From 2272a31765f37276b58bc867411ceaadf01d4d7b Mon Sep 17 00:00:00 2001 From: Oleg Sheynin Date: Thu, 17 Jul 2025 00:19:49 +0000 Subject: [PATCH 01/25] cointegration test initial --- lib/pt_trading/sliding_fit.py | 30 +- lib/pt_trading/static_fit.py | 8 - lib/pt_trading/trading_pair.py | 133 +- research/cointegration_test.py | 126 + .../__DEPRECATED__/pt_pair_backtest.ipynb | 4433 ----------------- .../notebooks/__DEPRECATED__/pt_static.ipynb | 771 --- research/pt_backtest.py | 26 +- research/research_tools.py | 69 + 8 files changed, 294 insertions(+), 5302 deletions(-) create mode 100644 research/cointegration_test.py delete mode 100644 research/notebooks/__DEPRECATED__/pt_pair_backtest.ipynb delete mode 100644 research/notebooks/__DEPRECATED__/pt_static.ipynb create mode 100644 research/research_tools.py diff --git a/lib/pt_trading/sliding_fit.py b/lib/pt_trading/sliding_fit.py index 9488af3..9898ca5 100644 --- a/lib/pt_trading/sliding_fit.py +++ b/lib/pt_trading/sliding_fit.py @@ -5,14 +5,10 @@ from typing import Dict, Optional, cast import pandas as pd # type: ignore[import] from pt_trading.fit_method import PairState, PairsTradingFitMethod from pt_trading.results import BacktestResult -from pt_trading.trading_pair import TradingPair +from pt_trading.trading_pair import CointegrationData, TradingPair NanoPerMin = 1e9 - - - - class SlidingFit(PairsTradingFitMethod): def __init__(self) -> None: super().__init__() @@ -37,7 +33,6 @@ class SlidingFit(PairsTradingFitMethod): "scaled_disequilibrium": "float64", "pair": "object" }) - pair.user_data_["is_cointegrated"] = False training_minutes = config["training_minutes"] curr_predicted_row_idx = 0 @@ -59,31 +54,10 @@ class SlidingFit(PairsTradingFitMethod): try: # ================================ TRAINING ================================ - is_cointegrated = pair.train_pair() + pair.train_pair() except Exception as e: raise RuntimeError(f"{pair}: Training failed: {str(e)}") from e - if pair.user_data_["is_cointegrated"] != is_cointegrated: - pair.user_data_["is_cointegrated"] = is_cointegrated - if not is_cointegrated: - if pair.user_data_["state"] == PairState.OPEN: - print( - f"{pair} {curr_training_start_idx} LOST COINTEGRATION. Consider closing positions..." - ) - else: - print( - f"{pair} {curr_training_start_idx} IS NOT COINTEGRATED. Moving on" - ) - else: - print("*" * 80) - print( - f"Pair {pair} ({curr_training_start_idx}) IS COINTEGRATED" - ) - print("*" * 80) - if not is_cointegrated: - curr_training_start_idx += 1 - continue - try: # ================================ PREDICTION ================================ pair.predict() diff --git a/lib/pt_trading/static_fit.py b/lib/pt_trading/static_fit.py index e182930..12bf3a7 100644 --- a/lib/pt_trading/static_fit.py +++ b/lib/pt_trading/static_fit.py @@ -18,14 +18,6 @@ class StaticFit(PairsTradingFitMethod): ) -> Optional[pd.DataFrame]: # abstractmethod config = pair.config_ pair.get_datasets(training_minutes=config["training_minutes"]) - try: - is_cointegrated = pair.train_pair() - if not is_cointegrated: - print(f"{pair} IS NOT COINTEGRATED") - return None - except Exception as e: - print(f"{pair}: Training failed: {str(e)}") - return None try: pair.predict() diff --git a/lib/pt_trading/trading_pair.py b/lib/pt_trading/trading_pair.py index e3e0645..7c3ba0c 100644 --- a/lib/pt_trading/trading_pair.py +++ b/lib/pt_trading/trading_pair.py @@ -1,8 +1,63 @@ +from __future__ import annotations + from typing import Any, Dict, List, Optional import pandas as pd # type:ignore from statsmodels.tsa.vector_ar.vecm import VECM, VECMResults # type:ignore +class CointegrationData: + EG_PVALUE_THRESHOLD = 0.05 + + tstamp_: pd.Timestamp + pair_: str + eg_pvalue_: float + johansen_lr1_: float + johansen_cvt_: float + eg_is_cointegrated_: bool + johansen_is_cointegrated_: bool + + def __init__(self, pair: TradingPair): + training_df = pair.training_df_ + + assert training_df is not None + from statsmodels.tsa.vector_ar.vecm import coint_johansen + + df = training_df[pair.colnames()].reset_index(drop=True) + + # Run Johansen cointegration test + result = coint_johansen(df, det_order=0, k_ar_diff=1) + self.johansen_lr1_ = result.lr1[0] + self.johansen_cvt_ = result.cvt[0, 1] + self.johansen_is_cointegrated_ = self.johansen_lr1_ > self.johansen_cvt_ + + # Run Engle-Granger cointegration test + from statsmodels.tsa.stattools import coint #type: ignore + + col1, col2 = pair.colnames() + assert training_df is not None + series1 = training_df[col1].reset_index(drop=True) + series2 = training_df[col2].reset_index(drop=True) + + self.eg_pvalue_ = float(coint(series1, series2)[1]) + self.eg_is_cointegrated_ = bool(self.eg_pvalue_ < self.EG_PVALUE_THRESHOLD) + + self.tstamp_ = training_df.index[-1] + self.pair_ = pair.name() + + def to_dict(self) -> Dict[str, Any]: + return { + "tstamp": self.tstamp_, + "pair": self.pair_, + "eg_pvalue": self.eg_pvalue_, + "johansen_lr1": self.johansen_lr1_, + "johansen_cvt": self.johansen_cvt_, + "eg_is_cointegrated": self.eg_is_cointegrated_, + "johansen_is_cointegrated": self.johansen_is_cointegrated_, + } + + def __repr__(self) -> str: + return f"CointegrationData(tstamp={self.tstamp_}, pair={self.pair_}, eg_pvalue={self.eg_pvalue_}, johansen_lr1={self.johansen_lr1_}, johansen_cvt={self.johansen_cvt_}, eg_is_cointegrated={self.eg_is_cointegrated_}, johansen_is_cointegrated={self.johansen_is_cointegrated_})" + class TradingPair: market_data_: pd.DataFrame @@ -148,42 +203,7 @@ class TradingPair: # print(f"{self}: {self.vecm_fit_.summary()}") pass - def check_cointegration_johansen(self) -> bool: - assert self.training_df_ is not None - from statsmodels.tsa.vector_ar.vecm import coint_johansen - - df = self.training_df_[self.colnames()].reset_index(drop=True) - result = coint_johansen(df, det_order=0, k_ar_diff=1) - # print( - # f"{self}: lr1={result.lr1[0]} > cvt={result.cvt[0, 1]}? {result.lr1[0] > result.cvt[0, 1]}" - # ) - is_cointegrated: bool = bool(result.lr1[0] > result.cvt[0, 1]) - - return is_cointegrated - - def check_cointegration_engle_granger(self) -> bool: - from statsmodels.tsa.stattools import coint - - col1, col2 = self.colnames() - assert self.training_df_ is not None - series1 = self.training_df_[col1].reset_index(drop=True) - series2 = self.training_df_[col2].reset_index(drop=True) - - # Run Engle-Granger cointegration test - pvalue = coint(series1, series2)[1] - # Define cointegration if p-value < 0.05 (i.e., reject null of no cointegration) - is_cointegrated: bool = bool(pvalue < 0.05) - # print(f"{self}: is_cointegrated={is_cointegrated} pvalue={pvalue}") - return is_cointegrated - - def check_cointegration(self) -> bool: - is_cointegrated_johansen = self.check_cointegration_johansen() - is_cointegrated_engle_granger = self.check_cointegration_engle_granger() - result = is_cointegrated_johansen or is_cointegrated_engle_granger - return result or True # TODO: remove this - - def train_pair(self) -> bool: - result = self.check_cointegration() + def train_pair(self) -> None: # print('*' * 80 + '\n' + f"**************** {self} IS COINTEGRATED ****************\n" + '*' * 80) self.fit_VECM() assert self.training_df_ is not None and self.vecm_fit_ is not None @@ -200,8 +220,6 @@ class TradingPair: diseq_series - self.training_mu_ ) / self.training_std_ - return result - def add_trades(self, trades: pd.DataFrame) -> None: if self.user_data_["trades"] is None or len(self.user_data_["trades"]) == 0: # If trades is empty or None, just assign the new trades directly @@ -286,6 +304,45 @@ class TradingPair: self.predicted_df_ = self.predicted_df_.reset_index(drop=True) return self.predicted_df_ + def cointegration_check(self) -> Optional[pd.DataFrame]: + print(f"***{self}*** STARTING....") + config = self.config_ + + curr_training_start_idx = 0 + + COINTEGRATION_DATA_COLUMNS = { + "tstamp" : "datetime64[ns]", + "pair" : "string", + "eg_pvalue" : "float64", + "johansen_lr1" : "float64", + "johansen_cvt" : "float64", + "eg_is_cointegrated" : "bool", + "johansen_is_cointegrated" : "bool", + } + # Initialize trades DataFrame with proper dtypes to avoid concatenation warnings + result: pd.DataFrame = pd.DataFrame(columns=[col for col in COINTEGRATION_DATA_COLUMNS.keys()]) #.astype(COINTEGRATION_DATA_COLUMNS) + + training_minutes = config["training_minutes"] + while True: + print(curr_training_start_idx, end="\r") + self.get_datasets( + training_minutes=training_minutes, + training_start_index=curr_training_start_idx, + testing_size=1, + ) + + if len(self.training_df_) < training_minutes: + print( + f"{self}: current offset={curr_training_start_idx}" + f" * Training data length={len(self.training_df_)} < {training_minutes}" + " * Not enough training data. Completing the job." + ) + break + new_row = pd.Series(CointegrationData(self).to_dict()) + result.loc[len(result)] = new_row + curr_training_start_idx += 1 + return result + def __repr__(self) -> str: return self.name() diff --git a/research/cointegration_test.py b/research/cointegration_test.py new file mode 100644 index 0000000..98c0f14 --- /dev/null +++ b/research/cointegration_test.py @@ -0,0 +1,126 @@ +import argparse +import glob +import importlib +import os +from datetime import date, datetime +from typing import Any, Dict, List, Optional + +import pandas as pd + +from tools.config import expand_filename, load_config +from tools.data_loader import get_available_instruments_from_db, load_market_data +from pt_trading.results import ( + BacktestResult, + create_result_database, + store_config_in_database, + store_results_in_database, +) +from pt_trading.fit_method import PairsTradingFitMethod +from pt_trading.trading_pair import TradingPair + +from research.research_tools import create_pairs, resolve_datafiles + + +def main() -> None: + parser = argparse.ArgumentParser(description="Run pairs trading backtest.") + parser.add_argument( + "--config", type=str, required=True, help="Path to the configuration file." + ) + parser.add_argument( + "--datafile", + type=str, + required=False, + help="Market data file to process.", + ) + parser.add_argument( + "--instruments", + type=str, + required=False, + help="Comma-separated list of instrument symbols (e.g., COIN,GBTC). If not provided, auto-detects from database.", + ) + args = parser.parse_args() + + config: Dict = load_config(args.config) + + # Resolve data files (CLI takes priority over config) + datafile = resolve_datafiles(config, args.datafile)[0] + + if not datafile: + print("No data files found to process.") + return + + print(f"Found {datafile} data files to process:") + + # # Create result database if needed + # if args.result_db.upper() != "NONE": + # args.result_db = expand_filename(args.result_db) + # create_result_database(args.result_db) + + # # Initialize a dictionary to store all trade results + # all_results: Dict[str, Dict[str, Any]] = {} + + # # Store configuration in database for reference + # if args.result_db.upper() != "NONE": + # # Get list of all instruments for storage + # all_instruments = [] + # for datafile in datafiles: + # if args.instruments: + # file_instruments = [ + # inst.strip() for inst in args.instruments.split(",") + # ] + # else: + # file_instruments = get_available_instruments_from_db(datafile, config) + # all_instruments.extend(file_instruments) + + # # Remove duplicates while preserving order + # unique_instruments = list(dict.fromkeys(all_instruments)) + + # store_config_in_database( + # db_path=args.result_db, + # config_file_path=args.config, + # config=config, + # fit_method_class=fit_method_class_name, + # datafiles=datafiles, + # instruments=unique_instruments, + # ) + + # Process each data file + price_column = config["price_column"] + + print(f"\n====== Processing {os.path.basename(datafile)} ======") + + # Determine instruments to use + if args.instruments: + # Use CLI-specified instruments + instruments = [inst.strip() for inst in args.instruments.split(",")] + print(f"Using CLI-specified instruments: {instruments}") + else: + # Auto-detect instruments from database + instruments = get_available_instruments_from_db(datafile, config) + print(f"Auto-detected instruments: {instruments}") + + if not instruments: + print(f"No instruments found in {datafile}...") + return + # Process data for this file + try: + cointegration_data: pd.DataFrame = pd.DataFrame() + for pair in create_pairs(datafile, price_column, config, instruments): + cointegration_data = pd.concat([cointegration_data, pair.cointegration_check()]) + + pd.set_option('display.width', 400) + pd.set_option('display.max_colwidth', None) + pd.set_option('display.max_columns', None) + with pd.option_context('display.max_rows', None, 'display.max_columns', None): + print(f"cointegration_data:\n{cointegration_data}") + + except Exception as err: + print(f"Error processing {datafile}: {str(err)}") + import traceback + + traceback.print_exc() + + + +if __name__ == "__main__": + main() diff --git a/research/notebooks/__DEPRECATED__/pt_pair_backtest.ipynb b/research/notebooks/__DEPRECATED__/pt_pair_backtest.ipynb deleted file mode 100644 index d849d05..0000000 --- a/research/notebooks/__DEPRECATED__/pt_pair_backtest.ipynb +++ /dev/null @@ -1,4433 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "vscode": { - "languageId": "raw" - } - }, - "source": [ - "# Pairs Trading Backtest Notebook\n", - "\n", - "This comprehensive notebook supports both StaticFit and SlidingFit.\n", - "It automatically adapts its analysis and visualization based on the strategy specified in the configuration file.\n", - "\n", - "## Key Features:\n", - "\n", - "1. **Configuration-Driven**: Loads strategy and parameters from HJSON configuration files\n", - "2. **Dual Model Support**: Works with both StaticFit and SlidingFit\n", - "3. **Adaptive Visualization**: Different visualizations based on selected strategy\n", - "4. **Comprehensive Analysis**: Deep analysis of trading pairs and dis-equilibrium\n", - "5. **Interactive Configuration**: Easy parameter adjustment and re-running\n", - "\n", - "## Usage:\n", - "\n", - "1. **Configure Parameters**: Set CONFIG_FILE, SYMBOL_A, SYMBOL_B, and TRADING_DATE\n", - "2. **Run Analysis**: Execute cells step by step\n", - "3. **View Results**: Comprehensive visualizations and trading signals\n", - "4. **Experiment**: Modify parameters and re-run for different scenarios\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "vscode": { - "languageId": "raw" - } - }, - "source": [ - "\n", - "# Settings" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# Trading Parameters Configuration\n", - "# Specify your configuration file, trading symbols and date here\n", - "\n", - "# Configuration file selection\n", - "CONFIG_FILE = \"equity\" # Options: \"equity\", \"crypto\", or custom filename (without .cfg extension)\n", - "\n", - "# Trading pair symbols\n", - "SYMBOL_A = \"COIN\" # Change this to your desired symbol A\n", - "SYMBOL_B = \"MSTR\" # Change this to your desired symbol B\n", - "\n", - "# Date for data file selection (format: YYYYMMDD)\n", - "TRADING_DATE = \"20250605\" # Change this to your desired date\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Setup and Configuration" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Code Setup" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Setup complete!\n" - ] - } - ], - "source": [ - "import sys\n", - "import os\n", - "sys.path.append('/home/oleg/develop/pairs_trading/lib')\n", - "sys.path.append('/home/coder/pairs_trading/lib')\n", - "\n", - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "import importlib\n", - "from typing import Dict, List, Optional\n", - "from IPython.display import clear_output\n", - "\n", - "# Import our modules\n", - "from pt_trading.fit_methods import StaticFit, SlidingFit, PairState\n", - "from tools.data_loader import load_market_data\n", - "from pt_trading.trading_pair import TradingPair\n", - "from pt_trading.results import BacktestResult\n", - "\n", - "# Set plotting style\n", - "plt.style.use('seaborn-v0_8')\n", - "sns.set_palette(\"husl\")\n", - "plt.rcParams['figure.figsize'] = (15, 10)\n", - "\n", - "print(\"Setup complete!\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "vscode": { - "languageId": "raw" - } - }, - "source": [ - "## Load Configuration\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Load Configuration from Configuration Files using HJSON\n", - "import hjson\n", - "import os\n", - "\n", - "def load_config_from_file(config_type) -> Optional[Dict]:\n", - " \"\"\"Load configuration from configuration files using HJSON\"\"\"\n", - " config_file = f\"../../configuration/{config_type}.cfg\"\n", - " \n", - " try:\n", - " with open(config_file, 'r') as f:\n", - " # HJSON handles comments, trailing commas, and other human-friendly features\n", - " config = hjson.load(f)\n", - " \n", - " # Convert relative paths to absolute paths from notebook perspective\n", - " if 'data_directory' in config:\n", - " data_dir = config['data_directory']\n", - " if data_dir.startswith('./'):\n", - " # Convert relative path to absolute path from notebook's perspective\n", - " config['data_directory'] = os.path.abspath(f\"../../{data_dir[2:]}\")\n", - " \n", - " return config\n", - " \n", - " except FileNotFoundError:\n", - " print(f\"Configuration file not found: {config_file}\")\n", - " return None\n", - " except hjson.HjsonDecodeError as e:\n", - " print(f\"HJSON parsing error in {config_file}: {e}\")\n", - " return None\n", - " except Exception as e:\n", - " print(f\"Unexpected error loading config from {config_file}: {e}\")\n", - " return None\n", - "\n", - "def instantiate_fit_method_from_config(config: Dict):\n", - " \"\"\"Dynamically instantiate strategy from config\"\"\"\n", - " fit_method_class_name = config.get(\"fit_method_class\", None)\n", - " assert fit_method_class_name is not None\n", - " try:\n", - " # Split module and class name\n", - " if '.' in fit_method_class_name:\n", - " module_name, class_name = fit_method_class_name.rsplit('.', 1)\n", - " else:\n", - " module_name = \"fit_methods\"\n", - " class_name = fit_method_class_name\n", - " \n", - " # Import module and get class\n", - " module = importlib.import_module(module_name)\n", - " fit_method_class = getattr(module, class_name)\n", - " \n", - " # Instantiate strategy\n", - " return fit_method_class()\n", - " \n", - " except Exception as e:\n", - " print(f\"Error instantiating strategy {fit_method_class_name}: {e}\")\n", - " raise Exception(f\"Error instantiating strategy {fit_method_class_name}: {e}\") from e\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Print Configuration" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Trading Parameters:\n", - " Configuration: equity\n", - " Symbol A: COIN\n", - " Symbol B: MSTR\n", - " Trading Date: 20250605\n", - "\n", - "Loading equity configuration using HJSON...\n", - "✓ Successfully loaded EQUITY configuration\n", - " Data directory: /home/oleg/develop/pairs_trading/data/equity\n", - " Database table: md_1min_bars\n", - " Exchange: ALPACA\n", - " Training window: 120 minutes\n", - " Open threshold: 2\n", - " Close threshold: 1\n", - " Strategy: SlidingFit\n", - "\n", - "Data Configuration:\n", - " Data File: 20250605.mktdata.ohlcv.db\n", - " Security Type: EQUITY\n", - " ✓ Data file found: /home/oleg/develop/pairs_trading/data/equity/20250605.mktdata.ohlcv.db\n" - ] - } - ], - "source": [ - "print(f\"Trading Parameters:\")\n", - "print(f\" Configuration: {CONFIG_FILE}\")\n", - "print(f\" Symbol A: {SYMBOL_A}\")\n", - "print(f\" Symbol B: {SYMBOL_B}\")\n", - "print(f\" Trading Date: {TRADING_DATE}\")\n", - "\n", - "# Load the specified configuration\n", - "print(f\"\\nLoading {CONFIG_FILE} configuration using HJSON...\")\n", - "\n", - "CONFIG = load_config_from_file(CONFIG_FILE)\n", - "assert CONFIG is not None\n", - "pt_bt_config: Dict = dict(CONFIG)\n", - "\n", - "if pt_bt_config:\n", - " print(f\"✓ Successfully loaded {pt_bt_config['security_type']} configuration\")\n", - " print(f\" Data directory: {pt_bt_config['data_directory']}\")\n", - " print(f\" Database table: {pt_bt_config['db_table_name']}\")\n", - " print(f\" Exchange: {pt_bt_config['exchange_id']}\")\n", - " print(f\" Training window: {pt_bt_config['training_minutes']} minutes\")\n", - " print(f\" Open threshold: {pt_bt_config['dis-equilibrium_open_trshld']}\")\n", - " print(f\" Close threshold: {pt_bt_config['dis-equilibrium_close_trshld']}\")\n", - " \n", - " # Instantiate strategy from config\n", - " FIT_MODEL = instantiate_fit_method_from_config(pt_bt_config)\n", - " print(f\" Strategy: {type(FIT_MODEL).__name__}\")\n", - " \n", - " # Automatically construct data file name based on date and config type\n", - " DATA_FILE = f\"{TRADING_DATE}.mktdata.ohlcv.db\"\n", - "\n", - " # Update CONFIG with the specific data file and instruments\n", - " pt_bt_config[\"datafiles\"] = [DATA_FILE]\n", - " pt_bt_config[\"instruments\"] = [SYMBOL_A, SYMBOL_B]\n", - " \n", - " print(f\"\\nData Configuration:\")\n", - " print(f\" Data File: {DATA_FILE}\")\n", - " print(f\" Security Type: {pt_bt_config['security_type']}\")\n", - " \n", - " # Verify data file exists\n", - " data_file_path = f\"{pt_bt_config['data_directory']}/{DATA_FILE}\"\n", - " if os.path.exists(data_file_path):\n", - " print(f\" ✓ Data file found: {data_file_path}\")\n", - " else:\n", - " print(f\" ⚠ Data file not found: {data_file_path}\")\n", - " print(f\" Please check if the date and file exist in the data directory\")\n", - " \n", - " # List available files in the data directory\n", - " try:\n", - " data_dir = pt_bt_config['data_directory']\n", - " if os.path.exists(data_dir):\n", - " available_files = [f for f in os.listdir(data_dir) if f.endswith('.db')]\n", - " print(f\" Available files in {data_dir}:\")\n", - " for file in sorted(available_files)[:5]: # Show first 5 files\n", - " print(f\" - {file}\")\n", - " if len(available_files) > 5:\n", - " print(f\" ... and {len(available_files)-5} more files\")\n", - " except Exception as e:\n", - " print(f\" Could not list files in data directory: {e}\")\n", - "else:\n", - " print(\"⚠ Failed to load configuration. Please check the configuration file.\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "vscode": { - "languageId": "raw" - } - }, - "source": [ - "## Load and Prepare Market Data\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loading data from: /home/oleg/develop/pairs_trading/data/equity/20250605.mktdata.ohlcv.db\n", - "Loaded 782 rows of market data\n", - "Symbols in data: ['COIN' 'MSTR']\n", - "Time range: 2025-06-05 13:30:00 to 2025-06-05 20:00:00\n", - "\n", - "Created trading pair: COIN & MSTR\n", - "Market data shape: (391, 3)\n", - "Column names: ['close_COIN', 'close_MSTR']\n", - "\n", - "Sample data:\n" - ] - }, - { - "data": { - "text/html": [ - "
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02025-06-05 13:30:00263.380384.7700
12025-06-05 13:31:00265.385382.7806
22025-06-05 13:32:00263.735379.8300
32025-06-05 13:33:00264.250380.0400
42025-06-05 13:34:00262.230379.6400
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" - ], - "text/plain": [ - " tstamp close_COIN close_MSTR\n", - "0 2025-06-05 13:30:00 263.380 384.7700\n", - "1 2025-06-05 13:31:00 265.385 382.7806\n", - "2 2025-06-05 13:32:00 263.735 379.8300\n", - "3 2025-06-05 13:33:00 264.250 380.0400\n", - "4 2025-06-05 13:34:00 262.230 379.6400" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Load market data\n", - "datafile_path = f\"{pt_bt_config['data_directory']}/{DATA_FILE}\"\n", - "print(f\"Loading data from: {datafile_path}\")\n", - "\n", - "market_data_df = load_market_data(datafile_path, config=pt_bt_config)\n", - "\n", - "print(f\"Loaded {len(market_data_df)} rows of market data\")\n", - "print(f\"Symbols in data: {market_data_df['symbol'].unique()}\")\n", - "print(f\"Time range: {market_data_df['tstamp'].min()} to {market_data_df['tstamp'].max()}\")\n", - "\n", - "# Create trading pair\n", - "pair = TradingPair(\n", - " market_data=market_data_df,\n", - " symbol_a=SYMBOL_A,\n", - " symbol_b=SYMBOL_B,\n", - " price_column=pt_bt_config[\"price_column\"]\n", - ")\n", - "\n", - "print(f\"\\nCreated trading pair: {pair}\")\n", - "print(f\"Market data shape: {pair.market_data_.shape}\")\n", - "print(f\"Column names: {pair.colnames()}\")\n", - "\n", - "# Display sample data\n", - "print(f\"\\nSample data:\")\n", - "display(pair.market_data_.head())\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fixed draw_symbol_trades function created successfully!\n", - "This function correctly filters trades data rather than trying to filter price data with trade conditions.\n" - ] - } - ], - "source": [ - "# Fixed draw_symbol_trades function\n", - "def draw_symbol_trades_fixed(fig, symbol_name, color, symbol_data, colname):\n", - " # Add Symbol price data to row 4 (subplot 4)\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=symbol_data['tstamp'],\n", - " y=symbol_data[colname],\n", - " name=f'{symbol_name} Price',\n", - " line=dict(color=color, width=2),\n", - " opacity=0.8\n", - " ),\n", - " row=4, col=1\n", - " )\n", - " \n", - " # Add trading signals for Symbol if available\n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " # Filter trades for this symbol\n", - " symbol_trades = pair_trades[pair_trades['symbol'] == symbol_name].copy()\n", - " \n", - " if len(symbol_trades) > 0:\n", - " # Separate trades by action and status - filter the trades, not the price data\n", - " buy_open_trades = symbol_trades[(symbol_trades['action'].str.contains('BUY', na=False)) & \n", - " (symbol_trades['status'] == 'OPEN')]\n", - " buy_close_trades = symbol_trades[(symbol_trades['action'].str.contains('BUY', na=False)) & \n", - " (symbol_trades['status'] == 'CLOSE')]\n", - " sell_open_trades = symbol_trades[(symbol_trades['action'].str.contains('SELL', na=False)) & \n", - " (symbol_trades['status'] == 'OPEN')]\n", - " sell_close_trades = symbol_trades[(symbol_trades['action'].str.contains('SELL', na=False)) & \n", - " (symbol_trades['status'] == 'CLOSE')]\n", - " \n", - " # Add BUY OPEN signals\n", - " if len(buy_open_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=buy_open_trades['time'],\n", - " y=buy_open_trades['price'],\n", - " mode='markers',\n", - " name=f'{symbol_name} BUY OPEN',\n", - " marker=dict(color='red', size=12, symbol='triangle-up'),\n", - " showlegend=True\n", - " ),\n", - " row=4, col=1\n", - " )\n", - " \n", - " # Add BUY CLOSE signals\n", - " if len(buy_close_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=buy_close_trades['time'],\n", - " y=buy_close_trades['price'],\n", - " mode='markers',\n", - " name=f'{symbol_name} BUY CLOSE',\n", - " marker=dict(color='red', size=12, symbol='triangle-down'),\n", - " showlegend=True\n", - " ),\n", - " row=4, col=1\n", - " )\n", - " \n", - " # Add SELL OPEN signals\n", - " if len(sell_open_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=sell_open_trades['time'],\n", - " y=sell_open_trades['price'],\n", - " mode='markers',\n", - " name=f'{symbol_name} SELL OPEN',\n", - " marker=dict(color='blue', size=12, symbol='triangle-up'),\n", - " showlegend=True\n", - " ),\n", - " row=4, col=1\n", - " )\n", - " \n", - " # Add SELL CLOSE signals\n", - " if len(sell_close_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=sell_close_trades['time'],\n", - " y=sell_close_trades['price'],\n", - " mode='markers',\n", - " name=f'{symbol_name} SELL CLOSE',\n", - " marker=dict(color='blue', size=12, symbol='triangle-down'),\n", - " showlegend=True\n", - " ),\n", - " row=4, col=1\n", - " )\n", - "\n", - "print(\"Fixed draw_symbol_trades function created successfully!\")\n", - "print(\"This function correctly filters trades data rather than trying to filter price data with trade conditions.\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Fit Method Functions" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "def run_static_fit(config: Dict, pair: TradingPair, bt_result: BacktestResult) -> bool:\n", - " is_cointegrated = False\n", - " print(\"\\n=== STATIC FIT ANALYSIS ===\")\n", - " \n", - " # For StaticFit, we do traditional training/testing split\n", - " training_minutes = pt_bt_config[\"training_minutes\"]\n", - " pair.get_datasets(training_minutes=training_minutes)\n", - " \n", - " print(f\"Training data: {len(pair.training_df_)} rows\")\n", - " print(f\"Testing data: {len(pair.testing_df_)} rows\")\n", - " print(f\"Training period: {pair.training_df_['tstamp'].iloc[0]} to {pair.training_df_['tstamp'].iloc[-1]}\")\n", - " print(f\"Testing period: {pair.testing_df_['tstamp'].iloc[0]} to {pair.testing_df_['tstamp'].iloc[-1]}\")\n", - " \n", - " # Train and test cointegration\n", - " is_cointegrated = pair.train_pair()\n", - " print(f\"Pair cointegration status: {is_cointegrated}\")\n", - " \n", - " if is_cointegrated:\n", - " print(f\"VECM Beta coefficients: {pair.vecm_fit_.beta.flatten()}\")\n", - " print(f\"Training dis-equilibrium mean: {pair.training_mu_:.6f}\")\n", - " print(f\"Training dis-equilibrium std: {pair.training_std_:.6f}\")\n", - " \n", - " # Generate predictions and run strategy\n", - " pair.predict()\n", - " pair_trades = FIT_MODEL.run_pair(config=pt_bt_config, pair=pair, bt_result=bt_result)\n", - " \n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " print(f\"Generated {len(pair_trades)} trading signals\")\n", - " else:\n", - " print(\"No trading signals generated\")\n", - " else:\n", - " print(\"Pair is not cointegrated - cannot proceed with strategy\")\n", - "\n", - " return is_cointegrated\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "vscode": { - "languageId": "raw" - } - }, - "source": [ - "## Print Strategy Specifics\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Analysis for SlidingFit...\n", - "\n", - "=== SLIDING FIT FIT_MODEL ANALYSIS ===\n", - "This strategy:\n", - " - Re-fits cointegration model using sliding window\n", - " - Adapts to changing market conditions\n", - " - Dynamic parameter updates every minute\n", - "\n", - "Sliding window analysis parameters:\n", - " Training window size: 120 minutes\n", - " Maximum iterations: 271\n", - " Total analysis time: ~271 minutes\n", - "\n", - "Strategy Configuration:\n", - " Open threshold: 2\n", - " Close threshold: 1\n", - " Training minutes: 120\n", - " Funding per pair: $2000\n" - ] - } - ], - "source": [ - "# Determine analysis approach based on strategy type\n", - "FIT_METHOD_TYPE = type(FIT_MODEL).__name__\n", - "print(f\"Analysis for {FIT_METHOD_TYPE}...\")\n", - "\n", - "if FIT_METHOD_TYPE == \"StaticFit\":\n", - " print(\"\\n=== STATIC FIT FIT_MODEL ANALYSIS ===\")\n", - " print(\"This strategy:\")\n", - " print(\" - Fits cointegration model once using training data\")\n", - " print(\" - Uses fixed parameters for entire trading period\")\n", - " print(\" - Generates trading signals based on static thresholds\")\n", - " \n", - "elif FIT_METHOD_TYPE == \"SlidingFit\":\n", - " print(\"\\n=== SLIDING FIT FIT_MODEL ANALYSIS ===\")\n", - " print(\"This strategy:\")\n", - " print(\" - Re-fits cointegration model using sliding window\")\n", - " print(\" - Adapts to changing market conditions\")\n", - " print(\" - Dynamic parameter updates every minute\")\n", - " \n", - " # Calculate maximum possible iterations for sliding window\n", - " training_minutes = pt_bt_config[\"training_minutes\"]\n", - " max_iterations = len(pair.market_data_) - training_minutes\n", - " print(f\"\\nSliding window analysis parameters:\")\n", - " print(f\" Training window size: {training_minutes} minutes\")\n", - " print(f\" Maximum iterations: {max_iterations}\")\n", - " print(f\" Total analysis time: ~{max_iterations} minutes\")\n", - "\n", - "print(f\"\\nStrategy Configuration:\")\n", - "print(f\" Open threshold: {pt_bt_config['dis-equilibrium_open_trshld']}\")\n", - "print(f\" Close threshold: {pt_bt_config['dis-equilibrium_close_trshld']}\")\n", - "print(f\" Training minutes: {pt_bt_config['training_minutes']}\")\n", - "print(f\" Funding per pair: ${pt_bt_config['funding_per_pair']}\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "vscode": { - "languageId": "raw" - } - }, - "source": [ - "## Visualize Raw Price Data\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Price Statistics:\n", - " COIN: Mean=$253.37, Std=$5.92\n", - " MSTR: Mean=$375.88, Std=$4.10\n", - " Price Ratio: Mean=0.67, Std=0.01\n", - " Correlation: 0.9498\n" - ] - } - ], - "source": [ - "# Plot raw price data\n", - "\n", - "# Get column names for the trading pair\n", - "colname_a, colname_b = pair.colnames()\n", - "price_data = pair.market_data_.copy()\n", - "\n", - "# # 1. Price data - separate plots for each symbol\n", - "# colname_a, colname_b = pair.colnames()\n", - "# price_data = pair.market_data_.copy()\n", - "\n", - "# Create separate subplots for better visibility\n", - "fig_price, price_axes = plt.subplots(2, 1, figsize=(18, 10))\n", - "\n", - "# Plot SYMBOL_A\n", - "price_axes[0].plot(price_data['tstamp'], price_data[colname_a], alpha=0.7, \n", - " label=f'{SYMBOL_A}', linewidth=1, color='blue')\n", - "price_axes[0].set_title(f'{SYMBOL_A} Price Data')\n", - "price_axes[0].set_ylabel(f'{SYMBOL_A} Price')\n", - "price_axes[0].legend()\n", - "price_axes[0].grid(True)\n", - "\n", - "# Plot SYMBOL_B\n", - "price_axes[1].plot(price_data['tstamp'], price_data[colname_b], alpha=0.7, \n", - " label=f'{SYMBOL_B}', linewidth=1, color='red')\n", - "price_axes[1].set_title(f'{SYMBOL_B} Price Data')\n", - "price_axes[1].set_ylabel(f'{SYMBOL_B} Price')\n", - "price_axes[1].set_xlabel('Time')\n", - "price_axes[1].legend()\n", - "price_axes[1].grid(True)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n", - " \n", - "\n", - "# Plot individual prices\n", - "fig, axes = plt.subplots(2, 1, figsize=(18, 12))\n", - "\n", - "# Normalized prices for comparison\n", - "norm_a = price_data[colname_a] / price_data[colname_a].iloc[0]\n", - "norm_b = price_data[colname_b] / price_data[colname_b].iloc[0]\n", - "\n", - "axes[0].plot(price_data['tstamp'], norm_a, label=f'{SYMBOL_A} (normalized)', alpha=0.8, linewidth=1)\n", - "axes[0].plot(price_data['tstamp'], norm_b, label=f'{SYMBOL_B} (normalized)', alpha=0.8, linewidth=1)\n", - "axes[0].set_title('Normalized Price Comparison (Base = 1.0)')\n", - "axes[0].set_ylabel('Normalized Price')\n", - "axes[0].legend()\n", - "axes[0].grid(True)\n", - "\n", - "# Price ratio\n", - "price_ratio = price_data[colname_a] / price_data[colname_b]\n", - "axes[1].plot(price_data['tstamp'], price_ratio, label=f'{SYMBOL_A}/{SYMBOL_B} Ratio', color='green', alpha=0.8, linewidth=1)\n", - "axes[1].set_title('Price Ratio')\n", - "axes[1].set_ylabel('Ratio')\n", - "axes[1].set_xlabel('Time')\n", - "axes[1].legend()\n", - "axes[1].grid(True)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n", - "# Print basic statistics\n", - "print(f\"\\nPrice Statistics:\")\n", - "print(f\" {SYMBOL_A}: Mean=${price_data[colname_a].mean():.2f}, Std=${price_data[colname_a].std():.2f}\")\n", - "print(f\" {SYMBOL_B}: Mean=${price_data[colname_b].mean():.2f}, Std=${price_data[colname_b].std():.2f}\")\n", - "print(f\" Price Ratio: Mean={price_ratio.mean():.2f}, Std={price_ratio.std():.2f}\")\n", - "print(f\" Correlation: {price_data[colname_a].corr(price_data[colname_b]):.4f}\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "vscode": { - "languageId": "raw" - } - }, - "source": [ - "# Run" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Running SlidingFit analysis...\n", - "\n", - "=== SLIDING FIT ANALYSIS ===\n", - "Processing first 200 iterations for demonstration...\n", - "***COIN & MSTR*** STARTING....\n", - "********************************************************************************\n", - "Pair COIN & MSTR (0) IS COINTEGRATED\n", - "********************************************************************************\n", - "COIN & MSTR: 272 Not enough training data. Completing the job.\n", - "OPEN_TRADES: 2025-06-05 15:40:00 open_scaled_disequilibrium=np.float64(2.1021479687626523)\n", - "OPEN TRADES:\n", - " time action symbol price disequilibrium \\\n", - "0 2025-06-05 15:40:00 SELL COIN 260.465 1.991597 \n", - "1 2025-06-05 15:40:00 BUY MSTR 380.530 1.991597 \n", - "\n", - " scaled_disequilibrium pair status \n", - "0 2.102148 COIN & MSTR OPEN \n", - "1 2.102148 COIN & MSTR OPEN \n", - "CLOSE TRADES:\n", - " time action symbol price disequilibrium \\\n", - "0 2025-06-05 16:02:00 BUY COIN 259.3853 0.208324 \n", - "1 2025-06-05 16:02:00 SELL MSTR 379.9023 0.208324 \n", - "\n", - " scaled_disequilibrium pair status \n", - "0 0.744767 COIN & MSTR CLOSE \n", - "1 0.744767 COIN & MSTR CLOSE \n", - "OPEN_TRADES: 2025-06-05 16:31:00 open_scaled_disequilibrium=np.float64(2.0704276873028338)\n", - "OPEN TRADES:\n", - " time action symbol price disequilibrium \\\n", - "0 2025-06-05 16:31:00 SELL COIN 259.62 1.917107 \n", - "1 2025-06-05 16:31:00 BUY MSTR 377.25 1.917107 \n", - "\n", - " scaled_disequilibrium pair status \n", - "0 2.070428 COIN & MSTR OPEN \n", - "1 2.070428 COIN & MSTR OPEN \n", - "CLOSE TRADES:\n", - " time action symbol price disequilibrium \\\n", - "0 2025-06-05 16:42:00 BUY COIN 257.28 0.471149 \n", - "1 2025-06-05 16:42:00 SELL MSTR 375.58 0.471149 \n", - "\n", - " scaled_disequilibrium pair status \n", - "0 0.762836 COIN & MSTR CLOSE \n", - "1 0.762836 COIN & MSTR CLOSE \n", - "OPEN_TRADES: 2025-06-05 16:46:00 open_scaled_disequilibrium=np.float64(2.199766239888042)\n", - "OPEN TRADES:\n", - " time action symbol price disequilibrium \\\n", - "0 2025-06-05 16:46:00 BUY COIN 254.6100 -2.275201 \n", - "1 2025-06-05 16:46:00 SELL MSTR 376.1044 -2.275201 \n", - "\n", - " scaled_disequilibrium pair status \n", - "0 2.199766 COIN & MSTR OPEN \n", - "1 2.199766 COIN & MSTR OPEN \n", - "CLOSE TRADES:\n", - " time action symbol price disequilibrium \\\n", - "0 2025-06-05 17:34:00 SELL COIN 252.83 0.248202 \n", - "1 2025-06-05 17:34:00 BUY MSTR 375.00 0.248202 \n", - "\n", - " scaled_disequilibrium pair status \n", - "0 0.957174 COIN & MSTR CLOSE \n", - "1 0.957174 COIN & MSTR CLOSE \n", - "OPEN_TRADES: 2025-06-05 18:51:00 open_scaled_disequilibrium=np.float64(2.1149913107636116)\n", - "OPEN TRADES:\n", - " time action symbol price disequilibrium \\\n", - "0 2025-06-05 18:51:00 SELL COIN 245.77 61.682717 \n", - "1 2025-06-05 18:51:00 BUY MSTR 372.40 61.682717 \n", - "\n", - " scaled_disequilibrium pair status \n", - "0 2.114991 COIN & MSTR OPEN \n", - "1 2.114991 COIN & MSTR OPEN \n", - "CLOSE TRADES:\n", - " time action symbol price disequilibrium \\\n", - "0 2025-06-05 19:10:00 BUY COIN 245.59 9.682403 \n", - "1 2025-06-05 19:10:00 SELL MSTR 370.66 9.682403 \n", - "\n", - " scaled_disequilibrium pair status \n", - "0 0.979289 COIN & MSTR CLOSE \n", - "1 0.979289 COIN & MSTR CLOSE \n", - "OPEN_TRADES: 2025-06-05 19:15:00 open_scaled_disequilibrium=np.float64(2.006393273424948)\n", - "OPEN TRADES:\n", - " time action symbol price disequilibrium \\\n", - "0 2025-06-05 19:15:00 SELL COIN 244.020 325.962059 \n", - "1 2025-06-05 19:15:00 BUY MSTR 368.225 325.962059 \n", - "\n", - " scaled_disequilibrium pair status \n", - "0 2.006393 COIN & MSTR OPEN \n", - "1 2.006393 COIN & MSTR OPEN \n", - "CLOSE TRADES:\n", - " time action symbol price disequilibrium \\\n", - "0 2025-06-05 19:16:00 BUY COIN 243.27 -22.525948 \n", - "1 2025-06-05 19:16:00 SELL MSTR 367.22 -22.525948 \n", - "\n", - " scaled_disequilibrium pair status \n", - "0 0.701777 COIN & MSTR CLOSE \n", - "1 0.701777 COIN & MSTR CLOSE \n", - "***COIN & MSTR*** FINISHED ... 20\n", - "Generated 20 trading signals\n", - "\n", - "Strategy execution completed!\n", - "\n", - "================================================================================\n", - "BACKTEST RESULTS\n", - "================================================================================\n", - "\n", - "Detailed Trading Signals:\n", - "Time Action Symbol Price Scaled Dis-eq \n", - "--------------------------------------------------------------------------------\n", - "2025-06-05 15:40:00 SELL COIN $260.46 2.102 \n", - "2025-06-05 15:40:00 BUY MSTR $380.53 2.102 \n", - "2025-06-05 16:02:00 BUY COIN $259.39 0.745 \n", - "2025-06-05 16:02:00 SELL MSTR $379.90 0.745 \n", - "2025-06-05 16:31:00 SELL COIN $259.62 2.070 \n", - "2025-06-05 16:31:00 BUY MSTR $377.25 2.070 \n", - "2025-06-05 16:42:00 BUY COIN $257.28 0.763 \n", - "2025-06-05 16:42:00 SELL MSTR $375.58 0.763 \n", - "2025-06-05 16:46:00 BUY COIN $254.61 2.200 \n", - "2025-06-05 16:46:00 SELL MSTR $376.10 2.200 \n", - "... and 10 more trading signals\n", - "\n", - "====== NO OUTSTANDING POSITIONS ======\n", - "\n", - "====== GRAND TOTALS ACROSS ALL PAIRS ======\n", - "Total Realized PnL: 0.00%\n", - "\n", - "================================================================================\n" - ] - } - ], - "source": [ - "# Initialize strategy state and run analysis\n", - "print(f\"Running {FIT_METHOD_TYPE} analysis...\")\n", - "\n", - "# Initialize result tracking\n", - "bt_result = BacktestResult(config=pt_bt_config)\n", - "pair_trades = None\n", - "\n", - "# Run strategy-specific analysis\n", - "if FIT_METHOD_TYPE == \"StaticFit\":\n", - " is_cointegrated = run_static_fit(config=pt_bt_config, pair=pair, bt_result=bt_result)\n", - "elif FIT_METHOD_TYPE == \"SlidingFit\":\n", - " print(\"\\n=== SLIDING FIT ANALYSIS ===\")\n", - " \n", - " # Initialize tracking variables for sliding window analysis\n", - " training_minutes = pt_bt_config[\"training_minutes\"]\n", - " max_iterations = len(pair.market_data_) - training_minutes\n", - " \n", - " # Limit iterations for demonstration (change this for full run)\n", - " max_demo_iterations = min(200, max_iterations)\n", - " print(f\"Processing first {max_demo_iterations} iterations for demonstration...\")\n", - " \n", - " # Initialize pair state for sliding fit method\n", - " pair.user_data_['state'] = PairState.INITIAL\n", - " pair.user_data_[\"trades\"] = pd.DataFrame(columns=pd.Index(FIT_MODEL.TRADES_COLUMNS, dtype=str))\n", - " pair.user_data_[\"is_cointegrated\"] = False\n", - " \n", - " # Run the sliding fit method\n", - " # ==========================================================================\n", - " pair_trades = FIT_MODEL.run_pair(config=pt_bt_config, pair=pair, bt_result=bt_result)\n", - " # ==========================================================================\n", - " \n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " print(f\"Generated {len(pair_trades)} trading signals\")\n", - " else:\n", - " print(\"No trading signals generated\")\n", - "\n", - "print(\"\\nStrategy execution completed!\")\n", - "\n", - "# Print comprehensive backtest results\n", - "print(\"\\n\" + \"=\"*80)\n", - "print(\"BACKTEST RESULTS\")\n", - "print(\"=\"*80)\n", - "\n", - "assert pair.predicted_df_ is not None\n", - "\n", - "if pair_trades is not None and len(pair_trades) > 0:\n", - " # Print detailed results using BacktestResult methods\n", - " bt_result.print_single_day_results()\n", - " \n", - " # Print trading signal details\n", - " print(f\"\\nDetailed Trading Signals:\")\n", - " print(f\"{'Time':<20} {'Action':<15} {'Symbol':<10} {'Price':<12} {'Scaled Dis-eq':<15}\")\n", - " print(\"-\" * 80)\n", - " \n", - " for _, trade in pair_trades.head(10).iterrows(): # Show first 10 trades\n", - " time_str = str(trade['time'])[:19] \n", - " action_str = str(trade['action'])[:14]\n", - " symbol_str = str(trade['symbol'])[:9]\n", - " price_str = f\"${trade['price']:.2f}\"\n", - " diseq_str = f\"{trade.get('scaled_disequilibrium', 'N/A'):.3f}\" if 'scaled_disequilibrium' in trade else 'N/A'\n", - " \n", - " print(f\"{time_str:<20} {action_str:<15} {symbol_str:<10} {price_str:<12} {diseq_str:<15}\")\n", - " \n", - " if len(pair_trades) > 10:\n", - " print(f\"... and {len(pair_trades)-10} more trading signals\")\n", - " \n", - " # Print outstanding positions\n", - " bt_result.print_outstanding_positions()\n", - " \n", - " # Print grand totals\n", - " bt_result.print_grand_totals()\n", - " \n", - "else:\n", - " print(f\"\\nNo trading signals generated\")\n", - " print(f\"Backtest completed with no trades\")\n", - " \n", - " # Still print any outstanding information\n", - " print(f\"\\nConfiguration Summary:\")\n", - " print(f\" Pair: {SYMBOL_A} & {SYMBOL_B}\")\n", - " print(f\" Strategy: {FIT_METHOD_TYPE}\")\n", - " print(f\" Open threshold: {pt_bt_config['dis-equilibrium_open_trshld']}\")\n", - " print(f\" Close threshold: {pt_bt_config['dis-equilibrium_close_trshld']}\")\n", - " print(f\" Training window: {pt_bt_config['training_minutes']} minutes\")\n", - " \n", - " if FIT_METHOD_TYPE == \"StaticFit\":\n", - " if 'is_cointegrated' in locals() and is_cointegrated:\n", - " print(f\" Cointegration: ✓ Confirmed\")\n", - " if hasattr(pair, 'predicted_df_') and len(pair.predicted_df_) > 0:\n", - " scaled_diseq = pair.predicted_df_['scaled_disequilibrium']\n", - " max_abs_diseq = scaled_diseq.abs().max()\n", - " print(f\" Max absolute scaled dis-equilibrium: {max_abs_diseq:.3f}\")\n", - " if max_abs_diseq < pt_bt_config['dis-equilibrium_open_trshld']:\n", - " print(f\" Note: Max dis-equilibrium ({max_abs_diseq:.3f}) never reached open threshold ({pt_bt_config['dis-equilibrium_open_trshld']})\")\n", - " else:\n", - " print(f\" Cointegration: ✗ Not detected\")\n", - " elif FIT_METHOD_TYPE == \"SlidingFit\":\n", - " pass # TODO: Implement sliding fit cointegration check\n", - "print(\"\\n\" + \"=\"*80)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "vscode": { - "languageId": "raw" - } - }, - "source": [ - "## Visualization\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "=== SLIDING FIT FIT_MODEL VISUALIZATION ===\n", - "Note: Sliding strategy visualization requires detailed tracking data\n", - "For full sliding window visualization, run the complete sliding analysis\n", - "Using consistent timeline with 391 timestamps\n", - "Timeline range: 2025-06-05 13:30:00 to 2025-06-05 20:00:00\n" - ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Strategy-specific visualization\n", - "from matplotlib.pyplot import pink\n", - "\n", - "\n", - "assert pt_bt_config is not None\n", - "assert pair.predicted_df_ is not None\n", - "\n", - "if FIT_METHOD_TYPE == \"StaticFit\" and hasattr(pair, 'predicted_df_'):\n", - " print(\"=== STATIC FIT FIT_MODEL VISUALIZATION ===\")\n", - " \n", - " fig, axes = plt.subplots(4, 1, figsize=(18, 16))\n", - " \n", - " # 1. Actual vs Predicted Prices\n", - " colname_a, colname_b = pair.colnames()\n", - " \n", - " axes[0].plot(pair.predicted_df_['tstamp'], pair.predicted_df_[colname_a],\n", - " label=f'{SYMBOL_A} Actual', alpha=0.8, linewidth=1)\n", - " axes[0].plot(pair.predicted_df_['tstamp'], pair.predicted_df_[f'{colname_a}_pred'],\n", - " label=f'{SYMBOL_A} Predicted', alpha=0.8, linestyle='--', linewidth=1)\n", - " axes[0].plot(pair.predicted_df_['tstamp'], pair.predicted_df_[colname_b],\n", - " label=f'{SYMBOL_B} Actual', alpha=0.8, linewidth=1)\n", - " axes[0].plot(pair.predicted_df_['tstamp'], pair.predicted_df_[f'{colname_b}_pred'],\n", - " label=f'{SYMBOL_B} Predicted', alpha=0.8, linestyle='--', linewidth=1)\n", - " axes[0].set_title('Actual vs Predicted Prices')\n", - " axes[0].set_ylabel('Price')\n", - " axes[0].legend()\n", - " axes[0].grid(True)\n", - " \n", - " # 2. Raw dis-equilibrium\n", - " axes[1].plot(pair.predicted_df_['tstamp'], pair.predicted_df_['disequilibrium'],\n", - " color='blue', alpha=0.8, label='Dis-equilibrium', linewidth=1)\n", - " axes[1].axhline(y=pair.training_mu_, color='red', linestyle='--', alpha=0.7, label='Training Mean')\n", - " axes[1].set_title('Testing Period: Raw Dis-equilibrium')\n", - " axes[1].set_ylabel('Dis-equilibrium')\n", - " axes[1].legend()\n", - " axes[1].grid(True)\n", - " \n", - " # 3. Scaled dis-equilibrium with thresholds\n", - " axes[2].plot(pair.predicted_df_['tstamp'], pair.predicted_df_['scaled_disequilibrium'],\n", - " color='green', alpha=0.8, label='Scaled Dis-equilibrium', linewidth=1)\n", - " axes[2].axhline(y=pt_bt_config['dis-equilibrium_open_trshld'], color='purple',\n", - " linestyle=':', alpha=0.7, label=f\"Open Threshold ({pt_bt_config['dis-equilibrium_open_trshld']})\")\n", - " axes[2].axhline(y=-pt_bt_config['dis-equilibrium_open_trshld'], color='purple',\n", - " linestyle=':', alpha=0.7)\n", - " axes[2].axhline(y=pt_bt_config['dis-equilibrium_close_trshld'], color='brown',\n", - " linestyle=':', alpha=0.7, label=f\"Close Threshold ({pt_bt_config['dis-equilibrium_close_trshld']})\")\n", - " axes[2].axhline(y=-pt_bt_config['dis-equilibrium_close_trshld'], color='brown',\n", - " linestyle=':', alpha=0.7)\n", - " axes[2].axhline(y=0, color='black', linestyle='-', alpha=0.5, linewidth=0.5)\n", - " axes[2].set_title('Testing Period: Scaled Dis-equilibrium with Trading Thresholds')\n", - " axes[2].set_ylabel('Scaled Dis-equilibrium')\n", - " axes[2].legend()\n", - " axes[2].grid(True)\n", - " \n", - " # 4. Trading signals overlay\n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " # Create a copy of the scaled dis-equilibrium plot\n", - " axes[3].plot(pair.predicted_df_['tstamp'], pair.predicted_df_['scaled_disequilibrium'],\n", - " color='green', alpha=0.8, label='Scaled Dis-equilibrium', linewidth=1)\n", - " axes[3].axhline(y=pt_bt_config['dis-equilibrium_open_trshld'], color='purple',\n", - " linestyle=':', alpha=0.7, label=f\"Open Threshold\")\n", - " axes[3].axhline(y=-pt_bt_config['dis-equilibrium_open_trshld'], color='purple',\n", - " linestyle=':', alpha=0.7)\n", - " \n", - " # Add trading signals\n", - " for idx, (_, trade) in enumerate(pair_trades.iterrows()):\n", - " color = 'red' if 'BUY' in trade['action'] else 'blue'\n", - " marker = '^' if 'BUY' in trade['action'] else 'v'\n", - " axes[3].scatter(trade['time'], trade['scaled_disequilibrium'],\n", - " color=color, marker=marker, s=100, alpha=0.8,\n", - " label=f\"{trade['action']} {trade['symbol']}\" if idx < 2 else \"\")\n", - " \n", - " axes[3].set_title('Trading Signals on Scaled Dis-equilibrium')\n", - " else:\n", - " axes[3].text(0.5, 0.5, 'No Trading Signals Generated', \n", - " transform=axes[3].transAxes, ha='center', va='center', fontsize=16)\n", - " axes[3].set_title('Trading Signals (None Generated)')\n", - " \n", - " axes[3].set_ylabel('Scaled Dis-equilibrium')\n", - " axes[3].set_xlabel('Time')\n", - " axes[3].legend()\n", - " axes[3].grid(True)\n", - " \n", - " plt.tight_layout()\n", - " plt.show()\n", - "\n", - "elif FIT_METHOD_TYPE == \"SlidingFit\":\n", - " print(\"=== SLIDING FIT FIT_MODEL VISUALIZATION ===\")\n", - " print(\"Note: Sliding strategy visualization requires detailed tracking data\")\n", - " print(\"For full sliding window visualization, run the complete sliding analysis\")\n", - " \n", - " # Create consistent timeline - superset of timestamps from both dataframes\n", - " market_timestamps = set(pair.market_data_['tstamp'])\n", - " predicted_timestamps = set(pair.predicted_df_['tstamp'])\n", - " \n", - " # Create superset of all timestamps\n", - " all_timestamps = sorted(market_timestamps.union(predicted_timestamps))\n", - " \n", - " # Create a unified timeline dataframe for consistent plotting\n", - " timeline_df = pd.DataFrame({'tstamp': all_timestamps})\n", - " \n", - " # Merge with predicted data to get dis-equilibrium values\n", - " timeline_df = timeline_df.merge(pair.predicted_df_[['tstamp', 'disequilibrium', 'scaled_disequilibrium']], \n", - " on='tstamp', how='left')\n", - " \n", - " print(f\"Using consistent timeline with {len(timeline_df)} timestamps\")\n", - " print(f\"Timeline range: {timeline_df['tstamp'].min()} to {timeline_df['tstamp'].max()}\")\n", - " \n", - " fig, axes = plt.subplots(3, 1, figsize=(18, 16))\n", - " \n", - " # 1. Raw dis-equilibrium - using consistent timeline\n", - " axes[0].plot(timeline_df['tstamp'], timeline_df['disequilibrium'],\n", - " color='blue', alpha=0.8, label='Dis-equilibrium', linewidth=1)\n", - " axes[0].axhline(y=pair.training_mu_, color='red', linestyle='--', alpha=0.7, label='Training Mean')\n", - " axes[0].set_title('Testing Period: Raw Dis-equilibrium')\n", - " axes[0].set_ylabel('Dis-equilibrium')\n", - " axes[0].set_xlim(timeline_df['tstamp'].min(), timeline_df['tstamp'].max())\n", - " axes[0].legend()\n", - " axes[0].grid(True)\n", - " \n", - " # 2. Scaled dis-equilibrium with thresholds - using consistent timeline\n", - " axes[1].plot(timeline_df['tstamp'], timeline_df['scaled_disequilibrium'],\n", - " color='green', alpha=0.8, label='Scaled Dis-equilibrium', linewidth=1)\n", - " axes[1].axhline(y=pt_bt_config['dis-equilibrium_open_trshld'], color='purple',\n", - " linestyle=':', alpha=0.7, label=f\"Open Threshold ({pt_bt_config['dis-equilibrium_open_trshld']})\")\n", - " axes[1].axhline(y=-pt_bt_config['dis-equilibrium_open_trshld'], color='purple',\n", - " linestyle=':', alpha=0.7)\n", - " axes[1].axhline(y=pt_bt_config['dis-equilibrium_close_trshld'], color='brown',\n", - " linestyle=':', alpha=0.7, label=f\"Close Threshold ({pt_bt_config['dis-equilibrium_close_trshld']})\")\n", - " axes[1].axhline(y=-pt_bt_config['dis-equilibrium_close_trshld'], color='brown',\n", - " linestyle=':', alpha=0.7)\n", - " axes[1].axhline(y=0, color='black', linestyle='-', alpha=0.5, linewidth=0.5)\n", - " axes[1].set_title('Testing Period: Scaled Dis-equilibrium with Trading Thresholds')\n", - " axes[1].set_ylabel('Scaled Dis-equilibrium')\n", - " axes[1].set_xlim(timeline_df['tstamp'].min(), timeline_df['tstamp'].max())\n", - " axes[1].legend()\n", - " axes[1].grid(True)\n", - "\n", - " # 3. Trading signals if available - using consistent timeline\n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " # Show trading signals over time\n", - " trade_times = pair_trades['time'].values\n", - " trade_actions = pair_trades['action'].values\n", - " position_statuses = pair_trades['status'].values\n", - " \n", - " for i, (time, action, status) in enumerate(zip(trade_times, trade_actions, position_statuses)):\n", - " if action == \"BUY\":\n", - " if status == \"OPEN\":\n", - " color='red'\n", - " else:\n", - " color='pink'\n", - " else:\n", - " if status == \"OPEN\":\n", - " color='blue'\n", - " else:\n", - " color='purple'\n", - " axes[2].scatter(time, i, color=color, alpha=0.8, s=50)\n", - " \n", - " axes[2].set_title('Trading Signal Timeline')\n", - " axes[2].set_ylabel('Signal Index')\n", - " else:\n", - " axes[2].text(0.5, 0.5, 'No Trading Signals Generated', \n", - " transform=axes[2].transAxes, ha='center', va='center', fontsize=16)\n", - " axes[2].set_title('Trading Signals (None Generated)')\n", - " \n", - " # Set consistent x-axis limits for all charts\n", - " axes[2].set_xlim(timeline_df['tstamp'].min(), timeline_df['tstamp'].max())\n", - " axes[2].set_xlabel('Time')\n", - " axes[2].grid(True)\n", - " \n", - " plt.tight_layout()\n", - " plt.show()\n", - "\n", - "else:\n", - " print(\"No visualization data available - strategy may not have run successfully\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualisation-2 (plotly)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - " \n", - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "=== SLIDING FIT INTERACTIVE VISUALIZATION ===\n", - "Note: Sliding strategy visualization with interactive plotly charts\n", - "Using consistent timeline with 391 timestamps\n", - "Timeline range: 2025-06-05 13:30:00 to 2025-06-05 20:00:00\n" - ] - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "linkText": "Export to plot.ly", - "plotlyServerURL": "https://plot.ly", - "showLink": false - }, - "data": [ - { - "line": { - "color": "green", - "width": 2 - }, - "name": "Scaled Dis-equilibrium", - "opacity": 0.8, - "type": "scatter", - "x": [ - "2025-06-05T13:30:00.000000000", - "2025-06-05T13:31:00.000000000", - "2025-06-05T13:32:00.000000000", - "2025-06-05T13:33:00.000000000", - "2025-06-05T13:34:00.000000000", - "2025-06-05T13:35:00.000000000", - "2025-06-05T13:36:00.000000000", - "2025-06-05T13:37:00.000000000", - "2025-06-05T13:38:00.000000000", - "2025-06-05T13:39:00.000000000", - "2025-06-05T13:40:00.000000000", - "2025-06-05T13:41:00.000000000", - "2025-06-05T13:42:00.000000000", - "2025-06-05T13:43:00.000000000", - "2025-06-05T13:44:00.000000000", - "2025-06-05T13:45:00.000000000", - "2025-06-05T13:46:00.000000000", - 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Interactive Plotly Visualization\n", - "import plotly.graph_objects as go\n", - "from plotly.subplots import make_subplots\n", - "import plotly.express as px\n", - "import plotly.offline as pyo\n", - "from IPython.display import HTML\n", - "\n", - "# Configure plotly for offline mode\n", - "pyo.init_notebook_mode(connected=True)\n", - "\n", - "# Strategy-specific interactive visualization\n", - "assert pt_bt_config is not None\n", - "assert pair.predicted_df_ is not None\n", - "\n", - "if FIT_METHOD_TYPE == \"SlidingFit\":\n", - " print(\"=== SLIDING FIT INTERACTIVE VISUALIZATION ===\")\n", - " print(\"Note: Sliding strategy visualization with interactive plotly charts\")\n", - " \n", - " # Create consistent timeline - superset of timestamps from both dataframes\n", - " market_timestamps = set(pair.market_data_['tstamp'])\n", - " predicted_timestamps = set(pair.predicted_df_['tstamp'])\n", - " \n", - " # Create superset of all timestamps\n", - " all_timestamps = sorted(market_timestamps.union(predicted_timestamps))\n", - " \n", - " # Create a unified timeline dataframe for consistent plotting\n", - " timeline_df = pd.DataFrame({'tstamp': all_timestamps})\n", - " \n", - " # Merge with predicted data to get dis-equilibrium values\n", - " timeline_df = timeline_df.merge(pair.predicted_df_[['tstamp', 'disequilibrium', 'scaled_disequilibrium']], \n", - " on='tstamp', how='left')\n", - " \n", - " # Get Symbol_A and Symbol_B market data\n", - " colname_a, colname_b = pair.colnames()\n", - " symbol_a_data = pair.market_data_[['tstamp', colname_a]].copy()\n", - " symbol_b_data = pair.market_data_[['tstamp', colname_b]].copy()\n", - " \n", - " print(f\"Using consistent timeline with {len(timeline_df)} timestamps\")\n", - " print(f\"Timeline range: {timeline_df['tstamp'].min()} to {timeline_df['tstamp'].max()}\")\n", - " \n", - " # Create subplots with price charts at bottom\n", - " fig = make_subplots(\n", - " rows=4, cols=1,\n", - " subplot_titles=[\n", - " 'Testing Period: Scaled Dis-equilibrium with Trading Thresholds',\n", - " 'Trading Signal Timeline',\n", - " f'{SYMBOL_A} Market Data with Trading Signals',\n", - " f'{SYMBOL_B} Market Data with Trading Signals'\n", - " ],\n", - " vertical_spacing=0.06,\n", - " specs=[[{\"secondary_y\": False}],\n", - " [{\"secondary_y\": False}],\n", - " [{\"secondary_y\": False}],\n", - " [{\"secondary_y\": False}]]\n", - " )\n", - " \n", - " # 1. Scaled dis-equilibrium with thresholds - using consistent timeline\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=timeline_df['tstamp'],\n", - " y=timeline_df['scaled_disequilibrium'],\n", - " name='Scaled Dis-equilibrium',\n", - " line=dict(color='green', width=2),\n", - " opacity=0.8\n", - " ),\n", - " row=1, col=1\n", - " )\n", - " \n", - " # Add threshold lines to first subplot\n", - " fig.add_shape(\n", - " type=\"line\",\n", - " x0=timeline_df['tstamp'].min(),\n", - " x1=timeline_df['tstamp'].max(),\n", - " y0=pt_bt_config['dis-equilibrium_open_trshld'],\n", - " y1=pt_bt_config['dis-equilibrium_open_trshld'],\n", - " line=dict(color=\"purple\", width=2, dash=\"dot\"),\n", - " opacity=0.7,\n", - " row=1, col=1\n", - " )\n", - " \n", - " fig.add_shape(\n", - " type=\"line\",\n", - " x0=timeline_df['tstamp'].min(),\n", - " x1=timeline_df['tstamp'].max(),\n", - " y0=-pt_bt_config['dis-equilibrium_open_trshld'],\n", - " y1=-pt_bt_config['dis-equilibrium_open_trshld'],\n", - " line=dict(color=\"purple\", width=2, dash=\"dot\"),\n", - " opacity=0.7,\n", - " row=1, col=1\n", - " )\n", - " \n", - " fig.add_shape(\n", - " type=\"line\",\n", - " x0=timeline_df['tstamp'].min(),\n", - " x1=timeline_df['tstamp'].max(),\n", - " y0=pt_bt_config['dis-equilibrium_close_trshld'],\n", - " y1=pt_bt_config['dis-equilibrium_close_trshld'],\n", - " line=dict(color=\"brown\", width=2, dash=\"dot\"),\n", - " opacity=0.7,\n", - " row=1, col=1\n", - " )\n", - " \n", - " fig.add_shape(\n", - " type=\"line\",\n", - " x0=timeline_df['tstamp'].min(),\n", - " x1=timeline_df['tstamp'].max(),\n", - " y0=-pt_bt_config['dis-equilibrium_close_trshld'],\n", - " y1=-pt_bt_config['dis-equilibrium_close_trshld'],\n", - " line=dict(color=\"brown\", width=2, dash=\"dot\"),\n", - " opacity=0.7,\n", - " row=1, col=1\n", - " )\n", - " \n", - " fig.add_shape(\n", - " type=\"line\",\n", - " x0=timeline_df['tstamp'].min(),\n", - " x1=timeline_df['tstamp'].max(),\n", - " y0=0,\n", - " y1=0,\n", - " line=dict(color=\"black\", width=1, dash=\"solid\"),\n", - " opacity=0.5,\n", - " row=1, col=1\n", - " )\n", - " \n", - " # 2. Trading signals timeline if available - using consistent timeline\n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " # Separate trades by action and status for different colors\n", - " buy_open_trades = pair_trades[(pair_trades['action'].str.contains('BUY', na=False)) & \n", - " (pair_trades['status'] == 'OPEN')]\n", - " buy_close_trades = pair_trades[(pair_trades['action'].str.contains('BUY', na=False)) & \n", - " (pair_trades['status'] == 'CLOSE')]\n", - " sell_open_trades = pair_trades[(pair_trades['action'].str.contains('SELL', na=False)) & \n", - " (pair_trades['status'] == 'OPEN')]\n", - " sell_close_trades = pair_trades[(pair_trades['action'].str.contains('SELL', na=False)) & \n", - " (pair_trades['status'] == 'CLOSE')]\n", - " \n", - " # Create y-values for timeline visualization\n", - " trade_indices = list(range(len(pair_trades)))\n", - " \n", - " # Add trading signals with different colors based on action and status\n", - " if len(buy_open_trades) > 0:\n", - " buy_open_indices = [i for i, (_, row) in enumerate(pair_trades.iterrows()) \n", - " if 'BUY' in row['action'] and row['status'] == 'OPEN']\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=buy_open_trades['time'],\n", - " y=buy_open_indices,\n", - " mode='markers',\n", - " name='BUY OPEN',\n", - " marker=dict(color='red', size=10, symbol='circle')\n", - " ),\n", - " row=2, col=1\n", - " )\n", - " \n", - " if len(buy_close_trades) > 0:\n", - " buy_close_indices = [i for i, (_, row) in enumerate(pair_trades.iterrows()) \n", - " if 'BUY' in row['action'] and row['status'] == 'CLOSE']\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=buy_close_trades['time'],\n", - " y=buy_close_indices,\n", - " mode='markers',\n", - " name='BUY CLOSE',\n", - " marker=dict(color='pink', size=10, symbol='circle')\n", - " ),\n", - " row=2, col=1\n", - " )\n", - " \n", - " if len(sell_open_trades) > 0:\n", - " sell_open_indices = [i for i, (_, row) in enumerate(pair_trades.iterrows()) \n", - " if 'SELL' in row['action'] and row['status'] == 'OPEN']\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=sell_open_trades['time'],\n", - " y=sell_open_indices,\n", - " mode='markers',\n", - " name='SELL OPEN',\n", - " marker=dict(color='blue', size=10, symbol='circle')\n", - " ),\n", - " row=2, col=1\n", - " )\n", - " \n", - " if len(sell_close_trades) > 0:\n", - " sell_close_indices = [i for i, (_, row) in enumerate(pair_trades.iterrows()) \n", - " if 'SELL' in row['action'] and row['status'] == 'CLOSE']\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=sell_close_trades['time'],\n", - " y=sell_close_indices,\n", - " mode='markers',\n", - " name='SELL CLOSE',\n", - " marker=dict(color='purple', size=10, symbol='circle')\n", - " ),\n", - " row=2, col=1\n", - " )\n", - " \n", - " # 3. Symbol_A Market Data with Trading Signals (moved to bottom)\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=symbol_a_data['tstamp'],\n", - " y=symbol_a_data[colname_a],\n", - " name=f'{SYMBOL_A} Price',\n", - " line=dict(color='blue', width=2),\n", - " opacity=0.8\n", - " ),\n", - " row=3, col=1\n", - " )\n", - " \n", - " # Add trading signals for Symbol_A if available\n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " # Filter trades for Symbol_A\n", - " symbol_a_trades = pair_trades[pair_trades['symbol'] == SYMBOL_A]\n", - " \n", - " if len(symbol_a_trades) > 0:\n", - " # Separate trades by action and status for different colors\n", - " buy_open_trades = symbol_a_trades[(symbol_a_trades['action'].str.contains('BUY', na=False)) & \n", - " (symbol_a_trades['status'] == 'OPEN')]\n", - " buy_close_trades = symbol_a_trades[(symbol_a_trades['action'].str.contains('BUY', na=False)) & \n", - " (symbol_a_trades['status'] == 'CLOSE')]\n", - " sell_open_trades = symbol_a_trades[(symbol_a_trades['action'].str.contains('SELL', na=False)) & \n", - " (symbol_a_trades['status'] == 'OPEN')]\n", - " sell_close_trades = symbol_a_trades[(symbol_a_trades['action'].str.contains('SELL', na=False)) & \n", - " (symbol_a_trades['status'] == 'CLOSE')]\n", - " \n", - " # Add BUY OPEN signals\n", - " if len(buy_open_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=buy_open_trades['time'],\n", - " y=buy_open_trades['price'],\n", - " mode='markers',\n", - " name=f'{SYMBOL_A} BUY OPEN',\n", - " marker=dict(color='red', size=12, symbol='triangle-up'),\n", - " showlegend=True\n", - " ),\n", - " row=3, col=1\n", - " )\n", - " \n", - " # Add BUY CLOSE signals\n", - " if len(buy_close_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=buy_close_trades['time'],\n", - " y=buy_close_trades['price'],\n", - " mode='markers',\n", - " name=f'{SYMBOL_A} BUY CLOSE',\n", - " marker=dict(color='pink', size=12, symbol='triangle-up'),\n", - " showlegend=True\n", - " ),\n", - " row=3, col=1\n", - " )\n", - " \n", - " # Add SELL OPEN signals\n", - " if len(sell_open_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=sell_open_trades['time'],\n", - " y=sell_open_trades['price'],\n", - " mode='markers',\n", - " name=f'{SYMBOL_A} SELL OPEN',\n", - " marker=dict(color='blue', size=12, symbol='triangle-down'),\n", - " showlegend=True\n", - " ),\n", - " row=3, col=1\n", - " )\n", - " \n", - " # Add SELL CLOSE signals\n", - " if len(sell_close_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=sell_close_trades['time'],\n", - " y=sell_close_trades['price'],\n", - " mode='markers',\n", - " name=f'{SYMBOL_A} SELL CLOSE',\n", - " marker=dict(color='purple', size=12, symbol='triangle-down'),\n", - " showlegend=True\n", - " ),\n", - " row=3, col=1\n", - " )\n", - " \n", - " # 4. Symbol_B Market Data with Trading Signals\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=symbol_b_data['tstamp'],\n", - " y=symbol_b_data[colname_b],\n", - " name=f'{SYMBOL_B} Price',\n", - " line=dict(color='orange', width=2),\n", - " opacity=0.8\n", - " ),\n", - " row=4, col=1\n", - " )\n", - " \n", - " # Add trading signals for Symbol_B if available\n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " # Filter trades for Symbol_B\n", - " symbol_b_trades = pair_trades[pair_trades['symbol'] == SYMBOL_B]\n", - " \n", - " if len(symbol_b_trades) > 0:\n", - " # Separate trades by action and status for different colors\n", - " buy_open_trades = symbol_b_trades[(symbol_b_trades['action'].str.contains('BUY', na=False)) & \n", - " (symbol_b_trades['status'] == 'OPEN')]\n", - " buy_close_trades = symbol_b_trades[(symbol_b_trades['action'].str.contains('BUY', na=False)) & \n", - " (symbol_b_trades['status'] == 'CLOSE')]\n", - " sell_open_trades = symbol_b_trades[(symbol_b_trades['action'].str.contains('SELL', na=False)) & \n", - " (symbol_b_trades['status'] == 'OPEN')]\n", - " sell_close_trades = symbol_b_trades[(symbol_b_trades['action'].str.contains('SELL', na=False)) & \n", - " (symbol_b_trades['status'] == 'CLOSE')]\n", - " \n", - " # Add BUY OPEN signals\n", - " if len(buy_open_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=buy_open_trades['time'],\n", - " y=buy_open_trades['price'],\n", - " mode='markers',\n", - " name=f'{SYMBOL_B} BUY OPEN',\n", - " marker=dict(color='red', size=12, symbol='triangle-up'),\n", - " showlegend=True\n", - " ),\n", - " row=4, col=1\n", - " )\n", - " \n", - " # Add BUY CLOSE signals\n", - " if len(buy_close_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=buy_close_trades['time'],\n", - " y=buy_close_trades['price'],\n", - " mode='markers',\n", - " name=f'{SYMBOL_B} BUY CLOSE',\n", - " marker=dict(color='red', size=12, symbol='triangle-up'),\n", - " showlegend=True\n", - " ),\n", - " row=4, col=1\n", - " )\n", - " \n", - " # Add SELL OPEN signals\n", - " if len(sell_open_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=sell_open_trades['time'],\n", - " y=sell_open_trades['price'],\n", - " mode='markers',\n", - " name=f'{SYMBOL_B} SELL OPEN',\n", - " marker=dict(color='blue', size=12, symbol='triangle-down'),\n", - " showlegend=True\n", - " ),\n", - " row=4, col=1\n", - " )\n", - " \n", - " # Add SELL CLOSE signals\n", - " if len(sell_close_trades) > 0:\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=sell_close_trades['time'],\n", - " y=sell_close_trades['price'],\n", - " mode='markers',\n", - " name=f'{SYMBOL_B} SELL CLOSE',\n", - " marker=dict(color='blue', size=12, symbol='triangle-down'),\n", - " showlegend=True\n", - " ),\n", - " row=4, col=1\n", - " )\n", - " \n", - " # Update layout\n", - " fig.update_layout(\n", - " height=1200,\n", - " title_text=f\"Sliding Fit Strategy Analysis - {SYMBOL_A} & {SYMBOL_B}\",\n", - " showlegend=True,\n", - " template=\"plotly_white\"\n", - " )\n", - " \n", - " # Update y-axis labels\n", - " fig.update_yaxes(title_text=\"Scaled Dis-equilibrium\", row=1, col=1)\n", - " fig.update_yaxes(title_text=\"Signal Index\", row=2, col=1)\n", - " fig.update_yaxes(title_text=f\"{SYMBOL_A} Price ($)\", row=3, col=1)\n", - " fig.update_yaxes(title_text=f\"{SYMBOL_B} Price ($)\", row=4, col=1)\n", - " \n", - " # Update x-axis labels and ensure consistent time range\n", - " time_range = [timeline_df['tstamp'].min(), timeline_df['tstamp'].max()]\n", - " fig.update_xaxes(range=time_range, row=1, col=1)\n", - " fig.update_xaxes(range=time_range, row=2, col=1)\n", - " fig.update_xaxes(range=time_range, row=3, col=1)\n", - " fig.update_xaxes(title_text=\"Time\", range=time_range, row=4, col=1)\n", - " \n", - " # Display using plotly offline mode\n", - " pyo.iplot(fig)\n", - "\n", - "else:\n", - " print(\"No interactive visualization data available - strategy may not have run successfully\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "vscode": { - "languageId": "raw" - } - }, - "source": [ - "## Summary and Analysis\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "================================================================================\n", - "PAIRS TRADING BACKTEST SUMMARY\n", - "================================================================================\n", - "\n", - "Pair: COIN & MSTR\n", - "Strategy: SlidingFit\n", - "Configuration: equity\n", - "Data file: 20250605.mktdata.ohlcv.db\n", - "Trading date: 20250605\n", - "\n", - "Strategy Parameters:\n", - " Training window: 120 minutes\n", - " Open threshold: 2\n", - " Close threshold: 1\n", - " Funding per pair: $2000\n", - "\n", - "Sliding Window Analysis:\n", - " Total data points: 391\n", - " Maximum iterations: 271\n", - " Analysis type: Dynamic sliding window\n", - "\n", - "Trading Signals: 20 generated\n", - " Unique trade times: 10\n", - " BUY signals: 10\n", - " SELL signals: 10\n", - "\n", - "First few trading signals:\n", - " 1. SELL COIN @ $260.46 at 2025-06-05 15:40:00\n", - " 2. BUY MSTR @ $380.53 at 2025-06-05 15:40:00\n", - " 3. BUY COIN @ $259.39 at 2025-06-05 16:02:00\n", - " 4. SELL MSTR @ $379.90 at 2025-06-05 16:02:00\n", - " 5. SELL COIN @ $259.62 at 2025-06-05 16:31:00\n", - " ... and 15 more signals\n", - "\n", - "================================================================================\n" - ] - } - ], - "source": [ - "print(\"=\" * 80)\n", - "print(\"PAIRS TRADING BACKTEST SUMMARY\")\n", - "print(\"=\" * 80)\n", - "\n", - "print(f\"\\nPair: {SYMBOL_A} & {SYMBOL_B}\")\n", - "print(f\"Strategy: {FIT_METHOD_TYPE}\")\n", - "print(f\"Configuration: {CONFIG_FILE}\")\n", - "print(f\"Data file: {DATA_FILE}\")\n", - "print(f\"Trading date: {TRADING_DATE}\")\n", - "\n", - "print(f\"\\nStrategy Parameters:\")\n", - "print(f\" Training window: {pt_bt_config['training_minutes']} minutes\")\n", - "print(f\" Open threshold: {pt_bt_config['dis-equilibrium_open_trshld']}\")\n", - "print(f\" Close threshold: {pt_bt_config['dis-equilibrium_close_trshld']}\")\n", - "print(f\" Funding per pair: ${pt_bt_config['funding_per_pair']}\")\n", - "\n", - "# Strategy-specific summary\n", - "if FIT_METHOD_TYPE == \"StaticFit\":\n", - " if 'is_cointegrated' in locals() and is_cointegrated:\n", - " assert pair.predicted_df_ is not None, \"predicted_df_ is None\"\n", - " print(f\"\\nCointegration Analysis:\")\n", - " print(f\" ✓ Pair is cointegrated\")\n", - " print(f\" VECM Beta coefficients: {pair.vecm_fit_.beta.flatten()}\")\n", - " print(f\" Training mean: {pair.training_mu_:.6f}\")\n", - " print(f\" Training std: {pair.training_std_:.6f}\")\n", - " \n", - " if hasattr(pair, 'predicted_df_'):\n", - " print(f\" Testing predictions: {len(pair.predicted_df_)} data points\")\n", - " else:\n", - " print(f\"\\n✗ Pair is not cointegrated\")\n", - "\n", - "elif FIT_METHOD_TYPE == \"SlidingFit\":\n", - " print(f\"\\nSliding Window Analysis:\")\n", - " training_minutes = pt_bt_config['training_minutes']\n", - " max_iterations = len(pair.market_data_) - training_minutes\n", - " print(f\" Total data points: {len(pair.market_data_)}\")\n", - " print(f\" Maximum iterations: {max_iterations}\")\n", - " print(f\" Analysis type: Dynamic sliding window\")\n", - "\n", - "# Trading signals summary\n", - "if pair_trades is not None and len(pair_trades) > 0:\n", - " print(f\"\\nTrading Signals: {len(pair_trades)} generated\")\n", - " unique_times = pair_trades['time'].unique()\n", - " print(f\" Unique trade times: {len(unique_times)}\")\n", - " \n", - " # Group by action type\n", - " buy_signals = pair_trades[pair_trades['action'].str.contains('BUY', na=False)]\n", - " sell_signals = pair_trades[pair_trades['action'].str.contains('SELL', na=False)]\n", - " \n", - " print(f\" BUY signals: {len(buy_signals)}\")\n", - " print(f\" SELL signals: {len(sell_signals)}\")\n", - " \n", - " # Show first few trades\n", - " print(f\"\\nFirst few trading signals:\")\n", - " for i, (idx, trade) in enumerate(pair_trades.head(5).iterrows()):\n", - " print(f\" {i+1}. {trade['action']} {trade['symbol']} @ ${trade['price']:.2f} at {trade['time']}\")\n", - " \n", - " if len(pair_trades) > 5:\n", - " print(f\" ... and {len(pair_trades)-5} more signals\")\n", - " \n", - "else:\n", - " print(f\"\\nTrading Signals: None generated\")\n", - " print(\" Possible reasons:\")\n", - " print(\" - Dis-equilibrium never exceeded open threshold\")\n", - " print(\" - Pair not cointegrated (for StaticFit)\")\n", - " print(\" - Insufficient data or market conditions\")\n", - "\n", - "print(f\"\\n\" + \"=\" * 80)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "vscode": { - "languageId": "raw" - } - }, - "source": [ - "# Conclusions and Next Steps" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "This notebook demonstrates a comprehensive pairs trading backtest framework that supports both StaticFit and SlidingFit. \n", - "\n", - "### Key Insights:\n", - "\n", - "#### StaticFit:\n", - "- **Pros**: Simpler computation, consistent parameters throughout trading period\n", - "- **Cons**: May not adapt to changing market conditions\n", - "- **Best for**: Stable market conditions, strong cointegration relationships\n", - "\n", - "#### SlidingFit:\n", - "- **Pros**: Adaptive to market changes, dynamic parameter updates\n", - "- **Cons**: More computationally intensive, potentially noisy signals\n", - "- **Best for**: Volatile markets, evolving relationships between instruments\n", - "\n", - "### Framework Features:\n", - "\n", - "1. **Configuration-Driven**: Easy switching between strategies and parameters\n", - "2. **Comprehensive Analysis**: From data loading to signal generation\n", - "3. **Rich Visualization**: Strategy-specific charts and analysis\n", - "4. **Interactive Experimentation**: Easy parameter modification and testing\n", - "\n", - "### Recommendations:\n", - "\n", - "1. **Start with StaticFit** for initial pair analysis\n", - "2. **Use SlidingFit** for more sophisticated, adaptive trading\n", - "3. **Experiment with thresholds** based on observed dis-equilibrium statistics\n", - "4. **Test multiple symbol pairs** to find strong cointegration relationships\n", - "5. **Validate results** on different time periods and market conditions\n", - "\n", - "### Next Steps:\n", - "\n", - "- Implement transaction costs and slippage modeling\n", - "- Add risk management features (position sizing, stop-losses)\n", - "- Develop portfolio-level analysis across multiple pairs\n", - "- Create automated parameter optimization routines\n", - "- Implement real-time trading signal generation\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "python3.12-venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.9" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/research/notebooks/__DEPRECATED__/pt_static.ipynb b/research/notebooks/__DEPRECATED__/pt_static.ipynb deleted file mode 100644 index 4c202b4..0000000 --- a/research/notebooks/__DEPRECATED__/pt_static.ipynb +++ /dev/null @@ -1,771 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Pairs Trading Visualization Notebook\n", - "\n", - "This notebook allows you to visualize pairs trading strategies on individual instrument pairs.\n", - "You can examine the relationship between two instruments, their dis-equilibrium, and trading signals." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 🎯 Key Features:\n", - "\n", - "1. **Interactive Configuration**: \n", - " - Easy switching between CRYPTO and EQUITY configurations\n", - " - Simple parameter adjustment for thresholds and training periods\n", - "\n", - "2. **Single Pair Focus**: \n", - " - Instead of running multiple pairs, focuses on one pair at a time\n", - " - Allows deep analysis of the relationship between two instruments\n", - "\n", - "3. **Step-by-Step Visualization**:\n", - " - **Raw price data**: Individual prices, normalized comparison, and price ratios\n", - " - **Training analysis**: Cointegration testing and VECM model fitting\n", - " - **Dis-equilibrium visualization**: Both raw and scaled dis-equilibrium with threshold lines\n", - " - **Strategy execution**: Trading signal generation and visualization\n", - " - **Prediction analysis**: Actual vs predicted prices with trading signals overlaid\n", - "\n", - "4. **Rich Analytics**:\n", - " - Cointegration status and VECM model details\n", - " - Statistical summaries for all stages\n", - " - Threshold crossing analysis\n", - " - Trading signal breakdown\n", - "\n", - "5. **Interactive Experimentation**:\n", - " - Easy parameter modification\n", - " - Re-run capabilities for different configurations\n", - " - Support for both StaticFitStrategy and SlidingFitStrategy\n", - "\n", - "### 🚀 How to Use:\n", - "\n", - "1. **Start Jupyter**:\n", - " ```bash\n", - " cd src/notebooks\n", - " jupyter notebook pairs_trading_visualization.ipynb\n", - " ```\n", - "\n", - "2. **Customize Your Analysis**:\n", - " - Change `SYMBOL_A` and `SYMBOL_B` to your desired trading pair\n", - " - Switch between `CRYPTO_CONFIG` and `EQT_CONFIG`\n", - " - Only **StaticFitStrategy** is supported. \n", - " - Adjust thresholds and parameters as needed\n", - "\n", - "3. **Run and Visualize**:\n", - " - Execute cells step by step to see the analysis unfold\n", - " - Rich matplotlib visualizations show relationships and signals\n", - " - Comprehensive summary at the end\n", - "\n", - "The notebook provides exactly what you requested - a way to visualize the relationship between two instruments and their scaled dis-equilibrium, with all the stages of your pairs trading strategy clearly displayed and analyzed.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup and Imports" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Setup complete!\n" - ] - } - ], - "source": [ - "import sys\n", - "import os\n", - "sys.path.append('..')\n", - "\n", - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "from typing import Dict, List, Optional\n", - "\n", - "# Import our modules\n", - "from pt_trading.fit_methods import StaticFit, SlidingFit\n", - "from tools.data_loader import load_market_data\n", - "from pt_trading.trading_pair import TradingPair\n", - "from pt_trading.results import BacktestResult\n", - "\n", - "# Set plotting style\n", - "plt.style.use('seaborn-v0_8')\n", - "sns.set_palette(\"husl\")\n", - "plt.rcParams['figure.figsize'] = (12, 8)\n", - "\n", - "print(\"Setup complete!\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Configuration" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using EQUITY configuration\n", - "Available instruments: ['COIN', 'GBTC', 'HOOD', 'MSTR', 'PYPL']\n" - ] - } - ], - "source": [ - "# Configuration - Choose between CRYPTO_CONFIG or EQT_CONFIG\n", - "\n", - "CRYPTO_CONFIG = {\n", - " \"security_type\": \"CRYPTO\",\n", - " \"data_directory\": \"../../data/crypto\",\n", - " \"datafiles\": [\n", - " \"20250519.mktdata.ohlcv.db\",\n", - " ],\n", - " \"db_table_name\": \"bnbspot_ohlcv_1min\",\n", - " \"exchange_id\": \"BNBSPOT\",\n", - " \"instrument_id_pfx\": \"PAIR-\",\n", - " \"instruments\": [\n", - " \"BTC-USDT\",\n", - " \"BCH-USDT\",\n", - " \"ETH-USDT\",\n", - " \"LTC-USDT\",\n", - " \"XRP-USDT\",\n", - " \"ADA-USDT\",\n", - " \"SOL-USDT\",\n", - " \"DOT-USDT\",\n", - " ],\n", - " \"trading_hours\": {\n", - " \"begin_session\": \"00:00:00\",\n", - " \"end_session\": \"23:59:00\",\n", - " \"timezone\": \"UTC\",\n", - " },\n", - " \"price_column\": \"close\",\n", - " \"min_required_points\": 30,\n", - " \"zero_threshold\": 1e-10,\n", - " \"dis-equilibrium_open_trshld\": 2.0,\n", - " \"dis-equilibrium_close_trshld\": 0.5,\n", - " \"training_minutes\": 120,\n", - " \"funding_per_pair\": 2000.0,\n", - "}\n", - "\n", - "EQT_CONFIG = {\n", - " \"security_type\": \"EQUITY\",\n", - " \"data_directory\": \"../../data/equity\",\n", - " \"datafiles\": {\n", - " \"0508\": \"20250508.alpaca_sim_md.db\",\n", - " \"0509\": \"20250509.alpaca_sim_md.db\",\n", - " \"0510\": \"20250510.alpaca_sim_md.db\",\n", - " \"0511\": \"20250511.alpaca_sim_md.db\",\n", - " \"0512\": \"20250512.alpaca_sim_md.db\",\n", - " \"0513\": \"20250513.alpaca_sim_md.db\",\n", - " \"0514\": \"20250514.alpaca_sim_md.db\",\n", - " \"0515\": \"20250515.alpaca_sim_md.db\",\n", - " \"0516\": \"20250516.alpaca_sim_md.db\",\n", - " \"0517\": \"20250517.alpaca_sim_md.db\",\n", - " \"0518\": \"20250518.alpaca_sim_md.db\",\n", - " \"0519\": \"20250519.alpaca_sim_md.db\",\n", - " \"0520\": \"20250520.alpaca_sim_md.db\",\n", - " \"0521\": \"20250521.alpaca_sim_md.db\",\n", - " \"0522\": \"20250522.alpaca_sim_md.db\",\n", - " },\n", - " \"db_table_name\": \"md_1min_bars\",\n", - " \"exchange_id\": \"ALPACA\",\n", - " \"instrument_id_pfx\": \"STOCK-\",\n", - " \"instruments\": [\n", - " \"COIN\",\n", - " \"GBTC\",\n", - " \"HOOD\",\n", - " \"MSTR\",\n", - " \"PYPL\",\n", - " ],\n", - " \"trading_hours\": {\n", - " \"begin_session\": \"9:30:00\",\n", - " \"end_session\": \"16:00:00\",\n", - " \"timezone\": \"America/New_York\",\n", - " },\n", - " \"price_column\": \"close\",\n", - " \"min_required_points\": 30,\n", - " \"zero_threshold\": 1e-10,\n", - " \"dis-equilibrium_open_trshld\": 2.0,\n", - " \"dis-equilibrium_close_trshld\": 1.0, #0.5,\n", - " \"training_minutes\": 120,\n", - " \"funding_per_pair\": 2000.0,\n", - "}\n", - "\n", - "# Choose your configuration\n", - "CONFIG = EQT_CONFIG # Change to CRYPTO_CONFIG if you want to use crypto data\n", - "\n", - "print(f\"Using {CONFIG['security_type']} configuration\")\n", - "print(f\"Available instruments: {CONFIG['instruments']}\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Select Trading Pair and Data File" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Selected pair: COIN & GBTC\n", - "Data file: 20250509.alpaca_sim_md.db\n", - "Strategy: StaticFitStrategy\n" - ] - } - ], - "source": [ - "# Select your trading pair and strategy\n", - "SYMBOL_A = \"COIN\" # Change these to your desired symbols\n", - "SYMBOL_B = \"GBTC\"\n", - "DATA_FILE = CONFIG[\"datafiles\"][\"0509\"]\n", - "\n", - "# Choose strategy\n", - "FIT_METHOD = StaticFit()\n", - "\n", - "print(f\"Selected pair: {SYMBOL_A} & {SYMBOL_B}\")\n", - "print(f\"Data file: {DATA_FILE}\")\n", - "print(f\"Strategy: {type(FIT_METHOD).__name__}\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load Market Data" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Current working directory: /home/oleg/devel/pairs_trading/src/notebooks\n", - "Loading data from: ../../data/equity/20250509.alpaca_sim_md.db\n", - "Error: Execution failed on sql 'select tstamp, tstamp_ns as time_ns, substr(instrument_id, 7) as symbol, open, high, low, close, volume, num_trades, vwap from md_1min_bars where exchange_id ='ALPACA' and instrument_id in (\"STOCK-COIN\",\"STOCK-GBTC\",\"STOCK-HOOD\",\"STOCK-MSTR\",\"STOCK-PYPL\")': no such table: md_1min_bars\n" - ] - }, - { - "ename": "Exception", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mOperationalError\u001b[39m Traceback (most recent call last)", - "\u001b[36mFile \u001b[39m\u001b[32m~/.pyenv/python3.12-venv/lib/python3.12/site-packages/pandas/io/sql.py:2664\u001b[39m, in \u001b[36mSQLiteDatabase.execute\u001b[39m\u001b[34m(self, sql, params)\u001b[39m\n\u001b[32m 2663\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2664\u001b[39m \u001b[43mcur\u001b[49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43msql\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2665\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m cur\n", - "\u001b[31mOperationalError\u001b[39m: no such table: md_1min_bars", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[31mDatabaseError\u001b[39m Traceback (most recent call last)", - "\u001b[36mFile \u001b[39m\u001b[32m~/devel/pairs_trading/src/notebooks/../tools/data_loader.py:11\u001b[39m, in \u001b[36mload_sqlite_to_dataframe\u001b[39m\u001b[34m(db_path, query)\u001b[39m\n\u001b[32m 9\u001b[39m conn = sqlite3.connect(db_path)\n\u001b[32m---> \u001b[39m\u001b[32m11\u001b[39m df = \u001b[43mpd\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread_sql_query\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 12\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m df\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.pyenv/python3.12-venv/lib/python3.12/site-packages/pandas/io/sql.py:528\u001b[39m, in \u001b[36mread_sql_query\u001b[39m\u001b[34m(sql, con, index_col, coerce_float, params, parse_dates, chunksize, dtype, dtype_backend)\u001b[39m\n\u001b[32m 527\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m pandasSQL_builder(con) \u001b[38;5;28;01mas\u001b[39;00m pandas_sql:\n\u001b[32m--> \u001b[39m\u001b[32m528\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mpandas_sql\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread_query\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 529\u001b[39m \u001b[43m \u001b[49m\u001b[43msql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 530\u001b[39m \u001b[43m \u001b[49m\u001b[43mindex_col\u001b[49m\u001b[43m=\u001b[49m\u001b[43mindex_col\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 531\u001b[39m \u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 532\u001b[39m \u001b[43m \u001b[49m\u001b[43mcoerce_float\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcoerce_float\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 533\u001b[39m \u001b[43m \u001b[49m\u001b[43mparse_dates\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparse_dates\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 534\u001b[39m \u001b[43m \u001b[49m\u001b[43mchunksize\u001b[49m\u001b[43m=\u001b[49m\u001b[43mchunksize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 535\u001b[39m \u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 536\u001b[39m \u001b[43m \u001b[49m\u001b[43mdtype_backend\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdtype_backend\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 537\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.pyenv/python3.12-venv/lib/python3.12/site-packages/pandas/io/sql.py:2728\u001b[39m, in \u001b[36mSQLiteDatabase.read_query\u001b[39m\u001b[34m(self, sql, index_col, coerce_float, parse_dates, params, chunksize, dtype, dtype_backend)\u001b[39m\n\u001b[32m 2717\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mread_query\u001b[39m(\n\u001b[32m 2718\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 2719\u001b[39m sql,\n\u001b[32m (...)\u001b[39m\u001b[32m 2726\u001b[39m dtype_backend: DtypeBackend | Literal[\u001b[33m\"\u001b[39m\u001b[33mnumpy\u001b[39m\u001b[33m\"\u001b[39m] = \u001b[33m\"\u001b[39m\u001b[33mnumpy\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 2727\u001b[39m ) -> DataFrame | Iterator[DataFrame]:\n\u001b[32m-> \u001b[39m\u001b[32m2728\u001b[39m cursor = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43msql\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2729\u001b[39m columns = [col_desc[\u001b[32m0\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m col_desc \u001b[38;5;129;01min\u001b[39;00m cursor.description]\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.pyenv/python3.12-venv/lib/python3.12/site-packages/pandas/io/sql.py:2676\u001b[39m, in \u001b[36mSQLiteDatabase.execute\u001b[39m\u001b[34m(self, sql, params)\u001b[39m\n\u001b[32m 2675\u001b[39m ex = DatabaseError(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mExecution failed on sql \u001b[39m\u001b[33m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00msql\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m'\u001b[39m\u001b[33m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mexc\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m2676\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ex \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mexc\u001b[39;00m\n", - "\u001b[31mDatabaseError\u001b[39m: Execution failed on sql 'select tstamp, tstamp_ns as time_ns, substr(instrument_id, 7) as symbol, open, high, low, close, volume, num_trades, vwap from md_1min_bars where exchange_id ='ALPACA' and instrument_id in (\"STOCK-COIN\",\"STOCK-GBTC\",\"STOCK-HOOD\",\"STOCK-MSTR\",\"STOCK-PYPL\")': no such table: md_1min_bars", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[31mException\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[5]\u001b[39m\u001b[32m, line 6\u001b[39m\n\u001b[32m 3\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mCurrent working directory: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mos.getcwd()\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m 4\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mLoading data from: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdatafile_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m market_data_df = \u001b[43mload_market_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdatafile_path\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m=\u001b[49m\u001b[43mCONFIG\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 8\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mLoaded \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(market_data_df)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m rows of market data\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 9\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mSymbols in data: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmarket_data_df[\u001b[33m'\u001b[39m\u001b[33msymbol\u001b[39m\u001b[33m'\u001b[39m].unique()\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/devel/pairs_trading/src/notebooks/../tools/data_loader.py:69\u001b[39m, in \u001b[36mload_market_data\u001b[39m\u001b[34m(datafile, config)\u001b[39m\n\u001b[32m 66\u001b[39m query += \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m where exchange_id =\u001b[39m\u001b[33m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mexchange_id\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m'\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 67\u001b[39m query += \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m and instrument_id in (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[33m'\u001b[39m\u001b[33m,\u001b[39m\u001b[33m'\u001b[39m.join(instrument_ids)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m)\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m---> \u001b[39m\u001b[32m69\u001b[39m df = \u001b[43mload_sqlite_to_dataframe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdb_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdatafile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mquery\u001b[49m\u001b[43m=\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 71\u001b[39m \u001b[38;5;66;03m# Trading Hours\u001b[39;00m\n\u001b[32m 72\u001b[39m date_str = df[\u001b[33m\"\u001b[39m\u001b[33mtstamp\u001b[39m\u001b[33m\"\u001b[39m][\u001b[32m0\u001b[39m][\u001b[32m0\u001b[39m:\u001b[32m10\u001b[39m]\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/devel/pairs_trading/src/notebooks/../tools/data_loader.py:18\u001b[39m, in \u001b[36mload_sqlite_to_dataframe\u001b[39m\u001b[34m(db_path, query)\u001b[39m\n\u001b[32m 16\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m excpt:\n\u001b[32m 17\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mError: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mexcpt\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m18\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m() \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mexcpt\u001b[39;00m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[32m 20\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[33m\"\u001b[39m\u001b[33mconn\u001b[39m\u001b[33m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mlocals\u001b[39m():\n", - "\u001b[31mException\u001b[39m: " - ] - } - ], - "source": [ - "# Load market data\n", - "datafile_path = f\"{CONFIG['data_directory']}/{DATA_FILE}\"\n", - "print(f\"Current working directory: {os.getcwd()}\")\n", - "print(f\"Loading data from: {datafile_path}\")\n", - "\n", - "market_data_df = load_market_data(datafile_path, config=CONFIG)\n", - "\n", - "print(f\"Loaded {len(market_data_df)} rows of market data\")\n", - "print(f\"Symbols in data: {market_data_df['symbol'].unique()}\")\n", - "print(f\"Time range: {market_data_df['tstamp'].min()} to {market_data_df['tstamp'].max()}\")\n", - "\n", - "# Display first few rows\n", - "market_data_df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Create Trading Pair and Analyze" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Create trading pair\n", - "pair = TradingPair(\n", - " market_data=market_data_df,\n", - " symbol_a=SYMBOL_A,\n", - " symbol_b=SYMBOL_B,\n", - " price_column=CONFIG[\"price_column\"]\n", - ")\n", - "\n", - "print(f\"Created trading pair: {pair}\")\n", - "print(f\"Market data shape: {pair.market_data_.shape}\")\n", - "print(f\"Column names: {pair.colnames()}\")\n", - "\n", - "# Display first few rows of pair data\n", - "pair.market_data_.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Split Data into Training and Testing" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Get training and testing datasets\n", - "training_minutes = CONFIG[\"training_minutes\"]\n", - "pair.get_datasets(training_minutes=training_minutes)\n", - "\n", - "print(f\"Training data: {len(pair.training_df_)} rows\")\n", - "print(f\"Testing data: {len(pair.testing_df_)} rows\")\n", - "print(f\"Training period: {pair.training_df_['tstamp'].iloc[0]} to {pair.training_df_['tstamp'].iloc[-1]}\")\n", - "print(f\"Testing period: {pair.testing_df_['tstamp'].iloc[0]} to {pair.testing_df_['tstamp'].iloc[-1]}\")\n", - "\n", - "# Check for any missing data\n", - "print(f\"Training data null values: {pair.training_df_.isnull().sum().sum()}\")\n", - "print(f\"Testing data null values: {pair.testing_df_.isnull().sum().sum()}\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualize Raw Price Data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Plot raw price data\n", - "fig, axes = plt.subplots(3, 1, figsize=(15, 12))\n", - "\n", - "# Combined price plot\n", - "colname_a, colname_b = pair.colnames()\n", - "all_data = pd.concat([pair.training_df_, pair.testing_df_]).reset_index(drop=True)\n", - "\n", - "# Plot individual prices\n", - "axes[0].plot(all_data['tstamp'], all_data[colname_a], label=f'{SYMBOL_A}', alpha=0.8)\n", - "axes[0].plot(all_data['tstamp'], all_data[colname_b], label=f'{SYMBOL_B}', alpha=0.8)\n", - "axes[0].axvline(x=pair.training_df_['tstamp'].iloc[-1], color='red', linestyle='--', alpha=0.7, label='Train/Test Split')\n", - "axes[0].set_title(f'Price Comparison: {SYMBOL_A} vs {SYMBOL_B}')\n", - "axes[0].set_ylabel('Price')\n", - "axes[0].legend()\n", - "axes[0].grid(True)\n", - "\n", - "# Normalized prices for comparison\n", - "norm_a = all_data[colname_a] / all_data[colname_a].iloc[0]\n", - "norm_b = all_data[colname_b] / all_data[colname_b].iloc[0]\n", - "\n", - "axes[1].plot(all_data['tstamp'], norm_a, label=f'{SYMBOL_A} (normalized)', alpha=0.8)\n", - "axes[1].plot(all_data['tstamp'], norm_b, label=f'{SYMBOL_B} (normalized)', alpha=0.8)\n", - "axes[1].axvline(x=pair.training_df_['tstamp'].iloc[-1], color='red', linestyle='--', alpha=0.7, label='Train/Test Split')\n", - "axes[1].set_title('Normalized Price Comparison')\n", - "axes[1].set_ylabel('Normalized Price')\n", - "axes[1].legend()\n", - "axes[1].grid(True)\n", - "\n", - "# Price ratio\n", - "price_ratio = all_data[colname_a] / all_data[colname_b]\n", - "axes[2].plot(all_data['tstamp'], price_ratio, label=f'{SYMBOL_A}/{SYMBOL_B} Ratio', color='green', alpha=0.8)\n", - "axes[2].axvline(x=pair.training_df_['tstamp'].iloc[-1], color='red', linestyle='--', alpha=0.7, label='Train/Test Split')\n", - "axes[2].set_title('Price Ratio')\n", - "axes[2].set_ylabel('Ratio')\n", - "axes[2].set_xlabel('Time')\n", - "axes[2].legend()\n", - "axes[2].grid(True)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Train the Pair and Check Cointegration" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Train the pair and check cointegration\n", - "try:\n", - " is_cointegrated = pair.train_pair()\n", - " print(f\"Pair {pair} cointegration status: {is_cointegrated}\")\n", - "\n", - " if is_cointegrated:\n", - " print(f\"VECM Beta coefficients: {pair.vecm_fit_.beta.flatten()}\")\n", - " print(f\"Training dis-equilibrium mean: {pair.training_mu_:.6f}\")\n", - " print(f\"Training dis-equilibrium std: {pair.training_std_:.6f}\")\n", - "\n", - " # Display VECM summary\n", - " print(\"\\nVECM Model Summary:\")\n", - " print(pair.vecm_fit_.summary())\n", - " else:\n", - " print(\"Pair is not cointegrated. Cannot proceed with strategy.\")\n", - "\n", - "except Exception as e:\n", - " print(f\"Training failed: {str(e)}\")\n", - " is_cointegrated = False" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualize Training Period Dis-equilibrium" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "if is_cointegrated:\n", - " # fig, axes = plt.subplots(, 1, figsize=(15, 10))\n", - "\n", - " # # Raw dis-equilibrium\n", - " # axes[0].plot(pair.training_df_['tstamp'], pair.training_df_['dis-equilibrium'],\n", - " # color='blue', alpha=0.8, label='Raw Dis-equilibrium')\n", - " # axes[0].axhline(y=pair.training_mu_, color='red', linestyle='--', alpha=0.7, label='Mean')\n", - " # axes[0].axhline(y=pair.training_mu_ + pair.training_std_, color='orange', linestyle='--', alpha=0.5, label='+1 Std')\n", - " # axes[0].axhline(y=pair.training_mu_ - pair.training_std_, color='orange', linestyle='--', alpha=0.5, label='-1 Std')\n", - " # axes[0].set_title('Training Period: Raw Dis-equilibrium')\n", - " # axes[0].set_ylabel('Dis-equilibrium')\n", - " # axes[0].legend()\n", - " # axes[0].grid(True)\n", - "\n", - " # Scaled dis-equilibrium\n", - " fig, axes = plt.subplots(1, 1, figsize=(15, 5))\n", - " axes.plot(pair.training_df_['tstamp'], pair.training_df_['scaled_dis-equilibrium'],\n", - " color='green', alpha=0.8, label='Scaled Dis-equilibrium')\n", - " axes.axhline(y=0, color='red', linestyle='--', alpha=0.7, label='Mean (0)')\n", - " axes.axhline(y=1, color='orange', linestyle='--', alpha=0.5, label='+1 Std')\n", - " axes.axhline(y=-1, color='orange', linestyle='--', alpha=0.5, label='-1 Std')\n", - " axes.axhline(y=CONFIG['dis-equilibrium_open_trshld'], color='purple',\n", - " linestyle=':', alpha=0.7, label=f\"Open Threshold ({CONFIG['dis-equilibrium_open_trshld']})\")\n", - " axes.axhline(y=CONFIG['dis-equilibrium_close_trshld'], color='brown',\n", - " linestyle=':', alpha=0.7, label=f\"Close Threshold ({CONFIG['dis-equilibrium_close_trshld']})\")\n", - " axes.set_title('Training Period: Scaled Dis-equilibrium')\n", - " axes.set_ylabel('Scaled Dis-equilibrium')\n", - " axes.set_xlabel('Time')\n", - " axes.legend()\n", - " axes.grid(True)\n", - "\n", - " plt.tight_layout()\n", - " plt.show()\n", - "\n", - " # Print statistics\n", - " print(f\"Training dis-equilibrium statistics:\")\n", - " print(f\" Mean: {pair.training_df_['dis-equilibrium'].mean():.6f}\")\n", - " print(f\" Std: {pair.training_df_['dis-equilibrium'].std():.6f}\")\n", - " print(f\" Min: {pair.training_df_['dis-equilibrium'].min():.6f}\")\n", - " print(f\" Max: {pair.training_df_['dis-equilibrium'].max():.6f}\")\n", - "\n", - " print(f\"\\nScaled dis-equilibrium statistics:\")\n", - " print(f\" Mean: {pair.training_df_['scaled_dis-equilibrium'].mean():.6f}\")\n", - " print(f\" Std: {pair.training_df_['scaled_dis-equilibrium'].std():.6f}\")\n", - " print(f\" Min: {pair.training_df_['scaled_dis-equilibrium'].min():.6f}\")\n", - " print(f\" Max: {pair.training_df_['scaled_dis-equilibrium'].max():.6f}\")\n", - "else:\n", - " print(\"The pair is not cointegrated\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Generate Predictions and Run Strategy" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "if is_cointegrated:\n", - " try:\n", - " # Generate predictions\n", - " pair.predict()\n", - " print(f\"Generated predictions for {len(pair.predicted_df_)} rows\")\n", - "\n", - " # Display prediction data structure\n", - " print(f\"Prediction columns: {list(pair.predicted_df_.columns)}\")\n", - " print(f\"Prediction period: {pair.predicted_df_['tstamp'].iloc[0]} to {pair.predicted_df_['tstamp'].iloc[-1]}\")\n", - "\n", - " # Run strategy\n", - " bt_result = BacktestResult(config=CONFIG)\n", - " pair_trades = FIT_METHOD.run_pair(config=CONFIG, pair=pair, bt_result=bt_result)\n", - "\n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " print(f\"\\nGenerated {len(pair_trades)} trading signals:\")\n", - " print(pair_trades)\n", - " else:\n", - " print(\"\\nNo trading signals generated\")\n", - "\n", - " except Exception as e:\n", - " print(f\"Prediction/Strategy failed: {str(e)}\")\n", - " pair_trades = None" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualize Predictions and Dis-equilibrium" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "if is_cointegrated and hasattr(pair, 'predicted_df_'):\n", - " fig, axes = plt.subplots(4, 1, figsize=(16, 16))\n", - "\n", - " # Actual vs Predicted Prices\n", - " colname_a, colname_b = pair.colnames()\n", - "\n", - " axes[0].plot(pair.predicted_df_['tstamp'], pair.predicted_df_[colname_a],\n", - " label=f'{SYMBOL_A} Actual', alpha=0.8)\n", - " axes[0].plot(pair.predicted_df_['tstamp'], pair.predicted_df_[f'{colname_a}_pred'],\n", - " label=f'{SYMBOL_A} Predicted', alpha=0.8, linestyle='--')\n", - " axes[0].set_title('Actual vs Predicted Prices - Symbol A')\n", - " axes[0].set_ylabel('Price')\n", - " axes[0].legend()\n", - " axes[0].grid(True)\n", - "\n", - " axes[1].plot(pair.predicted_df_['tstamp'], pair.predicted_df_[colname_b],\n", - " label=f'{SYMBOL_B} Actual', alpha=0.8)\n", - " axes[1].plot(pair.predicted_df_['tstamp'], pair.predicted_df_[f'{colname_b}_pred'],\n", - " label=f'{SYMBOL_B} Predicted', alpha=0.8, linestyle='--')\n", - " axes[1].set_title('Actual vs Predicted Prices - Symbol B')\n", - " axes[1].set_ylabel('Price')\n", - " axes[1].legend()\n", - " axes[1].grid(True)\n", - "\n", - " # Raw dis-equilibrium\n", - " axes[2].plot(pair.predicted_df_['tstamp'], pair.predicted_df_['disequilibrium'],\n", - " color='blue', alpha=0.8, label='Dis-equilibrium')\n", - " axes[2].axhline(y=pair.training_mu_, color='red', linestyle='--', alpha=0.7, label='Training Mean')\n", - " axes[2].set_title('Testing Period: Raw Dis-equilibrium')\n", - " axes[2].set_ylabel('Dis-equilibrium')\n", - " axes[2].legend()\n", - " axes[2].grid(True)\n", - "\n", - " # Scaled dis-equilibrium with trading signals\n", - " axes[3].plot(pair.predicted_df_['tstamp'], pair.predicted_df_['scaled_disequilibrium'],\n", - " color='green', alpha=0.8, label='Scaled Dis-equilibrium')\n", - "\n", - " # Add threshold lines\n", - " axes[3].axhline(y=CONFIG['dis-equilibrium_open_trshld'], color='purple',\n", - " linestyle=':', alpha=0.7, label=f\"Open Threshold ({CONFIG['dis-equilibrium_open_trshld']})\")\n", - " axes[3].axhline(y=CONFIG['dis-equilibrium_close_trshld'], color='brown',\n", - " linestyle=':', alpha=0.7, label=f\"Close Threshold ({CONFIG['dis-equilibrium_close_trshld']})\")\n", - "\n", - " # Add trading signals if they exist\n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " for _, trade in pair_trades.iterrows():\n", - " color = 'red' if 'BUY' in trade['action'] else 'blue'\n", - " marker = '^' if 'BUY' in trade['action'] else 'v'\n", - " axes[3].scatter(trade['time'], trade['scaled_disequilibrium'],\n", - " color=color, marker=marker, s=100, alpha=0.8,\n", - " label=f\"{trade['action']} {trade['symbol']}\" if _ < 2 else \"\")\n", - "\n", - " axes[3].set_title('Testing Period: Scaled Dis-equilibrium with Trading Signals')\n", - " axes[3].set_ylabel('Scaled Dis-equilibrium')\n", - " axes[3].set_xlabel('Time')\n", - " axes[3].legend()\n", - " axes[3].grid(True)\n", - "\n", - " plt.tight_layout()\n", - " plt.show()\n", - "\n", - " # Print prediction statistics\n", - " print(f\"\\nTesting dis-equilibrium statistics:\")\n", - " print(f\" Mean: {pair.predicted_df_['disequilibrium'].mean():.6f}\")\n", - " print(f\" Std: {pair.predicted_df_['disequilibrium'].std():.6f}\")\n", - " print(f\" Min: {pair.predicted_df_['disequilibrium'].min():.6f}\")\n", - " print(f\" Max: {pair.predicted_df_['disequilibrium'].max():.6f}\")\n", - "\n", - " print(f\"\\nTesting scaled dis-equilibrium statistics:\")\n", - " print(f\" Mean: {pair.predicted_df_['scaled_disequilibrium'].mean():.6f}\")\n", - " print(f\" Std: {pair.predicted_df_['scaled_disequilibrium'].std():.6f}\")\n", - " print(f\" Min: {pair.predicted_df_['scaled_disequilibrium'].min():.6f}\")\n", - " print(f\" Max: {pair.predicted_df_['scaled_disequilibrium'].max():.6f}\")\n", - "\n", - " # Count threshold crossings\n", - " open_crossings = (pair.predicted_df_['scaled_disequilibrium'] >= CONFIG['dis-equilibrium_open_trshld']).sum()\n", - " close_crossings = (pair.predicted_df_['scaled_disequilibrium'] <= CONFIG['dis-equilibrium_close_trshld']).sum()\n", - " print(f\"\\nThreshold crossings:\")\n", - " print(f\" Open threshold ({CONFIG['dis-equilibrium_open_trshld']}): {open_crossings} times\")\n", - " print(f\" Close threshold ({CONFIG['dis-equilibrium_close_trshld']}): {close_crossings} times\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Summary and Analysis" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print(\"=\" * 60)\n", - "print(\"PAIRS TRADING ANALYSIS SUMMARY\")\n", - "print(\"=\" * 60)\n", - "\n", - "print(f\"\\nPair: {SYMBOL_A} & {SYMBOL_B}\")\n", - "print(f\"Strategy: {type(FIT_METHOD).__name__}\")\n", - "print(f\"Data file: {DATA_FILE}\")\n", - "print(f\"Training period: {training_minutes} minutes\")\n", - "\n", - "print(f\"\\nCointegration Status: {'✓ COINTEGRATED' if is_cointegrated else '✗ NOT COINTEGRATED'}\")\n", - "\n", - "if is_cointegrated:\n", - " print(f\"\\nVECM Model:\")\n", - " print(f\" Beta coefficients: {pair.vecm_fit_.beta.flatten()}\")\n", - " print(f\" Training mean: {pair.training_mu_:.6f}\")\n", - " print(f\" Training std: {pair.training_std_:.6f}\")\n", - "\n", - " if pair_trades is not None and len(pair_trades) > 0:\n", - " print(f\"\\nTrading Signals: {len(pair_trades)} generated\")\n", - " unique_times = pair_trades['time'].unique()\n", - " print(f\" Unique trade times: {len(unique_times)}\")\n", - "\n", - " # Group by time to see paired trades\n", - " for trade_time in unique_times:\n", - " trades_at_time = pair_trades[pair_trades['time'] == trade_time]\n", - " print(f\"\\n Trade at {trade_time}:\")\n", - " for _, trade in trades_at_time.iterrows():\n", - " print(f\" {trade['action']} {trade['symbol']} @ ${trade['price']:.2f} (dis-eq: {trade['scaled_disequilibrium']:.2f})\")\n", - " else:\n", - " print(f\"\\nTrading Signals: None generated\")\n", - " print(\" Possible reasons:\")\n", - " print(\" - Dis-equilibrium never exceeded open threshold\")\n", - " print(\" - Insufficient testing data\")\n", - " print(\" - Strategy-specific conditions not met\")\n", - "\n", - "else:\n", - " print(\"\\nCannot proceed with trading strategy - pair is not cointegrated\")\n", - " print(\"Consider:\")\n", - " print(\" - Trying different symbol pairs\")\n", - " print(\" - Adjusting training period length\")\n", - " print(\" - Using different data timeframe\")\n", - "\n", - "print(\"\\n\" + \"=\" * 60)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Interactive Analysis (Optional)\n", - "\n", - "You can modify the parameters below and re-run the analysis:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Interactive parameter adjustment\n", - "print(\"Current parameters:\")\n", - "print(f\" Open threshold: {CONFIG['dis-equilibrium_open_trshld']}\")\n", - "print(f\" Close threshold: {CONFIG['dis-equilibrium_close_trshld']}\")\n", - "print(f\" Training minutes: {CONFIG['training_minutes']}\")\n", - "\n", - "# Uncomment and modify these to experiment:\n", - "# CONFIG['dis-equilibrium_open_trshld'] = 1.5\n", - "# CONFIG['dis-equilibrium_close_trshld'] = 0.3\n", - "# CONFIG['training_minutes'] = 180\n", - "\n", - "print(\"\\nTo re-run with different parameters:\")\n", - "print(\"1. Modify the parameters above\")\n", - "print(\"2. Re-run from the 'Split Data into Training and Testing' cell\")\n", - "print(\"3. Or try different symbol pairs by changing SYMBOL_A and SYMBOL_B\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "python3.12-venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.9" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/research/pt_backtest.py b/research/pt_backtest.py index baf7a76..04d7f96 100644 --- a/research/pt_backtest.py +++ b/research/pt_backtest.py @@ -7,6 +7,7 @@ from typing import Any, Dict, List, Optional import pandas as pd +from research.research_tools import create_pairs from tools.config import expand_filename, load_config from tools.data_loader import get_available_instruments_from_db, load_market_data from pt_trading.results import ( @@ -70,31 +71,8 @@ def run_backtest( """ bt_result: BacktestResult = BacktestResult(config=config) - def _create_pairs(config: Dict, instruments: List[str]) -> List[TradingPair]: - nonlocal datafile - all_indexes = range(len(instruments)) - unique_index_pairs = [(i, j) for i in all_indexes for j in all_indexes if i < j] - pairs = [] - - # Update config to use the specified instruments - config_copy = config.copy() - config_copy["instruments"] = instruments - - market_data_df = load_market_data(datafile, config=config_copy) - - for a_index, b_index in unique_index_pairs: - pair = TradingPair( - config=config_copy, - market_data=market_data_df, - symbol_a=instruments[a_index], - symbol_b=instruments[b_index], - price_column=price_column, - ) - pairs.append(pair) - return pairs - pairs_trades = [] - for pair in _create_pairs(config, instruments): + for pair in create_pairs(datafile, price_column, config, instruments): single_pair_trades = fit_method.run_pair( pair=pair, bt_result=bt_result ) diff --git a/research/research_tools.py b/research/research_tools.py new file mode 100644 index 0000000..944d856 --- /dev/null +++ b/research/research_tools.py @@ -0,0 +1,69 @@ +import glob +import os +from typing import Dict, List, Optional + + + +def resolve_datafiles(config: Dict, cli_datafiles: Optional[str] = None) -> List[str]: + """ + Resolve the list of data files to process. + CLI datafiles take priority over config datafiles. + Supports wildcards in config but not in CLI. + """ + if cli_datafiles: + # CLI override - comma-separated list, no wildcards + datafiles = [f.strip() for f in cli_datafiles.split(",")] + # Make paths absolute relative to data directory + data_dir = config.get("data_directory", "./data") + resolved_files = [] + for df in datafiles: + if not os.path.isabs(df): + df = os.path.join(data_dir, df) + resolved_files.append(df) + return resolved_files + + # Use config datafiles with wildcard support + config_datafiles = config.get("datafiles", []) + data_dir = config.get("data_directory", "./data") + resolved_files = [] + + for pattern in config_datafiles: + if "*" in pattern or "?" in pattern: + # Handle wildcards + if not os.path.isabs(pattern): + pattern = os.path.join(data_dir, pattern) + matched_files = glob.glob(pattern) + resolved_files.extend(matched_files) + else: + # Handle explicit file path + if not os.path.isabs(pattern): + pattern = os.path.join(data_dir, pattern) + resolved_files.append(pattern) + + return sorted(list(set(resolved_files))) # Remove duplicates and sort + +def create_pairs(datafile: str, price_column: str, config: Dict, instruments: List[str]) -> List: + from tools.data_loader import load_market_data + from pt_trading.trading_pair import TradingPair + all_indexes = range(len(instruments)) + unique_index_pairs = [(i, j) for i in all_indexes for j in all_indexes if i < j] + pairs = [] + + # Update config to use the specified instruments + config_copy = config.copy() + config_copy["instruments"] = instruments + + market_data_df = load_market_data(datafile, config=config_copy) + + for a_index, b_index in unique_index_pairs: + from research.pt_backtest import TradingPair + pair = TradingPair( + config=config_copy, + market_data=market_data_df, + symbol_a=instruments[a_index], + symbol_b=instruments[b_index], + price_column=price_column, + ) + pairs.append(pair) + return pairs + From 705330a9f73e70629b7777b27c1b3da77e1f57f4 Mon Sep 17 00:00:00 2001 From: Oleg Sheynin Date: Fri, 18 Jul 2025 22:51:29 +0000 Subject: [PATCH 02/25] progress --- README.md | 1 - configuration/crypto.cfg | 1 - configuration/equity.cfg | 24 +- configuration/equity_single.cfg | 1 - lib/pt_trading/results.py | 31 +- research/notebooks/pt_sliding.ipynb | 5912 ++++++++++----------------- 6 files changed, 2271 insertions(+), 3699 deletions(-) diff --git a/README.md b/README.md index bc35b76..26ce2eb 100644 --- a/README.md +++ b/README.md @@ -45,7 +45,6 @@ Each configuration dictionary specifies: - `instruments`: A list of symbols to consider for forming trading pairs. - `trading_hours`: Defines the session start and end times, crucial for equity markets. - `price_column`: The column in the data to be used as the price (e.g., "close"). -- `min_required_points`: Minimum data points needed for statistical calculations. - `zero_threshold`: A small value to handle potential division by zero. - `dis-equilibrium_open_trshld`: The threshold (in standard deviations) of the dis-equilibrium for opening a trade. - `dis-equilibrium_close_trshld`: The threshold (in standard deviations) of the dis-equilibrium for closing an open trade. diff --git a/configuration/crypto.cfg b/configuration/crypto.cfg index 4acea64..7d94d4d 100644 --- a/configuration/crypto.cfg +++ b/configuration/crypto.cfg @@ -13,7 +13,6 @@ "timezone": "UTC" }, "price_column": "close", - "min_required_points": 30, "zero_threshold": 1e-10, "dis-equilibrium_open_trshld": 2.0, "dis-equilibrium_close_trshld": 0.5, diff --git a/configuration/equity.cfg b/configuration/equity.cfg index ca8d821..23ae6de 100644 --- a/configuration/equity.cfg +++ b/configuration/equity.cfg @@ -13,15 +13,27 @@ "timezone": "America/New_York" }, "price_column": "close", - "min_required_points": 30, + "funding_per_pair": 2000.0, "zero_threshold": 1e-10, + # "dis-equilibrium_open_trshld": 2.0, "dis-equilibrium_close_trshld": 1.0, - "training_minutes": 120, - "funding_per_pair": 2000.0, + "training_minutes": 150, "fit_method_class": "pt_trading.sliding_fit.SlidingFit", - # "fit_method_class": "pt_trading.static_fit.StaticFit", "exclude_instruments": ["CAN"], - "close_outstanding_positions": false - + + # ====== Stop Conditions ====== + "stop_conditions": { + "profit": 1.0, + "loss": -0.5 + } + + # ====== End of Session Closeout ====== + "close_outstanding_positions": true, + # "close_outstanding_positions": false, + "trading_hours": { + "begin_session": "9:30:00", + "end_session": "15:30:00", + "timezone": "America/New_York" + } } \ No newline at end of file diff --git a/configuration/equity_single.cfg b/configuration/equity_single.cfg index be60667..b076b11 100644 --- a/configuration/equity_single.cfg +++ b/configuration/equity_single.cfg @@ -13,7 +13,6 @@ "timezone": "America/New_York" }, "price_column": "close", - "min_required_points": 30, "zero_threshold": 1e-10, "dis-equilibrium_open_trshld": 2.0, "dis-equilibrium_close_trshld": 1.0, diff --git a/lib/pt_trading/results.py b/lib/pt_trading/results.py index 3d4e229..1fc15c3 100644 --- a/lib/pt_trading/results.py +++ b/lib/pt_trading/results.py @@ -170,7 +170,24 @@ def store_config_in_database( traceback.print_exc() +def convert_timestamp(timestamp: Any) -> Optional[datetime]: + """Convert pandas Timestamp to Python datetime object for SQLite compatibility.""" + if timestamp is None: + return None + if isinstance(timestamp, pd.Timestamp): + return timestamp.to_pydatetime() + elif isinstance(timestamp, datetime): + return timestamp + elif isinstance(timestamp, date): + return datetime.combine(timestamp, datetime.min.time()) + elif isinstance(timestamp, str): + return datetime.strptime(timestamp, "%Y-%m-%d %H:%M:%S") + elif isinstance(timestamp, int): + return datetime.fromtimestamp(timestamp) + else: + raise ValueError(f"Unsupported timestamp type: {type(timestamp)}") + def store_results_in_database( db_path: str, datafile: str, bt_result: "BacktestResult" ) -> None: @@ -180,14 +197,6 @@ def store_results_in_database( if db_path.upper() == "NONE": return - def convert_timestamp(timestamp: Any) -> Optional[datetime]: - """Convert pandas Timestamp to Python datetime object for SQLite compatibility.""" - if timestamp is None: - return None - if hasattr(timestamp, "to_pydatetime"): - return timestamp.to_pydatetime() - return timestamp - try: # Extract date from datafile name (assuming format like 20250528.mktdata.ohlcv.db) filename = os.path.basename(datafile) @@ -489,7 +498,11 @@ class BacktestResult: price = row.price disequilibrium = getattr(row, "disequilibrium", None) scaled_disequilibrium = getattr(row, "scaled_disequilibrium", None) - timestamp = getattr(row, "time", None) + if hasattr(row, "time"): + timestamp = getattr(row, "time") + else: + timestamp = convert_timestamp(row.Index) + self.add_trade( pair_nm=str(row.pair), action=str(action), diff --git a/research/notebooks/pt_sliding.ipynb b/research/notebooks/pt_sliding.ipynb index b09bba3..94f5329 100644 --- a/research/notebooks/pt_sliding.ipynb +++ b/research/notebooks/pt_sliding.ipynb @@ -43,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -64,25 +64,25 @@ "global bt_result\n", "\n", "# ================================ E Q U I T Y ================================\n", - "# CONFIG_FILE = \"equity\" # Options: \"equity\", \"crypto\", or custom filename (without .cfg extension)\n", + "CONFIG_FILE = \"equity\" # Options: \"equity\", \"crypto\", or custom filename (without .cfg extension)\n", "\n", - "# # Date for data file selection (format: YYYYMMDD)\n", - "# TRADING_DATE = \"20250604\" # Change this to your desired date\n", + "# Date for data file selection (format: YYYYMMDD)\n", + "TRADING_DATE = \"20250618\" # Change this to your desired date\n", "\n", - "# # Trading pair symbols\n", - "# SYMBOL_A = \"COIN\" # Change this to your desired symbol A\n", - "# SYMBOL_B = \"MSTR\" # Change this to your desired symbol B\n", + "# Trading pair symbols\n", + "SYMBOL_A = \"COIN\" # Change this to your desired symbol A\n", + "SYMBOL_B = \"MSTR\" # Change this to your desired symbol B\n", "# ================================ E Q U I T Y ================================\n", "\n", "# ================================ C R Y P T O ================================\n", - "CONFIG_FILE = \"crypto\" # Options: \"equity\", \"crypto\", or custom filename (without .cfg extension)\n", + "# CONFIG_FILE = \"crypto\" # Options: \"equity\", \"crypto\", or custom filename (without .cfg extension)\n", "\n", - "# Date for data file selection (format: YYYYMMDD)\n", - "TRADING_DATE = \"20250605\" # Change this to your desired date\n", + "# # Date for data file selection (format: YYYYMMDD)\n", + "# TRADING_DATE = \"20250605\" # Change this to your desired date\n", "\n", - "# Trading pair symbols\n", - "SYMBOL_A = \"BTC-USDT\" # Change this to your desired symbol A\n", - "SYMBOL_B = \"ETH-USDT\" # Change this to your desired symbol B\n", + "# # Trading pair symbols\n", + "# SYMBOL_A = \"BTC-USDT\" # Change this to your desired symbol A\n", + "# SYMBOL_B = \"ETH-USDT\" # Change this to your desired symbol B\n", "# ================================ C R Y P T O ================================\n", "\n", "FIT_METHOD_TYPE = \"SlidingFit\"\n", @@ -105,7 +105,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -147,7 +147,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -227,7 +227,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -314,7 +314,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -375,7 +375,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -420,7 +420,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -512,7 +512,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -582,7 +582,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -739,7 +739,7 @@ " y=zeroes,\n", " mode='markers',\n", " name='OPEN',\n", - " marker=dict(color='red', size=10, symbol='triangle-up')\n", + " marker=dict(color='green', size=10, symbol='triangle-up')\n", " ),\n", " row=2, col=1\n", " )\n", @@ -751,7 +751,7 @@ " y=ones,\n", " mode='markers',\n", " name='CLOSE',\n", - " marker=dict(color='green', size=10, symbol='triangle-down')\n", + " marker=dict(color='red', size=10, symbol='triangle-down')\n", " ),\n", " row=2, col=1\n", " )\n", @@ -777,11 +777,11 @@ " buy_open_trades = symbol_a_trades[(symbol_a_trades['action'].str.contains('BUY', na=False)) & \n", " (symbol_a_trades['status'] == 'OPEN')]\n", " buy_close_trades = symbol_a_trades[(symbol_a_trades['action'].str.contains('BUY', na=False)) & \n", - " (symbol_a_trades['status'] == 'CLOSE')]\n", + " (symbol_a_trades['status'].str.startswith('CLOSE'))]\n", " sell_open_trades = symbol_a_trades[(symbol_a_trades['action'].str.contains('SELL', na=False)) & \n", " (symbol_a_trades['status'] == 'OPEN')]\n", " sell_close_trades = symbol_a_trades[(symbol_a_trades['action'].str.contains('SELL', na=False)) & \n", - " (symbol_a_trades['status'] == 'CLOSE')]\n", + " (symbol_a_trades['status'].str.startswith('CLOSE'))]\n", " \n", " # Add BUY OPEN signals\n", " if len(buy_open_trades) > 0:\n", @@ -791,7 +791,7 @@ " y=buy_open_trades['price'],\n", " mode='markers',\n", " name=f'{SYMBOL_A} BUY OPEN',\n", - " marker=dict(color='red', size=12, symbol='triangle-up'),\n", + " marker=dict(color='green', size=12, symbol='triangle-up'),\n", " showlegend=True\n", " ),\n", " row=3, col=1\n", @@ -805,7 +805,7 @@ " y=buy_close_trades['price'],\n", " mode='markers',\n", " name=f'{SYMBOL_A} BUY CLOSE',\n", - " marker=dict(color='pink', size=12, symbol='triangle-up'),\n", + " marker=dict(color='green', size=12, symbol='triangle-up'),\n", " showlegend=True\n", " ),\n", " row=3, col=1\n", @@ -819,7 +819,7 @@ " y=sell_open_trades['price'],\n", " mode='markers',\n", " name=f'{SYMBOL_A} SELL OPEN',\n", - " marker=dict(color='blue', size=12, symbol='triangle-down'),\n", + " marker=dict(color='red', size=12, symbol='triangle-down'),\n", " showlegend=True\n", " ),\n", " row=3, col=1\n", @@ -833,7 +833,7 @@ " y=sell_close_trades['price'],\n", " mode='markers',\n", " name=f'{SYMBOL_A} SELL CLOSE',\n", - " marker=dict(color='purple', size=12, symbol='triangle-down'),\n", + " marker=dict(color='red', size=12, symbol='triangle-down'),\n", " showlegend=True\n", " ),\n", " row=3, col=1\n", @@ -860,11 +860,13 @@ " buy_open_trades = symbol_b_trades[(symbol_b_trades['action'].str.contains('BUY', na=False)) & \n", " (symbol_b_trades['status'] == 'OPEN')]\n", " buy_close_trades = symbol_b_trades[(symbol_b_trades['action'].str.contains('BUY', na=False)) & \n", - " (symbol_b_trades['status'] == 'CLOSE')]\n", + " ((symbol_b_trades['status'] == 'CLOSE') | \n", + " (symbol_b_trades['status'] == 'CLOSE_POSITION'))]\n", " sell_open_trades = symbol_b_trades[(symbol_b_trades['action'].str.contains('SELL', na=False)) & \n", " (symbol_b_trades['status'] == 'OPEN')]\n", " sell_close_trades = symbol_b_trades[(symbol_b_trades['action'].str.contains('SELL', na=False)) & \n", - " (symbol_b_trades['status'] == 'CLOSE')]\n", + " ((symbol_b_trades['status'] == 'CLOSE') | \n", + " (symbol_b_trades['status'] == 'CLOSE_POSITION'))]\n", " \n", " # Add BUY OPEN signals\n", " if len(buy_open_trades) > 0:\n", @@ -874,7 +876,7 @@ " y=buy_open_trades['price'],\n", " mode='markers',\n", " name=f'{SYMBOL_B} BUY OPEN',\n", - " marker=dict(color='red', size=12, symbol='triangle-up'),\n", + " marker=dict(color='green', size=12, symbol='triangle-up'),\n", " showlegend=True\n", " ),\n", " row=4, col=1\n", @@ -888,7 +890,7 @@ " y=buy_close_trades['price'],\n", " mode='markers',\n", " name=f'{SYMBOL_B} BUY CLOSE',\n", - " marker=dict(color='red', size=12, symbol='triangle-up'),\n", + " marker=dict(color='green', size=12, symbol='triangle-up'),\n", " showlegend=True\n", " ),\n", " row=4, col=1\n", @@ -902,7 +904,7 @@ " y=sell_open_trades['price'],\n", " mode='markers',\n", " name=f'{SYMBOL_B} SELL OPEN',\n", - " marker=dict(color='blue', size=12, symbol='triangle-down'),\n", + " marker=dict(color='red', size=12, symbol='triangle-down'),\n", " showlegend=True\n", " ),\n", " row=4, col=1\n", @@ -916,7 +918,7 @@ " y=sell_close_trades['price'],\n", " mode='markers',\n", " name=f'{SYMBOL_B} SELL CLOSE',\n", - " marker=dict(color='blue', size=12, symbol='triangle-down'),\n", + " marker=dict(color='red', size=12, symbol='triangle-down'),\n", " showlegend=True\n", " ),\n", " row=4, col=1\n", @@ -1131,7 +1133,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -1201,7 +1203,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -1265,8 +1267,8 @@ " print(f\" Pair: {SYMBOL_A} & {SYMBOL_B}\")\n", " print(f\" Strategy: {FIT_METHOD_TYPE}\")\n", " print(f\" Open threshold: {PT_BT_CONFIG['dis-equilibrium_open_trshld']}\")\n", - " print(f\" Close threshold: {pt_bt_config['dis-equilibrium_close_trshld']}\")\n", - " print(f\" Training window: {pt_bt_config['training_minutes']} minutes\")\n", + " print(f\" Close threshold: {PT_BT_CONFIG['dis-equilibrium_close_trshld']}\")\n", + " print(f\" Training window: {PT_BT_CONFIG['training_minutes']} minutes\")\n", " \n", " print(\"\\n\" + \"=\"*80)\n", "\n", @@ -1282,7 +1284,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -1291,34 +1293,34 @@ "text": [ "Setup complete!\n", "Trading Parameters:\n", - " Configuration: crypto\n", - " Symbol A: BTC-USDT\n", - " Symbol B: ETH-USDT\n", - " Trading Date: 2025-06-05\n", + " Configuration: equity\n", + " Symbol A: COIN\n", + " Symbol B: MSTR\n", + " Trading Date: 2025-06-18\n", "\n", - "Loading crypto configuration using HJSON...\n", - "✓ Successfully loaded CRYPTO configuration\n", - " Data directory: /home/oleg/develop/pairs_trading/data/crypto\n", + "Loading equity configuration using HJSON...\n", + "✓ Successfully loaded EQUITY configuration\n", + " Data directory: /home/oleg/develop/pairs_trading/data/equity\n", " Database table: md_1min_bars\n", - " Exchange: BNBSPOT\n", - " Training window: 120 minutes\n", + " Exchange: ALPACA\n", + " Training window: 150 minutes\n", " Open threshold: 2\n", - " Close threshold: 0.5\n", + " Close threshold: 1\n", "Load configuration SUCCESS\n", " Fit Method: SlidingFit\n", "\n", "Data Configuration:\n", - " Data File: 20250605.mktdata.ohlcv.db\n", - " Security Type: CRYPTO\n", - " ✓ Data file found: /home/oleg/develop/pairs_trading/data/crypto/20250605.mktdata.ohlcv.db\n", - "Loading data from: /home/oleg/develop/pairs_trading/data/crypto/20250605.mktdata.ohlcv.db\n", - "Loaded 1202 rows of market data\n", - "Symbols in data: ['BTC-USDT' 'ETH-USDT']\n", - "Time range: 2025-06-05 10:00:00 to 2025-06-05 20:00:00\n", + " Data File: 20250618.mktdata.ohlcv.db\n", + " Security Type: EQUITY\n", + " ✓ Data file found: /home/oleg/develop/pairs_trading/data/equity/20250618.mktdata.ohlcv.db\n", + "Loading data from: /home/oleg/develop/pairs_trading/data/equity/20250618.mktdata.ohlcv.db\n", + "Loaded 722 rows of market data\n", + "Symbols in data: ['COIN' 'MSTR']\n", + "Time range: 2025-06-18 13:30:00 to 2025-06-18 19:30:00\n", "\n", - "Created trading pair: BTC-USDT & ETH-USDT\n", - "Market data shape: (601, 3)\n", - "Column names: ['close_BTC-USDT', 'close_ETH-USDT']\n", + "Created trading pair: COIN & MSTR\n", + "Market data shape: (361, 3)\n", + "Column names: ['close_COIN', 'close_MSTR']\n", "\n", "Sample data:\n" ] @@ -1345,52 +1347,52 @@ " \n", " \n", " tstamp\n", - " close_BTC-USDT\n", - " close_ETH-USDT\n", + " close_COIN\n", + " close_MSTR\n", " \n", " \n", " \n", " \n", " 0\n", - " 2025-06-05 10:00:00\n", - " 104880.01\n", - " 2609.46\n", + " 2025-06-18 13:30:00\n", + " 254.6000\n", + " 372.1100\n", " \n", " \n", " 1\n", - " 2025-06-05 10:01:00\n", - " 104849.06\n", - " 2609.19\n", + " 2025-06-18 13:31:00\n", + " 254.4300\n", + " 372.4050\n", " \n", " \n", - " 80\n", - " 2025-06-05 10:02:00\n", - " 104844.46\n", - " 2609.20\n", + " 2\n", + " 2025-06-18 13:32:00\n", + " 252.7188\n", + " 370.3550\n", " \n", " \n", - " 81\n", - " 2025-06-05 10:03:00\n", - " 104844.47\n", - " 2609.38\n", + " 3\n", + " 2025-06-18 13:33:00\n", + " 252.5450\n", + " 369.2100\n", " \n", " \n", - " 82\n", - " 2025-06-05 10:04:00\n", - " 104875.40\n", - " 2609.75\n", + " 4\n", + " 2025-06-18 13:34:00\n", + " 252.7850\n", + " 371.3695\n", " \n", " \n", "\n", "" ], "text/plain": [ - " tstamp close_BTC-USDT close_ETH-USDT\n", - "0 2025-06-05 10:00:00 104880.01 2609.46\n", - "1 2025-06-05 10:01:00 104849.06 2609.19\n", - "80 2025-06-05 10:02:00 104844.46 2609.20\n", - "81 2025-06-05 10:03:00 104844.47 2609.38\n", - "82 2025-06-05 10:04:00 104875.40 2609.75" + " tstamp close_COIN close_MSTR\n", + "0 2025-06-18 13:30:00 254.6000 372.1100\n", + "1 2025-06-18 13:31:00 254.4300 372.4050\n", + "2 2025-06-18 13:32:00 252.7188 370.3550\n", + "3 2025-06-18 13:33:00 252.5450 369.2100\n", + "4 2025-06-18 13:34:00 252.7850 371.3695" ] }, "metadata": {}, @@ -1418,52 +1420,52 @@ " \n", " \n", " tstamp\n", - " close_BTC-USDT\n", - " close_ETH-USDT\n", + " close_COIN\n", + " close_MSTR\n", " \n", " \n", " \n", " \n", - " 495\n", - " 2025-06-05 19:56:00\n", - " 102026.88\n", - " 2530.34\n", + " 356\n", + " 2025-06-18 19:26:00\n", + " 294.87\n", + " 369.6512\n", " \n", " \n", - " 496\n", - " 2025-06-05 19:57:00\n", - " 102044.06\n", - " 2530.99\n", + " 357\n", + " 2025-06-18 19:27:00\n", + " 293.75\n", + " 368.5100\n", " \n", " \n", - " 497\n", - " 2025-06-05 19:58:00\n", - " 101993.44\n", - " 2531.30\n", + " 358\n", + " 2025-06-18 19:28:00\n", + " 293.80\n", + " 368.4600\n", " \n", " \n", - " 498\n", - " 2025-06-05 19:59:00\n", - " 101914.77\n", - " 2528.96\n", + " 359\n", + " 2025-06-18 19:29:00\n", + " 292.88\n", + " 368.4000\n", " \n", " \n", - " 499\n", - " 2025-06-05 20:00:00\n", - " 101903.77\n", - " 2526.99\n", + " 360\n", + " 2025-06-18 19:30:00\n", + " 294.12\n", + " 369.0700\n", " \n", " \n", "\n", "" ], "text/plain": [ - " tstamp close_BTC-USDT close_ETH-USDT\n", - "495 2025-06-05 19:56:00 102026.88 2530.34\n", - "496 2025-06-05 19:57:00 102044.06 2530.99\n", - "497 2025-06-05 19:58:00 101993.44 2531.30\n", - "498 2025-06-05 19:59:00 101914.77 2528.96\n", - "499 2025-06-05 20:00:00 101903.77 2526.99" + " tstamp close_COIN close_MSTR\n", + "356 2025-06-18 19:26:00 294.87 369.6512\n", + "357 2025-06-18 19:27:00 293.75 368.5100\n", + "358 2025-06-18 19:28:00 293.80 368.4600\n", + "359 2025-06-18 19:29:00 292.88 368.4000\n", + "360 2025-06-18 19:30:00 294.12 369.0700" ] }, "metadata": {}, @@ -1482,20 +1484,20 @@ " - Dynamic parameter updates every minute\n", "\n", "Sliding window analysis parameters:\n", - " Training window size: 120 minutes\n", - " Maximum iterations: 481\n", - " Total analysis time: ~481 minutes\n", + " Training window size: 150 minutes\n", + " Maximum iterations: 211\n", + " Total analysis time: ~211 minutes\n", "\n", "Strategy Configuration:\n", " Open threshold: 2\n", - " Close threshold: 0.5\n", - " Training minutes: 120\n", + " Close threshold: 1\n", + " Training minutes: 150\n", " Funding per pair: $2000\n" ] }, { "data": { - "image/png": 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leS5OnDiR4nVKSkpi3LhxTJs2jb1796ZYy+3YsWMZOuaGDRsYNWoUixcvThEyZeYYZ/Pss8/yyy+/8OKLL6YKEsPCwtJcg+9Um8x/B5P/9s477/DZZ5/xwAMP0Lp167OOoUiRIlx33XWMHz+ePXv2ULJkSY4dO5YixHO5XBQpUiT0mGca17/HdOrfnTp1SrFf586dmTJlCsuXLycuLo6EhAR8Pl+K+xUsWDBTj5WWBg0aUKdOHRYtWnTGfTIawouIiIiI5HUK/kREREREJEeYpknjxo2ZNGkS27Zto1KlShm6X/ny5YHgmmRt27ZNd99//vmHK664IsW2SZMm0bhx41B11ZnWJDt58iQlS5ZM8zbDMChXrhzlypXjsssu48orr2TWrFkZDv7Wr18PQGxsbIb2z6jKlSvTrFmzs+536rmfr1Oh20svvZRm28bzXYPR5/OxdevWFHPj2WefZdq0adx2223Ex8dTsGBBDMNg4MCBKULAMzl69Ci33HIL4eHh9O/fn9jYWDweD2vWrGHkyJFYlpXu/YsUKYLf7ycxMfGMweaYMWP4+OOPeeihh9KsQIyKimLv3r2ptqfXbnPatGmMHDmSHj160K9fv7M+z1NOzeGEhARKlizJ888/z/Tp00O3N2rUiMmTJ6fbZnT//v0pxlS8eHE2bNhAZGRkiv0iIiIAOHLkCAD3338/S5YsCd1+7bXXMmLEiNBj7d+/P1Wrzv3794fWOjzb89qyZUuq7aceO631D0VERERELkUK/kREREREJMcEAgHgdAVcRtSvX5/ChQvz9ddfc88996QbLkVFRfHee++l2Haq+qp06dIAbNmyJVX4cPLkSfbs2ZOh9QdjYmIoVKhQKLTJiFmzZmEYRqbXN8xJsbGxWJbFpk2bqFatWpr7nFpPLTIyMkOBY2bNnj2bpKQkWrRokWJb165dGTx4cGhbcnJyqkq9M1V8LVmyhISEBMaMGUPDhg1D23fu3JmhMZ0Knnfu3JlmS9CPPvqIN954g9tuu4277rorzWNUrVqV3377LVV4uGLFCoBUr/ecOXN44oknuPLKK3n66aczNM5TTj2vU6Fcnz596NKlS+j2U60xK1eujNPpZPXq1Slaa3q9XtatW8dVV10V2lajRg1+/fVX9u7dG3o94HRoeOqxHn30UY4ePRq6/VR4eOr5rVq1KkXIt3fvXvbs2UP37t3P+rx27NiRZrh36vmmV6kqIiIiInIpMc++i4iIiIiIyPnz+Xz8+uuvuFyuTJ2kz5cvH3369GHTpk2MHDkyzSqvmTNnsnLlSjweD82aNUvxp3DhwgA0bdoUl8vFJ598kqrKa8qUKfj9flq1ahXatmLFijQDypUrV5KQkBBav/Bsxo8fz4IFC7j66qvTXQctt7Vt2xbTNBk7dmyq1+fUa96yZUvCw8MZN25cipaOp/y3zWpm/PXXX7zwwgsULlyYnj17hranFfROnjw5FCKfki9fPiB1685T6xX+e954vV4+/vjjDI2rbt26AKxevTrVbd988w3PPfccnTt35rHHHjvjMTp06EAgEGDKlCkpxjBt2jTq1KmTIoj+/fffefDBB2nQoAEjR45Mtd7iKWm91nv37mXq1KlUqVIlFLpVrFgxxc9DzZo1AShYsCBNmzZl1qxZKdqfzpw5kxMnTtChQ4fQtlMh4BdffJHi8b744gucTieNGjUCoGbNmikeq2LFigBUqlSJ8uXL89lnn6X4vn3yyScYhpHisdJ6XvPnz2fNmjW0bNky1W1r1qyhYMGCGa4gFhERERHJ61TxJyIiIiIi2eLnn39m8+bNQPBk/pdffsnWrVu56667Mr0WXJ8+fdi4cSPvvvsuv/32G+3bt6dYsWIcOHCAOXPmsHLlSj799NN0jxEZGcm9997LqFGj6NmzJ5dffjn58uVj2bJlfPXVV7Ro0YLLL788tP/MmTP58ssvadu2LTVr1sTlcrFp0yamTp2Kx+PhnnvuSXF8v9/PzJkzgWCos2vXLn788Uf+/vtvGjduzDPPPJOp55zTypYtyz333MObb77JzTffzJVXXonb7WbVqlUUL16chx56iPDwcIYOHcqgQYO47rrruPrqq4mIiGD37t3Mnz+fevXq8dRTT531sf744w+Sk5OxLIuEhASWLl3Kjz/+SHh4OGPGjEnRRvSyyy5j5syZhIeHU7FiRZYvX87ChQspUqRIimNWq1YNh8PBhAkTOHbsGG63myZNmlC3bl0KFy7M4MGDufXWWzEMg5kzZ2aoTSgEqxwrV67MokWLuP7660PbV65cyaBBgyhSpEgoQPu3evXqhSok69SpQ4cOHXj11Vc5ePAgZcuWZfr06ezatYvnn38+dJ9du3bRt29fDMOgffv2fPvttymOWaVKlVDV4csvv8z27dtp2rQpxYsXZ9euXXz66aecOHGCIUOGZOi5DRw4kB49enDrrbfSvXt39uzZw3vvvUeLFi1ShODVq1enW7duTJ06lUAgQMOGDVmyZAnfffcdd999NyVKlDjrYw0aNIi+fftyxx130LFjR9avX89HH33EDTfckOJCgB49elCtWjVq1qxJwYIFWbt2LVOnTqVUqVKpfuYAFi5cSJs2bbTGn4iIiIjI/1PwJyIiIiIi2WL06NGhf3s8HsqXL8/QoUPp0aNHpo9lmiYvvfQSV1xxBZ999hnvvvsuiYmJFC1alIYNG/LII4+EKrPS07dvX8qUKcNHH33Em2++id/vJzo6mvvvv5+77rorRXXVjTfeSFhYGIsXL+bHH38MPV7z5s25++67qV69eopje71eBg0aBASrzyIiIqhZsyb33nsv7dq1O2Pl1oXkgQceIDo6mg8//JDXXnuNfPnyUaVKFa655prQPp07d6Z48eKMHz+eiRMn4vV6KVGiBA0aNOC6667L0ONMnjwZAJfLRcGCBalQoQL3338/3bt3D7WNPGXIkCGYpsmXX35JcnIy9erV47333qNPnz4p9ouKimLYsGGMGzeOIUOGEAgEQus7vv3227z44ouMGjWKQoUK0aVLF5o2bcqdd96ZofF269aN119/naSkJMLCwgDYuHEjPp+PQ4cO8fjjj6e6z/Dhw0PBHwTXRRw1ahSzZs3iyJEjVKlShbfffjtV+9FTFYtpBcX33XdfKPhr3rw5O3bs4KOPPuLo0aMULFiQhg0b0rdvX2rUqJGh51WjRg3ee+89Ro4cyfDhwylQoADXX389Dz74YKp9hw0bRunSpZk2bRpz5syhdOnSPPbYY/Tu3TtDj9WmTRvGjBnDmDFjePbZZ4mIiODuu+/m3nvvTbHfVVddxfz58/n1119JSkoiKiqKG264gfvuu49ixYql2HfTpk2sX78+zddfRERERORSZdgZvcxRRERERERE5BJ07Ngx2rZty8MPP8wNN9yQ28OR//f888/zxx9/MG3aNFX8iYiIiIj8vwv/klMRERERERGRXFSwYEHuvPNOJk6cmGr9Q8kdhw8f5osvvmDAgAEK/URERERE/kUVfyIiIiIiIiIiIiIiIiJ5gCr+RERERERERERERERERPIABX8iIiIiIiIiIiIiIiIieYCCPxEREREREREREREREZE8QMGfiIiIiIiIiIiIiIiISB6g4E9EREREREREREREREQkD3Dm9gAuRfv3H8vtIVxUTNMgIqIAhw4dx7Ls3B6O5EGaY5LdNMckJ2ieSXbTHJOcoHkm2U1zTLKb5pjkBM0zyW6aY5LdNMfOTVRUwQztp4o/ueCZpoFhGJimkdtDkTxKc0yym+aY5ATNM8lummOSEzTPJLtpjkl20xyTnKB5JtlNc0yym+ZY9lLwJyIiIiIiIiIiIiIiIpIHKPgTERERERERERERERERyQMU/ImIiIiIiIiIiIiIiIjkAQr+RERERERERERERERERPKAXA/+fv/9d+655x5atGhBlSpVmDNnTorbbdvm9ddfp0WLFtSuXZvevXuzdevWVMf56aefuOGGG6hduzYNGzakX79+KW7fvXs3d911F3Xq1KFp06a8+OKL+P3+FPv89ttvXHvttdSsWZN27doxbdq0VI/z0Ucfcfnll1OrVi1uuOEGVq5cef4vgoiIiIiIiIiIiIiIiMh5yvXg78SJE1SpUoWnn346zdsnTJjA5MmTGTp0KJ999hn58uXjzjvvJDk5ObTP7NmzGTRoENdddx0zZ87kk08+oVOnTqHbA4EAd999Nz6fj08//ZQRI0Ywffp0Ro8eHdpnx44d3H333TRu3JiZM2dy22238cQTT/DLL7+E9vnmm28YPnw49957L9OnT6dq1arceeedHDx4MBteGREREREREREREREREZGMc+b2AFq3bk3r1q3TvM22bSZNmkTfvn1p27YtAC+99BLNmjVjzpw5dOzYEb/fz/PPP88jjzzCDTfcELpvxYoVQ/9esGABGzdu5L333qNYsWJUq1aNBx54gJEjR3Lffffhdrv59NNPiY6OZvDgwQBUqFCBP//8k/fff5+WLVsC8N5779G9e3e6desGwLBhw/jpp5+YOnUqd911V7a8PiIiIiIiIiIiIiIiIiIZkesVf+nZuXMn+/fvp1mzZqFtBQsWpE6dOixbtgyAtWvXsnfvXkzTpGvXrrRo0YI+ffqwfv360H2WL19O5cqVKVasWGhbixYtSExMZOPGjaF9mjZtmuLxW7RowfLlywHwer2sWbMmxVhM06RZs2ahsYiIiIiIiIiIiIiIiIjkllyv+EvP/v37AYiMjEyxPTIykgMHDgDBFp0AY8aMYfDgwZQpU4b33nuPW2+9ldmzZ1OkSBEOHDiQIvQDQl+feowz7ZOYmEhSUhJHjhwhEAikOZbNmzdn6nmZpoFpGpm6z6XM4TBT/C2S1TTHJLtpjklO0DyT7KY5JjlB80yym+aYZDfNMckJmmeS3TTHJLtpjmWvCzr4ywjLsgC45557aN++PQDDhw+nVatWfPfdd/To0SM3h5emiIgCGIaCv8wqVChfbg9B8jjNMclummOSEzTPJLtpjklO0DyT7KY5JtlNc0xyguaZZDfNMclummPZ44IO/qKiogA4ePAgxYsXD20/ePAgVatWTbFPhQoVQre73W5iYmL4559/gGDl3sqVK1Mc+1TF4Kn7FytWLLTt3/uEh4cTFhaGaZo4HA4OHjyYYp+DBw+mqhQ8m0OHjqviLxMcDpNChfJx9OhJAgErt4cjeZDmmGQ3zTHJCZpnkt00xyQnaJ5JdtMck+ymOSY5QfNMspvmmGQ3zbFzU7RogQztd0EHf9HR0URFRbFo0SKqVasGQGJiIitWrOCmm24CoGbNmrjdbrZs2UKDBg0A8Pl87Nq1i9KlSwMQHx/P22+/zcGDB0OtOhcuXEh4eDgVK1YM7fPzzz+nePyFCxcSHx8PBMPEGjVqsGjRItq2bQsEqw0XLVrELbfckqnnZVk2lmWfwytyaQsELPx+/RKQ7KM5JtlNc0xyguaZZDfNMckJmmeS3TTHJLtpjklO0DyT7KY5JtlNcyx75Hrwd/z4cbZv3x76eufOnaxbt47ChQtTunRpevXqxVtvvUXZsmWJjo7m9ddfp3jx4qHwLTw8nB49evDGG29QqlQpSpcuzcSJEwHo0KEDAC1atKBixYoMGjSIRx55hP379zNq1Ch69uyJ2+0GoEePHnz00Ue89NJLdOvWjcWLF/Ptt98ybty40Nhuv/12Hn30UWrWrEnt2rX54IMPOHnyJNddd11OvVwiIiIiIiIiIiIiIiIXleefH8q3334V+rpIkSJUrVqNe+7pz/r1f/HCC8PSvf/nn8+iZMlSzJo1na++msnWrZtxOByUKRND+/ZX0aXLdYSFhaV53/vuu4tKlarwwAMPpdj+zTdfMnr0K3z33U8AJCUl8f777/Djjz9w4MB+8ufPT1xceW688WZatrwsdKzly5cC4HK5KFy4CJUrV6Vjx860bn156LgZeT6lSpVOd59zlevB3+rVq+nVq1fo6+HDhwNw7bXXMmLECP73v/9x8uRJnnrqKY4ePUr9+vV555138Hg8ofsMGjQIp9PJoEGDSEpKok6dOnzwwQcULlwYAIfDwdtvv83QoUO58cYbyZcvH9deey39+/cPHSMmJoZx48YxfPhwJk2aRMmSJXnuuedo2bJlaJ+rr76aQ4cOMXr0aPbv30+1atV45513Mt3qU0RERERERERERERE5FLSuHEzHn/8KZxOE5/vBC+/PJJBgwbwySdTady4aWi/IUMGUa5cBfr0uTu0rUiRojz77FPMn/8jt912Jw8+OIgiRYqyceN6PvvsE0qWLE2rVped1/hefvkF1q5dzcCBjxAXV54jR46wevUKjhw5kmK/zp2vpU+fuwkEAuzbt4+ff57H008/zlVXdebRR4dwxRXtMvR8skuuB3+NGzfm77//PuPthmHwwAMP8MADD5xxH5fLxaOPPsqjjz56xn3KlCnDhAkTzjqWGTNmpLvPLbfckunWniIiIiIiIiIiIiIiIpcyt9tFZGQxnE6TokULcOutt3PPPXdy4sRJIiNPF1g5nU7CwsJSbJs79we+//5bhg8fGaq+AyhVqjQtWrTm+PHj5z2+X3/9mQceeJimTVuEjl21arVU+/17bMWLl6BmzVqULRvH8OHPcPnlbWnYsDEez+nqw7SeT3Yyc+RRRERERERERERERERERAguAzd79jdER8eEujem54cfviU2tmyK0O8UwzAIDw8/7zFFRESyaNGvnDiR+RDxqqs6UbBgIebPn3fe4zhfuV7xJyIiIiIXtwMHDIoVs3N7GCIiIiIiIiKXpL17DU6cyLnHy58fSpTI/HmAhQsX0K5dcHm1kydPUqxYMV58cRSmefYatZ07dxAbWzbTj5kZgwYN4ZlnnuTqq6+gYsXK1K5dh8suu4LatePPel/TNImJiWXPnt3ZOsaMUPAnIiIiIuds+XKTkSM9DB2aRMWKCv9EREREREREctKxY/Dww2HYOfiR3DRtxo5NomDBzN2vbt36PPzwYzgcBuDj/fcn8fDD/Zkw4QNKliyV7n3tDDzBFSuW8fDD/UNfP/LI41x55VUZHl98fD0++2wma9asYtWqFfz55+98/vmn3Hnn3fTu3ees97dtG8MwMvx42UXBn4iIiIikYNtw8mSwkm/jRpMtW0xatgxQubKVat/vvgu+nfzxRycVK/pyeqgiIiIiIiIil7SCBWHkyKQcr/jLbOgHkC9fPqKjY0Jr/D3++FO0bduKWbOmc9dd/dK9b0xMLNu2bU13n6pVq/Heex+Hvo6IiACgQIECHD+emGr/xMRjFCiQskWo0+mkTp261KlTl1tu6c3777/D+++/Q8+et+Fyuc742IFAgJ07d1CtWvV0x5gTFPyJiIiICABJSfD88x62bTOwrOAVaqZpky8frF5tMmJEMh7P6f3/+cdg9WoHZctaLFrkoGdPHwUK5NLgRURERERERC5R59J280JgGAaGYZKcnHzWfdu168DTTz/OL7/8lGqdP9u2OX78OOHh4URHx6S6b2xsHEuWLE61/e+//yImJjbdxy1XrjyBQACvNznd4O/bb7/i2LGjXHbZFWd9LtlNwZ+IiIiIADBnjpNt2wx69vRRuDAUKWITF2eRkGAweLCHGTOc3HijP8X+4eE2Dzzg5eGHPSxa5KBt20AuPgMRERERERERuVB5vT4OHjyA02ly6NAeJk58j5MnT9C8ecuz3vfyy9vx88/zGDp0CLfddieNGjWhSJGibNq0kc8++5hu3W6kVavL0rxv167dmDr1M0aNeplOnbridrtYuHABc+bM5sUXXwvtd999d9G2bXuqVq1O4cKF2bp1M+PGjaVevQYpKgOTkpI4ePAAgUCAffv28fPP8/jss4/p2vV66tVrcN6v0/lS8CciIiIiJCXB1187ad06QPv2KcO7kiVtrrnGz/TpTpo3DxAdbZOUBD//7KBtWz/Fi9vEx1v8+KOTK64IcAG0sxcRERERERGRC8xvvy3kmms6AMH2m2XLxvHssyMyFJYZhsHTTz/PrFnT+PrrWUya9C4Oh4Po6Fg6dOhI48ZNznjfMmWiGTt2POPHv8mAAf3w+33Exsbx7LMv0qRJs9B+jRs35bvvvmb8+DdJSkqiWLFiNGvWkttvT7m+35dfTufLL6fjcrkoVKgwVapUY9iw4bRu3eYcX5msZdgZWRFRstT+/cdyewgXlVP9fg8fPo7fn3ptIZHzpTkm2U1zTHLC+c6zr792MmWKk1deSSYqKvXbQ58PHnvMQ1gYXHmlnz17DL780sVrryVRrJjN8uUmI0d6eOaZJMqX19vLvEi/yyQnaJ5JdtMck+ymOSY5QfNMspvmmGQ3zbFzExWVsYUVzWweh4iIiIhc4JKS4KuvnLRqFUgz9ANwueCuu3ycPAnjx7uZNctFgwYBihUL7l+7tkVEhM20aS58vpwcvYiIiIiIiIiInKJWnyIiIiKXMJ8PPv7YxfHj0KWLP919K1e2eOWVZJKTYc8eIxT6AZgm3HKLlzffdPPMMx4GDPASGanKPxERERERERGRnKSKPxEREZFL1MaNBkOGeJg/30HPnj6KF89YUOfxQNmyNgUKpNzeqJHFU08lc/Ro8Lg//ujAn36WKCIiIiIiIiIiWUjBn4iIiMglaM0ak2ee8eDxwLPPJtO+fSBLjlu+vM1zzyVRs2aA995z8/DDHhYvdmTJsUVEREREREREJH0K/kRERETyuM2bDT7+2MnBgwYAhw/DmDFuqlWzGDo0mdjYrG3JWbAg3Hefj+HDk4iNtRk71s3KlXrbKSIiIiIiIiKS3bTGn4iIiEgedeCAwaefOlm82Ilp2vz8s5M77vAye7YThwPuvdeLIxuL8aKjbQYM8PLKK27GjHHz7LPJlCihdf9ERERERERERLKLLr0WERERuUD5/fDll062bDHO6b7PP+/mr78c3HmnlzFjkqhSxWL0aA8bNpj07++lUKFsGPR/mCb06+elUCGbV191s3u3gX2W7O/IEThxIvvHJiIiIiIiIiKS16jiT0REROQC9c03Tj77zMWUKS5q1w5www0+ypXLWMXcTz85OHDAZMSIJMqUCd5nwAAvv/ziwO2GypWt7Bx6CgUKwMCBXp55xsOgQWGEh9vUrx/gttt8uN0p9/X54OmnPQAMHuylZElVCIqIiIiIiIiIZJQq/kRERERyyBdfODO81t3+/QbTpztp397Pvfd62b/fYORID4HA2e+bnAzTp7to3twfCv0ADANatQrQpEkGDpLFypSxGTUqiUcfTebyy/0sXOhgzBg3fn/K/ebPd3DwoInDAcOGec6p2lFERERERERE5FKl4E9EREQkBxw9CjNmuHj9dTc7d54Os5YtM9m8OXW4NXmyi/BwuP56H02bBujXz8uRIwarVp397dv33zs5dgyuvdZ/1n1zUr58UKuWRffufgYM8LJihcnbb7uw/r/40OuFmTNdNG3qZ+jQZKKibJ5/3sPevQr/REREREREREQyQsGfiIiISA5Yt84BQJEiNq+95iYhASZOdPHKKx6GDvXw9ddObBssC37+2cHSpQ5uucVHvnzB+8fF2URHW/z8c/qd2o8fh6++ctKmTYASJS7cNpl16ljce6+X335z8uqrbo4ehXnzHCQkGFx7rZ+CBeHxx5PJnx+mTHHl9nBFRERERERERC4KWuNPREREJAesW2dSooTFoEFennzSw8CBYQDccYeXffsMPvnExeLFDvbvN0hMNKhXL0CjRqdbchoGtGwZ4PPPnSQmQnh46sc4cACeey7YPrNrV19OPbVz1qiRxUMPJTNunJtHHw2+Hi1a+ClVKhhYhoVB9+4+3n7bzfr1Zo6uSygiIiIiIiIicjFSxZ+IiIhIDli71qRaNYsSJWzuv99LpUoWQ4cmc/nlAXr08PPww8nky2dz2WV+hg5NYuBAL8Z/Olw2b+7HsuC33xypjr9hg8GDD8KxY/Dkk8kULZpDT+w8xcdbDB+eRLlyFklJ0LVryvakzZsHiIuz+OgjF/aFW8AoIiIiIiIiInJBUMWfiIiISDY7cgR27zZDoVatWha1anlT7BMfbxEf703r7iFFigTv+/PPTq644nQ14LFjMGKEm4oV4d57veTPf3ElZEWKwCOPeDlxAgoUSHmbYcBNN/kYPtzDb785aNIkkOYxfD5wOMDUZW0iIiIiIiIicglT8CciIiKSxWwbXnvNzVVX+alWzQqt71etWtqhVWa0bBlgzBg3u3cblC4dDPhmzgxWww0ZElwj0O8/y0EuQIaROvQ7pUYNi3r1Anz0kYtatQKp9tu92+CZZzwkJUHp0jYVKlh07OinZEkb24alS02WLHEQ+P+Xv25di+bNz/97ISIiIiIiIiJyodE10SIiIiJZ7OhRWLrUwTvvuPB6g20+S5a0sqT9Zr16ASIibN56y01SEuzda/DDDw46d/ZTuPD5H/9C1auXjxMn4NNPXSm2e73wxhtuCha0uekmHxUqWCxb5mDQIA9jx7oYMsTDa6952LnT5OhRg337TN56y81777kuyoBURERERERERCQ9qvgTERERyWKHDwcX59u71+Trr52h9f2ygtsNDz6YzLPPehgzxo3bDQULwtVX5+0KtmLFgsHe+++7adIkQI0awddz8mQXe/YYDBuWTGysDQTwen3Mm+fgu++cFC9uM2RIcorX/8cfHXzwgYudOw0GD/bicp3hQUVERERERERELjIK/kRERESyWEJCMPhr3tzPjBlOAgGD66/PuvKyuDibBx7wMnKkG8sy6NPHi8eTZYe/YF1xRYDFiwO8846L5s0D7NtnsHChkzvu8P5/6BfkdkP79gHat087DL388gCRkTYvv+xh/XozFCKKiIiIiIiIiFzs1OpTREREJIsdPmxgGMH2lEWKBLdlxfp+/1a7tsVdd/lo3DhAq1Z5u9rvFMOAPn18AMyf7+Sff0yuucZHmzaZf/41a1o4nTY7dhhZPUwRERERERERkVyjij8RERGRLJaQYFCwoE2BAnD33V6WLzezZf29Fi0CtGhxaYR+p5QsafPaa8nnfRyHA2JibLZvN4FL6zUUERERERERkbxLwZ+IiIhIFjt82KBo0WDryerVLapXVyvJC1FMjMWOHWqAISIiIiIiIiJ5h850iIiIiGSxhASDIkXss+8ouSo21mLnToPAeRb82TYcPgzr15skJmbN2EREREREREREzoUq/kRERESy2OHDBmXLqsrvQhcTY+PzGezZY1CmzLkFtWvWmIwa5ebkyeBagZdd5g+tQygiIiIiIiIiktNU8SciIiKSxVTxd3E4Fc6ea7tPy4IPP3RRqpTNwIHJ1KoVYO9eIyuHKCIiIiIiIiKSKQr+RERERLKQZcGRI4TW+JMLV3h48Pu0bdu5hXULFjjYscOkVy8v9etblC1rcfCggj8RERERERERyT0K/kRERESy0NGjYFmq+LtYxMRY51Tx5/XCF1+4aNgwQMWKwe91ZKTNwYMGtr71IiIiIiIiIpJLFPyJiIiIZKGEhGDFlyr+Lg6xsRbbt2f8LbFtB8PdL790kpAA3bufXs8vMtImEDBISMj6cYqIiIiIiIiIZIQztwcgIiIikpccPqzg72JStqzNV18ZJCYGW3+mZ/FiB2+95SIQCH6P27XzU6rU6e9zZGTw3wcPGvr+i4iIiIiIiEiuUPAnIiIikoUOHzYwDChUKLdHIhkRG2sBsH27SfXqVrr7LlrkoHRpm27dvBQtalO+fMpw71Twd+CAScWKgewZsIiIiIiIiIhIOtTqU0RERCQLHTliUKiQjcOR2yORjChZ0sbptNmxw0h3P78f1qwxadIkQIMGFhUq2Bj/uUuBAuDxBNf5ExERERERERHJDQr+RERERLLQoUNq83gxcTggOtrm778d2Ol82zZsMElKMqhV68yVfIYRrPpT8CciIiIiIiIiuUXBn4iIiFyyEhKClVynHDkC06Y5+euvc3+LlJBgUKSIgr+LSePGAZYscTBihJt//kk7tFu1yiQ83KZcufS/t8WK2Rw4oOBPRERERERERHKH1vgTERGRS9LRozBwYBhuNzRoECAsDH780YHfbzBjhs3NN/to3z6Qqp3j2SQkGMTFpb9WnFxYOnf2U7asxfvvuxg82EP9+hZNm/qpU8fC7Q7us2qVg5o1zz4fIiNtNm/WtXUiIiIiIiIikjt0VkJEREQuSQsXOrAsaNPGz19/mfz8s4OOHf2MHXuSDh38fPihm3HjXOm2f0zL4cOq+LsY1a5tMWJEMt27+9m71+D11z0MGeLh+PFgSLx1q0nt2mcPdIsVU6tPEREREREREck9qvgTERGRS9KCBU7q1rXo0cPPjTcG+32equa6+WY/ZcvavP22mzJlbDp39qdzpNMsC44c0Rp/Fyu3Gzp29NOxo58tWwyGD/cwbpybxo0D2Dbpru93SmSkTWKiQVIShIXlwKBFRERERERERP5FwZ+IiIhccnbuNNi61aRr12SANNs3Nm8eYMcOH59/7qRGjQDlytnMm+dg1iwnRYtCbKxF8+YBKlc+XQV29CjYNqr4ywPKlbO55x4vr77qYcMGk5gYi6JFz36/yMjg9/7QIYPSpVPOA8sCU/02RERERERERCQb6dSDiIiIXHIWLHAQHm4TH59+68brrw9W/o0d6+bNN128+66bChVsIiMtVq0yGTHCzbZtp1PDw4eD/1bwlzfUq2fRpYuPY8cMatc+e7UfBFt9Aqnafe7da9C3bxhz5jiyfJwiIiIiIiIiIqco+BMREZE8xeeDX35x8M8/weDl+HGYPt3Jo496+PZbJ34//Pqrk8aNAzjP0vvA6YR+/bwkJBgsXeqgXz8v99/v5b77fAwfnkypUjavvebm6NHg/gkJwcdUq8+84/rr/fTo4ePKKzMW/BUtamMYcOBAyuDvq6+cnDhh8MEHbn77TeGfiIiIiIiIiGQPtfoUERGRPGXuXAcffugGoGRJi6NHDbxeqF7d4uOPXfz4o4PDhw1atszYun2lStk8+WQy+fJBiRKnAz2PBwYO9PLkkx5Gj3YzYICXw4cNDAMKFcqWpya5wDShU6eMzRUIhsVFitgpgr+EhGAY3a2bj507Dd5800V4uE2NGulXnIqIiIiIiIiIZJaCPxEREclVa9eabN9uEBlpU6KETUyMneaaexkRCMB33zlp1ChA8+Z+li1zkD+/zVVX+SlaFNatMxk/3kV0tEWFChmvyouLS3vfYsVsBgzwMmKEm/vuCyMy0qZwYRuHCrouacWK2Slafc6e7cThgLZt/Xg8cOyYwfDhHqpUCdC6dYBGjQKEheXigEVEREREREQkz1DwJyIiIrnCsmDaNCczZrhwOGwCgWBQ8uijydSqFayEsu3geny1agUoUuTsx1yyxMGBAyYDByZRtqxN/fopK6qqVbN46aVkfD7OOVz8rypVLEaNSuKXX5z89JOD8uVVxXWpi4y0QsHfiRMwd66TK67wEx4evP2RR7z8/ruD+fMdjB/v5oMPbJo0CXDllcE1JUVEREREREREzpWCPxEREclxJ0/CG2+4WbXKwQ03+OjSxc+xYzBsmIfFix2h4G/LFoNx49xUqRJgyBAvZjqrE9t2cB21mjUD6YYnLlfwT1YqXDjYDjIzLSEl7ypWzGbz5uBk/e47J8nJ0KHD6bnhdELTpgGaNg2wf7/BL784+OknJ3/+6eCtt5KyLJQWERERERERkUtPOqfPRERERDInMTHYuvO/bDvlv995x83ff5sMGpTMNdf4Q+viNWwY4M8/Hfj/PyNZuNBJWJjN+vUOvvwy/euVVq822bbNVPgmuS4yMtjqc9IkF9OmubjqKj8REWnvGxVlc911fm65xUtiosHx4zk7VhERERERERHJWxT8iYiISJb54AMXw4d72Lr1dMnSvHkO7r47jEWLggvfzZ3r4LffHPzvf75QZd8pjRoFSEw0WLfOxLJg8WIHrVoF6NzZx9SpTjZtSrsUyu+HadNclC1rUaOGWm1K7oqMDLaunTPHQe/eXm688exhdEREMB0/cEDlfiIiIiIiIiJy7hT8iYiISJZISAiusWeaNh984Ma2Yf9+gw8/dJE/v83YsW7GjnUxebKLK67w06RJINUxypWzKVbM4vffHaxZY5KQYNC8uZ/rrguuffb66x42bkwdjEye7GLTJoNbbvGpTaLkuooVLeLjAzzxhJe2bQMZmpORkcHg7/BhTWAREREREREROXcK/kREROScbNli8Mcfp99KzJvnxOGA++7zsmGDyS+/OJg40UWBAvDCC8ncfruXJUscxMTY3HKLL81jGkaw6u/33x0sWOCgRAmL8uVtnE4YMMBL0aI2zzzjYebM4LppAN9/72DuXCe33+6jWjVV+0nuK1QIHn7YS+XKGZ+PhQuDaQZbhIqIiIiIiIiInKv0F8sRERERSUNSErz2mofDhw0efDCZWrUs5s510rx5gIYNLZo08fPuuy78foNHHkkmf3644ooANWtahIfbuFxnPnajRgG++cbFwoVOrr32dAVfZKTNk08mM22aky++cPH55y7Cw22OHzfo0MFPmzapKwhFLhamCUWLouBPRERERERERM6Lgj8RERE5q0WLHBw9CldeGWxbOGOGk2PHoFq1AGPHuunY0U9CgkG7dsG1zG6+2cfy5Q6aNPFTp87pqqcSJeyzPlaFCjYRETaHDhk0b54yzHM6oXt3P82aBdi61eTgQQOXCzp0OPsaaiIXulPzXkRERERERETkXCn4ExERkbOaNcvJjh0me/f6ufxyP9984+Taa/20b+9n6FAPU6e6qFo1QGxsMNiLiIBXX00iPDzzj2UY0KaNnw0bzDMGhdHRNtHRqvCTvCUy0lLwJyIiIiIiIiLnRcGfiIiIpMvrhV27DGrWDPDDD05++cVBVJRNx45+3G546CEvL7/spkuXlFV3hQqd+2Nee60q+OTSExFhs2WLluAWERERERERkXOnMwsiIiKSrp07DSzL4IYbfNx7rxfDgN69fbjdwdtLlLAZOTKZ2rWt9A8kIumKjLQ5eNDAPntHXBERERERERGRNKniT0RERNK1dauJadrExNhUqBCgcePgOn8ikrUiImz8foNjx86vYlZERERERERELl2q+BMREZF0bdliUqaMHarwU+gnkj0iI4OlfgcP6odMRERERERERM6Ngj8RERFJ19atJnFxauMpkt0iIoLB36FDCv5ERERERERE5Nwo+BMREZEz8vthxw5DwZ9IDihcGBwOW8GfiIiIiIiIiJwzBX8iIiJyRrt3G/j9BnFxdm4PRSTPM4xg1Z9afYqIiIiIiIjIuVLwJyIiIme0dauJYUBsrCr+RHKCgj8REREREREROR8K/kREROSMtm41KVHCIl++3B6JyKUhIkKtPkVERERERETk3Cn4ExERkTPaulXr+4nkpMhIBX8iIiIiIiIicu4U/ImIiEiabBu2bTO1vp9IDjpV8Wfrx05EREREREREzoEztwcgIiIiuW/9epNJk1w0bhygdWs/pgm//eYgOVkVfyI5KTLSJhAwOHIEihTJ7dGIiIiIiIiIyMVGwZ+IiIgwf76DvXsNpk1z8sUXTiwrWHFUtWqAihUV/InklIiIYKnfoUMGRYqo7E9EREREREREMkfBn4iIyCXOtmHZMgeXX+6nc2c/ixc7cDggPj5A0aK5PTqRS0tkZDDsO3jQoHx5BX8iIiIiIiIikjkK/kRERC4Btg3Tpztp2TJAVFTKMGHTJoOjRw3q1bMID4e2bQO5NEoRKVgQnM7gOn8iIiIiIiIiIpll5vYAREREJPvt22cwbZqLyZNdqW5butRBeLhNpUpq6SmS2wwDypa1mT/fid+f26MRERERERERkYuNgj8REZFLwLZtweqhpUsdrF+f8r//ZcscxMcHMPWuQOSCcPvtXnbuNJg+Xc05RERERERERCRzdIpPRETkErB9u0nBgjZly1p88okL+/+7fe7fb7Bjh0nduqr2E7lQxMXZXHedny+/dLJpk1p+ioiIiIiIiEjGKfgTERG5BGzfblK2rEWPHj42bDBZujT4FmDpUhOHw6Z2ba3rJ3Ih6dzZT9myNm+/7SagH08RERERERERySAFfyIiIpeAbdtM4uIsatWyqFkzwLhxbl591c0PPzipVs0iX77cHqGI/JvDAbfd5uWff0z++ktv2UVEREREREQkY3QWQUREJI9LTISDBw3Klg3297zrLi9t2vjxesHrNWjdWuVEIheiChVsIiJs/vzTkdtDEREREREREZGLhDO3ByAiIiLZa/v24HU+sbHBdfwiIuCmm/y5OSQRyQDDgPr1A/zxh4Nbb/VhaLk/ERERERERETkLVfyJiIjkcdu2mbhcNiVL2rk9FBHJpAYNAhw6ZLBli1I/ERERERERETk7BX8iIiJ53PbtBtHRNg51CxS56FSpYlGggNp9ioiIiIiIiEjGKPgTERHJ47ZvNylb1srtYYjIOXA6IT4+oOBPRERERERERDIk14O/33//nXvuuYcWLVpQpUoV5syZk+J227Z5/fXXadGiBbVr16Z3795s3bo1xT6XX345VapUSfFn/PjxKfb566+/uPnmm6lVqxatW7dmwoQJqcby7bff0qFDB2rVqkXnzp2ZP39+psciIiJyIfH7YedOQ8GfyEWsQYMAO3ea7N2rdp8iIiIiIiIikr5cD/5OnDhBlSpVePrpp9O8fcKECUyePJmhQ4fy2WefkS9fPu68806Sk5NT7Ne/f38WLFgQ+nPLLbeEbktMTOTOO++kdOnSTJs2jUGDBjFmzBimTJkS2mfp0qU89NBDXH/99cyYMYMrrriCe++9l/Xr12d6LCIiIheK3bsNAgGDsmW1vp/IxapWLQuXy2b2bCc+X26PRkREREREREQuZLke/LVu3ZqBAwfSrl27VLfZts2kSZPo27cvbdu2pWrVqrz00kvs27cvVWVggQIFiIqKCv3Jnz9/6LZZs2bh8/l44YUXqFSpEh07duTWW2/lvffeC+0zadIkWrZsSZ8+fahQoQIDBgygevXqfPjhh5kei4iIyIVi27bgf/UxMar4E7lYhYVB+/Z+vv/eyYABYXz1lRNbWb6IiIiIiIiIpMGZ2wNIz86dO9m/fz/NmjULbStYsCB16tRh2bJldOzYMbR9woQJvPXWW5QqVYpOnTrRu3dvnM7g01u+fDkNGjTA7XaH9m/RogUTJkzgyJEjFC5cmOXLl9O7d+8Uj9+iRYtQqJeZsZyNaRqYplo1ZZTDYab4WySraY5JdsutObZ1q8GPP7ooWdKmYEHN77xOv8vytltusWjTxstXXzmYMsVFdDQ0aJCzgb7mmOQEzTPJbppjkt00xyQnaJ5JdtMck+ymOZa9Lujgb//+/QBERkam2B4ZGcmBAwdCX996661Ur16dwoULs2zZMl599VX279/PY489BsCBAweIjo5OcYxixYqFbitcuDAHDhwIbUvrcTI6loyIiCiAYSj4y6xChfLl9hAkj9Mck+yWU3MsKQlGjYJff4UyZWDgQCha1JUjjy25T7/L8q6iRaFmTfjnH1iyxEkaDTNyhOaY5ATNM8lummOS3TTHJCdonkl20xyT7KY5lj0u6OAvo26//fbQv6tWrYrL5eLpp5/moYceSlHld6E4dOi4Kv4yweEwKVQoH0ePniQQUKs6yXqaY5LdcnqOTZrk5NdfHdx5p48WLSwcDjh8ONsfVnKZfpddOpo2dTB5spNt25IpVCjnHldzTHKC5plkN80xyW6aY5ITNM8ku2mOSXbTHDs3RYsWyNB+F3TwFxUVBcDBgwcpXrx4aPvBgwepWrXqGe9Xp04d/H4/O3fupHz58hQrVixVVd6pr09V+aW1z8GDB0O3n+tY0mJZNpalhVkyKxCw8Pv1S0Cyj+aYZLecmGObNhl8+62D7t19NG/ux7bB78/Wh5QLjH6X5X2NG1tMmuTgp59Mrr4653/ANcckJ2ieSXbTHJPspjkmOUHzTLKb5phkN82x7HFBN1CNjo4mKiqKRYsWhbYlJiayYsUK6tate8b7rVu3DtM0Q2054+Pj+eOPP/D5fKF9Fi5cSLly5ShcuHBon8WLF6c4zsKFC4mPjz+vsYiIiOQUvx/eecdNbKyVK2GAiOSM8HCoX9/i558d2LqWTERERERERET+Jdcr/o4fP8727dtDX+/cuZN169ZRuHBhSpcuTa9evXjrrbcoW7Ys0dHRvP766xQvXpy2bdsCsGzZMlasWEGTJk0oUKAAy5YtY/jw4XTp0iUU6nXu3JmxY8cyZMgQ/ve//7FhwwYmTZoUWgMQoFevXtx66628++67tG7dmm+++YbVq1fzzDPPAGAYxlnHIiIikpNsG77/3sGMGS7Cw23CwmDXLoNnnknG4cjt0YlIdmrd2s/LL3vYssWgfHmlfyIiIiIiIiISlOvB3+rVq+nVq1fo6+HDhwNw7bXXMmLECP73v/9x8uRJnnrqKY4ePUr9+vV555138Hg8ALjdbr755hvGjBmD1+slOjqa3r17p1j3r2DBgkycOJFnnnmG6667jqJFi9KvXz9uvPHG0D716tVj5MiRjBo1ildffZW4uDjGjh1L5cqVQ/ucbSwiIiI5JSkJJk50sWiRk1at/OTLB/v3G7Ro4ScuTiGASF5Xq5ZFkSI2c+c6KV/ed/Y7iIiIiIiIiMglwbBtNQjKafv3H8vtIVxUnE6TokULcPjwcfX7lWyhOSbZLavn2N69BqNGudm3z+B///PRpEkgC0YpFzv9Lrv0zJ7tYPJkN336eLnssuz/PaA5JjlB80yym+aYZDfNMckJmmeS3TTHJLtpjp2bqKiCGdov1yv+REREJOOWLjV5+203hQrZDBuWTHS0rt8RuVRdeWWAXbv8vPuui4gIm9q19WFJRERERERE5FJn5vYAREREJGOWLjV59VUP1apZCv1EBMOA227zUbu2xeuvB6uARUREREREROTSpuBPRETkIvHlly6qVg0wYICXAgVyezQiciFwOKBfPy8+H6xerbf2IiIiIiIiIpc6nR2QC57fnz3HtW04eTJ7ji0iktW2bDHYsMGkfXs/hop6RORf8ueHEiVsduzQW3vJvIULHRw+nNujEBERERERkayiNf7kgjd4sJumTeG669Lf77vvHBQtCo0bB1Ld5vfDhg0m27cb7Nxpsnu3wa5dJomJBm3a+LnjDp9OpItIrvP7Ye5cB40aBShaNOVt33/vJDLSpl49reElIqnFxNjs2KE3M5I5tg1vveWmc2cf3btn09V2IiIiIiIikqMU/MkFr0OHAJMmuXC7HVx1VdonvL/91slHH7lwOGyioizKlw+ue7V5s8H33ztZtszB8eMGDodN6dI2ZcpY1KoVPLkxdaoLw4Dbb1f4JyK5x+uFN95ws2yZg4ULLZ58Mhnn//8vffQoLFrkoFs3Pw5H7o5TRC5MsbEW337rxLbR+xnJsOPHg+Hf5s2qFhUREREREckrFPzJBa9t2wDJyfDhh048HoumTQPky3f69sWLHXz0kYurrvLz118mY8a4efbZZJYtczBhgotixWzatvXToEGA2Fg71UnzokVt3nnHzdGjBqVKWRgG1K1rUamSqmpEJH22DT4fuN3ndn+/H5KTg3/Gj3fz998mN97o44svnEyZ4qJnTx8A8+Y5MQxo00bVGCKStpgYi+PHDQ4dMoiMtHN7OHKROH48mBJv3mwqNL6Abd9uEBNjp/r+JCcHu5oYBtSooc8uIiIiIiISpOBPLgo9e8KOHQHefdfNu+9CRIRNgQLBk1q7dxs0b+7n5pt97Ntn8OSTHp5+2sOePSYtW/q5805fqGomLa1bBzAMLzNnOtm+3UFyssGXXxq0beunSxcfS5Y4mDvXScmSNnfd5SU8PIeetMhF4sABg5UrTVavdlC9eoArrgjk+olDy4JduwxKlbLT/fk/H34/jB3rZtkyk8aNg8+7UiUrw8991SqTUaPcJCcH7+Dx2DzyiJfq1S1cLpsPP3RToIDN3r0GS5Y4aNYsoN8/InJGMTHB90U7dyr4k4xLTAz+feKEwZ49wf835cKyaZPB00+H0b9/Mo0aBcM9rxdGj3azapVJIGBgGDBoUDK1ain8ExERERERBX9ykTAMuPtuP23b+ti502TXLiN0srxJE5uOHf0YBpQoYfO//3kZM8bNjTf66NTJn6GT8K1aBWjVKrg2oGXB7NlOPv/cyQ8/ODFNm/r1LdatM3nqKQ/9+nnZs8fkl18cFCtm06ePWoTKpWv+fAcTJrgxTZvoaJslS9xs2+bnttt8eL2wYoWDIkVsqlXLmRNRe/cG2/suXuzgyBGDmjUDPPCAl3z5gic3Z8xwcehQ8Ae2QAGbFi0CVK4cHNuOHQbr15u4XJA/v03x4jYxMTamGTzp9vXXLpKS4Oqr/VSubIVOuLVrF2DpUpNff3VSrJhFgwYW1asHcLmCYypZ0qZUqZTj3L7dYPRoN5UqWbRpE8DlCr5+xYsHT7i2bx/g778DfPGFi9KlLdq393P11ar2E5Ezi4qyCQuz2b7dpE4dnfyXjElMPP0mdtMmk1KlUq+VLblr2bJgu5Jvv3XRqFEyAD//7GDFCgc33+yjRo0An37qYswYN888k0yJEgpvRUREREQudQr+5KJhGBAXZxMXl/4JiYYNLd55Jyl00j2zTBOuuspPvXoBli83qV/folgxm337DEaNcjN0aBgA5ctbzJ/voHJli9atdZJELj3HjsHHH7to0sTP7bf7KFAgGAS++66LtWtNDh408PuDJxSbNfNzyy0+ChVKeYyEBChcOGtai23fbjB8uAfDgGbNAsTGWkye7OK55zxceaWfKVNc+P3Bn12ArVtN5s1zUqaMhd8Pe/eamKaNZZ0ejMdjU6yYza5dJiVKWOTLByNGeChY0CYpCR580EudOhY9e8Lq1SZ//OFg8WIH332X8r/XUqVsGjeGEiVMIiJg3Dg3xYvboVDyvwwD7r3Xy6FDRigMFBFJj2FAdLTNjh26Gkky7lTwFxFhs3mzSYsWek97oVm1ykHhwjYbNphs3mwQG2vz1VdOGjf2c9VVwYuC+vXz8vTTHkaNcnPzzT6SkiA8nBy78EpERERERC4sCv4kTzrX0O/fSpSwad/+9MmP4sVtnnoqmaVLHVSqZBEVZTNunIvJk11Urx78WuRS8tlnLmwbevUKhn4QbJ1bvLjNd985ufzyAI0bB1i71uTjj1088oiD+PgANWpYeL0wf76TLVtMoqMtunb107jxubcI3brVYMQID5GRNo89lhxqiRkXZ/HSSx4mTHBTr16A22/3UrRo8DbbDoZ18+c7CAsLPo9T6+OcOAG7dpls3Giyc6dBt24+GjQItvFcscLkxx+dtG/vD+1vGFCrlkWtWha9e/s4dMjAsoKPsW2bwdq1TlasgG3bXFhW8ATrww8npxn6neJ0otBPRDIlJsZi40Yzt4chF5HERHA6bapWDWjuXIASE4PrL95+u5dZs5x8952TmjUtDhwweeghb2i/8HAYMMDL0KEeXnzRE9o+fHhSqA2wiIiIiIhcOhT8iWRCWFiwkuiUW27xsXatg3HjXAwZ4k0ztEhMhL//NomPt3A4cnCwItlo0yaDn35ycuut3lRVfNWqWVSrdvpkVKtWAeLjA3zzjZPVqx0sXOjEMGzq1LHo08fL4sUOxoxx8/nnFg0bBqhXz+LAAYOlS0327jWpXj1AfLzFsWOwfLmD9etNrP9cwJ6QYFCmjM2jjyanWAcvNtbm2WeT2LnTpGbNlOvv/Tus+69ChaBQISvNK+Xj4y3i472ptv/7uP9eX6t4cZumTf0ULephz55ktm0LtvTUen0iktViYy1+/tmB30+2rW8qeUtiokF4OFSoYPHbbw58vqy5gE6yxurVDmwb6tSxSE4O8MknTtavN6lXL5Aq0IuJsXn99SROnDBwu22GDvUwfbqL/v3P/J5FRERERETyJp0SEDkPBQrA3Xd7eeEFD99846Rjx9RrcL37rpslSxyUKBGsaqpdO4DbDR5PsK2oyMXm+PHgvI6Jsbjiioy1BCtUCHr08AN+EhODlXAFCwZvu+yyABs3Gsyb5+Snn5x89VUwnStXzqJkSYtffnHy9dfBbaVLW9SubeF2pzzZFRYG7dr5Q5WH/1a0KBQtemG0uvJ4oHx5XXkvItkjJsYmEDD45x9DVT6SIcHgz6ZiRYtAwGDHDkP/T+WyhAQoUiT475UrTcqUsYiMtGnd2s/UqU4OHDDp3z8pzfuGh0N4ePD716WLn/fec7NrV/DiKBERERERuXQo+BM5T9WrW3To4Oezz5zUrp3y6ts1a0yWLHFw7bU+tm0zGTfOHbqtQIHg+l7Vq18YgYRcGj75xMmJEwZt2vjP6cTe4cPw0kseDh40GDw4+ZyqWNOqdKtY0aZiRR933OFjyxaDiAibiIjgbbbtY+tWg/z5gy14RUQkbTExwfcUO3aYxMRorTY5u8TEYFAUG2vjcNhs2mRSvrzmTm757TcHb7zh5t57vTRpEmDlSgdNmwa/H/nzQ+fOfvbsyVg426pVgJkzbaZPd3Lffb4z7nf0KKm6N4iIiIiIyMVNwZ9IFuje3cfKlSZvv+1m2LBknE4IBGDyZBcVK1pcd50fw4CdOw327jXweg1++snByy+7GTjQS+3aCv8k++3fb/D11y7CwmzmzXMSE2NRvbr1/1f5E1rPzukMnlwqXz4Yap9qF7dtm8Frr7kJBAyefDI5W6pJHI5gCPhvhgHlyinwExE5mwIFgmuIbt9u0KxZbo9GLgbHjwdbfbpcwfbYGzeatGun4C+3zJ3rwDRtxo934fMFW5nXrn36+3HNNam7i5yJ0wlduvh4/303117rT7Pqb9Mmg6FDwxg4MJl69fR5REREREQkr1DwJ5IF3G7o29fL0097mDjRRbNmAbZsMdm1y2TYsKTQumLR0TbR0cEP3fXrBxg92s0rr7hp0yaAx2NjGMHgwzSDa49VrqwP4JJ1fv7ZQViYzejRSfz9t8miRQ6WLzeZPTv4X0HJkhZly9rYdrCd52efOfn1Vwc9e/r44w8Hc+c6iY62ePjh5BRr2ImIyIUjNtZixw71EpeMOXbMoGzZ4PvNChUsVq/W3Mkte/carF3r4M47vcyb52T8eDcul02VKuf+eaBVqwCzZtm8+66Lxx7zplr7c/ZsJ7YNU6a4iI9PvqCWIUhICLZyDwvL7ZGIiIiIiFx8FPyJZJFy5Wx69vTx6acufvkl+KPVuvWZ2ym63TBggJcPPnCxZo2JZfH/fwySk+G772DkyCQKF87JZyF5lW3DL784aNIkQP78ULeuRd26wRNJx44Fq+r+24Jz61aDCRPcjBjhISzM5qabfFx5pT/VSSMREblwREdbLFqkX9SSMSdOnF4TrlIlizlznBw5gt5/5oJ58xzkz2/TvHmA+PgATz4ZRrlyFm732e97Ji4X3Huvl+efd/Peey769PGFLkg8ciTYWrRJEz+LFztZuNBBixbB6sLjxyEpycCyoGBBO8Phm23D6tUmRYuevtjxXD3/vIfq1S1uv/3MbUr/a9s2A9sOVj4XLEjouYqIiIiIXGp0VkAkC7VvH6BduwD79xv8849B1arpX6HrdMKdd6b+MJuYCA89FMZnn7n43/8y/mE3LbYd/BC8ebNJXJxFXJx9QV3NKzljzRqTAwdMWrdOPZ8KFkz7PnFxNsOGJbNihUmFChZFimTvGEVE5PyVKWNz8KBBUpIqZeTsjh0zKFAg+O8aNYKhz9q1p9eVk5zh98PPPztp3jyA2x28QHDEiKQsOXblyhZ33ulj/Hg3ZcrYXH11sF3oTz85MU3o3duHz2cwdaqTRo0CzJ7t5IsvnAQCwdQsPNzmsceSKVv2zEGe1wtz5zqZM8fB3r0mZctaPP988jmP+dAh+OcfE58v+FkmIwHe1q0GTz4Zhv3/w6xQwWLo0GSFfyIiIiJySVLwJ5LFTBNKlLApUeLcr3IND4cbbvDxwQdurrjizFWD6UlKghkznCxY4CQh4fQn3vBwm5YtA9x4o0+VW5eQ+fMdlCoVXM8vM5xOqF9fLWdFRC4WZcoEf2fv3m2c0/sHuXRYFpw4YYQq/ooUCVaMrlplKvjLYcuWmRw9atCmzek1/P7bieF8tGoVYPduH598Elw7sGNHP3PmBIPGU587HnssjIcfDuPwYYOrr/ZRo0bwd8nnn7sYPtxzxvDvr79M3nnHxb59Bo0bB2jRIsDUqS527TLSXFcwI/7+2wHAgQMme/YYlCp19uN8+qmLEiUs+vb1snGjyeTJbv7+2zzrhZgiIiIiInmRTvuLXKDatAkwd67FBx+46d/fC0D+/Db58p39vqtWmUyc6OLIEYMrrghQt26AChUstm41Wb7c5NtvnWzbZtC/v5djxwxmzHDy118OTDNYDWiawbUGS5e2uf9+r66UvcglJsLvvzu4/nq/vpciInncqRPku3eblC+v8EbO7Pjx4N8FCpwOVWrWtFiyxIFt+/SeIQfNn++kfHmL2NjsC+tvvDHYrv3zz10sXuzg8GGDtm2DQWN0tE2bNn7WrDEZMsSbIiwrXz6ZF1/0MHy4h2uu8RMdbVGwoM3mzSZr1jj47TcHlSpZPPhgMqVL2/h88O23wXWiu3f3n2k46frrL5PISJuEhODnmlKl0v9dtnq1yerVDvr3T6ZCBZvy5QN8+63Fr786FPyJiIiIyCVJwZ/IBcrhgFtv9fHCCx4eeCDYq8s0bapXt6hbN0DhwsHWN4FA8I/fD1u3mqxda7J3r0n16gEee8ybovKwalWLqlUt6tSxeP11N488EkZiokGRIjbNm/sxzeDV336/wcGDBkuWODhwwCAqShUDF7P5851YFrRocW4nX0RE5OKRL19wfavdu5XaSPoSE4Nz5N8tv2vWDPDdd84MV1nJ+QsEgi3Zr78+e9+nGQZcf72fcuUs3nrLTZUqAeLiTn+PT62l99/ANzwcHn00mTffdPPZZ058PiO0X2ysRa9eXtq2DYSWEnC5oHHjAAsXOrjhhnO76Ozvv01q1Qqwb5/BqlUOrrwydfB35AgUKBD8zDRliosKFSwaNrRCY2vWLMCcOU5uvdV3XuskioiIiIhcjBT8iVzAqle3eOGFJA4fDn5i3rfP4M8/HXz0kQvLSvkp2jCgZEmLWrUsevb0UbeudcYP2tWqWQwblsxHH7moXTtA69YBXK6U+xw7Br//no8NG0yiolQxcLE6fhy+/NJJ69YBrdEnInKJKF3aYvduLegr6TsV/P274q9qVQuHw2b16rNXWUnW2LHDwOczqFQpZyrT6te3GDkyKVXL//QCuvBwGDTIi2XB3r0Gx44ZxMZaZ1xHtHnzAPPmOc+p1WZiIuzcadKpk58SJYKdSfx+Uoz322+dfPSRC4/HJibGZssWkyFDUq7n17JlgFmzXCxfbtKokar+REREROTSouBP5AIXG2unaPvTrl0ArzdY4edwnP6T2atpS5SwefBB7xlvL1gQSpSw2LDBpFmzi+fEj22Dz0e2X9m7ZUuwUrJo0ex9nPP19ddOkpPhuut8uT0UERHJIaVL26xapeBP0peYGPy7YMHT7zPDwqBSJYvVqx20a3fxvP+7mG3aZGKaNnFxORdOnevFYKYZbCd8tmrQKlUsihU7t1abf/9tho6RmBis5tuwwaRateBxfvgheBFku3Z+iha1WbPGpE0bf+j2U0qVsilXzmLBAieNGp35M4+IiIiISF6kMwIiFyG3G/LnB48nePVrdq3BUqmSxcaNF8+viaQkeOMNN3ffHcbcuQ7sTHao2r8fXn3Vzfr16T/nrVsNhg718NRTYezZc2G1Ulu82MGkSS727zc4fDh4RXSHDv4LPqAUEZGsU6aMxd69Bv7/7xzo9cLOnRfW/1eS+05X/KXcXrOmxdq1JgHlfjli40aTsmXtPNWO8lSrzd9+c+DL5LVnf/3lICLCJirKJi7OJjw8eCGDbQff137wgZsOHfz06uWjSxc/jz3m5c47036QFi38rFhhhkJuEREREZFLxcVzRl9EclylShbbthkkJ+f2SM5u3z6DYcM8rFhhUreuxXvvuXnlFTdHjpzex7Zh7lwHb7/t4u23XUyc6AqFfLt2wdChbpYtc/DKK2527Ur7BGlSEowZ46Z0aZuwMJvnnvOwfbvBihUmEye6+PFHR0483VS8XnjvPRdjxriZP9/Bww97GDHCg8cDnTppbT8RkUtJ6dI2lmWwd2/w/7JZs5w89ZQnFASKQDD4c7tTB041awY4edJgy5acD4u3bzd46y0nhw/n+EPnmo0bTSpUyHutKFu2DM6jDz90ZepivL/+MqlaNZg6G0ZwPv7xh4Phw9189JGLq6/20bOnL0MXPjZtGsC2YcmS3Hl/LiIiIiKSW9TqU0TOqGJFC8sy2LzZTNU+50KybJnJuHFu8ue3efrpZGJjbZYtMxk/3s3gwWHcdZeXmjUtJk50sWCBkwoVguvXHDliMG+ek+rVLfbvh3z5YMSIJN54w81LL3l46qlkLCsYKubPb1OypM0HH7g4fNjgueeSyZ/f5oUXPDz+eHCBk4gIm3nznBw/7qNz55w7u3ryJLzwgocdOwzuuMNLs2YBZs928u23Tq6/3pfqSn4REcnbypQJ/p+9a5dBmTI2S5Y48HoN/vnHICYmk+XwkmcdPx5cu+2/ypWzyZ/f5o8/HFSsmHPvZ375xcG777rw+w08Hrjjjhx76FyTmAj//GNyzTV5L5UvVcrmjju8TJzopmhRm65dz/4cT56EbdsM2rQ5/bmjVi2LxYudJCfbPPpoMrVqZfwzSaFCULaszfr1JpdfrhJWEREREbl0KPgTkTOKibHxeGw2brwwgz+/H774wslXX7mIjw9wzz3e0AmsunUtRoxIYsIEN6+84qFYMYuEBIN+/byhNQttG/74w+Srr9yULAn33+8lf36bRx7xMmyYhwceCEvzce+5xxta2+SJJ5JZssRBxYoWsbE2U6c6mTLFhWnC1Vf7s60N67+9/76L3bsNnn46mXLlguO65ho/XbrkzOOLiMiFpWBBCA+32b3bZNeu4N8AO3aYxMTo5LcEHTtmEB6eOgh2OOCKK/x8+62Tyy4LULJk9ofFn34afD/XqpWfihXhww+dNGliULlytj90rtq8OfizWbHihfc+Oyu0aRPgyBEfX3zhIl8+myuvDKT73vSvv0wsy0ixLmDTpgECAS9NmgTInz/zY6hQwWLNGjU6EhEREZFLi4I/ETkj0wx+WN6w4cL6sHzsGPz0k5MffnCSkAA33eRLM2QrXBgeesjLjz86+OknJ/ffn0yFCqdPXhkGNGxo0bSpl6JFXRw+HAwTIyNtnngimZUrTaKibIoXtzlxInhFdliYTYMGp09GFCwIV1xx+iRqt25+LAs++cTFDz84qFvXomVLP+XLZ89JswULHPz6q5O+fb2h0O/fz09ERC49hhGstgm2rXbg8djkyxdso9isWW6PTnLCgQMGL77oZsAAL2XKpP0eJFjxl/ZtXbv6WbTIwfvvu3j0UW+2vqdYutTkq69c9Ojho1MnPw6Hye+/wwcfuHjmmQCOPNylcdMmk/BwmxIl8m4l7jXX+ElMNJg82c1ffwW4/XYvHg+sWxdcty8+3sIwgtWPH3zgolw5K3SBHQTXNj+far3y5S3mzHFy/Hjq9SxFRERERPIqBX8ikq6KFS3mzXNi27kXJNk27NhhsHKlg5UrTf7+28QwoFmzAB06+ImNPfPJEsMIBnP/Ducyonhxm7ZtU96nQoWzH8Mw4IYb/FSrZvHnnw6WLnUwZ46Tzp19XHedH2cW/tbds8fgvfdctGjhp3lzVXCIiMhpZcpYbNlisns31K0bICnJYNu2C+tCHsk+y5eb/POPydSpLvr394a2791rULy4/f9Bi5Fmq08Ajwd69/YxcqSHxYsdNG2aPe8zjhyBCRPcxMcH6Ngx2ArSMODuu6F/f4Pp05106eJPtQ5hXrFhg0n58laevljLMOCWW3xUqmTx3nsuHn44DK8X/P7gk27Z0s9tt/kYM8ZNUpLBkCHJWfp6nFo/cetWkxo18mZlpYiIiIjIfyn4E5F0VapkMWuWwb59xnldjWzbMG+eg7p1AxQtmv6+mzcbrFrl4ORJOHLEYM0aB4cOGbhcNjVqWNxyi48mTQIULHjOw8lWhhFcj6RWLYtevXx8+aWTqVOdrFrlYMAAL5GR6b+Oe/caFCxop9vO6PBhePllN0WK2Nx2my+Ln4GIiFzsSpe2+flnA8sy6NzZz/btBj//rLf+l4q1ax04ncH1HbdvN4iNtVm61OTVVz3cf7+Xxo0DHD9uEBV15iAkPt6iYcMAkye7qFkz69932XYw9AO4666UVYWVKkHHjgFmzHDx/fdOGjcO0K2bjyJFsnYMucm2g60+27fPe+v7paVx4wBVqgT4+msXERE28fEBNm0ymTjRxbJlDo4fNxg8OJmoqKytfixd2iYszGbzZgV/IiIiInLp0Kd/EUlXpUrBD8gbNpiUKHHuV3vPmOFk6lQXV17pp1evMwdVO3caPPecB6cz2H6qQAFo1ChAnToBqlSxLrorvk0z2OKoVq0Ar7/uYfhwN089lUyhQin3O3kSvv/eyeLFDnbsCLZ9uvFGH61bBzD/U6Bx+DA8/7wHny94VXS+fDn3fERE5OJQpoyFZQUvmomPDwAOEhIMjh4l1f9BkrfYNqxda9Khg5/ffnMwfbqLm27y8fbbwTdRq1ebNG4c4NixM7f6PKVXLy+PPx7G2LFuBg3ypnpPcj5+/91k+XIHDz6Y+n0RQM+eflq18vHLLw7mzXOyapXJI4+cuXXpxWbvXoPERCNUkXYpKFIEevY8/TmgVKkA0dEW48e7ue46X7YEc4YRbPe5aZMqnkVERETk0qHgT0TSFR4OZctafP21kwYNAoSFZf4Yixc7mDo1eHXvH384uPVWX5otfE6ehFGj3ERF2QwblnxOj3WhKl/e5vHHk3n2WQ8jRnh4/PHkUHutU1e8L1tmUr9+gGuu8bNsmcnEiW6+/tqiWDEb0wSHI/hn2zYDv9/giSeS8/SaMCIicu5Klw7+/1C7tkVYWPD/coDt201q1rx0goZL0bZtwUCpdu3gWmkTJrjZscOgQAGbOnUCrF0bDECOHz9zq89TihaF++7zMmKEhy++cNK9e9ZVp82e7aRKlQD16p15PpYqZdO9u58rrggwcqSbYcM89O/vvejnsG0Hn/+pUOpSFhdn88ILydn6GOXLWyxcmP6pj7VrTfLnt4mLO/3eetUqk7lznRw9GmyNW6iQTWSkTXy8lW3tb0VEREREsoIuexORs7r7bi/79hm8/bYb2w5eofzyy26mTUv9AToxEb76ysljj3kYNszDm2+6GDfORbNmfu66y8uhQwZbtqRO/U6FXwkJBgMGePNU6HdKiRI2gwcnc+iQwYsvejh6NLj9118dLFni4O67fdx3X7CNad++Pp56KplKlSzy5ydU6ej1QtmyNkOGKPQTEZEzK1bMplw5i8svDwY1JUrYuFw227fr7X9et3atA5fLplIlixYtApQoYXHggEH//l7q17fYu9dk/36DkyeNs1b8AdSoYdG9u49Zs1wsW5Y182fbNoO//3bQrl3GwpPISJsnnkimfHmLESM8vPqqm61bL86F8ZKS4PXX3cyZ46RnT+9Zw1c5f+XLWxw6ZHD4cOrb/vnHYORINy+84GH4cA8HDgTn1b59Bq+/7mbvXoOoKJuaNS2KFLHZscPkzTfd7N9/cc4/EREREbk0qOJPRM4qNtamXz8vo0Z5GDnSzdq1JqYZvAq2efNAKICaM8fBxx+7CASgYcMADgfs3WtSr55Fnz4+HI5gS6k//nBQvvzpK8YPHjR4//3g+h79+ydTqlTeDbSio20efTSZkSM9PPWUh9tv9/HBB8FgtEmTlCe/Kle2qFz50r4KXEREzo1hwLPPnq6iMU2IibHZsUMnq/O6tWtNqlSxcLmCXz/wgJcTJwzKlbOJjAy+1/jjDwdw9lafp3Tq5GfVKpMZM1zUrXv+1Vnff++kaFGbBg0yXjVVoAAMGuRl4UIH06c7eeKJMPr3T6ZRo4vnvdLBgwavvupmzx6DBx9Mpm7di2fsF7MKFYLzfPNmk/r1g6+51wuffupk1iyTiAibu+/28sUXLt54w82QIcm89ZabggVtnnwyOcW620lJ0L9/GD/84ODmmy+N9RlFRERE5OKjS35FJEPq1w9e7b1ypYMrrgjw2mtJFCpEqOpv82aDSZNcNGkSYPToJO67z0ffvj6GDk3m/vu9uN3BNpV16wZCJ5sAfvrJwaBBHrZsMRkw4OI6eXOuypU73cr05Zc95MsHt9125nUPRUREskJsrKWKvzzO74d160yqVz/9fio21qZq1eDXhQpBdLTFkiWngr+MHdcw4LLLAmzaZIYqos5VYiIsXOigbVs/zkxehmqa0KJFgJdeSqZCBYsFC87tOtajR8nxiq2NGw2efNLD8ePw9NMK/XJSRIRN4cJ2aJ2/VatM7r0Xvv7aQdeufl56KZmWLQPcf38yW7YYPPGEh40bTfr29aUI/QDCwqBNGz8//eQkKSkXnoyIiIiISAbok7+IZFjnzn7efvskt9zio1Ah6NrVx8KFTjZvDrYBjYmxueMOH4ULn/kYDRoE2L3b5J9/DBYvdvDOO26aNAnw4otJNGhw6ZwAKVbM5qmnkmnb1s/993spUCC3RyQiInldbKzFzp0GfhWp5FlbtpgkJxtUr37mSrpq1Sw2bgx+DMxoxR9AfHwAh8Pm998dZ985HfPmObHtYHhyrhyO4HvK1atNfOdw7dSbb7p5/nk3gRxapm3NGpPnnvNQooTNM88kExubd7tbXIgMAypUsFizxsHYsS5eeMFFVBS8+KKX667zh1rqV6xo06OHn927Ta65xnfGzhtt2wY4edLg11/P72dBRERERCS7KPgTkUz5d0B12WUBoqIsXnjBw759Bn37es965XbNmhYul80XX5xe+69PH98lGXzlzw+9e/uoVOnSCTxFRCT3xMbaBAIG//yT8Uon24a//jIVFl4k1q41yZfPply5MwdL1aoFsP//5swEf/nzQ61aFr//fu4fIW0bfvzRQZMmAQoVOufDAFCnTgCv1+CvvzI3nh07DFavdnDggBmqfMxu333nJCbG5vHHk8/7ecu5qVDBYtMmk1WrHNxzj4/nn4fSpVPP/6uu8vPUU8lcd92Zf+lFRdnUrx9g9mxn6GdJRERERORCouBPRM6Z0wnduvlJSjLo3t1PdPTZP/l6PFCnjsVvvzkoW9amTx8fhpYbEhERyXYxMcELTTLT7nPqVCfPPefhvfdcOsF9EVi3Lri+nyOdPOvfbUAze+FVo0YBNmxwcPjwuY1vzRqT/ftNLr/8/EvtYmJsIiJsli3LXHj3/fdOihSxqV49wFdfZX9wk5wMq1ebNGkSCK27KDmvZUs/117r4+WXk2jd2jrj5w/DCK6zbZ7l1+SVVwYrA1et0ikVEREREbnw6F2qiJyXZs0CPPdcElddlfFSgLZt/VSuHGDgwORQax0RERHJXgUKQLFiFtu2ZeyKm9mzHcyY4aJu3QDz5zuZM0dt7S5027aZlCuXfieB8PBgCBwWZmd6jb169QIYhs2ff57bXJg/30HJklaWdDswjGD70RUrMv6RNjERFixw0K6dn86d/WzbZrJ6dfZ+JF6zxsTnM6hXL4f6ikqaIiKCFywWLJg1x6tWzaJiRYtJk1wkJ2fNMUVEREREsoqCPxE5L4YBcXF2pqr2ata0eOopb7prAYqIiEjWq1DBDq3vlp7Fix1MnuymY0cfDz7opV07P5MmOVm3LgcGKefk6FE4dsygTJmzl7DVrh0gIiLzpW7h4cGKwXNpkZmYCL//7uCyywJZ1u0hPj7A3r1mhtvX/nt9wZo1LcqWtfj660ymn5m0dGkw7CxVSiWzeYlhwN13ezl40GDKFJVyioiIiMiFRcGfiIiIiMglomJFiy1bzr5m31dfOaldO0CPHn4MA3r29FGxosWLL8Lx4zkzVsmcnTuDH+1OtXRNz3XX+Rk8+NzKlBo1CrBunYO5cx0cPJh24JZW+8zFix1YFrRokXULRlavbuF02ixffvYg0u+HH35w0rx5cH1Bw4BOnfysXu1g48bs6Ttv28HgT9V+eVOpUjY9evj4/ntnhipHt283mDTJxd69WudARERERLKXgj8RERERkUtEpUoBfD6D7dvPfOL5yBHYutWkWbPTlVlOJ9x3n4/jx+GTT7K3QkrOzc6dBg6HTYkSGVtzOSLi3B6nceMANWoE+OADFw88EMa4cSmrnaZNc/L4455U4fJPPzmJj7coUuTcHjctYWHB8G/ZMjNF2OjzkSpcWbnS5NAhg3btTg+sUaMA5cpZjB7tISEh68Z1yubNBkePGtSrd/6tTeXCdOWVAapXDzB2rJsZM5zs35/6d2tCAkyY4GLIkDDmzHHw9NMe1q/XqRgRERERyT56tykiIiIicokoW9bG4Ui/3efKlcHqqVq1UlYpRUbC7bfD3LkO1qw58/23bjV48kmPKgNz2I4dJqVLZ37dvswqUAAGD/by5ptJ3Hijj19+OV3tdOCAwaxZTnbsMPnpp9NVeFu3GmzdatK6ddZV+53SqFGAtWsdDBgQxgcfuBg92k3fvmE8/HBYioB74UIHMTEWcXGnE0KHAwYOTMayYNQoDz5f1o7tzz8dhIfbWbKmoVyYDAP69vVSp06AL790MnBgGO+/7woF0QcPGjz9dBh//ungllu8jB6dRHS0xfPPu/ntN62bKiIiIiLZ45yCv0OHDjFy5Ehuu+022rdvz4YNGwD44IMPWL58eVaOT0REREREsojLFVybN73gb8UKk3LlrDTX4r3qKqha1eLdd10kn6FT5IoVDrZsMVm4UCe1c9LOnSbR0TkXMIWHB1tlVqpk8fHHLiwLpk51ki8fNGwYYMaM4Bzx+WDiRDfFi1vEx2f9+Fq3DvDoo8nUrRtg2TKTffsMOnXyU7iwzQ8/BFPQkyeDIVyzZqlbbkZEBMO/rVsN3n8/69Zqs6xgm886dQI49KOQpxUtCvfc42Ps2CR69vQxd66Tt992kZAAI0a4AXj++WTatw9QpEgwOI+Pt3j/fRcBdYEVERERkWyQ6eBvzZo1tG/fnm+++YaSJUuyfft2vF4vAHv37uX999/P6jGKiIiIiEgWqVjRYtOmtD8GWBasXu1IVe13imHA//7nZ/9+gwUL0k4ztmwJHvvHH51prvUmWc+2Ydcug5iYnH3Bg+s/etm+3eTjj10sWOCkWzcfPXr4OHo0uKbehx+62L7d4L77vNkSgBkG1Kpl0bu3j1GjknnuuWS6dvVzxRV+fv3VQWJiMPTz+QyaNEl7XleoYNOrl4/5851s3pz59dc2bDB56y0XH3/s5KefHEyd6mTAgDB27jTTDBslbwoLg6uu8nPvvV4WLXLw0ENhJCYaDB6cTGTk6Z9NpxOuucbHsWMG69apCZOIiIiIZL1Mv8scPnw48fHxzJ49m+effx77X5/m69Spw4oVK7J0gCIiIiIiknUqVbLYu9fk6NHUt23ebJCYaKRbmVW6tE1MjM3mzWl/lNiyxaRsWYsdO0w2bcp8iCKZd/gwnDhh5GjF3ykVK9o0bhzgu++cFC9ucdllAUqUsLnssgBTpzqZO9fJbbf5KF8+Z0PJNm38BALwyy9OFi50ULlygKioM4/hsssClC5t8dlnGa/6O3wY3nrLxbBhHjZtMvnzTwcTJ7r55hsndeoEeOaZJOrUUZvPS02TJgEeeMBLyZI2jz6aTKlSqedduXI2xYpZavcpIiIiItki0ytArFq1ijfeeAOXy0XgP30pIiIiOHjwYJYNTkREREREslaFCsEgYuNGk7p1LWbNcuLx2LRvH2DlSgf589uhfc6kbFmLrVtTB3/HjgXXtLrxRh+ffebkxx+dVKyYxQunSSo7dwa/F2XK5E6JZY8ePtavN7n5Zl9ojcGuXX38+quD5s39tGmT81VvRYoE1//79lsnCQlw223pz0PThOuv9zF6tIc1a0xq1Ej/Z+DoURg2zENyssGdd3pp3TqAacL/N8PB7c6a5yEXp/r1LerXP0M/ZIKVqk2aBPjpJye9e/vUDlZEREREslSmg798+fKRmJiY5m27d++mSJEi5zsmERERERHJJsWK2RQuHFzn79Ahg88/D1Y4bdvmZ+dOk5o1rbOehI6Ls/j1Vwd+P6GgB063+Sxf3qJNmwAzZjjp2dNHgQLZ9WwEYMcOE7fbpnjx3An+oqJsRo9OwvhXgWdEBLz6ahKFCpFie05q397PokVOTNOmUaOzh48NG1qUK2fx+ecuqldPPuO4fT547TUPXq/Bc8+lbOOowE8yqlGjAF995WLtWpNatVQZKiIiIiJZJ9OtPlu0aMFbb73F4cOHQ9sMwyApKYlJkybRunXrLB2giIiIiIhkHcMIrvO3cKGDSZNctG/v5557vCxc6GDLFpPatc8ekMTF2QQCBjt3pkxGtmwxyZfPpkQJm1atgq0Wf/1VpSxZzbbh999N9u4Nvv47dxqUKWPnWsAGaYd7hQvnXugHwbX7KlSwqFfPomDBs+9vGNC9u4+NG02WLk37o7Jtw8SJLrZsMXjwwZShn0hmlCtnU7y4xZIl+h0pIiIiIlkr0xV/jzzyCDfddBPt27encePGGIbBqFGj2LhxI4ZhMGDAgGwYpoiIiIiIZJWKFS3+/NNFzZoBbr452GYuKsrmq6+cNGhw9uAvNtbCMGDbNpO4uNP7b91qEhcXvK1oUahZ02LpUgdXXpnzrR7zquPHYeJEN0uWOIiKsnj22WR27jSJiVHF0H8ZBjz6aDJmJi53rVnTombNAB9+6KJWreRUFXyLFjlYsMBJ375eKlZU6CfnzjCCVX9q9ykiIiIiWS3TFX8lSpRgxowZ3HLLLezfv5/Y2FgSEhLo3LkzU6dOJTIyMjvGKSIiIiIiWaRhwwCNGwe47z5v6GRzlSoWDz3kJTz87PcPC4MSJVKv87dli0G5cqcDqCpVLDZtMrGUSWWJvXsNhgzxsHq1Sa9eXo4fNxg3zs2uXQbR0Qqh0pI/f3C+ZpRhBNcDPHTIYNaslNfJ+v3wxRdO6tUL0Ly5wmw5f40bB0hMNFi7NtOnZkREREREzijTFX8AhQoVon///vTv3z+rxyMiIiIiItmsZEmb++/3ntcx4uJSBn+JiXDggEm5cv7QtsqVLU6eDLYEjY1VMHW+vv/eGVpXrnhxm6gom1de8QCo4i8LlSpl07mzny+/dNK8eYBSpYJz96efHOzfbzJwYFIuj1Dyirg4m6goi99/d2idPxERERHJMpm+rOyff/5hzZo1ad62Zs0a9uzZc96DEhERERGRC1vZsjbbtxvY/5/nbdkS/Gjx74q/8uUtTNNmwwZVs2SFFStM6tcPULx48EWvW9eiSxcfhqHgL6t16eInIsJm4kQXCQmQlATTp7to1sxPTIxCbMkahgH16wdbItuaViIiIiKSRTL9CXzo0KHMnDkzzdu++uorhg0bdt6DEhERERGRC1tcnEVyssGePQYQDP7y5bMpUeL02WuPJxgQrl+v4O987d1rsGePSZ06KVtM3nCDn5EjkyhSJHfGlVe53dCnj49t20wGDgzjxRc9JCZCt27+s99ZJBMaNAiQkGCwaZOR20MRERERkTwi05/AV6xYQZMmTdK8rXHjxixfvvx8xyQiIiIiIhe4U5V9p9p9btliEhdnYfzn3HXlypYq/rLAihUmDodNjRopK/sMgxRhq2SdGjUsRo1KoksXP7t3G7Rv7w9VW4pklcqVLQoWtPnjD0duD0VERERE8ohMfwI/ceIETmfaSwMahsHx48fPe1AiIiIiInJhCw+HiAibbdsM1q83WbPGpEKF1O0mK1Wy2LfPJCEh58eYlyxf7qBqVYt8+XJ7JJeWAgXg2mv9vPVWEjfdpGo/yXqmCfXrB/j9d7X7FBEREZGskengr0KFCsyZMyfN2+bOnUu5cuXOe1AiIiIiInLhi4uzWLjQyQsvuImJsejUKXUwUrlysDWl2n2eO68X1q0zqV1b6/jlFtMkVTWrSFapXz/A3r0mu3drkomIiIjI+Uu7dC8dt912G4MHD8Y0Tbp160bx4sXZt28f06ZN4/PPP+eFF17IjnGKiIiIiMgFplw5i6VLHbRs6eeOO3y4XKn3iYiAYsUsNmxw0KiRgqtzsW6dic9nEB8fOPvOInLRqVHDwuMJtvssU0aVpSIiIiJyfjId/HXt2pUDBw4wduxYpkyZEtoeFhbGQw89xLXXXpulAxQRERERkQvTlVf6iY21qFcv9dp+/1axoqWKv/OwfLmDYsUsSpdWH0CRvMjthjp1LH791UGHDn48ntwekYiIiIhczDId/AH06dOHHj16sGzZMhISEihSpAh169YlPDw8q8cnIiIiIiIXqAIFoH79s1fxVali8fvvDrze4Anu/zp8GFyu4LqB6fH7YcMGk6pV0w8ac5PXC/v3G5Qpk3Uh3cqVJnXqXLjPWUTO39VX+xg+3MMLL3h4+OFkChbM7RGJiIiIyMXqnII/gPDwcFq2bJmVYxERERERkTyoenULyzKYMcNJ9+7BNnaJifDRRy7WrnVw8KBB/vw2w4YlU6rUmQOzr7928vnnLqpUCXDnnb4LrgLOtmHMGDcrVpi8+WYSBQqc/zETE2HvXpMbblD7P5G8rGJFmyFDknn5ZQ/Dhnl4/PFkIiJye1QiIiIicjHKUPD3/fff06RJEwoVKsT3339/1v2vvPLK8x6YiIiIiIjkDWXK2HTv7mPKFBfR0TbVqgV48UUPCQkGrVr5KV/eZupUJ6+84mbYsOQ0A7PExGDwFx8f4J9/DB57zMM99/ho2vTCWfdu3jwHS5c6AFi50pElY9uxI9giNSZG6yOK5HXly9sMHZrM0097+P57Jz16KPAXERERkczLUPDXv39/PvvsM2rXrk3//v3T3dcwDNatW5clgxMRERERkbyhUyc/u3YZjB/vokgRJ4GAwZNPJodaYsbFWTz9tIcxY9w8/LAXhyPl/b/5xonPB336eMmfH0aOdDNnTtaEa1lh1y6DyZNdXH65n02bTJYtM9Md28mTMGWKixtu8KVbGbhzp4HDYVOixIVV3Sgi2aNECZvKlS22bNG6qCIiIiJybjIU/M2dO5eoqKjQv0VERERERDLDMODOO33s32+QkGAwZEgyUVGnw6ySJW3uu8/Lyy+7efllN3ff7aVo0eBtR4/C7NlO2rf3U6RIcFudOhZTpzoJBEgVEuaURYscfPGFE5cLjhwxiIqy6dnTx6xZTubMcRII+M44tnXrTObMcRIZadO585mrenbsMCld2sZ5zos0iMjFpkIFi6+/dmLbaG1PEREREcm0DH18LFOmDADJycl8//33NG/enMqVK2frwEREREREJG9xueDxx73YNmkGWbVqWTzyiJe333bz2GNhXH+9j7AwWLrUgWEEqwZPqVjRwus12LHDIC4ud6rhfvklOK7gGobQvr0fjwfq1Qswc6aL9etNqlVLu0Xn9u3Bap4ffnBy9dX+MwaEO3calCmjNp8il5Jy5SxOnDDYt89Qta+IiIiIZFqmrhv1eDyMGjWKGjVqZNd4REREREQkDztbdV6tWhYjRiQxcaKb9993A8GKl549vYSHn94vLs7CNG02bzaJi8v5dp+BAPz9t8k11/jp0iVlxV758jaFCtksX55+8Fe0qM2hQwZ//mnSqFHq/Wwbdu40iY/XOl8il5Jy5YK/DzZvNilR4sJoZywiIiIiF49MN4ypVq0aGzdupFGjRtkxHhERERERucQVLAgDBng5eTIYFLpcqdvdeTz/x959h0dVrW0cfvaekkASMIRQk9AJLRCaCCeIIB6xICIoiMpBERU8Kh4s2BULig0p+nFAVLBXLNgbSJUqvXdEIAGEBEhmZu/vjzkEYyiTZCZl+N3X5YXZs2fNmp03Q5hn3rWkxERbGzaY6tKl+N8Y37rVUHa2oUaN8gd2hiG1bOnT4sUOXX31iUO7bdsMtW3r05Ythr791qmzz87Jd86+fYYOHzaUkEDHH3AmiYmRKle2tGnTqfcKBQAAAE6kwLtF33///XrjjTf09ddf68iRI6GYEwAAAACoXDnJ7T75Hld161rasKHA/6QJitWrHXK5bNWte+JQrmVLn3btMrV7t6GsLCkj4/iTOHpU2r3bVFKSpX/+06c1axzati3/k9yxw38sIYGl/oAzTd26tjZvZoM/AAAAFFyBO/7+9a9/yePx6M4775QkRUZGyvjLv8QNw9CiRYuCN0MAAAAAOIH69S39/LNThw9L5csX72OvXWuqQQPrhHsVSlKzZpacTlv33x+h7GxDpmnrxRezFRdna8cOQ7YtJSVZSkqyFRtr67vvnBo40JNnjO3bTUVE2IqPJ/gDzjR16liaNs0py5LMQn6+ISPDUKVK9kk/PAEAAIDwVODg74YbbsgT9AEAAABASahf35Jt+/fBatas+JbDtG1/8HfhhSffey8yUrr+eo8yMgzFx9uaONGlJUtMde3q07ZtpgzD38nndEr/+IdXM2c6dcMNnjxv0O/YYSghgTftgTNR3bqWsrMN7dplqGbNgof/hw5J//lPhG680aOOHVkuFAAA4ExS4ODvtttuC8U8AAAAAKBAqle3FRlpa+PG4g3+tm83lJVlKDn51I/ZqdPxN9t/+cWhxYsducFf9eqW3G7/bU2bWvriC0O//573Df7t203Vrs3+fsCZ6NjP/qZNpmrWLHhwt3y5Qz6foSVLHAR/AAAAZ5iAF4yYPXu2brnlFnXv3l0DBw7UBx98EMp5AQAAAMApmaa/K2bjxuDu87drl5FnT76/W73alMNhq0GDwEO5li0trVxp6sgRads2Q0lJx+/bsKElh8PWypXHn4dlSTt3GkpMJPgDzkRRUVK1apY2by7c69tvv/nvt2qVKZvVggEAAM4oAf0G+cMPP2jgwIFatGiRypUrp3Xr1unhhx/W2LFjQz0/AAAAADipevUsbdgQvDe2LUt65hm3Hn/craysE5+zdq1DdevauR17gWjVyiefz9Dy5aa2bzdVq9bxCUdESA0aWFq1ypF7bPduQ16vf6lPAGemOnUsbdpU8ODPtqVlyxxq2NCnzExDmzcf/yDD5s3GSV/bAAAAEB4C+g1y4sSJateunX7++We9//77mjFjhvr27avJkyfLsvgEKgAAAICSUb++pYMHDW3dGpyN8JYvN5WeburAAUNTprjy3W7b/o6/xo0LtnRe1aq2atSw9O23Th05krfjT5KaNLG0erWpY/+82r7d/3zo+APOXHXr2tqypeCvb5s3Gzp0yNAVV3gVEWFr5Ur/hwr275cefTRCX3xR4F1fAAAAUIYEFPxt3LhR119/vaKiovx3Mk0NHjxYR44c0c6dO0M6QQAAAAA4maZNLdWsaen55yO0Z0/Rw7+ff3YqMdHSwIEezZ7t1Lx5jjy3f/aZU4cOGWrRouCBXKtWPq1Z4x/vRMFfVtbxN/jXrXMoOtpWhQqFfCIAyryOHb1KSLA1YkRE7tKdgfjtN4fKlbPVqJGlxo0tLV/uv++33zrl8xm5r0MAAAAITwH95njo0CFVqlQpz7G4uDhJ0sGDB4M/KwAAAAAIQGSkNHx4ttxuW08/7db+/YUf68ABadEiU507e5WW5tPZZ/s0ebJL8+c7ZNvSnDkOffCBS716eZScXJjgz3+f6GhbZ52V97b69S25XLZWrXJo1y5D333nUJcuXhnBaWQEUAZFR0sPPpitxo0tPf+8W19+6QxoWeNlyxxq1syS0ymlpPi0dq2pgwelH35wqmJFW5s2GcrJCf38AQAAUDIC/shYZmamDhw4kOe/Ux0HAAAAgOIQGysNH54jr9fQE09EaPfuwqVlv/zilMMhdejgk2FIN9yQo/r1LY0d69b990dowgSXOnb06vLLvYUav359S9HRtpKSrHyBntMpJSdbWrnS1BtvuFSpkl3oxwEQPiIjpf/8J0fdunn19tsuPfGE+4SvcVu3+sO8zExpwwZTKSn+5YibNbPk8xn6v/9z6+hR/+uaz2cUau9AAAAAlA0BL+w+cODAEx4fMGBAvmOrV68u9IQAAAAAoKDi42098EC2Ro1y69FHI3T33dmqWzeA1pj/sW3p558dOvtsn6Kj/ceio6V77snRmjWmPv7YqRYtbA0c6Cl0F55pSv37exQVdeJ5NW1q6f33XbJt6a67suV2F+5xAIQX05T69fOqZUtL//2vSw88EKFnnz2q2Fj/7Vu2GHrwwUhFR9tq0MCSbSt3OeIaNWxVqmRr2TKH/vEP/xiRkbbWrjXVqBF7iAIAAISjgIK/kSNHhnoeAAAAAFAkVavaevTRbD33XISeeCJCd9+do8aNA3tje9UqU7t3mxo0yJPvtkaNLN1/f3DWxevQwXfS25o29cm2XTr7bJ9SU3lDHkBejRtbeuyxbP3735FassShLl38rydLlvj39OvQwaeZMx2qXdtSXJz/AwaGITVr5tPMmU5dfLFXpik1aGBp7Vo6/gAAAMJVQMFfz549Qz0PAAAAACiymBjp/vuz9cILbr3wglsPPpitWrVO3/n3008OVa9uFWrvvmCpU8dWnz4enXsuS3wCOLEKFaSGDS0tXnw8+Fu61KGUFEv9+3t01VUe+f72+YJu3byqVcvKfS1s1MjSF184ZVn+bsKi2LPH0MaNptq3P/mHGgAAAFC8+IgXAAAAgLASESENHZqjqlVtjRoVob17T70256FD0oIFDnXu7Cv0Mp7BYBhS9+5eVaxYcnMAUPq1bOnfDzQ72//6tWmTqRYt/MFbZKQUFZX3/KQkWxdeeDyYa9jQ0pEjhrZvL/oL3nffOfXyy27t31/koQAAABAkBH8AAAAAwk65ctLdd2crMtLWM8+4dfDgyc/95Rf/QigdO9JpB6D0a9nSJ4/H0KpVppYtc8i2pebNA++4q1fPksPh3+fv4EHpiSfc+uSTgBaEymfrVkO2Lc2bV7j7AwAAIPhKPPhbsGCBbrnlFqWlpSk5OVnff/99nttt29ZLL72ktLQ0NW/eXAMGDNCWLVtOOFZOTo569Oih5ORkrV69Os9ta9asUb9+/ZSSkqJOnTpp4sSJ+e7/1VdfqVu3bkpJSVH37t01Y8aMQs8FAAAAQMmqWFG6554cZWUZeu65CB09mv8c2/Yv89mmjaWYmOKfIwAUVPXqtqpW9S/3uXSpqdq1LcXGBn5/t1uqW9fWwoUOjRgRoXXrTE2b5tQffxzvAJw+3amRI92aMMGlTz5xKjs7/zi2LW3bZsowpDlzHEF4ZgAAAAiGEg/+Dh8+rOTkZD3yyCMnvH3ixImaOnWqHn30Ub3//vsqV66cBg4cqOwT/NY5atQoValSJd/xzMxMDRw4UDVq1NDHH3+se+65R+PGjdN7772Xe87ixYs1bNgw9e7dW9OmTdP555+vW2+9VevWrSvUXAAAAACUvKpVbd1zT7Z27jQ0Zoxb3r819a1bZ2rXLlNdutDtB6BsMAz/cp9Llji0fLkjd5nPgkhO9mnVKoe8XumJJ7J11lnS22+7JEnz5jn0zjsuGYb0+++mPvrIpV9/zR/s7dtnKDPTUIcOXm3ebGrXrhJcKxkAAAC5Agr+FixYoKysrJBMoFOnTrrzzjt1wQUX5LvNtm1NmTJFgwcPVteuXdWoUSONGjVKe/bsydcZOGPGDM2ePVv33ntvvnE+++wzeTwePfXUU2rQoIEuueQSXXfddXrttddyz5kyZYo6duyoG2+8UfXq1dPQoUPVpEkTvfnmmwWeCwAAAIDSo04dW0OH5mjFClPffZd3ObqffnKoalVLTZpYJTQ7ACi4li19OnDAH7ylphb89atDB59at/bpoYdylJRkq29fjxYvdujHHx2aONGlc87x6t57c/TYY9mqU8cfMv7dtm3+oK9HD68iI23Nnk3XHwAAQGkQ0CLs/fv313vvvafmzZuHej557NixQ3v37lWHDh1yj8XExKhFixZasmSJLrnkEklSenq6HnroIY0fP16RkZH5xlm6dKnatGkjt9udeywtLU0TJ07Un3/+qYoVK2rp0qUaMGBAnvulpaXlhnqBziUQpmnINPkkXKAcDjPPn0CwUWMINWoMxYE6Q6iV9Rpr2VJq29bW7NlOde/uf5M8M1P69VenevXyyuUqm88r3JT1OkPpFy411rSpVL685HBIycmSaRbs+dStK919t1eSIclQWpqtb7+19dprblWvbuvmm325r4tt2liaPt0pyZTzL+8i7djhUFSUlJhoqF07S/PmOdWnjyXjDH+7I1xqDKUbdYZQo8YQatRYaAUU/Nm2Hep5nNDevXslSXFxcXmOx8XFKT09XZJ/bsOHD1ffvn2VkpKiHTt25BsnPT1dCQkJeY5Vrlw597aKFSsqPT0999iJHieQuQSqUqUoGWf6b8KFUKFCuZKeAsIcNYZQo8ZQHKgzhFpZrrFu3aSRI6XMTJcSE6XZs/1vmvfo4SzQ/lgIvbJcZygbwqHGunf3v4bFxQX01s5p3XGHNHasNGyYVKOGK/d4p07Sp59Kf/zhVErK8fP37PGHjpUqOXXxxdLcudLevS4lJwdlOmVeONQYSj/qDKFGjSHUqLHQCM5vhyVo6tSpysrK0s0331zSUwnYvn1ZdPwVgMNhqkKFcjp48Ih8PpZgQvBRYwg1agzFgTpDqIVDjdWrJ7lcEZo+3aerrvLqs8/cSkmxJXm0f39Jzw5SeNQZSrdwqrGePf1/Buv1q3Jl6bHH8o8ZFyeVLx+hn3/2KSHh+H6oa9a4lZpqaf9+rxITpZgYtz75xNLNNx8/55NPHHK5pIsv9qmATYllVjjVGEov6gyhRo0h1KixwomNjQrovICDv/nz5+uPP/4I6Nx//vOfgQ57SvHx8ZKkjIwMValSJfd4RkaGGjVqJEmaN2+eli5dqpS/fuxMUq9evdS9e3c988wzqly5cr6uvGNfH+vyO9E5GRkZubcHMpdAWZYtyyqZLsqyzOez5PXyIoDQocYQatQYigN1hlAryzVmmlLbtl798oupFi1sbd1q6Kqrcsrs8wlnZbnOUDZQYwXTooVXixeb6tvXf82OHpX++MNQYqIv9zqef75XH33kVO/elipW9O8B+N57/redfv3V0ODBHsXHnznvhVBjKA7UGUKNGkOoUWOhEXDw98ILLwS05KdhGFq9enWRJnVMQkKC4uPjNXfuXDVu3FiSlJmZqd9++01XX321JOnBBx/U0KFDc++zZ88eDRw4UC+++KJatGghSUpNTdXo0aPl8XjkcvmXq5gzZ47q1KmjihUr5p4zb968PPv8zZkzR6mpqQHPBQAAAEDp1qGDTz//7NRrr7kVF2crJYV/ZALA6bRo4dOMGU7t2WOoShVb27ebsm0pKen4a2iXLl59+qlT333nVO/eXk2b5lLlypYGDfJo4kSXHnggQs8/f1QxMSX4RAAAAM4AAQd/Y8eOzQ28gikrK0vbtm3L/XrHjh1avXq1KlasqBo1aqh///565ZVXVKtWLSUkJOill15SlSpV1LVrV0lSjRo18oxXvnx5SVJSUpKqVasmSerevbvGjx+vBx54QIMGDdL69es1ZcoU3Xfffbn369+/v6677jpNnjxZnTp10pdffqkVK1ZoxIgRkvyB5unmAgAAAKB0a9zYUqVKtrZuNdWrl+eMWXoOAIoiJcWSw2Fr6VJT//ynT1u3GjJNWzVrHv+AeHS01KmTT99/71Rqqk+//urQjTfmqGlTS/fdl6NhwyK1caOp1FQ+cAEAABBKAQd/VapUUc2aNYM+gRUrVqh///65X48cOVKS1LNnTz399NMaNGiQjhw5oocfflgHDx5U69atNWnSJEVERAT8GDExMXr11Vc1YsQIXXHFFYqNjdWQIUPUp0+f3HNatWql5557TqNHj9YLL7yg2rVra/z48WrYsGHuOcGYCwAAAICSYxhShw5eTZ/u0rnn+kp6OgBQJpQrJzVqZOmXX5xKS/Np61ZTNWva+t+iSrkuvNCr775z6rnnIhQfbyktzf86W6WKrXLlbG3bRvAHAAAQaoYdwPqdjRo10vvvv6/mzZsXx5zC3t69h0p6CmWK02kqNjZK+/dnsd4vQoIaQ6hRYygO1BlCLZxqLCtL2r7dVKNGZft5hKNwqjOUTtRY4a1aZerFF92qWNGWbUv161saPNiT77wxY9y53X7nnXf8AxYjRrhVqZKtf/87/33CCTWG4kCdIdSoMYQaNVY48fGBrZnOwjYAAAAAzihRUSL0A4ACatLE0uOPZ8vplHbvNlWr1ok/R96rl0edO3tzu/2OSUryd/wBAAAgtAL6jeuHH35Qo0aNQj0XAAAAAAAAlFLVqtl69NFsXX21R2lp3hOeU7OmrYEDPXL+bXOZpCRLu3aZyskJ7LGWLDH1xhuu058IAACAPALa4+/Y3n6LFy/W22+/raVLlyo9PV2GYahy5cpq1aqVrrnmGpYCBQAAAAAACGORkdIll5w49DuVpCRLti3t2GGobt1T7zqze7eh8ePdOnrUUK9eHkVHF3a2AAAAZ56A11iYNGmSrr32Wn333XeqUqWKzj//fHXu3Fnx8fH66quv1LdvX73++ushnCoAAAAAAADKooQEW4bh32P1VDweaexYt9xu/9ebNrE8KAAAQEEE1PG3bNkyPf/88+revbseeOABVaxYMc/tBw4c0JNPPqlnn31Wbdu2VdOmTUMyWQAAAAAAAJQ9kZFSlSrW//b58530vLffdmn7dkOPPpqtp5+O0MaNppo3D86+rDt3Gqpa1c63DCkAAEA4CehjU++++66aNWumUaNG5Qv9JOmss87SqFGj1KRJE7399ttBnyQAAAAAAADKtqQkW9u3Gye9fe9eQ99951Tfvl7VqWOrbl1LGzcGp+Pv4EH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cRdetkGHb8lJTRgf1sdjw0qC1jTJbOxR905pxLwsKAAAAAAAASAR/ADB9eZ4C216WMTCo8LvfKv+RE/K/dEBOefFwBxHGz3Fk1TXJbOtUbPWSkS6tS+J58p04I/+u/XIKhsOeuEqaXSanpHD4+tLCxNSEhLFO18kYHFJs2aL4Lw4G5AUD5x73++XMKZczp/zSCwQAAAAAAMCMRPAHANOU73iNfKdrFXnzOnnZmYpevVwp9S0KvLhHkbdvSviSn0Znj0JPvajYVfNlL1lwRSwpavT2D38eT5yREY4MH7RMxVYvHd/13b2yahvlFuXLLcwb+ZwYA4MKvLhHVkOL7AVzhkO/eIM7w1D0mpVK+d/fyHf4hOzlEwiYEBfrTL2s2kZ5oaC81BR5qSF5GWly83NH/3n3PPkPHZMzq0ReTmbyCgYAAAAAAADegOAPAKYho6NbgZ37ZFfNlTOvYvhgwK/Im1Yr9OsX5DteI7tq7vhv6Hmy6pvl+Sy5JYXnno9EFXx6m+Q4Cuw+ILO3X9FrV07rZQj9ew/Jv/+ovIBf9vzZshdWynemQf791bIrZ8nLybrg9WZzm4K/3SYjZkueJy/ol1NeIjcrQ/5DxyWfpfANG+WWF0+4Ri8nU7Gr5su/v1rOvAp5aakTvhcuIBJVYMc++U7Xys3NkmxHxlB4+GsrDYe361eNhLdWXZPM7j6FN6xJZtUAAAAAAADAOQj+AGCaMQYGFXx2h9ysTEWvGb18pFtWLHthpfy7D8gpK5KXfvElP83WDvlfOiCrpWO4y2zD6tF70Xmegs/tkhGNKvzut8pqalNg214Z/QOKXHetFPAn+iVOOqu2Uf79RxVbsVix5Ysk33CgE8tMl3WmTsEX9yj8zi3n7Wq0auoU/N1uOUX5imy5VmZPn6y6Jll1TfKdqpU9r0LRa1ZKYy3nGKfYyqvkO1WrwO92K3LdNVJKaOyBtjPyOjB+ZlObgs/vkqIxRTatHQ7SX/26x2KyztQr+Oqf9y3rpWBA/oPH5BTmyS3KT27xAAAAAAAAwBsQ/AHANGLWNyv4u12SNdxNNtbykdG1y5VS36zgb7cpevUyuaVFYwZYRk+f/HsPyXemQW5ulsI3bJSvrlGBF/dI4YjsZVWSYcj/8mFZDc0K37BRXka67Ix0uempCj6zQ6FfPCN78XwZg0MyBoZkDIYlSU5xvtziArn5OVOuK9DoG1Dg+d1yKkoVW3XV6M+NZSm6YY1Cv3hWvqOnZC+ef871vsPHFdh1QPbcCkU3rpEsS25hntzCPMXWLE18ABfwK7J5nYLP7VTK//xG0Y1Xy5lV8trrGRiUf1+1fCfOKHbVfMXWLr8ilmGddI4j/97D8h86Lqc4X9FNa88Nyv1+OQsqFc5IV/DpbQo98bRiyxfJbO1Q5K0bklM3AAAAAAAAcAEEfwAwHbiu/HsODYcU5cWKbForhYJjjw34FXnLegW2v6zQr1+Qm5ul2NIqOXPKZHb1yKod7kwzO7vlpaWM6nKKlhXJC4UU2HNIxlBYbnGB/PuPKrpm6aglK93SIoXfuUXB325TYNteeSkheWkp8lJTJMeV/8BRGXsODS8dWlyg6IbVU2OZSsdR8Lmdw5+jjVePGZC5Rfmyq+bKv+eQnIrSkbqNrh75Dx6T71StYsuqhkO+sQK2Sei6c0uLNPTetyn44ksKPvWi7KpKxZYtkq/6pPxHT8nz+WTPny3/4RMyhsKKbrw6/j0FpxGzsVX+IyfkZqbLXjxfXsbFO1tfz+jsUfB3u2T29Cl69TLZSxdeMCx1iwsUftdbFfzNCwq+8JLc7MxR4SsAAAAAAAAwVRie53nJLmI6a2vrS3YJwLTi85nKyUlTV9eAbNtNdjlTktnaIbOja9Qx3+k6mW2diq5ZetGQYoTnyWxqk//QMVkNLcOdd647vBddWbGcWSVyKsrGDKp8R08psP1lSZIzu0yRLdeO/UzPG/71xq4+15XZ2T38/CMn5QX8Cr/juoQsfXkp/Lv2y199UuF3bJFbkHv+gdGYUh77ldz8nOG9/46clNXUKi81pNiqJaOXQr2cPE++Y6fl331Ahu3I8/tkL12o2FULpIBfVk29gr/bJaekYPhr5h9ehtXo6pXv1FmZHd3ygn4pFJQXDMgLheQU5Q3vZ3gZuwTPmQcGw5JlXvTPh9nWIf+ew7KaWuXmZskYGJQRtYe7N6+aP7z05oVeh+fJd/iEAnsOyc1KV+TN6+TlZo+/8EhUgV37Zc+tkFtWNP7rAIzC9wIAmAeAmY05AADzADAxBQUZ4xpH8HeJCP6A+PAX+wV4nnwHjymw9/BwePG6/MJNS1V001q5hXkTurXR0S2roXlkScrxLL9pnamXVVM/vJylf+L7+BndvQo9+ay8jHSF3/5myZ+cZnOrtnF4+dN1K2QvWXDx8WfqFXxmhyTJzc9RbMkCOXPKp8TSpUZPn6zGVtmV5ed0fpqNrQo+vU1eVobsylnDgV9nj7ygX25hvmTbMsJRGZGojHBYcj15KSE5pYVyyorkFhXIS0sZVxBotrTLf+i4vNSQnNIiOSWF49rz8dV5oPvoWZn7j8mqbZQMySkpkjOnTHZF6fDrikRldvUMd6o2tMiqa5Kbk6nY6qXDHXe2I9/pWvkOn5DZ0yenrFiRLdeM/ec1HFHw2R2ymtoUW7JguGPzCu6KxOTwXFsdNU8oq3Sj/Cns8ThRfC8AgHkAmNmYAwAwDwATQ/B3mRD8AfHhL/bziMYUfH63rNpGxVYsPnfvuWnObO9U8Je/k1uYN7w32mUMXIyBQfn3V8t3/IycWSWKvGX9uD+31smz8jLTJxy4JovZ3qXgb16QEY3JmVUie/5sOWVF537eHUdmS/twqNbYIrOzR5LkpYTk5ufIKciVm587vFfj67rxjJ4+BV46KKu2UW5OpuS4Mnv7JcOQU5gntyBXXnqqvPQ0uemp8kJBGbYtRW0Zti3f0JBST51VrK5ZTkb6cBDrebLONMhqaR+uIRSUMRR+5QUZcnOyhsPXuRXnfv08T1ZdkwK/2yUvO3N4/8vX19vbP/L5iGy+Rm5pYeI/6ZgR+lr3qunQvyiQWqxZa/5Glj++ZWYxjO8FADAPADMbcwAA5gFgYgj+LhOCPyA+0/kvdt+Bo/JXn5JbkCunKF9ucb7c3OxLDuiMrl4Fn94mIxxRdNNaORWliSl4ijEbWxX6zQuyZ5cquvmaiX/eYjFZZ+olyydnTtn5O/DCEfkPHB3ZAy+2fJHsxfNmTpeXbUuuN64OvBFDYVltnTJf/dXRJSMakyS5Wely83Ml05Tv5Fl5aSmKrl4qZ+4syTBk9PUPB4gNLTK6emQODA4/fwyGIflnl2hw4TxFS4tG/1kYCstX2yijf1BuTqbcnCx5menj+rqZ7V0K/vp5eakhRd62SV5qiszWDgV/+6K8YECRGzbKy0gf/+cDeIPGg/+iSH+9XHtAgbRyla/8tAyTLbPjNZ2/FwCQGMwDwMzGHACAeQCYGIK/y4TgD4jPdP2L3WxqVeiXvxteXjAak9XeKTnD++VF166Qs2DOuO5jDAzKbOkYWb7Q7Op5JeDIUuQt64cDjiuYdaZewWd3yl40V9FrVsYV/hk9ffIdOy3fiTMjYZSXmqLYVfNlV80dDriiMVn1zbJqG2TVNUmGIXvJQsWWLIgvAMMwz5PR2y+zrVNW+3AYaAyGhz/nV82/cBjneTIGh2T0D8qIROX5LMnvl+f3yUoNKacsb1LmAaO7V6FfPS/PMmUvWaDA7gNy8nMUeeubkr7HJJLLdaIa7Dys1JzFMn2huK937EGdfuGvlDf3vQplVqph31eVUbhWRYvvlHEFdWhfDtP1ewEAicM8AMxszAEAmAeAiRlv8MdblAHgYobCCj63S05xwfAylYYxvERie5d8x04r+MJLsptaFV2/6ty9xSJRWY2tsppaZTa1Di+HKMlLDcnNyZI9p1xuTtZw55rvyp+SnTnlim6IKfDiHnnB4PCSphcTiSr4wkuyahvlBQOyq+bKXjRPikblP3xCgb2H5N9fLTcvW1Zrh+R6cvNyZC9fpFjV3HP2wEMcDENeVoacrAw582fHf21aqry01HPP+SZvn0QvO1Phd1yn4K9+p8COfbIryxXdtHbmdHpiTJ5rq+nQwxroOCjTCimz+FpllW1WML1s3Pfob9snz7WVUbhW/lCOihZ9WM1HviN/SoHyKt913usi/Q1qO/lfKlz4QQVSWWYWmIn62/bJjnQrq2wzbxQAAAAAMOmu/J8y44rneY6aD39XsXCbXDss14nKcyPKKt2k/HnvT3Z5mKLMtg6ZrR1ySovlZWecv/PM8xR8frfkeYpuXvfaOMuSW5SvaFG+nNIiBbbvVaitU5HrrpGXlipfbePwfmWNLZLnyc1Ml1taqNiapXKKCqSUmRtG2QsrpXBEgT2HhoO8q+aff/BQWKFfPS9jcEiRjWvkVFZIvlcDnFRFN61VbM1S+apPyezqUXTdCjmzSuWljxE2YcbwMtIUfucWWU2tcipnXVH7ZSJ+nuequfp7Guw8ouKrPqroYIt6Gp9Xd8OzSsleqIL5tyiUWXnR+/S17FJK9gL5QzmSpMziaxQLt6vj9P/Kn1KgzOJrzrnGdWNqPvJvivQ3qPnIv2nW6r9maVBccfrbD0ieo/SCVcku5ZK5TlR2pFv+lIKEBXQDHYfVdOhheZ6jwa6jKl5854S6jgEAAABgvPjJA6a9SF+d+lp3K6PwavmC2TKsoGKDreqq/Y2yyjbLH8pLdomYKlxXVm2j/IdPyGztGA4DvANyM9PlzC6TM7tUbl7OqD3jfAePyWpoUfiGjfJSU8a8rTN/tsIFuQo+u1MpTzwtvbKAslOUr+g1K+RUlI7d9TSD2cuqZESiCuzcJy/olzPv3G4yo39QwV/9TkbMVvim6+TlZI55Ly81RbE1Sye7ZEw3KSE5cyuSXQWSzPM8tZ34T/W17FLJkj9SRtFaSVLenHeqv+1lddb+SnV77lfe3Pcpp+IGGcbY3ah2pEeDXUdVuPCDo47nzn6HYkNtajn6PfmCOUrNWTjqfMfp/1V0sEVFi+5Q67Efqv30/6pg/i0XrduJ9mmg46D8qUUKppfLtGbum0VweUUHmzXUdUJWMEv+YI58oRyZvrQxQzDXjan95E/UXf+MDMNSxdr/o2B6eRKqnhjP8xTuPa3+1r2KDjYpOtCsWLhDkqdgeplyZ79D6YVrzjsvjEe4r1ZNhx5Wau5VyizZoJbq76l2z1dUuuyTdAADAAAAmDQEf5j2hnpOyjD9KrrqIzLN4WUWXTuswa5qdZ79pYqqPpTkCmcYz5uS3TVWbaMCO/fJ6B+UU5yvyFs3yCktlNXUJutsg3wnauQ/eEye3yc3P0duYZ68tFQF9h5WbFmV3PLiC97fy8pQ+F1b5DtyUvL7ZM8uk1J4N/d5GYZiVy+TEYkq+PxLisZsOSWF8jLSJNOU0duv0C9/JxlS+J3Xycu4svc+BHBpHHtIbSf+U54bU0r2AqVkL1AgtUSdZ36u7vqnVVj1hyOhnyQZpk8ZRWuVXrBK7af/V+2nfjrciXPVR+QLnPsmg77Wl2TIUEbhmlHHDcNQUdUfyg53qOnQtzRrzWcVSC2SJA12HVNX7W+UP+/9yirdKNceVNvJnyg1Z5HS8pac97WE+2rVePD/yg53vvoUBVKLFMyokC+QJdOXItOfKsuXqpSsefKnFFz6J3CcPM9Vx+n/kRPrV1bZdQplEK47sQE1HPimciveNq073lwnos4zv1BX7a/lec6oc6YVUnrBSmUWr1dKTpUMw1R0sEVNh76t6GCzChbepp6G59Vc/Ygq1nx2SnS1OrEBddU9pe76Z+QP5Sm9cI0yCtcokFokz7XV3/ayuuqeUri3Rr5gjoIZs5ReuFqB1BJZ/lR1N/xOTYf/VYGanymn4kZlFK8b+XfGeMWGOtS4/xsKpBWrZMnHZfpCCqSVqOngt1T70pdVsuTjF5wLAAAAAGCiDM/zvGQXMZ21tfUlu4QZr/Hgv8iJ9WvW6v9v1PHOs0+q4/TPNGf9P8gfyk1SdVc415XZ3vXKspmdw/urRaOKblg9ZgeXlJzNe42BQYX++9dyC3IVu3rZcFffG7muzLZOmS3tsto6ZbZ2yAhH5BbmKXzT5lFdgEgg11XguV3ynakf/tgy5WZlyhgckhf0K/L2N9MteQViE+8rn+d5ig21arDziAY6j8gXzFbBglvj/sH5eMTCHWrY/03ZkU4FUosV7jsrea4sf5qc2IDy5r5PeXPeccF7DHQcVnP1/5MklSz5I6XmLBp1vval+2QFMlW2/E/HvN6JDahuz1fkeY4q1nxWMi2d3XWv/KF8la/6SxmGKc9z1Xjgmwr31Wr22r+XL5h1zn16m3eq5ej3FUwrUfGSj8t1wor01SnSX6tIX52cWL8ce0iuPSjPjckwLGXPul65c94hyzd2V3qiuG5MLUf+n/ra9soXyJQd6VZK1nxll29ResGquMKeK2kOaKl+VD1NL8i0QqpYe8+06+LyPE8D7fvUeuI/5ET7lDv7JuVU3CDXHlIs3Ck70q3oQIP6WnYpOtgiXzBHaXnL1NeyS75glkqW/LGCGbMU7j2r2j33KW/Ouy6452Xi63dHdeQ5sUF11z2lrvrfynMdZZVufKWD9oBcJ6Jgermc2KDsSKdScxYpe9b1SstbOmZXX7j3jDrP/kL9bfskw1QgtUShjFkKppfLCmYP//8Y7ZMT7ZPrhBVMK1Mos1LBzNmS56pu7/3ynJhmXf3ZUW8ocGKDaj7yHQ10HlbB/N9TdvlbZ+S+f1fSPAAgfswBAJgHgIkpKMgY1ziCv0tE8Jdcnufp9It/paySjcqf975R51w7rJrtf6uMwrUqrPrglO1Em8qMji55udljf97CEYV+u214yUzLlJOfI7cgT8bgkHyn6xRbvkix1UvOuTYRf7H79x2R2dymyNvfPK6vafDpbTJbOzV089ukYGB8D/E8Gf2D8kIByZ/4H1TjDYbCMrt6ZXb1yOzqkRxX0XXL6Zq8QvEN/pVjeM+qY7Ij3cM/AI/1yo70KtxzUrFwhwzDUihrnsK9ZxTKqFDp8rtk+RPXwRvuPaOGAw/JNP0qXXG3gmmlcu2wwr01Guw+Ll8wR1mlm8b1Q3U70qPmI9/RUPcJFS/5o5Huvuhgq87suEclSz4+qmvwjWJD7ardc5/8KYXyB3M10HFQs9d9Xv6U15Yct6O9Orvriwqmlaps5adHwgbPc9R+6jF11f5GmcXrVVj1IZnWhf++cu2wuuqeUufZX8r0pSh/3s3KLL72kpYlvNCzGg9+S0M9J1Wy5I+Ulr9c/W371V3/tIa6jyuQWqTy1X81ZrfkWK6UOWCw65jqX35Q+fNuUW/TCzKsoGat+ZtJCbgTwfNcufagogNNigw0KNLfoEjfWYV7zygtb6kKFtx23uByeFnMGvU171B/28tKzV2swoUfHLVXXfvp/1XX2V+q4uq/UzBj1uS8BtfWUPcJ9bfv10DHQcWG2mSYPhmmX4bpl+uEJc9Tdtlm5VS8fSRgd52IBjuPqK91r0zTr+zyLeOuMTrQpMHuE4r01w0H8QP18pyoDNMvy58hXyBDhulXpL9++PkyZPmH37Q0a83fKJB67qoRnueq/dR/q6v2V8oq3aTChX8wJTolL6crZR4AMDHMAQCYB4CJIfi7TAj+kis62KIzO/5eZSs+pbS8c/f46jzzpDrOPK75BX+s1EMNimy8Wm5ZURIqnX6s2kYFf7tNTnG+om9eN6rryugbUPA3z8uIxBR58zq5xfmSZQ2f9Dz5Dh1X4KWDcmaXKbJpreR/7QcZl/oXu9HZo5SfPSV5niIbr5azYM64XkfkumvkVE7OD6EAxIdv8Kc/z3PU17xTHWd+rthQmyTJ9KXIF8iU5c9QMKNCqblXKTV7oUxfSEM9p9V44Juy/OkqW/Ep+VPyL7mG/raX1XT4Owqml6t0+V3jDp0uxHNtNVc/or7Wl1RU9SFllW5SR80T6qr9leZufOCie+0N9ZxW/csPynNjKl78EWWWrD9nzGBnter3/fPwB68Gkq+8Oalg/u8ru/wtcXX/xMIdaj/5mPpadys1p0plKz6d0ADBjvapcf/XFR1qVemyPz1nH8NIX53q939dgZSC4e7GcTz7jXNApK9OLUcfVVrBSmWVvlm+wPj+IZNMrhtT7a57ZfkzVL76/1O0v0G1e7Yqq+RNw284S6LYULsGu6o12HlUkf7aV7pEw/Lc6MgYw7BG9pDMKFyjtPyVl9x15rm2al/6B0mmKq7+24T+OYwMNKnr7JPqb9sn1wkPdx7mL1covUKeZ8t1Y6+EcZYyi9fLF8xO2LPfyPNcuU5EphUa9TnzPFfRwWaFe2oUHWhQRtE1CmWOvQLGq3oaX1TrsR8olDVfpcv+JKFvjJjq+F4AmNmYAwAwDwATQ/B3mRD8JVdP44tqOfZ9zdv01TGXuHLtsGq2/a1y2rNVNrBchu0otmKxYquuovvvIoJPPisjHJERtSXbHl6+s3KWjI5uhX7zgmSZCr9tk7yssScbq7ZRged2ysvMUPhtG0c6ty7pL3bPG6nLy86U2daloVtulHzW2ONjMaU89mu5OVmK3PAmvubAFME3+NPXcOC365XAr1XpBSuVO/sdCqSXXbTLKTrYqob9X5PrRFS2/G6FMudMuI5Xw7P0wtUqXvyRi3bHxcPzXLUd/7G6G559pZPrRYUy56j4qo+O6/qBjsMK951V7uybzhukDHYdV3SwedSxUMbsi4YEF3xu52E17P+G8ue+V7mzb5rwfV5vqOe0mo98V64TVvmKT5+3Q2qo55TqX35QmUXXqnDR7RcNkF4/B8RiMdW+dJ+cSI8ce0iSp4yidcopf8ukdY0lwkh327q/VzCtVJLU3fCcWo/9UCVL/1gZhVdLGv7zFOmvk2sPKSW7atKWdHRiA+qq/Y36WncPh/GGqVDGbKVkzZPpSx3eG9IKDe8zl1qkQGrxpHSYhfvOqu6lrcqd8w7lVb77ku8XHWhSx5mfq69l9ysdvBuVnr9CgfTyK2Z5zMHuE2o6+C2ZvlQVL/6wUrIXJLuky4LvBYCZjTkAAPMAMDHjDf5m1noiuOIM9ZxQMK3svPvamL6QcrPXq7P5p8radJuCPa4CLx+R2dKm6OZr5KWefz8co69fxlBEbkHujAuMzPYuWc3timy5Vk5JoQLb9ir47E45NfUyG1vkZaQrfMNGKfX8yzA6FaUKv3OLQr/6nQJ7Dim68epLrss6eVZWS4fCb3+zvPRUpfz3r+Q7ckL28kVjjve/fERGJKro+lUz7msIAInkujH1Nm1XV+2vFBtqU1r+CpUs/WOFMirGfY9AaqFmrfmsGg98U7V7tiqYVqaUrHkKZc1TStY8+UJ54/pBvhPrV3P1/1NqziKVLPl4wpe2NAxTBQv/QKY/Te2nfipJKlhw67ivT8tborS8JRcck5qz8JzOuUuVlrtEObOuV0fNE0ovWK1A6sRXOHDdmDprHldn7a8VyqhQ2YpPXXDvupSseSqs+kO1VD+iQEa5csrfMu5nddU+pUh/vSrWfFb+lAL1ND6v7vpn1Nv0ogqr/lDZZW+e8OuIl+d5cu1BxcLtig11KBZulx3ukGEFlVF4tYLps2QYhiL9Deo6+0vlznnHSOgnSVmlb9ZQ1zG1VD8qJ9avoe5TGuw6Iic6/EbBtLxlKqz6UEL3nnadiLrrn1bn2V/J82xlFq9XWu5VSsmuGllu8nIKZcxW7uyb1HHm5zJMn3Iq3h7X/6Oe5yo60KRw31kNdhxWX9se+QJZKqz6oDJLNkzZZVQvRWr2AlVc/bdqOvRt1e39R6XlLVP+3PdN6eAbAAAAwNRG8Idpbaj75EV/uJbfW65uM6iOyB4Vrvig3KJ8BZ/dqdD/PqXYysWyF1a+tkylJDmO/AePyb//qOS6cvNzFFuxWM6skismPDIGBhV4dqe8vGxFr111znnf4ePy0lPlzC6TDEPR666Rc7JYgZ375ObnKvLW9ePa987LzVZsxVUK7Nqv2NKF8rIvYRm2SFSBlw7KnjtLbunwDx9jVXPlP3B0+GsYGr38mtnRJf+Rk4quWSovI23izwWAGcyxh9TT8Jy66p6SE+1TRuGaVwK/iXWm+QIZKl/1GfW17NJQzykNdh1Vd8OzkiQrkKWUrHlKyZqrUNZ8hTIqzulI8jxPLUd/IM+NqWjxnZOyn50kGYah/LnvleVP10D7PqXmjP0Gk6kmr/Ld6m97WS1Hvz+87OYEPj/hvrNqPvKIYoPNyqt8j3Jnv12GcZ7O+tfJKtmgaH+92k78p4KpJQplVmqg84gGOg5osPOIUnMWqXDR7aOCm+hgizpqfqac8reOdIDmzr5RObOuV8vRR9Vx+r+VUXh1wgIs140p3FMjJ9YvJ9YvNzYgJ9Y3Kuhz7aGR8aYVlC+ULyfWq66zv1QgtVgZRWs10HFY/pQC5cy+cdT9DcNQ4aLbVbv7H9R67EcKZlQoq2SjUnOvkmsPqvX4v+vszv+f8ue/X1mlb57wn9/hcKxRg53V6qz9tdxYv7LK3qzc2e8Y2dMumXIr3/XKHnb/o6HuEypa/JFzlm+1o72KDjTKDncqFu6UHe4cXiazv1aeE5VkKJBWosIFtymz9E1XZOD3ev6UAs26+m/V37pHHTU/09ndX1RG4Vrlz78loUExAAAAgJkh6Ut97t69W9/5znd06NAhtbW16aGHHtL1119/wWt27typrVu36sSJEyopKdEnP/lJvf/97x815oc//KG+853vqK2tTYsWLdLf//3fa/ny5SPnI5GItm7dql/84heKRqPauHGjPv/5zys/P749Z1jqM3nsSI9Ov/hXKlnyx8ooOk83WcxWyn88oeaKTrXYO1W48A+UXX6dNBRWYPcB+U7XyUsJKba8SvbCSpltnQps2yuzt1+xZVVyC/PkO3RMVnO73JxMxZYvljN3er/71uzoUvCpFyXbkRGNKfLWDXIqXnu3ujEwqJT/elLRdctlX/WGpYZiMcnniy8AdRyl/PRXcgpyFd1y7YRb+QPb98o6Vavw+9/+WqfmUEQpP31S9sJKxdateO019PQp+Mx2SYbC73mrZE7OD4YBTAxLekwPnuep7qUvKzLQoMziDcqpuOGSusjOx4n2aai3RuGeUxrqOaVw7xl5blSBtFKVLPkjBdPLR8b2NL6olqPfU8nSTyijcHXCa7kSDHYeVf2+fxqzWy421C4rkHnepVF7m3eopfp7CqSVqnjxnXF3HHmeo4b939BQz0nJc+W5tgJppUrJXqDepm0KZVaqdNknFUzJUHZ2qvY/da+ig+2afc3nz9k/0Y50q2bHPcou26KC+bfE90kYQ7j3jJqPfPd1S6wasvxpsvzp8oXy5A/lyZ+SL38o/5X/5sn0p8swDHmeo8HOo+pr2aX+tpeHlz5d9f+dt2vTiQ3K85xzwi7HHlT7ycfU0/g7pWTNV3rhGgXTZymYUS7LN3a46bm2okNtig02K9LfoHDvaQ31nBoOKA1TmUXrlFf5noTsm5loA52H1XzkuzIMS8VXfUymFdBAxyENdBxUuPfMyDgrkCl/KFf+UIGCmbMV+v+zd9/hUVTrA8e/W7O72WTTe6O3EAgdBEVFQMQGFuwFe28/9ar3eu0VK/beG4IFO6goxQKE3lt6b5tt2TLz+yNkLzEJCTUQ3s/z5FFmZs+c3SQnM/Oe875hGYSEpbaa0aOzUxU/9uIlVGz/CoMpktTB/+o0aU13JdcCQhzZZAwQQsg4IMTeOWxSfbpcLnr16sXUqVO57rrr2jw+Pz+fK6+8kmnTpvHkk0+yZMkS7rnnHmJjYxkzZgwA3377LY888gj33XcfAwYM4J133mH69Ol8//33REdHA/Dwww+zYMECnnnmGcLCwnjggQe47rrr+Pjjjw/o+xVNNaRUcu5VIXt37RYAzBHdWz1Gt6MAjc+PbeCZeEutlG36kICvjqiMyXiPHoZvQB8MK9dj/HNlMC2kEheN+9RxqJENM6YDqYloSyswrNxAyII/8fr9DSvMDkPBunsR4dQfPwrj4uUYFy3DHRsN5oYHbvp1W1ANevw9Mpo30I5Vfs1PqsOb3YeQhcvwV1ZDfPQeN6GtqEK/YRveYQOapmc1h+Dr3wvjinX4+3RDNZsxrNqAYfVGVIsJz3GjJOgnhBB7yV29AU9dLikDb8YS1eeAnUdnDMMak4U1pmGClqr48di3U7bpI/KWPkJMtylEpByHz11O+eZPCE88SoJ+u2GJ6k144lFUbP2c0Oj+GEyReOw7qMr9Dkd5DiHWZJL6X9ssUNQQVH2X8MRRxPc6b6/qv2k0OhL7XU7F1s8xhiZjjcnCYI4FIDxhBEWrZpK//AnSB91IRe1SXNUbSRpwY7OgH4A+JIKo1PFU5f1ARPJYDOY9v36Ahp+nqtzvqNzxDSZrKqmD78RoiUOrt7R7xZ1GowumcFUC5+Gvr8JoSWj1+NZWKOr0FuJ7n09Y/FAqts6hYuvnqIofAIMpBt0/AoWK34XXXQ5qw4MQrd6C2daVyLTxDWlyw7u0+NkdKkKj+pE+9N8Ur32dgpwZAGj1ZkKj+hGRfCwmWxf0IVH7tUZnZ6DR6rElj8FgiaMgZwaO8mXBmpFCCCGEEEII0R4dvuJvV7169Wpzxd8TTzzBggULmDt3bnDbzTffjN1u54033gDgzDPPpH///vznP/8BQFEUjjnmGC644AKuuOIK6urqGDlyJE8++SQTJzak6Nm6dSuTJk3ik08+YeDAge3us6z42zuqquKu3kjl9q9w27eRPuw/TWqktEfZ5k9wVqyiy8iHWj0m5LtfQaOlfuLRqKpKdd4PVGydjS35GOJ6nhN84KOprUO/YStqRHhDUK+VWbXGxcvQb87Fc9JYlJgW0u4oChqHC43DidbhQlPnBK0WX/+eDSvlOoqqol+7GePfqwikJ1N/9NCG/rg8mL/4ESUhlvpjR4Dfj/mTb/D36opvaFbb7baXomD64kdUq5XApKP3bEaP34/pm18A8Jzcwuo9vx/z59+jhFnRuNxonW58/Xvhy+oN+rZTkwkhDj6Z2Xd4KFz1An5PJWlD/90hq00UxUfF1tnU5M8nNDqTgM9JwOcgfei/0epbrzErIOBzsuPP/xISmgAaHa6qdRgt8diSj6Gm4BcUv5vEzCuxRPYCoLZoIaUb3sOWNIa4XucesBSqXlcJhSueAwLotH5MEf2J631xq8crfg/b/7iH0Ki+JPS9tNXj/F47tYW/UVf6F1q9GaMlAYMlHoM5hpr8eXjq8ohOn0RUxqS9CmgeKKrix+sqpd6RT70jH8XvabJfqwvBYEnAaEnAaIlHZww/LFd+qWoAR9lydCERmG1d25U6VjQoXPkcPnc56cPuPaR+dvcHuRYQ4sgmY4AQQsYBIfbOYbPib0+tWLGCkSNHNtk2evRoHn74YQC8Xi9r167lyiuvDO7XarWMGjWKnJwcANasWYPP52PUqFHBY7p160ZSUhIrVqzYo8Cf2HOu6g1Ubp+Lu2YTpvAMtFoDzvKVexz4c9dsxmxrfbWfprYOXUkF9ccMa/i3RkNU+kR0BiulG98n4HOQ2Hc6Gq0e1RaGb/jAJq9viImrTR5+eYcPRFtVS8jPS3CfPC64Sg5AU11LyK9/oK3ZGQzWaFAtZjSeenS5hdQfOwLV1vQXU1NbhyFnLRqvHyUiDDUiHMUWhhJpA+N+qmWiKBiX5KDftB1fVm98g/r9L7BpMeEdNYiQX/5AtzUPTX09Gn8Af9/WP9e9otXiy84k5Nc/UIrLIbKdNfdUFePvS9HYHXgmHdvy6j29Hl92P4yLlhFIjMN9wuhmn7MQQog943WV4axYRXzvCzos0KDVGojrcTahUf0oWf82AZ+D1EH/J0G/dtAZQonreQ7Fa14mxJpKYr8rsMYNQqPREp4wkuI1r1K44hlie56NBh2lG99rNinqQDBaEkgdfAfFq2eCYie+51nsbgaiVm8iusvJlG38kIjUcZjC0prs99TlUpP/M3VlfwPahtTvqorXVYqjYiWK34XREk/a4DswhR962Ro0Wj0h1mRCrMnAiI7uzgGj0egIix/a0d04LMV0PZ3cvx+ktngREcnH7PZYn7uCwlUvoPidDSlkramEhKURYk3BYI49LIPGQgghhBBCiL1z2AX+KioqmtXhi4mJweFw4PF4qK2tJRAIBFN6NoqOjmbbtm3BNgwGA+Hh4c2OKS8v36P+aLUatFq5iWqvupxvKNr0DqawVFIzr8CaOpSClS/grl6LvvtJ7W5H8XvwOguITjsWvb7lB1S67XkQYkTTNbXJMdFpR2M0hVGw8iUcpYuITD22xdeXbPgIV81mMobcgVa/M8Cn1+I/YRTGOT9h/v0vfBPHgEaDdtN29ItzUMOt+CeOQbGFgdUCWi2aqhoM85Zgnvsz/mOGoWQkg8+HLmc9+jWbUC0m1KgIdAXFaNZvAVUFjQYlIRYlLQklLbHtQJbbA4oKof+ohVLvxTB/CdqScnzHDEXt2aX5L333NJT8YkL+WgEGPUq3NHS2PU+92qbuqahrNmBYtga1Tzo6XdsPFnXL16LPLcA3bhS6+BZWWDbq0xVfYgxqRDg6eaghxCGv8fe/PeOA6BiVxb+iN4YSmTwCbQd/n2zxWYRG3ofPXYnZltGhfTmcRCYNITTyUQym6CYP/PX6MNIH30jpps8o3/QRAFFpxxHf65yDEhjQ6yPpOvJurBYNLo+OQGD3s3ujU4+mtvBnqrbNJnXQzaAq1JXnUJU3D3fNVgymKOK6n0ZE8hh0hv9NLFJVlYDPgU5v7nQrpcSRQx+ZTkTSCKp3zCUqedT/7kn+wesqp3DFDNDoiEgahacun7rSxVTnfQc0BNFNO4OAZlsGYbHZezWJQlVVaosXU5X7I6FR/YjOmIg+JLztF7ZArgWEOLLJGCCEkHFAiANL7oL3UVRUqMye3AOhg48jzK3BvM2L5pcCtD10xMX3JC9vDmGhoDe2byVYbek2dFoNCelZmMOav0ZVVHzb89Fmdic0tvnNaGTkaHz2VdQW/EBGv/HNaou47YXUFf+GqirU5s2i6+ArdnlxKMppx+Kb9ROm1etR3fUo67ehycygrncIIaEqtuj4JserKafg/2ER+l+WoO3bDTWvGNVTj27UAHRDMtEYGn4VVX8AtboWtagcZVsByoq1sHQVmshwtGmJaFIS0KbEowk1N5x3cy7Kph0o+SWgqmhT4tH27oq2Zzp4vPi+WwBuD/qzJ2BJab0WjTrpKHzvfo3qcGIYPQBte1fk7SHl2GH45sxD3VFEeJfk3R4b2Lgd/8r16I4ZgiW7V3C7o3IzxZu/RaPV033Ytf97QdQBCFYKIQ6o8HBz2weJgy7gc7O1dAlJPccTHRPZ0d3ZKRRo/e+YaMVu/p5HjbyMiuTeeN1VJPY8uUOuZ8PbWdpNk30+m5Y8Re2OT6kpWYHXXUV4bB/Sj7qZyMRBaLStpY6UawNx+LMMOodVP/4fnsrfSe59arP9HkcJO1Y9hTHERJ+j78Jo/t9kOZ+nFmfNDly1ubhqcnHWbKCueAEVmz8iKmU4sRnHYo3q3q7ff4+jlB05b1JbthZbfH8cZYupK/2d+K7jSOw5GcNeBgCPlGuBuspNGE2RhITGdnRXhDgk1JatYeWSt+k79j97PX4IITqHI+VaQIiD7bAL/MXExFBRUdFkW0VFBVarFZPJhFarRafTUVlZ2eSYysrK4ErBmJgYfD4fdru9yaq/yspKYmP37EK8qsopK/72iBlGTcI9xItuUy66dVswbSjFn1hP4bZlhMcPblcr5XmrQWvB7QvHU+1stl+bX4yh1oE3NQm1hf0A1sSJlO5YxPbV3xKVfkKTfQUrP0RjsBGTcSIl699Ha+6GLXGXFEzWcHSDMtH9tQKHsZLK7l7sjgUof3gADTFdTiKm28lN02WNHorOZkO/s86ef/gACAsFRz1Q/7/j9CGQltLw5fOjLSpFm1+MdmsBmuXrAVDDQtE4XAAoiXEERmSDVotuay7aHxfDT0tQdVowm/GMH47HW4R37WrCYgc0mQ2/K80xw9CWVOAymKCVz2yf2WwYY6LQLl+HIzqq1Vn+mrJKDN/8jtIlFX/3LqhVdTgqVlO14wdcNZvRG8Pxe+1Y4sdiDs84MH0VQhwwOp2W8HAzdru7zdU+4uCrypuP1+shJGoU1Qfq74E4JOjCsjGHQU2N6+Cedw/HANXUk5DwHpRs+xVbwggSMo/DFJYKQE2tp41XC3G4sxCWeDT5a7/AGDkcvfF/mUC8zlJylz2JVmckeeDNOD0hOD27jtt6COmOOa475jiIBnyeamqLFlFZtJCSrb9iDE0gInkMtoQRLa7eUwJeqvN/oXzrl+iN4SRlXY81JpMYn5PK3B8p2vQThZt+xByegUZrRKszotEaMIUlE5V2Qqsrbo+kawFX9WZylz2JPsRGxtC7MJgiOrpLQnS44s2/4nGUsHX5x8T3Pq+juyOE6ABH0rWAEPtTZDsX7Bx2gb+BAwfy22+/Ndm2ePHiYF0+o9FIv379WLJkCePGjQNAURSWLFnC+eefD0BmZiYGg4ElS5YwYcIEALZt20ZRUdEe1/dTFBVF2V11EtEirR5/727QPQPLB18QQgT2slVYorPb9XJH1SZMtm4EAg11+IICAXS5RWhXrScQYcMXYYNWCsRqQ2IJix9J+fbvsCaMRqtrSJ3jrt2GvXQ5CX0vxRo/nLCqzRSvex9DaAZGS1zw9TWxTiqSF+HFgYF4IpKPJyx+KHXlOZRv/wpH1SYS+01HHxIRfI2/bw/qe3YF/c6Z6W0Vr9VoITmx4QvQuNxoSyrQllWg2sLwZ6SAeZc0PV3T8NeU497wM077RtwWF75lnwd3Gy0JJA+4AYM55p9ngqjIhq8DXFBX1yUVZfkaAp56/JoWZuh7fZh/XIQSacMzchAEVApXPo+zcjWm8K4kZl5FaHR/ti+5h8rcX0joc9EB7a8Q4sAJBBQp4n2IUVWFytx5WGMGodHb5PsjDqg9GQMS+1+LqgbQ6S0A8rMpjigRqROpLvidorXvERKWRsBbi7++BnfNZnTGMJIH3oxGH96u3wuN3kZE2iRsqRNxV2+ktmghZZtnU7bpc0JjBmBLGo3OYMVVvR5X1QbctVtQ1QCRKccR3eUUtHpTw3k0ZqIyTsWWfDw1Bb/idZWgKj78Pg+qYsde8je1pStI7HsZBnN0q/3Zn9cC9pI/qC1aSFzPaYRYU/ZLm/vKX19LwcqXCQnLwO+pIm/5sy3Wq/V763BWrCQ8YYSkJxadnqoq1JWvJsQSQ1XBAqwJYw6Z31khxMEnzwWEODA6/IrS6XSSl5cX/HdBQQHr16/HZrORlJTEjBkzKC0t5fHHHwdg2rRpfPDBBzz++ONMnTqVP/74g++++45XXnkl2MYll1zCHXfcQWZmJllZWbzzzju43W6mTJkCQFhYGFOnTuXRRx/FZrNhtVp58MEHyc7O3uPAn9hHeh1KdCTWQAI1lWtQVbXNVDOq4sdj305M15xHvXoAAQAASURBVFOC2zTVdvSbtqHfmoum3kcgLhrf0Cxoo63ojJOoK/mDmoJfiUqfgKqqVGydgzE0mbD4YWg0GuJ6nou7dhvFa18ldfAdKD4nZZs+xlG+nNC4TOIzTsIU3jXY7+jQRMy2bhSvfZ3cvx8kse90LFF9mrzn4HtRFco2fogpPANb0ug2Py7VYibQNZVA19Qm2/1eO3VlS3GULcdduwUAc0w3rGF9CAlLJcSaChoNRateIG/ZoyRnXYepg1bKBdIS4e+VaAtLISWp2X5dXhEatwfP5GNBp8Njz8VZuZr43hcRnjgq+Dnbko+masc3xHafis4gqbyEEGJ/cFauxucuJ6Hv9I7uihBNNE7QEuJIpDOGEZVxEhVbP8ddswl9iA2dMQJr3GCiu5yM3rjnafI0Gi2WqD5YovoQ8Dmwl/yJvXghhSufA0CrM2GO7ElMtymERmditMS32I7OYCW6y+Rm29212yhZ+xp5Sx8kvvdFWGMH7nEf90TA56R88ycoAS95Sx8muutpRKaOa5qB5SBT1QDFa19DBZIyryTgc5K//HGK1rxMctZ1wQCfozyH0o3vE/DW4bHvIK7XeS3eE9c7i1ED9a3ex3nqcqnK/Z7I1BMw27oewHcmxL7x2HcQ8NbR9aib2PTnq5Rv/rRhAoOU0RFCCCH2mw4P/K1Zs4YLL7ww+O9HHnkEgNNPP51HH32U8vJyiouLg/tTU1N55ZVXeOSRR3j33XdJSEjgwQcfZMyYMcFjJk2aRFVVFc899xzl5eX06dOH119/PZjqE+Cuu+5Cq9Vyww034PV6GT16NPfee+9BeMfinwLxMdi2R1Bh3ITXUUBIWOpuj/fU5aEqXswRPRo2uD2Yv56PatDj79EFf48M1Ij23fwazDGEJx5Fdd4PRCQfg7t2K+6ajSRlXRe8SdTqTST2u5z8ZY9StOoFPLXb0OiMJPa7HGvckBYvTi2RvUgf9m9K1r5B4crnSB54I5bI3s2Oq9rxLbVFv2EvXkSINRVTeHq7+t2o3lFAdf486kr/AlXFEtWH+F7nERozsEkaoEapg++kaPWL5C9/ksR+lx3wG/AWhVvRRNnQ5hW3GPjT7yggEBeNam1YtlxbuAB9SBThiSObfNa2pNFU7ZhLbfFiotLGH7Tuiz2jKn58nqomq2WFEIeGgLeOuvIcNFo9Wp0JrT6E6rwfMYV3kQeGQghxiIlKn0Bk6vEHZDWYzmAlMvV4IlKOo96Rh6r4MYWl79O5zLaupA29h9IN71K0+kUiUo4jptuUZrXV95fK7V+jKgEyht9PTeHPVGz5HGfFahL6XLzbFYf7SlVVfO5yAj4HpvCMJoHGiq1f4K7dQkr2rehDItCHRJDU/2oKVzxL6cb3ie1+FuWbP8FesoTQmAFYInpQvmUWRks8kWlNS1G4qtZTtPpFlEA91thsYrqdjtHSUPtW8Xuo3P411QXz0Wj0uCrXkpR1HZbIngfsfQuxL5wVq9AZLITF9CK+51nk5TyHs2IF1tj2ZYASQgghRNs0qqpKnsp9UF5e19FdOOzp8oowzP+dNem/EdV1MlEZJ+72+Kod31GV+x3dxjyFRqtHt3kHIQuX4po2uWnay3byearY8cc9RKVPwlGxAq3WSMqg/2sW0KvOn0/55k+wJR1NTLfTW62VtytV8VO4aib1dbmkDr4jeHMGDTdvBSueISp9Is6qtaiBetKG3tPmjPaAtw5XzWZqCxfgql6PPiSKiJRjd6blabtPSsBLybo3cZTnkNBvOuHxw9p8zf6k12sJW7We+tWbcZ11UtNVmV4flo++xjskE3+/ngR8TrYtuoOojBOJzjipWVsl697EXbuVjBEPdOhs3iOFqqq4qzdisMRiMLX+AMVfX4Ozci3OqjW4qtah+N0kZl5JWFz7angeLBVbv8BZtYbEfpe3OotdHBh6vZbIyFCqq52S0qOD+L12CnKewusspknKbCCx3+WExQ/tmI6JI4KMAUIcOVRVpbbwV8q3zMJgiia+z8WYbV336zhQ7ywm96/7iOl6GlHpEwFwVW+gZN3bKAE3yVnXY47o3uJr3bXbqCv9C399Nf76anyeagK+OjRoQKtDo2n40hltGMwxGEzRGMwxKH43Hvt2PPbtBHwNdRV1xjCsMQOxxg5C8bsoXvsasd3PbBbEs5f8Scm6N9DqTKDRENfjbMISGiY5lm+dTXXuDyRlXYM1ZgAAdWXLKVn3OpbI3oTFDaFi+1f462uwJY3BEtGLiq2f4/faie5yCrakMRSveRl37TaSsq4hNKrvPn22QhwIuX89gDk8hX5jbqCqykHusmfwuctIH/5ftFpDR3dPCHGQyD2BEHsnNrb5Yp+WdPiKPyECsdGEoCNUn4Kzak2bgT9X9TrMkT2DM1B1BSUoMZF7FfQDMJiisCUdTeWOuaAqpLYQ9AOITD2e8IThe5RWUqPVk9jvCvKXP0bhyudJG/IvdAYr/voaite9gSWyN9FdTyU8cSS5fz9I+eZPiO99YZM2lEA99pI/8dRuwV27DZ+7DABTeEbDqsPY7D2ajavVGUnMvIKiVS9QnfvDQQ/8AWi7pqD5azXaypqG791OuvxiUBQC6Q35/e0lf4AawJbYchpUW/JY7CV/4KpaS2h0/4PS9yOVovgoXf9Ow+pSwBTelbC4wVjjBgEa3DWbcdduwV2zGa+zCNBgCu9CZOoJeOzbKdv4AWZbd/Qhtg59H428rjKq835AozWQt/RhEvpOxxqT1dHdEuKg8NfXUJDzFErAQ8aI+zGYolEC9Sh+D6rqx2CWFbpCCCH2D41GQ0TKsZgje1G6/h3ylz9OZOo44nucBrQ9abE9KrZ8hiEkiojU44PbLJG9SR/2H4pWv0jhqudJyb4FU1jT7CrOyjUUrX4JvTEcgyWekNAUQqP7ozOGgdqQqhM1gKL4CXhr8bkrcFWvx1dUiVZnxBTehYiU4zGFZ6DVmXBUrMRRvpzaot8BsMYNJiJ1XLP+hicMJ+B34q7eRGyPM5tMqIvpeho+Vxkla18nZdD/UW/PpXTTB4TFDSGhz8VotHqs8UOpLfiFyh3fUlu4AEtUX5IH3hzMsJGUdR3Fa16haNULJGZeKde44pDi81RR78gntmvDcx+NRkNsjzPJ/et+avJ/Jip9Qgf3UAghhOgcJPAnOp45BMUWRpg/kaLaPwj4XOgMlhYPVQL1uGu2ENPjzJ0bFHSFJfgz9y2NSVT6RGqLFmKJ7v2/FKIt2JtacjqDheSs68hb+ghFq18iecANFK99HY1GS0K/6Wg0WoyWBOK6n03pxvewRGUSFjcIVVVxlC+nfPNn+L01mKyphEb3wxR+MmZbN/Sm6L3Oga/RaAlPGEnx2lfxuSswmGPaftF+pEmKQzUa0OUXNwn86XMLUGKjUK2WnbODF2CNzW41WGQK70JIWBo1Bb9I4O8ACvgcFK1+CY99Bwl9LgGNhrqyZVRsm0P5ls+CxxktCZgjuhOVfiKhUX0bHpoAfm8duX/dR+nG90nqf80hUbuhctuX6IzhpA25i9KN71O06gWiu55KVPqJh0T/RNvqncXojWFS43MP/S/oV09K9q3B1a46rb5dq8aFEEKIvRESmkTq4NupzptH5favcFWuxJE6GLfHj6Jq0Wh0aLVGtAYLOr0FrSEUgymmzXTxzso1OCvXkJh5VbOVQo33YQUrnqZwxbOkDLqNkNCGUgOO8hyK17yKJTqTxMwr9miVUWPSpH9eM5ojuhPTbQpeRwGu2s3YEka1el0ZmXIckSnHNduu0WhJ6HsJBTkzKMiZgeJ3E5FyLLE9zv5fKQqtgci08YQnHoXXVYopvEuT82h1RhL7X0XJ2tcpXv0SMd2nYksaI7VSxSHBWbkaNFpCozOD20JCk4hIHkvVjm8ITxy5V3VLxZGhfOtsvI5CbMnHEBqd2akyPzmr1lK59QvQ6AiN7oclql+zFNJCCLEnJPAnDglKfAzhZS6KbAqu6vWtpgR012xGVQOERvYBQFtagcbnJ5CSuE/n14dEkDbkTvSmqH1qpzUGcyxJWddSkPMUuX/eh6++itTsW5tc0IYnjcZZtYayje+h05upyv0eV/V6QmMGkNrjVgzm2P3ap9DoTDRaPY6KlUTuMjv2YNDotCjJCegKivFl70w/4/OhKyjBm90PAHfNRryuEuJ6ndd6OxoNEcnHUrrhXbyuMqkjt4dUxY/fW0fAZyfgdTSkNdIaCAlNwmCJQ6PR4XWVUbTqeQI+JynZt2C2dQMgPGEEAb8bV+Ua0OgwR3Rv9QZNbwwjvtd5FK1+CXvJEmyJow7m22zGY99BXdnfxPe+CH2IjaT+V1O14xsqt31BvSOfxH6Xy8X1fuSsXIO95E9iu5+x31Z8umu3UrD8SQBCYwYQnjiK0Oh+aDS6drehqirOipV47DsI+J0oPhcBvxODKYa4ntMOSA2ljubzVFO44imUgHdn0E/GTCGEEAePRqMjKn0CoTFZVG6dRW3ZGrz1XhQlAKqCEqgn4HeB+r90X5Gp44juelqLtQFVxU/55k8xR/RqtTaYVm8iecANFOTMoDDn6YZVdHW5FK97A2tsNol9p+/x3/zdTRLTaDSEhKW2Wbd+d7S6EJL6X0PhyuexxmYTlXFSi+fUGUJbrcmr1RpI7Hc5ZZs+pnzLLKp2fIst+RgiUo6VoIroUM6KVZhtPZpN9o7ucjL2kiVU535PbI+zOqh34lDmqFhFde73GMxxFK2aicEcS0TyWMITj2p18UB7eJ3FOCpWEZEydq8mSAR8Lhxly3BWrSY0egDhiSP36HmCz11O+ebPcFSswBzRE50xjOr8+VRu/xqdIRRLVD+ssQMJjcpEq9+7TGdCiCNT53uqJQ5LgbhoTJu2Y0xIwFm5ptXAn6tqHfqQKAw7a+Xp8otRzSaU6Ih97kOINWWf29gds60b8X0uomTt68R0m9psZaFGoyG+9wXk/vUABSue3hksvO6ApWbR6k1YIvvgKF9x0AN/AEpaIvpf/wK3B8wmdPklEFAIZDR8H2oKF2AMTcQcsfvVnGHxQ6jYOovaogXEdj/zYHT9sKaqCu6aTdiLl1BXvgw14G3xOI3WgNGSgL++Gp0hlNTBdzYLEuj05nbXAbPGZhOeMJLyzZ9giey12xqBB5KqqlRs/RxjaBLhiSOBhpnV0V1OxhiaTPGal3HEDpL6ZvuJu3YbRatfRlX9uGs2kph5VasPqNrL762jeM2rmMK7YI0bhL14MUWrZqIzhhPd5WQiko9psw2fp5qyTR/grFiF3hSFzmBFpw9FqzdjL16EqgaI731hp1r96fNUU5AzA1X1kzrotv0+mUQIIYRor5DQRNIG3dhiXR9VVVACHhSfC0f5ciq2fYmzcg0JfS/BFN4leFzA56Q67ye8rlLS+12+27/ZOkMoyQNvomD5E+Qvf5yAz0F4/DDi+1y0R5OGDiZ9SATpw/69T21otHrie59PVPpEqvPnUZM/j+q8HwlPGEl0l8noQyKavcbvtVNb+BsmWxdCo/rt0/lF56IEvAR8dQS8dQR8daiqitESh8EU0+7guRKox1W9gZiupzbbpzOEEpFyHNV5PxGZPlEC1KKJgM9B6Yb3CI3OJCnrejz27dQU/ELF1tlU5f1AxrB7gxmH2svrKqFy+1zqSv8GVHyeCuJ3M/F8V6qq4KxcQ13JHzgqVqKqAUKsKZRueIfaogXE9Tynyd+sJq9V/Pg8lfjc5bhqNlGTPx+dwdpQyiduCBqNBlUN4LHvaFjVXrGK4tK/0GgNWKL6YI0ZiCWqHwZTZIvtCyFEIwn8iUOCEt+QajLMkE5t5RpUVW3x5s1ZtQ5LVJ/gPl1BCYGUBDhMHs6Gxw/DEtm71YtYncFKUtY1uGu2YEs++oAXtrbGDKR00wcEvHXNLpJUxY+jPIfQmAEtzrDdV0rKzuBtQTGBHl3Q5RagREeihoXir6/BWb6CmO5ntPngXasLITxxFPbixYRGD8Ac0aPZaxS/h7rSv9HoQwiLG9qpHua3l6L4qM79HnvxEnyeCgzmOKLST8QUlobOEIbOGIbOEIYSqMfrLKTeUdhQq09NJ6b7lP2STjG2x9m4qjdQuv5dkgfeSMDnIFBfi99bi85gJSQs/YB/b1xVa3FVbyQp69pms/DC4gZRG9WPqtzvghfc+4OqKih+V8P79TkJ+BygqhjMMRjMsZ027ZLXVULRqpmYwtJI6HspJevepGD5E8T2PIeY9LHAzkB07TZcVetQFC86vaUhAGewEBKahDG06WpuVVUoWfcGqhogMfMK9CERRKaOo74un+r8nyjb+AH6kMhWJ0yoqkJt0UIqtn6OVmskqf/VzVYI2Ev+oGTdmxjMsURnTDogn83B5vNUUZAzo6GObfZtBz29sxBCCNFeGo125/WAhci08ViiMyld9xZ5yx4jMnUcoMFdvQFPXR6gEpk6rl2r6/TGcJIH3kzhimcIix1EbM9pR0yGB4O5IZtBdJeTqSlcQE3+T9hL/iAy7QQi08aj05sJ+N3U5P1Edf5PqIofVQ0QkXIsMd2mHpB7QXH48HmqKV79Ip663JYP0GgxmGIIsaYQ13NaiwHlRq7qDaiKj9BWrtUjU8dRkz+f6vx5xHabsh96LzqLso0fgeoPTs4027pitnXF1+00cv+6n8odc4nreU6b7aiqgse+ndrCBdhL/0JvtBHX8xxUFMo3fUxoVN9WV5BDw7Ol2pLF1OTPx+cuxxiaTHTXUwmPH4Y+JAJ3zWbKNn1M3tJHCE88itDofvjcFfjc5f/7qq8OrmzXaI1Epp5AVMaJTZ4LaDQ6zLZumG3diOl6Kj53+c46sjmUbngPUDGGJhEa1RfLzq8j5W+a2HeqquCvr0UfEnFEPh89kkjgTxwS1LBQVLMJq9dEpfdPvI6CZjdwPk81XmcR0RknAaCpc6CtrcM3OLOlJg9Zbc1cM4WlNys8f6CExmTBxvdxVK5uln6xtnghZRs/bEiBk3llixcRAb8LNeDd7cV9q8wmlNgo9PklBDJS0RWU4BvQkMK1tmghaHWEJ4xsV1MRKeNwVq6lIOdJTGHpRKSOIyxuMD5PFbWFv1JbvAglUA+qgr1oEfG9L8Rg7pgVZx2lcttX1BTMJzx+BOGJIzHZurf4B16rM6I39sYS2Xu/90FnsBDf50IKVzzL5l+vaZLGCRpqBIYljCA8YQQGUxR+rx1X1XpcVetw125BozWgD4lAb7ShD4nAEp2JZTc1Of9JVRUqtn6OOaIHodEt32xGpZ9IQc6TOCtX7/NqW8XvobboN6rz5+Gvr2n1OJ0xHKMlEVviSKzxQw94wP9g8NfXULjiOXTGMJKyrkVnCCUl+xbKt3xG2cb3qbdvpjJET2XRCvxeJ1q9BZ0hdGeA1AWogIaI5GOI7npqsPZc1Y5vcFVvIGXAjU3GnZCwVOL7XEzA76Zk3ZukD7272Yo2f30tJetex1W9EVviaGK6n9FiSpjwhBH43OVUbvsCozn2sF/96XNXNgT9gJTsWyXoJ4QQ4rDSUBvwDqpyv6dqxzdoDaFYIntjSx6LJbL3Hl3TG0xRpA+/74h9yKUzhBKdMamhllre91Tn/Uht0W+Exw/HXvonit9DRMpxRKVPoK70b8q3zMJVvZHEvtP3KXWpOHzVO4soXPEcAPF9LkZvtAUnjAL43KV4XWX4XKXUlf5FwYpnSR10a6uTRp0VqzGY4zCY41vcrzOEYksZS23Br0SljZda3gKAutKl1JX9TUK/y5o9ezKYoolKn0TFtjlEJI9tNnEUGlaIOytX46xcg6tqLQGfE31IBHE9ziY8aTRarQFVVXFXb6J0w7uEhKVj+EcZIL/XTk3+z9QWLSDgdxMWN4TEfpc3m7xsjuhB2tC7qS36ncptX2AvXoRWb8ZgjsVgjsUanoHRFBv8t94U2a6AncEcS2TqOCJTxxHwOXBVbcBVvY66suVU588jPGEE8X0uluDfIU5RfCg+Z0NmA78Hxe8GNJhsXQ7ahPB6RyGlG9/HU7uVEGsqtuQxhMUPR6c3H5Tzi4NLozZWphZ7pby8rqO70GkYf1mC6nKy3voVtpSxzWZ42YsXU7L+HbqNfhKdMQz9ui0Y/16J69xTwHD4PyjvKHnLHkNvCCMp65rgNkXxsWPJPeiMYdQ7CrAljSGu57lNLmjq6/IpXP0Cit9NUv+r2x0o0uu1wbQ+mmVr0a/eiHfUIEIW/IV7ygSUcAvbF99FaHQ/4ntf2O73oaoKrqp1VOfPw1W1Dp3BSsDnRGewEJ40hoikY/C6Sijd8C6K301M9zOwJY0BIOCtxessxuepwho7MBhk6Czq6/LJXfoQ0V1OOSRWMDkqVuGvr9p542hDH2LD5yrDXrKEuvLlqAEfBnMsPncZ0JCG1xzZC1QVf30Nfm8tfk8l/voawhOPIrb7Ge36ntmLl1Cy/i1SB9/ZarpJVVXJX/44GjSkDr59r96f31tHTcHP1BT8ghqoJyxhBKHR/RvSSRqtDTewakMqkcZZfw2r3taiM9qISBlLRNLRe5yqpKPU1+UT8LuD702j0VGQ8xQBn4PUwbc3S+taW7yYii2fYY1IwhjWG1Nk351FyxtSbTWskHRjL1lC5bav0OgMxHabis4YTuHK54nuemqrP8cBn4u8pQ+h1ZlIHXx78OLZY99B0eqXQFVI6Hsplqg+u31PqqpSuv4t6sqWkTLwZswR3ffDJ3Xw+dwVFOQ8BUDKoFs7LMWuEP+067XArin+hBBHjr0ZB5RAPRqt8YgN3O1vPk8Vldu/oq70b8LihxHd5eQmD7vrnUWUrH0Dr6uYsPhhaHWmhofKGh06g5XwxFHoD5PrVfE/qqqCGmgzPae7ZgtFq19AHxJBUtYNbaYVrHcWU7D8CQzmGJIH3tzsIbKqqmxffAdhcUOI7XFWq2OA32tn++K7iEw7ocWUoIeC+rp8ite+SnTX01otU7Orhqwjv2MvXkRodH9sSUfvt9rnnZ2/vpbcv+7DHNmLxH5XtDj+K4qP3D/uxWhNIjnruib7fO5K8pc/jr++mpCwNEKj+xManYkpvEuzIFnA5yT3r/sxmGNJyb4FjUbb8L0rXEDFti9AVbEljSYi5fh2TTpRAvWoig+tPvSA/d1SVZW60r8oWfcGkWkTiO0+9YCc50Dp7PcEFVvn4LFvw++1E/DaCficLR6n0RqwRPbCEtWP0Oj+zcrs7A9KwEvVjm+pzvuhIZCcdgLOitU4Kleh0eoJjxtGdNdT9m5hhzjoYmPbd/0lgb99JIG//Ue/djPGZavJHRGgtvg3MkY+3ORGonjt6/hcpaQNvRuAkB9+B1WlfuLRHdXlTqEq70cqt31FtzEzgg/Jqwt+pnzzp2QM/y/umi2Ubnh358P2htWWjvIcite9gdGSgE4firt2Mwl9LyUsbkib59v1D3ugtArzV/NQrRZUowHPqSfgKM+haPVLpA29e69XPtY7CrGXLMZoSSIsfmiT9DQBv4uKLbOoLVqI0RIfTL/YyBiaSHLW9S2uimlM02i0tDxDsSO1lh5XVRXylz2GEqgnfeg97a6/0FEUv4e68uV47Nsx27phiezT4k2RunP1ZvnWWWi0emK7n0VY/DA0Gg2K4iNQX4vPU0F9XT6eujzqHXl4nSVYY7NJ6n/VbvvgqFhF0aqZpAz6v3avKFQC9TgrVlFXthRn5Ro0Gi22pKOJSB3X7tz79c5iavLnYy9ZAkBcz3OxJR3Vrtd2FHvpX5Ssfb3Zdq3eTOqg/2u1dmp7L/D99TWUb/6MurK/QaMlNKovSVnX7XYmY72jgLyljxIWN5j4PhfjKFtKyfq3CbEmk9T/mnZfyCqKj8IVz+J1FrVY47KjlW+Zhb14EXpTNAZzLEZzHLoQW0Nw3F2Bz1OJ11mMzhjWsNLvH7NWhehInf0mXwjRNhkHDg+K4qNq+1ycVWtBDaCqCqoSwO+tASAi+Rgi0yZIPbYO4HWVYS9ejKoGiEo/scVMFv/kc1dQtPpF6p1FGEKiMFjiMFriMZii0RnC0BpC0Rms+NzllG54F1N4F5L6X9OutgE8dXkU5MwgxJpK8oDrm6xg8dTlkff3g6QMvAVLVO/djgHlmz+ltngRXUY9gk7fvnMfLH5vHXlLH2pYtaP4SOx3+W6Df15XGWUb38NVvRFLZB/c9q2gBLDGDSEi5dhWJ6Qqfg/lWz/HVbmm02Tt8NfXoDWEtjvDjaL4KF79Ep66vDZr+NWVLaN4zSukDLw5OMkz4K0jf/kTqIqflOxb2vUZuqo3UZAzg+iupxAalUnZpg/w2HdgSxpNTLf9UwLlQKjOn0f55k+J7XE2kanHd3R32q0zXwv43BVsX3IXlqi+hIQmoTOGozeGozVY0erN6HQmtHozSsCDq2odzsq1uGs2oaqB/02QaOHZhc9dTsDnxBSe0a5+ND6rqtj2Jf76KqLSTyQyfWLw99DnqcZevIiawl/Rag0kD7zpkHzmKZqSwN9BIoG//UdbUY3p6/k4Jgxj2+YnsSUfTWz3M4CGh/zbFt2OLXEUMd2mgM+H5cOv8Q7JxN+vZwf3/PDmdZWy449/B2tdKQEv25fcTWhUXxL6XgJA5Y5vqNz2JfG9L8DvraNy2xdY4waT0OdiNBodJevfpq70b+J6TiMi5djdnq/JH3ZfAPOn36JxufEO6od/QB/yl88ANbDXq63ay1m1lrrSvzGYY3fWEksGNUDhqpkogXqSs64L/iFtDDJVbJuNEvCSNvRuQkKTDmj/9oSraj2lG94jJDydhN4XodWbgvtqCn+lbOOHexTEOpw0BIY+pa5sKQZzHErAQ8BrD+7XaI2EWFMwhaUREpZGWNyQJp9PS1RVJe/v+9GHRJI84IbdHKfgql6PvWgxjsqVqAEvpvAMwuKGEJ541F6vHA146yjfOht78WISMy9vV0C9I7iqN1C44lnC4ocSlTGJgNdBwO8k4HVgsnUlpIU0K4329ALfVbUee+lfxHaf2q6brcY6fZaofriq1hKeMIK4XufvcY2agM9J/rJHQaMldfAdh8yDh5rC3yjb+D625GMaVo+6y/C6ygh4G/L0600xO2tIxmBLPEpm7YlDTme+yRdCtI+MA4e3gM9Jdf48agp+RlUCRCQfjTVuMCFhaZ0ibf2eUlUFv6eKgN+F4nej7PxvwO/+378VH7bE0ZjC976sh6L4cJTnYC/6HVf1RrR6C6gKGl0IcT3Pxho7uNWVRe7arRStfhGtNoTItPH4PJXBVJ1+T2VDaYxdWOMGk9D30j3+frprt1K44hnMET2ITJtIwFdHwFuHs6rhoXa30TPQaPW7HQP89TVsX3I3URmTgpOP91bj92BPJsH5vXY0Gl2z+zlV8VOw4hm8rhLSBt9JxbYvqCtb2mLwT1UVagp+oWLbHPSGcOJ7X4Alqg8Bnwt7yWJqCn7B5y7HZOtGVNoEQmOygpMbXTWbKV33Fn6fHZ3OjD4kgpTBtx+Wv1sBn4O6sqXUlfyFu3YLodH9Scq6ts2UlF5XKcVrX8PrLCap/9WERu++xI+qqhQsfwIl4CZt6L9RFR8FOU/h81SQOuj2PQpkVGz7kqrc74CGdNNxvc7DbOvW7td3lPItn1GdN++QfobwT535WqA6fz4VWz+n2+in2nwG1Ujxe6grW0bFtjmoAS/RXU8lImUsGo0Od+1WqvN+wlGeA6jYksYQ2+OsFlOEKooPV+Ua6kqXBp9VWSJ7E9fznBbT4UJDFoDCFc8Q8DlIHnBDuwOLomO0N/B3aC/9EEcUJcqGqtdhrHQTkXo81Xk/EZl6AvoQG15HIQGvHUtUXwB0xeWgKARSWn+wLNrHaInHGJqEo3wF1thsaot+I+CrI2qXC+yo9En462t2FhGG6C4nE5UxOXhTkdD3UvTGcMo2fYTPXY4lqm9DWkNDGDqjFTRaUAKoKGhUDaq68+G5RkMgNQH9xu0EMlKodxTgrtlIYr/LD/j7Do3qR2hUv2bbUwffSdGqmeTnPEliv8vRGyMo2/QhHvt2whNG4qnLpWTta6QOuavDL7wbZwHWFi7AZOuGq3ItecseIznrGgzmWPz1NVRsnYMtcXSnDPoB6EMiSMy8grCKETgrV++s/xeJ3hSJISQSgyUumEKyvTQaDZFpEylZ9waeujxMYWlN9jferNUWLsDrKsUYmkR0+klY4wbvl1VhOmMY8b0vQFV8lKx9A63e3OLPakeqdxRQtPolzJG9Ggqsa/VwAGNilqg+babn3FV4wgg89u3UFPxKTPcziEw9Ya/Sq+gMoSRlXUve0kcpWfv6zpvUPft52t/ctVsp3/QREcljiet1bof2RQghhBBHJp0hlJiupxKZOo6agp+pzp9Pdf48NBodIWFpmGxdCY3qhyWqb4sP+H2eatw1G7HGDe6Qeyp158QpV/VGPDuDEXtb19lfX0PhqpnU1+U126fRGhtWdujNKIoXe9FCorucQmT6hCafS0N9sY14HHk7Jy2mB4NOSsCLq2otjvIcHBUrUfxuzBE9Seh7KdbYQQR8Tso3f0zxmlcJjckiruc5zdK720v+bFjBF5ZOYv+rW0zRqig+Al4His+Bovh2puLf83phZls3kvpfQ+GqmTgr1zR8DjvTw0YkH9uuDDT6kAhsSaOpyZ9HZMrx+OqrcFWtw1W1DtCQ1P/qdrWjqipFq17AXbuFsNjBRGWc2GpGEgCfp5Kq3O+xFy1EozUQ3WUyESnHBc9VvuUzPLVbg6vHGidKF699DQBrbDbumi04ypfjKM/BX19NRMpxxHQ9LfjgX2ewEJk6joiU43BWrqY670eKVr+I0ZJAZNoJeF0lVOfNw2zrRvLAm1ACbvKXPU75pk+I731+m+/5QFBVFXvxQhS/G50xfOdznjCMlvhW65K5ajZTk/cTzsrVqKiERvUlusvJVG7/uuH7mja+1fPZS/+ibMP76ENspA2+s101RjUaDbE9ziRv6SPUFv2Gs2IVXmcxKdm37vHqpegukwl4azGGJhGRcmyH3/+1V0y3qTvr2r+JzhCGJbJXR3fpiOasWIU5ome7g34AWr0JW9JRWGMHUrHtC8o3f4q9ZAkajR6PfRtGSzxxvc4DGlZGu2u3kNj3suDviNdVQm3hb9QWL0bxuwixphCVPomwuCFtPqsymKJIHXw7hSufpyDnqYaSTjufwaiqSsBXhxrwoTdFScr1w4is+NtHsuJv/wr5/jfQ63AdM5DtS+4iPGEkcT2nUZX7A5U7vqbbmKfRag0YFy1DW1KOZ+rEju5yp1Cx9QtqixaQMfJhdvzxb0Kj+5PQ56Imx6iqQuW2LwkJSycsblCzNlRVpTrvRyq2zQG19Zk6Go2GmNQhxPS6gkBARVNtR59bgG9gX0o3vIezcjVdRj7coSkplUA9JevexFGxElQVY2gScb3OxRLRY2cawUd21j2c1mF9dFVvonT92/h9dmK7TcWW3FDDsGjViyh+J4n9rqC2aCGumg1kDL+/09UtPNBUNcCOP/7TcHOceQUBn3Nn+oXV1JUvb0jPEjsIW8pYzLbuB+TCR1X8FK1+CVfNxoY6c4fILEOfp4r8ZY+hM1hJHfR/e3Qh2+hgzOxTVQV/fW27U63ujrNqHYUrnyMy5Thie5y1m3Oq1BT8TG3R74RG9SU8cdRuHy7sKZ+nmrylD2O0xJEy8OZDPnWvEK3pzLN7hRDtI+NA56IqfuodhXjs23DXbsVTuw2fpwJ9SBS2pKMa6gGGROCsXENt0UKclatBVYhMn0hstykHrZ/1jkKq83/CVbUef301aLQYTDH43OUk9b8Ka2z2HrZXQOHKmYBKXM9z0IdEoNVbgsG+Xa/VVMVP5favqcr9HrOtGwl9L0UXYsNR+jfV+fOpd+Sj0RpQFR8ABnMsBnMsntqtKIF6jKHJhMVmE5YwDKMloVlfHOU5lG36CL/X3pDG0xyN3tSQ2tBevKjh2Urv8w9aoNVfX4MS8DSkENWbmwUR2xoDfJ4qdiy5G43WgBLwoNEaMNu64arZ1O7a9bVFiyjd8A6RaeNxlC3D56kkNGYAkSnHoTOGo9Hq0Wj1qIqP6vz52IsWotWbiUwbj7++hprCXzFaEojrOQ2fq5zSje8R1+t8IpL/V25GVQOUrHuLurKl6AxWAl47+pAIrLHZhCeMbNeqmYaVPD/iKF+BRqsjusupRKadEPzMagt/p3TjeyT0uYTwxJFttre/Vef9RPmWz9DqTCgBT3C7RmfEGpNNeMLwnQECLa6qtVTt+BZ37RaMocnYkkYTFj80mA64fMvn1OTPI3Xw7ZjCuzQ5jxKob0jzWvQ7YfHDiO91/h7faxavfYO60j/RaHQkDbie0J2LB44UiuKjaOVM3LVbScy8HGvMgI7u0m511muBgN/Ntt9vIbbHWW1mRdsdj3075Zs/Q6PVEZE6jtDo/sFxod5ZTMna1/G6iolMHYfHvh1X9cadNXgb/u7uLgtTa5RAPUWrX8Zds5HQmAH4PZV4XaUofjcABlMMluh+hEZnYonotVfPg8S+k1SfB4kE/vYvQ8469Os34z7nFCp3fENV7rdkjHiI0vVvo9HqGtLuqSrmT7/B3yUV37BD+4/Y4cJj30He0ocJjcnCVbmWjBEP7HUO+YaZgnU7U3o4CPgcADsLwWtQfDVUbv2cuN4XYY0bEXxdwOdk26I7dqbzaPsi/kBTVYWq3O/R6kKISD6myU1bTcEvlG36iKSs67DGZB20PvncFQ1pMkr/pt6RjzmiB/G9L2oycyfgc1K89jVc1RtAVUjoeynhCSN206poTUM6xQ8w27rhtm8DVSHEmtIQ8Esac1AKsisBL4Urn6PeUUDqoNv2axBpb/jclRSueh41UE/q4Dv2OoXk4XiB3/h7H9/rAmzJY5rtVwL1lG54j7rSvwiNycJj307AW0dIWBrhiaOwJR7V6ozY9lAUHwXLn8RfX0Pa0Lullo44rB2OY4AQYv+ScaBzU1UVj3079uKF1JX+jRLwojOEEvA5CAlLw5Y0Br+nmqq870kb/K99Sn/ZHl5XCZXbvm4oD2CKwho3CEtkb8y2Hmh0RorXvoazYhUpA2/C3M5MKc7KtRSveQWDOZakrOvaPdmsIY3jmwR8TjS6EALeWkKj+xOZOg5zZC987nI89h3U1+XidZVitnXHGjeoXauWAn43jtKleN1l+DwV+D2V+OtriUgZS2TaxENqlUZ7xoCawgX43GVYovpitvVAqzM2BI4KfiZ92H92+5n4vXXk/vmfhknNfS9FVfzUlf5NVe53eF0lzY7XGUKJTBtPRPKxwQfZ9XX5lG76EE/tVtBosSWNIX7naptdqWqAqh3fogQ8WGMHYQrvslerJX3u8p3B6KYrNlVVpXTDO9SVLiVtyJ0H9Z7QXbuNguVPEJF6PLHdz0AJeHc+67HjrFpPXemfO+uKh6M3hlHvKMQU3oWojElNghTB96L4yV/+BAFvHWlD7wnWj/TYt1Oy7k18niriekwjPGn0Xv28+jyVFK58juiMyXu9ivdwp+zMHOSoWEFcz3ObBKoPNZ31WqCx5mSXkQ8f0PqciuKjYutsavLnY7Z1x5Z8DNa4Qfs8wUNV/JRv+Yx6RwEG885asOY4NBotrur1OCvX4HOXo9EaSR10m6QF7QAS+DtIJPC3f2mLSjH98Dvu08bjDzOwY8ldhEZnUVe2lJhupxOZOi54jGfCGJQkKTi6P6iqyvbFd+Kvr264mO19wQE7l16vpWrLu1QULCNt6H+DwZOq3B+o3P4lXUY9esg/0FZVlaLVL+Cp3Ub6sP8Egx+qqhLw2tEaLPttJmXA56Ku9C/sJUvw2Lej0RoJjelPWNxQrLEDW7yhaFid+RV+b21DGsZD6AbvcKIoPgpznkZrCCU0uj+h0Zl7VBtifwn4XRTkPIXXVUJM19N3phvZ8xvJfeHzVFG141vsxYvQGqykZN+yV7PHGh2uF/ilGz/AXrSQqIyTsET1wRSWjkarx+sqo3jNS/jcFcT3vpCw+KGoih9n1VrsxYtxVqzCYEkgqf9Ve1Uo2+eponzzpzgrV5M66PYD/nBMiAPtcB0DhBD7j4wDRw7F76Gu9G+87jLC4odgCmu4jlEVP3lLHwFU0obcdUAyGfi9dVRsmYW99E/0RhtRGSdhSxzV7FyK4qNwxbMNk+0G377beu5KoJ7aooWUb/mM0Kh+JPa7fI9XPAT8Liq3fQWqgi3l2H26rj5c7e0YoATqyf3rfvQhUaRk39LqvW7JurdwVq4iffh9TZ4vqKqC11GIonhRFT+q6gdVwWTrjk5vbtaOqirUlfyBpy6X2O5ndljGDSVQT/6yx1ACXlKyb90vWU3aEvA5yf3rAfQhEaQOuq3F966qKvWOfOpK/sTnqSQieSzmyF67fQbhc1eQ+/cDWCL7kNjvsp2T/r/DFJZGfJ9Ljsjfh/1NVRXKN31MTeGvRGdMJqrLyYfkc6HOei1Qsu4tPHV5ZAy/96CcT1F8Bz1tttdVRtHql9Abw0nJvvmgnltI4O+gkcDffubzYfngKwKpiXgHZVJpX0zF1tkApA+8i7BN1eg3bEOJtOGZfCzoDo9c24eDsk0fUVv4GxkjHsRgjm77BXtJr9ditSgs//ZWTBE9Scq8ElVV2LHk7p21Ci45YOfen/zeOnL/uh+jJQ5TeFfq6/Kod+QT8DnQaI2Ybd0aZpFG9sIUnr5HeeFVVcVduwV70ULqypahqv5g3QlrdJYspT8CKX4PFdvmUFPwC6bwrsT3uTD4QEJVFbzOIuodhVhjB+7TqrJ/8rkrqM7/idqi39HqTESmTSAiZew+n+NwvcBXFT+lGz/AUbasIeWQzojZ1h2PfTt6YziJ/a9u8UFRvaOQ4jWv4K+vIb7PRYTFDQ7u89i3U503j3pHHpaovoTGDMAS0XNnQLGUqtzvqSv5A63eRFyv85u8VojD1eE6Bggh9h8ZBwSApy6PvKUPE93lZKJ3qTG/PwS8deTnPEXAW0tUl8nYksbs9sFowOeiIOcJAj43qYPvaBJYUVUFd81m7CV/BK8DI1KOJbbHWYdN/a9Dzb6MAa6q9RSseJr43hdiSxrdfH/1Bgpynmp1/+HK6yojf/ljKH4PEcnHEJk+ca8mTbtqNqPVGggJS281GPS/yc5bSRt6T7NViPuqrmw5xWteRh8Shd9bQ3TGSUSlnyilDPYjVVWpzv2eim1zCIsbSlj8EELCMg5K0Li99te1QMDnot5ZiNdRSL2jgIDfSVTa+GbpZNtLCXhxlC1DHxJBSHhGs0kBfq8dj30HOr0Fc0T3JvtUVWHbwtuwJY0hptvpe/2eDgeO8hyKVr9ESvatUlPyIJPA30Eigb/9T79xG4acdWjcHnwJkWw0fIFGUelTOR5NQME3sC/+vt1Be3BXvHR2AW8dXnfZAa8j1viHPXf9LxSsepWk/lcDULT6JdKG3H1YrWRxVa2ncOVz6EMiCQlLIcSaijE0Gb+nAlf1Rtw1m1ECHgymGGJ7TmuWFlRVFezFi6jc/jUBn3OXHQqqGsBgjsWWOJrwxJF7nVJRdC7ums2UbngPn6eC8PgR+DyVeOzbg7UWojJOIqbrqft0Dn99bTClrMe+rSHtTep4IlKO3W9B58P9YZ+qBqivy9/5e74JnTGc2B5notNbWn2N4vdQuuFd6sqWEpk6DpOtG9X58/DUbsVgjsUS0Qtn9Tr8niq0ejMh1lTctVvQG8KITDsBW9LREvQXncbhPgYIIfadjAOiUcXWOVTn/0Ta0Ht2u9JuTwR8TgpWPI2/vobU7FsxtnMFkc9TTf6yxwj4HA116bQ6tFoDAb+HgLcWgzmW8IQRhMUPb1JuQey5fR0DSta9haNiJRnD72tSgkFRfOT9dT86Yzgp2bce9EwpB1rA76Ymfz7V+T+hqgEiko8lPHEURnNsm0EzVVWo2PYF1bnfA2C0JBCWMJzw+OHN0hFW5/1I+ZZZB7S8SfmWz3FVrSO+9wWSKvAAshcvoWLbFw11TQF9SCRmWzdiup/Z4UHAfR0HVDVA6fp3sZcsAUCj0WEMTUBVAnhdJYQnHkVMt9P3KEDurt1G6fq3d0kJrMEYmogpvAtKwEO9fQc+T2XDHq2BjOH/xWCO3eX1W8lf9hipg+844M9XO5qqquQtfQit1kjKoP87JFeVdlYS+DtIJPB3gAQC6HYUYli3GWf1OgIaH9a0o/ANzUK1NE+/IA4fjX/Yq6oc5OXMxGPf0TB7TKMhbfAdHd29PaaqgVZneaqKH09dLpXbv8ZVtQ5rbDaxPc7GYIrCY99B2aYP8dh3EBY/HLOta5PXGkMTMUf07HQ3KmLfKYqPqu1zqStbijE0CbOtK6bwbjjKl2Ev+YMuIx9GZwjd43brHQVUbJ2Ds2otGjRYojMP2CrTI/Vhn6qq1BT8TMWWWahqAHNETyJTxxEak4VGo0VVVbyOAhwVK3HXbsUaO5DwxFEHPW2HEAfakToGCCH+R8YB0aghUPMAWr2F1MG37/P9T8DvpnDFM/jcZaRk37rH9dAa6qovQ1V8O1NBBkCjwRqdhcnWTR5s7if7OgYEfA52/HkvZlsPojJORPHXowQ8OCtWYS9eRNqwf++3QPKhKOBzUp33EzUF81EC9aDRYjTHYrAkYApLJzzxqCZBHSVQ3xAsLc8htvsZGEOTqCv9E0d5DkqgHoMpuiFwqNGi0ejwOouJSB1HbPepHfguxf7k81RTX7cDt307dcVL0JsiSRn0fx16r7kv44Cq+Cle9wbO8hXEdD8DS2QvjJYENFo9qhqgtvB3Krd/iaoqRHc5hfDEUS2m823U8Jzla6ryftyZdvZiQIPHvh1P7TY8dTvQ6kyYwjMwhWVgtCZTuOJZQqzJJGVdF/zbULF1NrXFi+h61BNHxPM8Z+VqClc+T/KAGwmN7rdHr22sURiRdHS7J+iIBhL4O0gk8HfgaSuqAFBiDn5tLbH/7fqH3e2oJPfPe1ECHhL7Xd5piy+rqoqjbCnlmz9FCXiwRPbBUbGSEGsycT3PaXcBeSF2x19fy/YldxGVPpHoLifv0esqt39JbfFijOZYItPGY40dtFfBw/Y60h/2eV0lqAEfIWGpHd0VITrEkT4GCCFkHBBNuWu2kL/8CcwRPbBE9cFs64YpvMsep5dX/B4KVz5HvbOQlOxbgvUExaFnf4wB9tK/KFn7erPt0V1PIzpj0r528bAQ8Lmod+TjdZXgc5XidZXgrtmCqviwxmYTkXIsBnMcRatfoN5ZRGK/y7HGDAi+XgnU4yhfgddZhKoqoAZQ1QA6QxhR6RMl9WYn5bHnkr/8ccITRhDf+4IO68fejgOq4qd47es4K1aSmHkl1tiBLR4X8Dmo2PYltYW/gUZDiDUFs607Zlt3dEYrAZ+DgNdBwFdHXdlyfK4SorqcTFT6hHalcW5MdZnU/2qssdkA7PjzPkxhaYdNGaN9paoq+csfBzVA6uB/tXtyjKoqFK99DWfFqp0r/iXwtyck8HeQSOBPiD3zzz/s9pI/qS36nZSBN3X6i8rGIu7OytVEpB5PRPIxUhNC7Fdlmz/BXryELqMe3m3aSdiZJqbgF6pzv0ej1RHV5WQiko4+KL+H8rBPiCObjAFCCBkHxD/ZS/6grvQv3LVbUfxu0GgxhXchLG4w1thBGEz/mwisqir+nSnvvc5ivO4yfO4yvK5SUFWSB97ULKOKOLTsrzGg3lGIqvjQ6k1odTu/jvD0+AG/G3vJEmoLfsHrKkWjNaAzhJKUda0Ew0VQbdEiSje8Q3zvC7AljemQPuzNOKAqforXvIqzag2JmVe1KxWtz13eUKajdgvumi343GXBfRqNDq3BSkhoArE9zt6jVeKqqlK06nnqnUVkDL+PgLeO7UvuIjHzKsLiBrW7ncNdY93VpKxrm0ws2J3yLZ9TnfcjSf2vCgZNRftJ4O8gkcCfEHtGbvKFOHD89TVsX3I3URkntTrL1eeuoKbgZ2qLFqIqPiJSjiUq46QDusLvn2QcEOLIJmOAEELGAdEaVVXwOotw127FWbkGV9VaVMWPydYNS0RPvM5i3PZtBLx2AHRGG0ZLHAZzHEZLHKExAzp1isfOQsaAA09VFVxV63HVbCQi+dgOr+cmDj2lG97HXrKY1EG3d0idxbbGAb+3jqodcwl4HahqQ/pln6can7uMpP5XERrdf6/O66+vRQl40BnCGuq57kMKZ6+rjNy/7iMydRy6EBsVmz+j25inj6gJCKqqUpDzFIrfRdrQu9tMcVpT8Atlmz4itsfZRKYef5B62bm0N/DXuZfXCCGEEEcQfUgEtqTR1OT/RGTKcU0uNuudRVRu/xpHeQ46vZmIlGOxJY+VG0AhhBBCCHHI0Gi0hFhTCLGmEJF8DAG/C2fFKurKllFbvIiQ0CRsiaMx2bpiDu+Czti+h19CHGk0Gi2h0f32uO6WOHLE9jybekc+RatfJr73+fjra/F7KvF5KtEZrQ0ThNvIJHSg+L12CnKeIuCtJcSaikarR6PVExKaRFzPs7FE9t7rtvUhNsC2X/pptMQRlT6Rqh3fYrDEY47sdUQF/QA0Gg0xXU8hf/kTlK5/G2NoIjqjDb0xHL3Rhs4Yjs4YhkajxVGxkrLNnxCZOk6CfgeBBP6EEEKITiQybSK1Rb9TU/grUekTURU/VbnfUbXjW/SmKOJ6TiM8YeQe10wRQgghhBDiYNPpLYQnjCA8YURHd0UIIToVrdZAYuZV5C19iMKVzwGgN9rQm6LxludQV7qMhD4XYYnqc1D75a+v2bmCzE3qoNsxHuL13yLTJ2Iv+QOvswhb8tEd3Z0OYY7oQWT6RJwVq3BWribgczY9QKNFZ7Ci+N1YYwYS0/2MjunoEUYCf0IIIUQnYjBFEp54FNV5P2IKz6Bs0yf4XCVEpk8kKmMSWq2ho7sohBBCCCGEEEKIDmYwRZIx4n4CXgd6U2TweYHPXUnphncoWPE0tuRjiO02dY9XsikBL6gNKTxVVDRo2mzD56mmcMVTKAEvKYNuw2iJ37s3dhBptQbiep1L8ZpX213jrjOK7TaF2G5TAFAUHwFvHQGvHb+3lkB9w3/RaIhMPaHNdKBi/5Aaf/tIavwJsWckl78QB57PXcmOP+5BVQOYwtKJ730hIWGpHd2tIBkHhDiyyRgghJBxQIgjm4wBQhz6VFWhtnAB5Vs/R6e3YDDHodUZ0WiNaHUhGMwxGEOTGr4scSgBL+6aTbiq1uGqWo/XVdKsTaMlHktUXyxRfQmP6UNUTBQVZaV4HBX4PJVUbJ2NqvhJyb4FoyWuA9713lNVdZ/qBQrRXlLjTwghhDhCGczRxPY8G1XxE5FyLBqNrqO7JIQQQgghhBBCiMOERqMlIuVYLFH9qCmYT8DnQlW8KIF6/N5anFVrCXjtDcdq9aCqqGoAgykGS1QfItMmoNEZ0KABNKiqH3fNFpwVq6kp+IVirQ6D0Yiv3kPjuiSDOY7UQbdiMMd24DvfOxL0E4caCfwJIYQQnVBE8tiO7oIQQgghhBBCCCEOY0ZLHHE9z2lxn99bh9dZhNdZBBodlsjeGMyxrQbBwhNGoKoqPnc59fYNWExa6gOhaA2R6E3R6AxWCaAJsZ9I4E8IIYQQQgghhBBCCCGEEO2mN4ahN/bCEtmr3a/RaDQYLXFYwhMk5a8QB5BUUhRCCCGEEEIIIYQQQgghhBCiE5DAnxBCCCGEEEIIIYQQQgghhBCdgAT+hBBCCCGEEEIIIYQQQgghhOgEJPAnhBBCCCGEEEIIIYQQQgghRCcggT8hhBBCCCGEEEIIIYQQQgghOgEJ/AkhhBBCCCGEEEIIIYQQQgjRCUjgTwghhBBCCCGEEEIIIYQQQohOQAJ/QgghhBBCCCGEEEIIIYQQQnQCEvgTQgghhBBCCCGEEEIIIYQQohOQwJ8QQgghhBBCCCGEEEIIIYQQnYAE/oQQQgghhBBCCCGEEEIIIYToBCTwJ4QQQgghhBBCCCGEEEIIIUQnIIE/IYQQQgghhBBCCCGEEEIIIToBCfwJIYQQQgghhBBCCCGEEEII0QlI4E8IIYQQQgghhBBCCCGEEEKITkACf0IIIYQQQgghhBBCCCGEEEJ0AhL4E0IIIYQQQgghhBBCCCGEEKITkMCfEEIIIYQQQgghhBBCCCGEEJ2ABP6EEEIIIYQQQgghhBBCCCGE6AQk8CeEEEIIIYQQQgghhBBCCCFEJyCBPyGEEEIIIYQQQgghhBBCCCE6AQn8CSGEEEIIIYQQQgghhBBCCNEJaFRVVTu6E0IIIYQQQgghhBBCCCGEEEKIfSMr/oQQQgghhBBCCCGEEEIIIYToBCTwJ4QQQgghhBBCCCGEEEIIIUQnIIE/IYQQQgghhBBCCCGEEEIIIToBCfwJIYQQQgghhBBCCCGEEEII0QlI4E8IIYQQQgghhBBCCCGEEEKITkACf0IIIYQQQgghhBBCCCGEEEJ0AhL4E0IIIYQQQgghhBBCCCGEEKITkMCfEEIIIYQQQgghhBBCCCGEEJ2ABP6EEEIIIYQQQgghhBBCCCGE6AQk8CfEEe6DDz7guOOOo3///px55pmsWrWq2TE5OTlceOGFDBw4kEGDBnHeeefh8Xh22+6DDz7IlClTyMzM5NRTT23xmN9//52zzjqL7OxsRowYwfXXX09BQcFu233ppZeYNm0aAwYMYMiQIbs9trq6mqOPPppevXpht9t3e6wQR6rOOAb06tWr2dc333yz23aFOJJ1xnEAYPbs2Zx88sn079+fkSNHct999+22XSGOZJ1tHJg9e3aL1wO9evWisrJyt20LcSTqbGMAwKpVq7jooosYMmQIQ4cOZfr06WzYsGG37QpxJOuM48CSJUuYNm0a2dnZHHXUUTzxxBP4/f7dtitEZyGBPyGOYN9++y2PPPII1157LXPmzKF3795Mnz69yc1wTk4Ol112GaNHj+azzz5j1qxZnHfeeWi1bQ8fU6dOZdKkSS3uy8/P55prrmHEiBF8+eWXvPHGG1RXV3P99dfvtk2fz8fEiRM555xz2jz/3XffTa9evdo8TogjVWceAx555BEWLlwY/Bo3blyb/RXiSNRZx4G33nqLp59+miuuuIJvvvmGt956i9GjR7fZXyGORJ1xHJg0aVKT64CFCxcyevRohg0bRnR0dJt9FuJI0hnHAKfTyeWXX05SUhKffvopH374IaGhoUyfPh2fz9dmn4U40nTGcWDDhg1cfvnljB49mi+++IKnn36an3/+mRkzZrTZXyE6BVUIccQ644wz1Pvuuy/470AgoI4ePVp95ZVXgtvOPPNM9emnn97rczz33HPqKaec0mz7d999p/bt21cNBALBbfPnz1d79eqler3eNtv9/PPP1cGDB7e6/4MPPlDPP/98dfHixWrPnj3V2travXsDQnRinXUM6Nmzp/rTTz/tdZ+FOJJ0xnGgpqZGzcrKUhcvXrzXfRbiSNIZx4F/qqysVPv166fOmTNnj/otxJGgM44Bq1atUnv27KkWFRUFt23YsEHt2bOnumPHjr18F0J0Xp1xHJgxY4Y6ZcqUJtvmz5+v9u/fX62rq9uLdyDE4UVW/AlxhPJ6vaxdu5ZRo0YFt2m1WkaNGkVOTg4AlZWVrFy5kujoaKZNm8aoUaM4//zzWbp06T6fv1+/fmg0Gj7//HMCgQB1dXV8+eWXjBo1CoPBsE9tb9myhRdffJHHHnusXTOPhDgSdeYxAOC+++5j+PDhnHHGGcyaNQtVVfe5TSE6m846DixatAhFUSgtLeXEE0/k6KOP5sYbb6S4uHif+yxEZ9NZx4F/+uKLLzCZTEycOHG/tSlEZ9BZx4AuXboQERHBrFmz8Hq9eDweZs2aRbdu3UhOTt7nfgvRmXTWccDr9RISEtJkm8lkor6+nrVr1+5rt4U45MkTcSGOUNXV1QQCgWapbqKjo6moqAAaltsDzJw5kzPPPJPXX3+dvn37cvHFF7Njx459On9qaipvvvkmTz/9NP3792fIkCGUlpbyzDPP7FO7Xq+XW265hf/7v/8jKSlpn9oSojPrrGMAwA033MAzzzzDW2+9xfjx47nvvvt477339rldITqbzjoOFBQUoKoqL7/8MnfddRfPPfcctbW1XHLJJXi93n1qW4jOprOOA/80a9YsJk+ejMlk2q/tCnG466xjgNVq5b333uOrr75iwIABZGdn8/vvv/Paa6+h1+v3qW0hOpvOOg6MHj2anJwc5s6dSyAQoLS0lBdeeAGA8vLyfWpbiMOBBP6EEK1SFAWAs88+m6lTp9K3b1/uuusuunTpwueffw7AZZddRnZ2NtnZ2Zx00kntbru8vJx///vfnHbaacyaNYv3338fg8HADTfcsE8rc2bMmEG3bt1aLRgshGi/w3EMALj22msZPHgwffv25YorruCyyy7jjTfe2Kc2hThSHY7jgKIo+Hw+7rnnHsaMGcPAgQN56qmnyM3N5c8//9zrdoU4Uh2O48CucnJy2Lp1K2ecccZ+aU+II83hOAZ4PB7uvvtuBg0axCeffMJHH31Ez549ufLKK/F4PHvdrhBHqsNxHBg9ejS333479957L/3792fChAkcc8wxAJIdTBwRZJqLEEeoyMhIdDpdk0K90LB8PyYmBoDY2FgAunXr1uSYbt26UVRUBMBDDz0UvHDek5lzH3zwAVarldtvvz247YknnuCYY45h5cqVDBw4cI/fE8Aff/zBpk2b+OGHHwCCFwkjRozgqquu4oYbbtirdoXobDrrGNCSAQMG8OKLL+L1ejEajfutXSEOd511HGjsc/fu3YPboqKiiIyMlHSfQvxDZx0HdvXZZ5/Rp08fMjMz97ktITqbzjoGfP311xQWFvLJJ58EH/A/+eSTDBs2jPnz5+9RUEKIzq6zjgMAl1xyCRdffDFlZWXYbDYKCwuZMWMGKSkpe92mEIcLCW8LcYQyGo3069ePJUuWBLcpisKSJUvIzs4GICUlhbi4OLZv397ktTt27AjmxY+Pjyc9PZ309PQ9ypXv8XiazbBp/HfjTKK98fzzz/Pll1/yxRdf8MUXX/Dggw8CDRcS55133l63K0Rn01nHgJasX78em80mQT8h/qGzjgODBg0CaNLnmpoaqqurJQ24EP/QWceBRk6nk++++05W+wnRis46BjS2q9FomrSr0Wj2+72GEIe7zjoONNJoNMTHx2MymZg7dy6JiYn069dvn9sV4lAnK/6EOIJdcskl3HHHHWRmZpKVlcU777yD2+1mypQpQMMfx+nTp/P888/Tu3dv+vTpw5w5c9i2bRvPPffcbtvOzc3F5XJRXl6Ox+Nh/fr1QMNsIKPRyDHHHMPbb7/NzJkzmTx5Mk6nk6eeeork5GT69u3bartFRUXU1tZSVFREIBAItpuWlkZoaChpaWlNjq+urg6eNzw8fK8/KyE6o844Bvz8889UVlYyYMAAQkJCWLRoEa+88gqXXnrpfvrUhOhcOuM40KVLF44//ngeeugh7r//fqxWK0899RRdu3Zl+PDh++mTE6Lz6IzjQKNvv/2WQCDAKaecsq8fkxCdVmccA0aNGsXjjz/OfffdxwUXXICiKLz66qvodDq5FhCiBZ1xHAB4/fXXGTNmDFqtlh9//JHXXnuNZ555Bp1Otz8+NiEOaRp1fyXOF0Iclt5//33eeOMNysvL6dOnD/fccw8DBgxocsyrr77KBx98QG1tLb179+a2225jyJAhu233ggsu4K+//mq2ff78+cEl9d988w2vv/46O3bswGQyMXDgQG677bZmqQN2deeddzJnzpxm2999990WL+D//PNPLrzwQv7++28J/AnRgs42Bvz222/BWl7QcNF/zjnncNZZZ0kefyFa0dnGAQCHw8HDDz/MTz/9hFarZejQodx9990kJia2+XkIcSTqjOMAwLRp00hOTmbGjBm77acQR7rOOAYsWrSImTNnsnnzZrRaLX369OHmm2/eryUFhOhMOuM4cOGFF7Ju3Tq8Xi+9e/fm2muvDdb5E6Kzk8CfEEIIIYQQQgghhBBCCCGEEJ2ATH0XQgghhBBCCCGEEEIIIYQQohOQwJ8QQgghhBBCCCGEEEIIIYQQnYAE/oQQQgghhBBCCCGEEEIIIYToBCTwJ4QQQgghhBBCCCGEEEIIIUQnIIE/IYQQQgghhBBCCCGEEEIIIToBCfwJIYQQQgghhBBCCCGEEEII0QlI4E8IIYQQQgghhBBCCCGEEEKITkACf0IIIYQQQgghhBBCCCGEEEJ0AhL4E0IIIYQQQgghhBBCCCGEEKITkMCfEEIIIYQQQgghhBBCCCGEEJ2ABP6EEEIIIYQQQgghhBBCCCGE6AQk8CeEEEIIIYQQQgghhBBCCCFEJyCBPyGEEEIIIYQQQgghhBBCCCE6AQn8CSGEEEIIIYQQQgghhBBCCNEJSOBPCCGEEEIIIYQQQgghhBBCiE5AAn9CCCGEEEIIIYQQQgghhBBCdAIS+BNCCCGEEEIIIYQQQgghhBCiE5DAnxBCCCGEEJ3YnXfeyXHHHdfR3Tignn/+eXr16tXR3WjTf//7Xy655JKO7sYe++2338jOzqaqqqpD+7Fq1SoyMzMpLCzs0H7sD9XV1QwcOJAFCxbs0eu+/fZbhg0bhtPpPEA9E3vqrLPO4vHHH+/obgghhBBCCBEkgT8hhBBCCCEOUbNnz6ZXr17Br/79+zNhwgTuv/9+KioqOrp7rfpnv/v27cuYMWO48847KS0t3as23W43zz//PH/++ed+7m1zjYHExq8BAwYwadIknn76aRwOx161mZ+fz6xZs7jyyiub7XM4HMycOZNTTjmF7OxssrKymDx5Mk888USLn9cvv/zC9OnTGT58ePBn4rHHHqO6urrZsXfeeSfZ2dlNtl1wwQX06tWLq666qtnxBQUF9OrVizfeeCO47eijjyYtLY1XXnml1ff3888/07t3b8rLy4NtNH716dOHsWPHcu2117J+/frdfk678/TTT3PSSSeRnJzc7L2MHz++xdcsWrQo2I/vv/++yb6NGzdyww03cOyxx9K/f3/GjBnDJZdcwnvvvQc0/zlo7euCCy4AGj7rXbdnZmYyYcIEnn32Werr65ucOzIykjPOOINnn3223e8/EAjw/PPPc/755xMaGgo0/F588MEHXHrppYwePZrs7GxOO+00PvzwQwKBQLM2FEXhtdde47jjjqN///6cfPLJzJ07t9kxs2fP5qqrruKYY45h4MCBTJ48mRdffLHZ+wBa/VxeffXVdr+3rVu3Mn36dLKzsxk2bBj/93//12qgOS8vj1tvvZWRI0eSlZXF+PHjefrpp9t1noULF3LXXXcxefJk+vTps9tJEWVlZfz73//muOOOIysri3HjxvHII480+z27/PLL+fDDDykvL2/3+xVCCCGEEOJA0nd0B4QQQgghhBC7d8MNN5CSkoLX62XZsmV89NFHLFiwgLlz52I2m3f72gceeABVVQ9ST5vatd8rVqxgzpw5LFu2jLlz5xISErJHbbndbmbOnMl1113H8OHDm+y7+uqrueKKK/Zn14GGFXoWiwWXy8WiRYt4+eWX+fPPP/noo4/QaDR71Na7775LcnIyI0aMaLI9Pz+fiy++mOLiYiZOnMjZZ5+NwWBg48aNzJo1i3nz5vHDDz8Ej3/sscd488036d27N5dddhkRERGsXbuW999/n2+++Ya3336brl27tqtPv/zyC2vWrCEzM7PNY88++2wef/xxrr/+eqxWa7P9v/76K/369SM2NpaCggIAJk+ezNFHH42iKGzdupWPPvqI3377jU8//ZQ+ffq0q4+N1q9fz+LFi/n444+b7QsJCSE3N5dVq1aRlZXVZN/XX39NSEhIs4DV8uXLufDCC0lKSuLMM88kNjaW4uJiVq5cybvvvssFF1zACSecQFpaWvA1LpeL//73v5xwwgmccMIJwe0xMTHB/zcajTz44INAQ0B3/vz5vPjii+Tl5TFjxowmfTjnnHN47733WLJkCSNHjmzzM/jll1/Yvn07Z599dnBbfn4+DzzwACNHjuTiiy/GarWycOFC7rvvPlauXMljjz3WpI2nn36aV199lbPOOov+/fszf/58br31VjQaDSeddBLQ8Lv2r3/9i4EDBzJt2jSio6PJycnh+eefZ8mSJbz77rvNfv6POuooTj311Cbb+vbt2+Z7AigpKeG8884jLCyMm2++GZfLxZtvvsmmTZv47LPPMBqNwWPXr1/PBRdcQHx8PJdccgmRkZEUFRVRUlLSrnPNnTuXb7/9lr59+xIXF9fqcU6nk2nTpuFyuTj33HNJTExkw4YNfPDBB/z555/Mnj0brbZhHvXxxx+P1Wrlww8/5MYbb2xXP4QQQgghhDiQJPAnhBBCCCHEIe7oo4+mf//+AJx55plERETw1ltvMX/+fCZPntzia1wuFxaLBYPBcDC72sQ/+x0ZGclrr73G/PnzmTRp0n47j16vR6/f/7c2EyZMICoqCmgI0lx//fX8+OOPrFixotkqut3x+Xx8/fXXTJs2rcl2v9/PddddR2VlJe+++y5Dhgxpsv/mm2/mtddeC/577ty5vPnmm0yaNIknn3wSnU4HNHy2U6ZM4cILL+TGG29kzpw5bX4eSUlJOJ1OZs6cycsvv9zme5gwYQIPPvgg33//PWeccUaz/b/99htTp05tsq1v375NgkGDBg3i6quv5qOPPuL+++9v85y7+vzzz0lKSmLgwIHN9qWlpeH3+5k7d26TwF99fT0//fQTY8eObRI8BXj55ZcJCwtj1qxZhIeHN9lXWVkJQO/evendu3dwe1VVFf/973/p1atXsyBXI71e32Tfueeey7Rp0/jmm2/417/+1SRI2K1bN3r27MmcOXPaFfj7/PPPGTRoEPHx8cFtMTExfP311/To0SO4bdq0afzrX/9i9uzZXHPNNaSnpwNQWlrKW2+9xXnnncd//vMfoOFn5/zzz+fxxx9n4sSJ6HQ6DAYDH330EYMGDQq2edZZZ5GcnBwM/o0aNapJ3zIyMlr9TNry8ssv43a7mT17NklJSQBkZWVxySWXMGfOnGCgU1EUbr/9drp27cq7776LyWTa43PdfPPNPPDAAxgMBq688ko2b97c4nE///wzhYWFvPLKK4wdOza43Waz8cILL7Bhw4ZgYFOr1TJhwgS+/PJLbrjhhj2eFCCEEEIIIcT+Jqk+hRBCCCGEOMw0rhprXFnVmM4xLy+Pyy+/nOzsbG677bbgvn+ms1MUhXfeeYeTTz6Z/v37M2LECKZPn87q1aubHPfll18yZcoUsrKyGDZsGDfffDPFxcV73e/GwFZ+fn5wm9fr5dlnn2XKlCkMHjyYgQMHcu655/LHH38EjykoKAgGRmbOnBlMJfj8888DLdf48/v9vPDCC4wbN47MzEyOO+44nnrqKbxe7173f9fP3ePxMHHiRCZOnIjH4wkeU1NTw+jRo5k2bVow1eKyZcuorq5uFiz58ccf2bBhA1dddVWzoB+A1Wrl5ptvDv575syZ2Gw2HnjggWDQr1FWVhaXXXYZmzZtahbkakloaCgXXXQRv/zyC2vXrm3z+OjoaHr16sX8+fOb7du4cSPFxcUcc8wxu23jnz+3zz33HL1792bJkiVNjvv3v/9NZmYmGzZsCG6bP38+I0aMaDWoMnnyZL799lsURQlu+/nnn4Pfp3/Ky8uje/fuzYJ+je91f9FoNAwaNAhVVZv83DcaNWoUv/zyS5urcuvr6/n999+b/QxFRUU1Cfo1alyRuHXr1uC2efPm4fP5OPfcc5v075xzzqGkpIScnBygYdXirkG/3bW5K4/H02Iq0Lb8+OOPjB07Nhj0g4bPJSMjg++++y64beHChWzatIlrr70Wk8mE2+1uMZ3p7sTHx7drMkRjSt9//izExsYCNFuxPGrUKAoLC/cpla0QQgghhBD7iwT+hBBCCCGEOMzk5eUBEBEREdzm9/uZPn060dHR3HHHHa3WPAO4++67efjhh0lISOC2227jiiuuICQkhJUrVwaPeemll7jjjjtIT0/nzjvv5MILL2TJkiWcd9552O32vep3YWEhQJNgi8Ph4LPPPmPYsGHcdtttXHfddVRVVXHZZZcFH6JHRUXx3//+F2gIPjz++OM8/vjjTdIt/tM999zDc889R9++ffnXv/7F0KFDeeWVV5oE0vbUrp+7yWTiscceIy8vr0l9sfvvv5+6ujoeeeSRYHAuJycHjUbTLPVhYxCtPSulduzYwfbt24NpBVty2mmnAQ0pIdvjoosuwmazBQOobenXr18wOLSrBQsWEB0dHVzd2Zp//txeffXV9OnTh7vvvjsYaPn999/59NNPueaaa4Kr7UpLSykqKtpt6sjJkydTXl7epAbk3LlzGTFiRIuBvOTkZNauXcumTZt2/6b3g5Z+7hv169cPu93e6sqzRmvWrMHn87U7fWZjDdDIyMjgtvXr12OxWOjWrVuTYxtXSbYVtGqpzUZz5sxh4MCBZGVlMWnSJL7++ut29bO0tJTKysoW081mZWU16VNjgNhoNDJlyhQGDhzIgAEDuPnmm6mpqWnX+dpr6NChaLVaHnroIVasWEFJSQkLFizg5ZdfZty4cc0+w8b+L1++fL/2QwghhBBCiL0hqT6FEEIIIYQ4xDkcDqqqqvB6vSxfvpwXXngBk8nEscceGzzG6/UyceJEbr311t229ccffzB79mwuuOAC7rnnnuD2Sy+9NLjqqLCwkOeff56bbrqJq666KnjM+PHjOf300/nwww+bbG9Pv1euXMnMmTMxGo1N+m2z2fj555+b1PE666yzOPHEE3nvvfd4+OGHsVgsTJgwoc00i402bNjAnDlzOPPMM4P11s477zyioqJ48803+eOPP5rV2mtJbW0tQLDG34cffkhMTExwdd6AAQO47LLLeO211zjhhBOoqKjgm2++4a677qJLly7BdrZt24bNZmsWsNu2bRthYWEkJia22ZctW7YANFvZuKuUlBSsVivbtm1rsz1oWFF44YUX8vzzz7N27Vr69eu32+NTU1Oprq6msrKySTBtwYIFHH300c1W47ndbqqqqlAUhW3btvHII48ABFfgGQwGHnvsMaZMmcKjjz7K7bffzt13301mZmaTmo2N7yclJaXVvmVkZJCZmcncuXMZOXIkdrudBQsWBL///3TppZdy+eWXc9ppp5GVlcXgwYMZOXIkw4cP3+f0uFVVVUDDz/+8efP48ccf6dmzZ4u1F1NTU4GG72/Pnj1bbbM9n0Ejr9fLO++8Q0pKSpNgbHl5OdHR0c2+T42r2MrKynbb7uuvv47VauXoo49usj07O5sTTzyRlJQUysrK+PDDD7ntttuoq6trsrqwJY3nbOzDP/tVU1OD1+vFaDSyY8cOAG666SbGjBnDlVdeyYYNG3j11VcpLi7eq9qbrenevTv3338/jz/+eJOaiqeffnqLP1ONKwkbf0+FEEIIIYToSBL4E0IIIYQQ4hB38cUXN/l3cnIyTz75ZJNaX9BQh64tP/74IxqNhuuuu67ZvsaH5j/99BOKonDiiScGgxjQUE8sPT2dP//8s12Bv5b6/cQTT5CQkBDcptPpgivjFEXBbrejKAqZmZmsW7euzXO0ZMGCBQBccsklTbZfeumlvPnmmyxYsKBdgb9/pojs0aMHjz76KGazObjtuuuu45dffuGOO+7A5XIxbNgwLrzwwiavq6mpwWazNWvf4XAQGhrarvfkdDoB2jw+NDQ0uHquPS666CLeffddZs6cyUsvvbTbYxtXrFVXVwcDf3a7nRUrVnD++ec3O/75559vsprQarVy2223NVmN2rNnT2644QZmzJjBxo0bqa6u5s0332xSo7C6urrJ+Vtz8skn8+KLL3Lvvffyww8/oNPpGDduXIupTI866ig+/vhjXn31VRYuXEhOTg6vv/46UVFRPPjggxx//PG7PVdrXC5Xs3p9gwcP5rHHHmsxKLXrZ7o7jSvaWvo5+qcHHniALVu28Oqrrzb5HD0eT5MAe6PGtJW7pqz9p5dffpnFixdz7733Nvs+fPzxx03+PXXqVKZOncrTTz/NlClTdluLrzE1aFv9MhqNuFwuAPr378+TTz4JNNSeNJvNzJgxo8Xag/siPj6erKwsjj76aJKTk1m6dCnvvfcekZGR3HHHHc2Ot9lsbX4fhRBCCCGEOBgk8CeEEEIIIcQh7j//+Q9dunRBp9MRExNDly5d0GqbZu3X6/VNAmqtycvLIy4urkma0H/asWMHqqq2mi5012BCe/pdV1fH559/zt9//93iA/45c+bw5ptvsn37dnw+X3B7e1Y3taSwsBCtVktaWlqT7bGxsYSHhwdTL7bl+eefx2q1Bj/bf7YHDQGLhx9+mDPOOIOQkBAefvjhFgM8LdVws1qtLdZ9a0ljwK8xANgap9O5RzXqwsLCgqv+1q1bt9vgWuN72PX9LVy4EIDRo0c3O/7ss89m4sSJaDQawsPD6dGjR4vf/+nTp/PNN9+watUqbrnlFrp3777b87dm0qRJPPbYY/z222989dVXjB07ttW0qNCQSnLmzJl4vV42bNjAvHnzePvtt7nxxhv54osvWu3H7oSEhPDyyy8DUFJSwuuvv05lZWWzmnD/1N6Vam19Bq+//jqffvopN954Y7OaiyaTqcUal43Bt9YCdN9++y3PPPMMZ5xxRpsr+KDhd+K8887j3nvvZc2aNQwZMgSn0xkM3EFDwD8qKir4ubSnX43/nTx5cpPjJk+ezIwZM1i+fDmjRo2irq6uSRDTYDDsdrxrybJly7jqqqv45JNPgqsmx40bh9VqZebMmUydOrXZz4eqqvttxaEQQgghhBD7QgJ/QgghhBBCHOKysrLarJ9mNBqbBQP3lqIoaDQaXnvtteBqvF1ZLJZ2tbNrv8eNG8e5557Lrbfeyvfffx8MZH355ZfceeedjBs3LlijUKfT8corr7Q7KNaafX0IP2TIEKKioto8rjH4VV9fT25ubjB9Y6OIiIgW6yJ27dqVdevWUVxc3Ga6z8aaYhs3bmz1mMLCQhwOR7P6Y2256KKLeOedd5g5cyZ33XVXq8c1vodda7wtWLCAQYMGERYW1uz49PT0dq3Ays/PJzc3F6DFmnuN52urtmRcXBzDhg3jrbfeYvny5e2uXWg0GsnKyiIrK4uMjAz+9a9/8f3337e4KrYtOp2uyXsePXo0J554Iv/5z3+CAcFdNaaTbalu3q4aA1e1tbWtBvhnz57Nk08+ybRp07jmmmua7Y+NjeXPP/9sFqAqLy8HGj6/f1q0aBG33347Y8eO5b777tttH3fV+PPc+P7efPNNZs6cGdyfnJzMzz//HDxnYx92VV5eTkRERDBY3HjsPwPbu64+BXjooYeYM2dOcP+wYcN477332t13gE8++aTFupXHHXcczz//PDk5Oc0Cf3a7vc3voxBCCCGEEAfD/nkyIIQQQgghhDgspKWlUVZWFkwd2NoxqqqSkpLCqFGjmn0NHDhwj8+r0+m45ZZbKCsr44MPPghu/+GHH0hNTWXmzJmcdtppjBkzhlGjRgVX+zTakyBecnIyiqIEg0mNKioqsNvtJCcn73H/W7NhwwZeeOEFpkyZQt++fbnnnnuoq6trckzXrl2pra1ttr2x1uFXX33V5nm6dOlCRkYG8+fPbzWV5xdffNGk3fYKCwvjoosuYv78+axfv77V4woKCoiMjAwGQ1VV5ffff2+2smxPKIrCnXfeidVq5aqrrmLu3Ln8+OOPTY5prI1XUFDQZnuTJ09m6dKlLdaia4/MzEyg7Xp37RUXF8fFF1/ML7/8wooVK5rtb3xPbQVr2/oM5s2bxz333MP48eO59957WzymT58+uN1utm7d2mT7ypUrg/v/uf26664jMzOTZ555pt0rfYFg0L7xZ+W0007jrbfeCn498cQTQEM6zaioKNasWdOsjVWrVtG7d+/gvxtrUJaWljY5rvF71Xiuyy67rMm5WkrL2ZbKykoURWm23e/3N/lvo9LSUnw+3x4H3YUQQgghhDgQJPAnhBBCCCHEEWT8+PGoqtpk9U2jxjSC48ePR6fTMXPmzGapBVVV3es6VsOHDycrK4t33nknGNhrXFG463lWrlzZLEjSWFevrVVfQDAQ9c477zTZ/tZbbzXZv698Ph//+te/iIuL4+677+aRRx6hoqKChx9+uMlxAwcORFXVZsGNCRMm0LNnT15++WVycnKate9wOHj66aeD/7722mupra3l3nvvJRAINDl2zZo1vP766/Ts2bPVFK27c9FFFxEeHs4LL7zQ6jFr165tEvRdvXo1lZWVjB07do/P1+itt94iJyeH+++/nxtvvJHs7Gz++9//NqktGR8fT2JiYovBoX+aOHEi1113Hffee2+LaUUb/fHHHy2mzWysD9kYaNsfzj//fMxmM6+++mqzfWvXriUsLIwePXrsto3MzEwMBkOLn8Hff//NLbfcwpAhQ3jyySdbXfl7/PHHYzAY+PDDD4PbVFXl448/Jj4+nuzs7OD2rVu3csUVV5CcnMwrr7zSahrQXb9PjRwOB++88w6RkZHBYF1qamqTyQODBw8OHj9+/Hh+/fVXiouLg9uWLFnCjh07mtTZPP744zEajcyePbtJUO6zzz4DCK607N69e5NzNQZz90RGRgYVFRX8+eefTbbPnTsXgL59+zbZ3vh92fUzFEIIIYQQoqNIqk8hhBBCCCGOICNGjODUU0/lvffeIzc3lzFjxqAoCsuWLWP48OGcf/75pKWlcdNNNzFjxgwKCwsZN24coaGhFBQUMG/ePM466yymT5++V+efPn06N954I7Nnz+acc85h7Nix/Pjjj1x77bWMHTuWgoICPv74Y7p3796kJpjJZKJ79+589913ZGRkEBERQY8ePejZs2ezc/Tu3ZvTTz+dTz75BLvdztChQ1m9ejVz5sxh3LhxjBgxYq8/v1299NJLrF+/nrfffhur1Urv3r259tpreeaZZ5g4cWIwwDh48GAiIiJYsmQJI0eODL7eYDAwc+ZMLrnkEs4//3wmTpzIoEGDMBgMbN68mblz5xIeHs7NN98MwCmnnMLq1at599132bp1KyeffDLh4eGsW7eOzz//nIiICJ599lkMBsMev5fGWn8tBYShYQXUxo0bm9R4+/XXX0lOTt6rWnjQEFx69tlnmTJlCscddxwAjz76KKeddhr33Xcfzz77bPDY448/np9++qnNOmphYWFcf/31bZ77wQcfxO12c8IJJ9C1a1d8Ph/Lly/nu+++Izk5mSlTpuzVe2pJZGQkU6ZM4cMPP2Tr1q1NVoUtXryYY489ts0VrSEhIYwePZolS5Zw4403BrcXFhZy9dVXo9FomDBhAt99912T1/Xq1Su4ai4hIYELL7yQN954A7/fT//+/Zk3bx5Lly7lySefDAbhHQ4H06dPx263M336dH799dcmbaalpQUDXB988AHz5s3j2GOPJSkpibKyMmbPnk1RURGPP/74boOvja666iq+//57LrzwQi688EJcLhdvvPEGPXv2ZOrUqcHjYmNjueqqq3juuee47LLLOP7449m4cSOffvopkydPJisrq81zbdiwgZ9//hmA3Nxc6urqePHFF4GGcaPx5/C8885j9uzZXHXVVVxwwQUkJSXx999/M3fuXI466igGDBjQpN3FixeTlJTULCAohBBCCCFER5DAnxBCCCGEEEeYRx55hF69ejFr1iwef/xxwsLCyMzMbLJa5YorriAjI4O33347uAosISGBo446KvhwfG+MHz+etLQ03nzzTc466yymTJlCRUUFn3zyCQsXLqR79+488cQTfP/99/z1119NXvvggw/ywAMP8Mgjj+Dz+bjuuutaDPw1HpuSksKcOXOYN28eMTExXHnllXtVt60la9eu5ZVXXuH8889vEki84oormD9/Pvfccw/ffPMN4eHhGI1GTj75ZL7//ntuueWWJu2kp6fzxRdf8Pbbb/PTTz8xf/58FEUhPT2dM888kwsuuKDJ8XfffTfDhw/nww8/5JVXXsHtdpOYmMh5553H5Zdf3q6ahK1prPX3z5SkAD/++CNGo5ETTzwxuG3BggV7vXoyEAhwxx13EBkZ2aSuYEZGBrfccgsPPfQQ3377LZMmTQJg6tSpvP/++yxbtowhQ4bs1Tl3dfvtt/P999+zYMECPvnkE3w+H0lJSZx77rlcffXVhIeH7/M5dnXJJZfw8ccf89prr/Hoo48CDYHPTZs27bau4q6mTp3K9ddf36QmZEFBQfD7df/99zd7zXXXXdckXeZtt92GzWbjk08+Yfbs2WRkZPDEE09w8sknB4+pqakJrr6bMWNGszZPP/304FgxaNAgcnJymDVrFjU1NZjNZrKysnjooYeaBLl3JzExkffff59HH32UGTNmYDAYOOaYY7jzzjubBQ6vueYabDYb7733Ho888ggxMTFcddVVXHvtte0617p165oElIHgv08//fTg2Na1a1c+//xznnnmGb766isqKiqIi4vj0ksv5YYbbmjyekVR+OGHHzjjjDP2ua6oEEIIIYQQ+4NGbSm/iRBCCCGEEEKI/SY/P58TTzyR1157rd0BkUPJaaedxrBhw4JBqoqKCkaPHs0rr7yy31KntuWiiy4iLi4uWB/ucPfQQw+xdOlSZs+e3a6AUSAQYNKkSZx44oncdNNNB76Dol3mzZvHrbfeyk8//URcXFxHd0cIIYQQQgip8SeEEEIIIYQQB1pqaipTp05tsc7boe63334jNzeXK6+8Mritrq6Oa6+9luHDhx+0ftxyyy189913FBYWHrRzHijV1dXMmjWLm266qd2rxHQ6HTfeeCMffvghTqfzAPdQtNdrr73GeeedJ0E/IYQQQghxyJAVf0IIIYQQQgghhBBCCCGEEEJ0ArLiTwghhBBCCCGEEEIIIYQQQohOQAJ/QgghhBBCCCGEEEIIIYQQQnQCEvgTQgghhBBCCCGEEEIIIYQQohOQwJ8QQgghhBBCCCGEEEIIIYQQnYAE/oQQQgghhBBCCCGEEEIIIYToBCTwJ4QQQgghhBBCCCGEEEIIIUQnoO/oDhzuysvrOroLQhxWtFoNUVGhVFU5URS1o7sjhOgAMg4IcWSTMUAIIeOAEEc2GQOEEDIOCLF3YmPD2nWcrPgTQhxUWq0GjUaDVqvp6K4IITqIjANCHNlkDBBCyDggxJFNxgAhhIwDQhxYEvgTQgghhBBCCCGEEEIIIYQQohOQwJ8QQgghhBBCCCGEEEIIIYQQnYAE/oQQQgghhBBCCCGEEEIIIYToBCTwJ4QQQgghhBBCCCGEEEIIIcT/s3fX8VWW/x/H3+ecdbHe2EazIkZ3hyAgoZSoKIqCCKKIioWKhYqJhYJiCwo2gtLdNWrUaBiMddc5vz/8ua9zAwZsO4vX8/HgobvvK973gAvGZ9d1VwIU/gAAAAAAAAAAAIBKgMIfAAAAAAAAAAAAUAl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UuhcVf0Amg1H1PYJLJbckOdo4amjorXq989s6nhStccvuVVT8gaseJzsvW3P3zlbbgPZq7NPkku2q2bvr9c5vq5lvc2XnZV3x/X7/zUrRDwCAyofCHwAAAAAAqNIycjO08PAPMkj6bM/sIt8tdzV+ODhPwR4hauLTrGQCVkE9avWSvclBfxz7Lf/atvNb5e/sr+ouAZfsF+IZqiY+zfT9we8K/TwejD+g2tXqyt5kX2q5/9HEt5k+7DlHPk6+mrRygtaeXn1V/X+P/kUX0s9rdKMxV2zrYOOg59u/rM9u/Fq13GpfY2IAAFBZVJjC3zfffKPu3burcePGGjp0qCIjIy/ZduTIkQoNDS30Y8yY//1lKS0tTS+88II6d+6siIgI9e3bV999911ZPAoAAAAAAChHFh/7XanZyXqk5RQdSjhY5G4xSTqdckpnU89cdqzDCYe088IODQ259bqPDK3KnG2d1bNWLy2K/lW55lxJf7/fr4Vfqyv2HRp6qw4lHNTeiwX/7ehQQpTCrvP9flfDx8lHb3R5Vx0DO+uVzdO05dzmYvVLykrUN/u/VK/afVS7Wp1i9TEZTcV6tx8AAKj8KsQ7/v744w9Nnz5d06ZNU5MmTfTFF19o9OjRWrJkiby8vAq1f++995STk5P/cWJiogYOHKgbb7wx/9qrr76qTZs2acaMGQoMDNT69es1bdo0+fr6qkePHmXyXAAAAAAAwLqy87L1w8F56l7zBt1Yp69WnlqmuXvnqH1AxwLviDuTcloTV4xTZm6m7ml8n24JHiqjofD3U/9wcJ78nf2v6shFFK1/vUH67egvWn9mrcK9Gup0yimNajj6iv1a+bdWTbdamrPnY7Xyb6P4zHglZMbrRPJxDao/pAyS/4+dyU5TWj+tzI2Zen7D05reaYaa+F56J2h2XrambZgqg8Gou4rxrAAAAP9VIXb8zZ07V8OGDdPgwYNVv359TZs2TQ4ODlq4cGGR7d3d3eXj45P/Y/369XJwcChQ+Nu5c6cGDRqkNm3aKCgoSMOHD1dYWNhldxICAAAAAIDKZdmJvxSXcVG3ht0uSbqn0RidSjmppSf+zG+Tkp2sZ9Y/ITe7aupXd4A+3v2hHls9SefTYiRJZotZO89v1+tbXtHq0ys0OHhYgaIhrk2danUV4dNEvx79WTvOb5NBUjPf5lfsZzQYdXv4SB2MP6Bfjvyo/XF7lJmXod61+6p9QIfSD/4fNkYbTW07TY19IvTM+ie0P25fke0sFove2f6GDsTv17T2L8vb0buMkwIAgMqg3O/4y87O1r59+zR27Nj8a0ajUe3bt9fOnTuLNcbChQvVr18/OTk55V9r1qyZVqxYoSFDhsjX11ebN2/WsWPH9OSTT15VPqPRIKORozuA4jKZjAX+C6DqYR0AqjbWAADlaR3IM+fp+0PfqlONLqrnWVeS1NC3gTrX6KKvD3yuXnV7yWgw6uXNzys5O1Ef3PCxglxrqHPNznp188sas3SUetbqpU3nNio2/YICXQJ1d+N7NTBkkGzKwfNVBgODb9ZLG59XtjlToV5h8nT2KFa/XnV764Y6vcrNcas2Ng56qfN0TVn1qJ5Z97he6vSqInybFGjz7f6vtezkn3qy7VQ18Y+wUtLSV57WAADWwToAlK5yX/hLSEhQXl5eoSM9vby8FB0dfcX+kZGROnTokF5++eUC16dOnaqpU6eqc+fOsrGxkcFg0EsvvaRWra58Vvy/eXo6l5u/RAIViZubo7UjALAy1gGgamMNAFAe1oE/j/yp8xnn9MaNr8vDwzn/+qSOEzV8wXCtOLdEJ5JOaG98pD7s+6EaB4RJkrp7dFLrugv0xoY3tOHUenWt21U3hdykxr6N+TeCEjbArY8+3vO+jiQd0qimowr8PFU0HnLWrIEfaPwf4zV59UQ19G2o4Q2Hq2fdnlp3cp3m7put+1uN1bBmN1s7apkoD2sAAOtiHQBKR7kv/F2vBQsWKCQkRBERBb9T6quvvtKuXbv00UcfKSAgQNu2bct/x1/79u2LPX58fBo7/oCrYDIZ5ebmqOTkDOXlma0dB4AVsA4AVRtrAIDysg6YLWbN2vKJWvi2kr9NTSUkpOXfc5evetTopbc3vKscc7Ymt3pcdR3DCrSRDHqoyWN66F+bthIT08vuAaqQ3jX76uv9XyrcLeI/PwcV05ud39Omsxv08+Ef9fSyZ/S6/Qxl5Gaqc2A3Da17e6V4xsspL2sAAOthHQCuTXG/AarcF/48PDxkMpkUFxdX4HpcXJy8vS9/1nl6eroWLVqkiRMnFriemZmpt99+W++//766du0qSQoLC9OBAwf06aefXlXhz2y2yGy2FLs9gL/l5ZmVm8sf7EBVxjoAVG2sAQCsuQ6k56Trr+OLdSzxmB5sOqnIHLeHj9Kqkys1IHiYetfqx5plRQPrDVau2awGHo0rzc9Da7/2au3XXqdTTunXoz8rPiNOj7SYorw8i6Sq8e9M/F0AAOsAUDrKfeHPzs5ODRs21MaNG9WzZ09Jktls1saNG3XHHXdctu+SJUuUnZ2tAQMGFLiem5urnJycQsdvmEwmWSxV4y9XAAAAAABUJUcTD2vlyeXaHbtLhxKiZLZY1DagvRr7NCmyvZ+Tn+bd9KOcbJ3KOCn+q5q9u+5pdJ+1Y5SKINcaeqDpg9aOAQAAKpFyX/iTpLvvvltTpkxRo0aNFBERoS+++EIZGRm65ZZbJEmPP/64/Pz8NHny5AL9FixYoJ49e8rDo+CLn11cXNS6dWvNmDFDDg4OCggI0NatW/Xzzz/riSeeKLPnAgAAAAAApS8nL0eTVz0kW6Otmvo2V+/afdXUt5kCXYIu24+iHwAAACqaClH469u3r+Lj4zVz5kzFxsYqPDxcc+bMyT/q89y5czIajQX6REdHa/v27frss8+KHPOtt97SW2+9pUcffVRJSUkKCAjQpEmTNGLEiFJ/HgAAAAAAUHb2XNyttJw0zbphjuq5B1s7DgAAAFBqDBbOtrwusbEp1o4AVCg2NkZ5eDgrISGNM7yBKop1AKjaWAMAWGMd+GjX+1pzeqW+7beg0Gs/AJQt/i4AgHUAuDY+Pq7Fame8chMAAAAAAICKa9O5DWpTvR1FPwAAAFR6FP4AAAAAAECldTrllM6mnlGb6u2sHQUAAAAodRT+AAAAAABApbXp3AbZGm3VzLeFtaMAAAAApY7CHwAAAAAAqLQ2nd2opr7N5GDjYO0oAAAAQKmj8AcAAAAAACql1JxU7b24W22rt7d2FAAAAKBMUPgDAAAAAACV0vaYrcqzmHm/HwAAAKoMCn8AAAAAAKBS2nxuo2q71ZGfs7+1owAAAABlgsIfAAAAAACodMwWs7bEbFbbAHb7AQAAoOqg8AcAAAAAACqdqPgDSspKVGuO+QQAAEAVQuEPAAAAAABUOpvPbZSrnasaeDa0dhQAAACgzFD4AwAAAAAAlc7mcxvUyr+1TEaTtaMAAAAAZYbCHwAAAAAAqFRi02N1NPGo2lRvb+0oAAAAQJmi8AcAAAAAACqVTefWy2gwqJV/a2tHAQAAAMoUhT8AAAAAAFCprD+zVhE+zeRq52btKAAAAECZovAHAAAAAAAqjdScVO2O3akOAR2tHQUAAAAocxT+AAAAAABApbH13GblmvPULqCDtaMAAAAAZY7CHwAAAAAAqDQ2nF2neu715efsb+0oAAAAQJmj8AcAAAAAACqFnLwcbYnZpPYc8wkAAIAqisIfAAAAAACoFCIv7lJ6Tro6BFL4AwAAQNVE4Q8AAAAAAFQK68+sk5+Tn+pWq2/tKAAAAIBVUPgDAAAAAAAVnsVi0caz69QuoKMMBoO14wAAAABWQeEPAAAAAABUeIcTDulixkWO+QQAAECVRuEPAAAAAABUeOvPrpWrnasaezexdhQAAADAaij8AQAAAACACm/j2XVqXb2tTEaTtaMAAAAAVkPhDwAAAAAAVGjnUs/qWNIxdQjoZO0oAAAAgFXZWDsAAAAAAADA1crOy9b+uL3acWG7Np5ZL1ujrVr4tbJ2LAAAAMCqKPwBAAAAAIAKIyM3Q+/vfEerTq1Qdl62qtm7q5lvc41pMk5Otk7WjgcAAABYFYU/AAAAAABQIVxIv6Bn1z+p0ymnNLLBKLXyb6061erJaOBNJgAAAIBE4Q8AAAAAAFQAB+L269n1T8rOZKd3u3+geu7B1o4EAAAAlDsU/gAAAAAAQJnKM+fpWGK0oi5G6UjiEYV6hql7zZ6XbL/8xF96c9vrCvEI1XPtX5SHg2cZpgUAAAAqDgp/AAAAAADgquWac/X70V8U7BGqht6NitUnPSdd0ze8oMiLO5WRnSmLRXKyddKKk0vVtUb3Io/sjEk7p9e2vKzutW7QIy0el53JrqQfBQAAAKg0KPwBAAAAAICrcjTxsGZsna6jiUdVzd5dn/T6TJ4OXpftk5OXoxc2TlVU/H6NbzNegfa1Vcu1rk4kHdfDK8dr38U9auzTpFC/1adWytZkp4nNHqHoBwAAAFwBb78GAAAAAADFkpOXoy/3zdX4ZWOUZzbr5Y6vyyDpja2vymKxXLKfxWLRm9tf0+7YnXqh0yu6PeJ2NfFtKhdbF4V7NZCXo5fWnllTZN81p1eptX9bOdk6ldJTAQAAAJUHhT8AAAAAAErJkYTDiozdZe0YJSI2PVYPrhirbw58oVvD7tCHPWerdfU2eqzVU9oas0U/H1l4yb6f7Z2t5SeW6rFWT6m5X4sC94wGozoEdta606sLFQ/PpZ7VoYSD6hzUtTQeCQAAAKh0KPwBAAAAAFAKMnIz9Mz6KXp+wzPKyM2wdpzrEpseq0dXP6SU7BS93+MTjWo0WrYmW0lS6+ptNKj+YM2OnKXopKOF+v5y5EfNi/pGYyLGqXvNnkWO3zmwi2IzYnUwIarA9TWnV8nOZKc21duV/EMBAAAAlRCFPwAAAAAASsGCQ/OVlJWotJxULT2+xNpxCtl7cY9Sc1Kv2O6fol+uOUdvdp2pYI+QQm3ui7hfgS5Bmr7pRWXlZSkpK1GLon/TlDWP6IOd7+qW4KEaGnrrJedo7NNE1ezdtfb0qgLXV59eyTGfAAAAwFWg8AcAAAAAQAmLy4jT9we/0831h6hTYFctPPyDzBaztWPlO5l8QpNWTtDUdU8oOy/7ku1i02M1efXE/KKfv3P1ItvZmez0ZNupOpN6WmP/ukfDfhukmTveVJ7ZrIdaPKqxTR64bB6jwagOAR219sya/OM+z6We1eGEQ+pSo9u1PygAAABQxVD4AwAAAACghH2+b47sjHa6LXykBocM09nUM9p0doO1Y+X7+ciPcrVz1cH4KM3YOr3IomRM2jlNXj1RZnPeZYt+/6hbrZ4eajFZ1V2qa0KzSZp30496o+s76le3v4yGK//zQ4fAzjqXelbRSUck/b3bj2M+AQAAgKtjY+0AAAAAAABUJtGJR/TnsT/0QNOJcrFzVbhXAzX0aqQFh+arfWBHa8dTanaKlp5YoqEht6pOtbp6ceOz8nf21+jGYyVJFotFS08s0fs731U1+2p6o+u7Vyz6/aN37T7qXbvPNeVq5ttczrbOWnt6jeq5B2vN6VVqU72dHG0cr2k8AAAAoCpixx8AAAAAACXEYrHo48gPFeASpJvqDcy/PjhkmPZcjNTB+CgrpvvbkuN/KNeco5vqDVCnoC4a22S85kV9q9+P/qrkrCS9sPFZzdj6qtoHdtRHN3xa7KLf9bI12aptQHutO7Mm/5jPzkFdy2RuAAAAoLKg8AcAAAAAQAnZGrNFO85v15iIcbIx/u+QnQ6BnVTduboWHJpfJjnWnl6t+VHfFrputpj1y5Ef1aVGd3k6eEmSbgkeqgH1b9Z7O9/S6D/v1O7YnXqm7fN6ovUzcrF1KZO8/+gc2FUnko/r6wNfcMwnAAAAcA046hMAAAAAgBJgtpj1SeSHivBponYBHQrcMxqMuiV4qD7a/Z7uTb9ffk5+pZZj49n1emnTczJbLHKydVL/eoMK3ItJi9EzbaflXzMYDBrfdKLSslOUlpuuic0ekY+TT6nlu5wW/q3kYOOgv44vUaegLhzzCQAAAFwldvwBAAAAAFACVp9aqRPJx3VfxDgZDIZC93vV7iMnG2f9fHhBqWXYE7tbL258Tu0DOmlg/Vv0wc53tevCjvz7Px1eqAZeDRXqGVagn9Fg1BNtpurFDtOtVvSTJHuTvdr4/73Lj2M+AQAAgKvHjj8AAAAAAK6T2WLWNwe+VCv/1grzDC+yjZOtk/rV7a8fDs3T0hN/ydZoIxujjexNDupao7tuDh4iZ1vna84QnXRUz65/SuFeDfVkm6kyGUw6mXxcL258Th/0/ETpOWnaHbtTT7V59prnKAu96/TRocSDHPMJAAAAXAODxWKxWDtERRYbm2LtCECFYmNjlIeHsxIS0pSba7Z2HABWwDoAVG2sAaisVp5crlc2v6CZ3T9SuFeDS7ZLzU7Rn8cXKysvS7nmXOWYc5SQGa/lJ5fKycZJw0JHaED9m6/6iMvzaTF6aOUDcrd31xtdZ+a/my8lO1njl4+VvdFedarVVeTFXfq67/cF3j9Y1lgHgKqNNQAA6wBwbXx8XIvVjh1/AAAAAABch3/v9rtc0U+SXOxcNThkWKHrdzUcrW8PfKm5e2drwaH56lKjuwJcAlTd+e8fAS6BsjPZXXL+qeufkJ3RTq90mpFf9JMkVzs3vdD+FU1cMU7Hk4/p7kb3WrXoBwAAAKB08bd9AAAAAACuw9rTq3Ui+bgeafn4NY/h4+Sjh1pM1vCw2/Tdga+188J2/RH9m3LMOZKk6s7V9XGvuUXuBFx3Zo2OJR3Tu90/lKeDV6H7tavV0VNtn9NX++aqb52brjkjAAAAgPKPwh8AAAAAANfIbDHrq/2fq6V/KzXwanjd4/k7V9eklo/ljx2fGa/oxKN6bsOT+unwAt0WPrJAe4vFom8PfKVmvs0vO3/b6u3UlnfmAQAAAJWe0doBAAAAAACoqNadWaMTycd1R/ioEh/baDDK29Fbrau3Ub+6AzX/4LdKzkoq0GZrzBYdTTyiEWF3lPj8AAAAACoeCn8AAAAAAFwDs8Wsr/Z9ruZ+LdTQu1GpznV7+EiZLWbNP/htgevfRX2lMM9wNfVtXqrzAwAAAKgYKPwBAAAAAHCVLBaL5kTO0vHkY7qzwT2lPp+Hg6eGhAzXT4cXKjY9VpK0J3a39l7co9vCR8pgMJR6BgAAAADlH4U/AAAAAACugsVi0Zw9s/TDofma0OyhUt/t948hIcPlaOOor/d/Lkn6Nuor1alWR214dx8AAACA/0fhDwAAAACAYvqn6Pf9wXka33SiBta/pczmdrZ11m3hI7Xk+CKtOLlM22K26tawO2Q08KU9AAAAgL/x1QEAAAAAAMVgsVj06Z6P9f3BeXqg6YMaFDy4zDP0rzdIXg7eem3LSwpwCVTXGt3LPAMAAACA8ovCHwAAAAAAV5CSnawZW6dr/sHvNK7pBN0cPMQqOexMdrqz4T0yWywaHnobu/0AAAAAFGBj7QAAAAAAAJRXFotFa8+s1ns73laOOUePtXpCvWr3sWqmXrVvlL+zvyJ8mlo1BwAAAIDyh8IfAAAAAKDKy87L1lvbXpON0VYBLoHyd64ub0dvLTz0gzacXaf2AR31YPNJ8nb0tnZUGQ1GNfVtbu0YAAAAAMohCn8AAAAAUIZi02Pl5ejFEY3lzO7YnVp+cpnqudfThrPrlJKdIklyt3fX1HbT1CmwiwwGg5VTAgAAAMDlUfgDAAAAgDKy6ewGTV3/pPyd/dW7dl/1qt1Hvk6+1o4FSdvPb5WXo5c+6vmpDAaDUrNTdD49Rv7OAXK2dbZ2PAAAAAAoFgp/AAAAAFAGEjLj9ca219TMt7l8nfw0L+obfbnvM7X0b60Hmk5UkGsNa0es0nac36YWfq3yd/W52LnKxc7VyqkAAAAA4OpwtgwAAAAAlDKLxaI3tr4qg6Qn20zVo62e0Pf9f9bDLR7TkcTD+vrAF9aOWKXFZcTpWNIxtfBrae0oAAAAAHBd2PEHAAAAAKXs16M/aUvMZr3U8TV5OHhKkpxsndS37k06mnRE22O2Wjlh1bbzwjZJUjPfFlZOAgAAAADXhx1/AAAAAFCKjicd08e7P9SA+jerTfW2he6He4brTOppJWclWSEdJGnb+a2q514vvygLAAAAABUVhT8AAAAAKCXZedl6dcuLqu4SoDER44psE+7ZUJIUFR9V4nPjyiwWS/77/QAAAACgoqPwBwAAAAClwGKx6MNdM3Ui+bieajNV9ib7ItsFuATKzc5NUfH7S2zuxccW6dbfb1F6TnqJjVlZHUuOVkJmAoU/AAAAAJUChT8AAAAAKAU/HJqnRdG/6aHmj6qee/Al2xkMBoV5hutA/L4SmTcnL0df7/9cKdkp2nRuQ4mMWZltj9kqW6OtGnlHWDsKAAAAAFw3Cn8AAAAAUMLWnVmjOZGzdGvY7bqxTt8rtg/3aqiouAMyW8zXPfeyk3/pQvoF+Tr5as3pVdc9XmW348I2Rfg0kZ3JztpRAAAAAOC6UfgDAAAAgBJ0MD5K0ze/qE5BXXV3o3uL1Sfcq4FSc1J1OuXUdc2dZ87Td1Ffq2NgZw2sf4u2nNvEcZ+XkZ2Xrd0Xdqm5X0trRwEAAACAElFhCn/ffPONunfvrsaNG2vo0KGKjIy8ZNuRI0cqNDS00I8xY8YUaHf06FHdf//9atGihZo2barBgwfr7Nmzpf0oAAAAACqp82kxmrr+CdVzr6/HWz8lo6F4X3KFeobLIF33e/5WnVquc6lndVv4SHUO6qoccw7HfV7G3ouRyjHnqCXv9wMAAABQSdhYO0Bx/PHHH5o+fbqmTZumJk2a6IsvvtDo0aO1ZMkSeXl5FWr/3nvvKScnJ//jxMREDRw4UDfeeGP+tZMnT+q2227T4MGDNXHiRLm4uOjw4cOyt7cvk2cCAAAAUPHFpscqMnan9sfv1/6LexWddES+Tn6a1v5l2ZuK/7WFi62LarjV0oG4/epVu881ZTFbzPo26mu1qd5WwR4hkqRQzzCtOb1K3Wv2vKYxK7vt57fK3d5ddarVs3YUAAAAACgRFaLwN3fuXA0bNkyDBw+WJE2bNk2rVq3SwoULC+3ikyR3d/cCHy9atEgODg4FCn9vv/22OnfurMcffzz/Ws2aNUvnAQAAAABUKhaLRT8e/kGzIz9SnsWsQJcgNfBqqH51B6h9YAd5OHhe9Zjhng10IH7fNWdaf2atTiaf0CMt/vc1Tuegrvp876dKz0mXk63TNY9d3qXlpOmXIz8qwCVQYZ7h8nPyl8FguGK/7ee3qYV/q2K1BQAAAICKoNwX/rKzs7Vv3z6NHTs2/5rRaFT79u21c+fOYo2xcOFC9evXT05Of3+hazabtWrVKt17770aPXq09u/fr6CgII0dO1Y9e/KdsAAAAAAuLTUnVW9ufU3rzqzR4JChGhF2h6rZu1/3uGGeDbT0xBJl5GbI0cbxqvpaLBZ9c+ALNfNtrobejfKvdw7qqtmRs7Tp3IZKvevvr+OLNXfvnPyP3eyrKcwjTDfW6aeOgZ2LLOwlZiboaOIRDQ4eWpZRAQAAAKBUlfvCX0JCgvLy8god6enl5aXo6Ogr9o+MjNShQ4f08ssv51+Li4tTenq6Zs+erYcffliPPvqo1q5dqwkTJujLL79U69ati53PaDTIaOS7Q4HiMpmMBf4LoOphHQCqtoq+BhxOOKRp659VUlaiXuz0sjoGdS6xsRv7NZJFFkUnH1YT36ZX1XfT2Q2KTjqqt7u/Jxub/31ug6oFKswrTOvOrlavur1KLGt5s/7sGrUJaKMpbZ5SVNwBHYyP0s4LO/XipmcV6hmm0RFj1MKvpQwGg7LzsrX57Eb9fvRXGQxSq4BWBT5nKH0VfR0AcH1YAwCwDgClq9wX/q7XggULFBISooiIiPxrZrNZktSjRw+NGjVKkhQeHq4dO3Zo3rx5V1X48/R05lgY4Bq4uV3dd7EDqHxYB4CqrSKuARtPbdTklZNVx6OOPh74kYLcgkp0/ObujeXi4KyTmUfV1aNDsfuZLWZ9vfJztQhsri4h7Qt9fdIvrI8+2vaR7F0MlfK4z/iMeO1P2KtnOj2jutVrqG71Guqrv4uc289u1/tb39eTax9Vy4CWCnIL0vJjy5WSlaJQ71C90H2aggNrW/cBqrCKuA4AKDmsAQBYB4DSUe4Lfx4eHjKZTIqLiytwPS4uTt7e3pftm56erkWLFmnixImFxrSxsVG9egVf4F6vXj1t3779qvLFx6ex4w+4CiaTUW5ujkpOzlBentnacQBYAesAULVV1DXgRNJxPbr0MTX2aaoXOr4suzw7JSSklfg89dyCtfXkDvWvObjYff44+rv2nz+g93t+pMTE9EL3W3i2U0b22/pj31L1qFX5jvv8/cgSmfMsauLestDPSV3HML3Z6T1tPLtec/d8qlMJZ9Sv9gD1rNVLtarVlqRS+XnE5VXUdQBAyWANAMA6AFwbDw/nYrUr94U/Ozs7NWzYUBs3bsx//57ZbNbGjRt1xx13XLbvkiVLlJ2drQEDBhQas3Hjxjp27FiB68ePH1dgYOBV5TObLTKbLVfVB4CUl2dWbi5/sANVGesAULVVpDUgOStJT66ZIm9HXz3Z+lkZLTallj3Mo4H+PL5YOTl5xTpZJC0nTbN3f6zuNXoqxL1Bkbl8HPwU7B6qlSdWqEtg99KIbVWrTq5UY++mcja5XfLnpbVfe7X2a1/gWkX59VeZVaR1AEDJYw0AwDoAlI4KcYju3Xffre+//14//fSTjh49queff14ZGRm65ZZbJEmPP/643nzzzUL9FixYoJ49e8rDw6PQvdGjR2vx4sX6/vvvdeLECX399ddauXKlRowYUerPAwAAAKBiyDXn6sVNzystO1UvdpguZ9vifYfltQr3bKiEzARdyLhQrPbfHfhK6bnpuqfx2Mu261Kjm7ac26QjCYd1If2C0nLSZLZU/H9kSclO1u4LO9UpsOTetQgAAAAAFVm53/EnSX379lV8fLxmzpyp2NhYhYeHa86cOflHfZ47d05GY8EaZnR0tLZv367PPvusyDFvuOEGPf/88/rkk0/00ksvqU6dOpo5c6ZatmxZ6s8DAAAAoPyzWCz6YOe72hO7S693eVvVXQJKfc4wr3BJUlTcfvk5+V227bnUs1p4+AeNCLtDvk6+l23bJaibPt3zscYtuzf/mtFgUKfArnqk5eMV9t1/G86ul9liVgcKfwAAAAAgSTJYLBbOqbwOsbEp1o4AVCg2NkZ5eDgrISGNrfxAFcU6AFRtFWkN+P3or3p3x5ua1OIx9a17U5nNe8eiYeoY1Fn3NBqjmLRzOpt6Rqk5KWrl30bV7N3z203bMFVR8fs198Zv5GDjcMVxz6ef18X0WKXlpCktJ1WxGRf09f4v5Ovkpxc6vKIAl6t77UF5MHXdE0rJTtE73T+wdhRchYq0DgAoeawBAFgHgGvj4+NarHYVYscfAAAAAJSlmLRzmrX7ffWr279Mi36SFO7VUL8c+VE/HvpB//4uTRujSe0DOqlPnX6yMdpo3Zk1erLNM8Uq+kmSn5NfoV2Erf3b6rkNT2vC8rF6uu1zauHXqgSfpHSl5aRp2/mtuvcKx5wCAAAAQFVC4Q8AAAAA/sViseitba+rmn01jYl4oMznHx56m6q7BKi6c4ACnAMU4BIkW6ONlp9cqsXHFunJtY/JICncq4G61eh5XXPVrlZH7/eYpVc2v6Cn1j6msU3G65bgoSXzIKVs87mNyjXnqiPHfAIAAABAPgp/AAAAAPAvfx5frJ0XduiVTq9b5d139T2CVd8juND1wSHDdEvwUB2I36/Vp1aqT51+MhgM1z2fq52bXu74uuZEztJHu95XTl6Ohofddt3jlra1p1crxCNUfs7+1o4CAAAAAOUGhT8AAAAA+H8XMy5q1u73dUOt3mrl38bacQoxGAxq4NVQDbwalui4RoNRY5o8IDuTvebs+Vg2RhsNDhlWonOUpMzcTG2N2aw7Gtxl7SgAAAAAUK5Q+AMAAAAA/X3E58wdb8nWaKtxTSdYO45V3NXwHuVZcjVr9wcyGUwaFDzY2pGKtDVms7LysjjmEwAAAAD+g8IfAAAAAEhadWqFNp5dr2fbvSBXOzdrx7EKg8GgexqNUZ45Tx/smimT0aT+9QZZO1YBZotZCw7NVz33+gpyrWHtOAAAAABQrlD4AwAAAFDlmS1mfRz5gToGdlanoC7WjmNVBoNB90WMU57FrJk73lZ99xCFezWwdqx8vx39Wfvj9unNru9aOwoAAAAAlDtGawcAAAAAAGvbezFScRlxGhp6q7WjlAsGg0FjmzygINcamhf1jbXj5Duffl6f7vlEN9UdoAifptaOAwAAAADlDoU/AAAAAFXemtOr5e3orTDPcGtHKTeMBqOGh96mDWfX6UTycWvH+fsdjNvflJOtk0ZHjLV2HAAAAAAolyj8AQAAAKjSzBaz1p1ZrU5BXWU08CXSv/WoeYO8Hb01P+pba0fRylPLtSVmsx5qPlkuti7WjgMAAAAA5RJf1QIAAACo0g7E7VdcRlyVf7dfUWxNthoSMlwrTi7V+fTzVsuRlJWoD3bNVOegrmoX0MFqOQAAAACgvKPwBwAAAKBKW3N6lTwdPNXQq5G1o5RLfercJCdbZy089L3VMny8+0NZLGZNaPaQ1TIAAAAAQEVA4Q8AAABAlWW2mLX29Cp1DOrCMZ+X4GTrpIH1b9Ef0b8pKSuxzOdPy0nTylPLNCLsDnk4eJb5/AAAAABQkfCVLQAAAIAq62B8lGIzYtUlqKu1o5Rrg+rfIoss+uXIT2U+97aYLco153EUKwAAAAAUg421AwAAAACAtaw9vUru9u5q5B1h7SjlWjV7d/Wt018/H1mo9gEdFRV/QHsv7taei5GKz4yTo42THEwOcrR1UoBLoJ5sPVVOtk4lMvfGc+tVp1od+TtXL5HxAAAAAKAyo/AHAAAAoEqyWCxae2a1OgZ25pjPYhgSMky/Hf1J45bdK6PBoPruIeoY2EUBLgHKyM1QZm6mMnIztCj6V83dO0fjm0287jnzzHnacm6Tbqo3sASeAAAAAAAqPwp/AAAAAKqkwwmHFJMWwxGSxeTn7K9XOs2Q2WJWA69Gl9zR5+3ordmRH6lnrV4K9Qy7rjn3x+1VSnaK2lXvcF3jAAAAAEBVwbe1AgAAAKiS1p5ZJTc7NzXxaWbtKBVGc7+Waunf+rLHeN4SPFR13evr7e2vK8+cd13zbTy7Xu727tddQAQAAACAqoLCHwAAAIAqx2KxaM3p1eoQ2Ekmo8nacSoVk9GkSS0e07GkaC08/P11jbXh7Hq1DWjPUawAAAAAUEx89QQAAACgSrmQfkFvbHtVZ1PPqHNQV2vHqZRCPcM0sP5gfblvrmLSzl3TGKdSTupM6mm1D+hYwukAAAAAoPKi8AcAAACgSkjOStLHuz/QqMW3afO5TZrQ7CG18Gtl7ViV1qiGo+Vq56qZO96SxWK56v4bz66XrdFWzXxblEI6AAAAAKicKPwBAAAAqFA2nl2vYb8NUnpOerH77Di/TXcuHqFF0b/p1rDb9WWf7zSw/i0yGAylmLRqc7J10sTmj2hrzBbN3TdHZov5qvpvPrdRLfxaysHGoZQSAgAAAEDlQ+EPAAAAQIWy+NgiJWQmaNO5DcXu813UNwp0CdIXfb7VnQ3vlpOtUykmxD/aBXTQPY3u07wDX+u5DU8rNSe1WP2Ss5K092Kk2lRvX8oJAQAAAKByofAHAAAAoMJIy0nT1pjNMkhafWplsfrEpsdq94Ud6l9vkDwcPEs3IAoZEX6HXuz4mvbE7taDy+/XyeQTV+yzJWaTzBaL2gZQ+AMAAACAq0HhDwAAAECFsfHsOuWac3Vz8FBtjdmstJy0K/ZZcXKpbIy26hTUpQwSoihtqrfV+z0+lslg0oTlY7Xg0HydTD5xyXf/bTy7QSEeofJ29C7jpAAAAABQsdlYOwAAAAAAFNfq06vUwKuhbgkeoh8P/6BNZ9erR61el2xvsVi07MRf6hDYSc62zmWYFP8V5FpDM7t/pJk739Knez7Wx7s/lI+jj5r7tVSoZ7gkyWzJU645V1tjNmtY6AgrJwYAAACAiofCHwAAAIAKITU7Rdtitui+iPvl5+yvcK8GWnV65WULf9FJR3Q8+ZhGR4wtw6S4FCdbJz3R+hk91Hyy9sRGavv5rdp+fqv+PL5YRoNBJoONTEaTHEwO6lKjm7XjAgAAAECFQ+EPAAAAQIWw8ex65Zpz1SmwqySpS1A3zdnzsVKzU+Ri51pkn6Un/lQ1e3e19GtVhklxJY42jmpdvY1aV28j6e+dmQaDwcqpAAAAAKDi4x1/AAAAAMoNs8WsRdG/KSbtXKF7q0+vVCPvxvJx8pEkdQ7qplxzrjaeXX/JsVacXKauNbrLxsj3PJZnFP0AAAAAoGRQ+AMAAABQLiRmJuiJNZP1zvY39MSaR5WanZJ/LyU7WdvPb1XnoK7513ycfNTQq5FWn15Z5Hg7zm9TQmaCbqjVu7SjAwAAAABQLlD4AwAAAGB1B+Oj9MCy+xSdFK3JLacoKStR0ze/KLPFLEnacHa98sx56hjYpUC/LjW6afv5rUrJTi405rKTfynItYZCPELL5BkAAAAAALA2Cn8AAAAArGpR9G96eOV4eTp66cOes3Vjnb56qu2z2nZ+i+bunS1JWn1qhRp5R+Qf8/mPTkFdlWfO04b/HPeZnpOudafX6IZavTlGEgAAAABQZVD4AwAAAGA1G8+u1zvb31Dv2n30Vtf35OvkK0lq5d9G9za+X/OivtWvR37SjvPb1KVGt0L9vR291diniVafWlHg+oaza5WVl6XuNXuWyXMAAAAAAFAe8IZ7AAAAAFZhtpj1+d45aurbXA+3eLTQ/SEhw3U06Yje2/mODFKhYz7/0Tmoqz7a9Z5+PPyDzqWe05nUUzoYH6XG3hHyd65eyk8BAAAAAED5wY4/AAAAAFax7swaRSdF686Gdxd532AwaFKLxxTmGa6W/q3l5ehVZLtOQV1kMtpoduRH2n5+q0wGk3rW6q1HWj5emvEBAAAAACh32PEHAAAAoFhWnlyu1JwU3VR34HW/N89sMevLfXPVwq+lGntHXLKdvcle73b/ULnm3Eu28XTw0g/9f5GDjYOMBr63EQAAAABQdVH4AwAAAFAsX+3/XKdSTupA3H5NavGYbE221zzWqpMrdSL5uCa3nHLFtkaDUXYmu8u2cbJ1uuYsAAAAAABUFnw7LAAAAIArSs1O0amUk+oU1EUrTy3XE2snKzkr6ZrG+vvdfp+qTfW2CvdqUMJJAQAAAACouij8AQAAAFB04hHdv/QepeWkFXk/Kv6AJOmeRvfp9S5v63jycT24YpxOp5y66rmWHFmi0ymndGeDe64rMwAAAAAAKIjCHwAAAACtP7tORxOPKjJ2V5H3D8Tvl6udqwJdgtTYO0Lvdf9IJoNJE1eM09HEw8WeJ8+cp0+2f6L2gR0V4hlaQukBAAAAAIBE4Q8AAACApL0XIyVJuy7sLPL+gbh9CvMMl8FgkCQFuATq3e4fqLpzgB5bPanYxb8/on/X6eTTGtWI3X4AAAAAAJQ0Cn8AAABAFZdnztOBuP2yMZq0O3ZHofsWi0VR8QcU7tWwwHVXOze92vkN+TtX1+OrH7li8S868Yg+2PmeBoQOUH2P4BJ9BgAAAAAAQOEPAAAAqPKOJh5RRm6GetXqo+jEo0rJTi5w/0zqaaVkpyjcs0Ghvq52bnqt85vydfLT46sfUXTikSLnSMlO1vMbnlEN1xp6vMPjpfIcAAAAAABUdRT+AAAAgCpuz8XdsjXaamjorbJI2v2f9/xFxe+XJIV5hhfZ39XOTa93eUs+Tr56bM0j2nBmnSwWS/59s8Ws6ZtfVGpOqqZ1fFkONg6l9SgAAAAAAFRpFP4AAACAKm7vxT0K8wxXkGsN+Tv7F3rP3/64/arpVksudq6XHMPVzk0zurytUI9QPbfhaU1Z84iOJUVLkr7a/7m2xWzRE62nKsAloFSfBQAAAACAqszG2gEAAAAAWI/FYtHei5HqU/cmSVITn2ba/Z/C34G4fUUe8/lfrnZuernj69ocs0mzdr2v+5feo/YBnbTuzBrd3eheta7eplSeAQAAAAAA/I0dfwAAAEAVdib1tBKzEtXIK0KS1NS3mY4nH1NiZoIkKTM3U9FJRxRWjMKfJBkMBrWt3k6ze32u+yLGaceFbeoY2Fm3ht1eas8AAAAAAAD+xo4/AAAAoArbe3GPDJIaeP1d2Gvi01zS3+/561Kjmw4nHJTZYlG4V9Hv97sUW5OthoQM1011B8rOZCejge85BAAAAACgtPHVNwAAAFCF7b0Yqbru9fLf3+fj5KNAlyDtjv37uM/9cfvkYOOg2m51r2l8BxsHin4AAAAAAJQRvgIHAAAAqrC9F/eooXdEgWtNfZtp1/+/5y8q/oBCPMJkMpqsEQ8AAAAAAFwFCn8AAABAFZWQGa8zqafVyKtxgetNfJrpVMpJxWXEKSp+f/4xoAAAAAAAoHyj8AcAAABUUXsv7pEkNfrPjr8mvk0lSctO/KmLGRcV7tmwrKMBAAAAAIBrQOEPAAAAqKL2Xtwjf2d/+Tj5FLju6eClmm61tPDw95KkMK9wa8QDAAAAAABXicIfAAAAUEXtvRipht6Ni7zXxKeZEjIT5O/sL08HrzJOBgAAAAAArgWFPwAAAKAKSs9J15HEQ2rkFVHk/aa+zSRJYZ683w8AAAAAgIqCwh8AAABQBUXF75fZYlGjS+z4i/BuIqPBoAZevN8PAAAAAICKwsbaAQAAAACUvb0X98jVzlU13WoVed/dwUNvdX1f9T2CyzgZAAAAAAC4VhT+AAAAgCron/f7GQ2XPgSkoXejMkwEAAAAAACuF0d9AgAAAFVMrjlX++P2qZFX0cd8AgAAAACAiqnUd/wlJSUpMjJSSUlJqlatmiIiIlStWrXSnhYAAADAJRxNPKKsvCw18o6wdhQAAAAAAFCCSq3wZ7FYNGPGDH399dfKzs7Ov25nZ6eRI0fqscceK62pAQAAAFzGnou7ZWu0VYhHqLWjAAAAAACAElRqhb9Zs2bpiy++0L333qs+ffrI29tbFy9e1OLFizVnzhy5ublp7NixpTU9AAAAgEvYe3GPwr0ayNZka+0oAAAAAACgBJVa4e+HH37QuHHjNGHChPxr3t7eCgsLk62trebPn0/hDwAAAChjFotFey/uUd+6N1k7CgAAAAAAKGHG0ho4NjZWzZs3L/Jes2bNFBsbW1pTAwAAALiE06mnlJSVqMa83w8AAAAAgEqn1Ap/gYGBWrVqVZH3Vq9ercDAwNKaGgAAAMAl7L24R0aDQQ28Glk7CgAAAAAAKGGldtTnqFGj9Pzzzys+Pl433nijvLy8FBcXpyVLlmjRokV6/vnnS2tqAAAAAJew92Kk6lSrK2dbZ2tHAQAAAAAAJazUCn+33nqrcnJy9OGHH+r333+XwWCQxWKRp6ennn76aQ0fPry0pgYAAABwCXsuRqq1f1trxwAAAAAAAKWg1Ap/kjRy5Ejdfvvtio6OVlJSktzd3VWnTh0ZjaV2wigAAACAS4jLiNO51LNq5N3Y2lEAAAAAAEApKNXCnyQZjUbVr1+/tKcBAAAAcAX74vZIkhp5R1g5CQAAAAAAKA0lWvibO3eu+vfvL29vb82dO/eybQ0Gg0aNGlXssb/55ht9+umnio2NVVhYmKZOnaqIiKL/wWLkyJHasmVLoetdunTRJ598Uuj6s88+q/nz5+vJJ5+8qkwAAABARbInNlLVnavL29Hb2lEAAAAAAEApKNHC32uvvaYWLVrI29tbr7322mXbXk3h748//tD06dM1bdo0NWnSRF988YVGjx6tJUuWyMvLq1D79957Tzk5OfkfJyYmauDAgbrxxhsLtV26dKl2794tX1/fYmUBAAAAKqq9FyPVkGM+AQAAAACotEq08BcVFVXk/1+vuXPnatiwYRo8eLAkadq0aVq1apUWLlyoMWPGFGrv7u5e4ONFixbJwcGhUOHv/PnzevHFF/Xpp59q7NixJZYXAAAAKG/Sc9IVnXREN9UbaO0oAAAAAACglJTaO/62bt2qBg0ayNnZudC99PR07du3T61atbriONnZ2dq3b1+BwpzRaFT79u21c+fOYmVZuHCh+vXrJycnp/xrZrNZjz32mEaPHq3g4OBijVMUo9Ego9Fwzf2BqsZkMhb4L4Cqh3UAsI6DsftlkUXN/JvKxsZ6v/9YAwCwDgBVG2sAANYBoHSVWuHvzjvv1Pz584t8D190dLTuvPNOHThw4IrjJCQkKC8vr9CRnl5eXoqOjr5i/8jISB06dEgvv/xygeuzZ8+WjY2N7rzzziuOcTmens4yGCj8AVfLzc3R2hEAWBnrAFC2oo8elKezhyJqhpeLv7+yBgBgHQCqNtYAAKwDQOkotcKfxWK55L2MjAw5ODiU1tQFLFiwQCEhIQUKkHv37tWXX36pH3/88br/0SM+Po0df8BVMJmMcnNzVHJyhvLyzNaOA8AKWAeAsmOxWBSXcVFHk45q6eHlCnNvqMTEdKtmYg0AwDoAVG2sAQBYB4Br4+FR+ITNopRo4W/Xrl0Fjt/87bfftH379gJtsrKytHz5ctWtW7dYY3p4eMhkMikuLq7A9bi4OHl7e1+2b3p6uhYtWqSJEycWuL5t2zbFxcWpW7du+dfy8vL02muv6csvv9SKFSuKlU2SzGaLzOZLFzkBFC0vz6zcXP5gB6oy1gGg9MSkndPMHW/pYHyUkrOTJUmONo4aHnJ7ufl9xxoAgHUAqNpYAwCwDgClo0QLf+vWrdP7778vSTIYDPrqq68KT2hjo3r16um5554r1ph2dnZq2LChNm7cqJ49e0r6+/18Gzdu1B133HHZvkuWLFF2drYGDBhQ4PrAgQPVvn37AtdGjx6tgQMH6pZbbilWLgAAAKA8Op9+Xo+tfliSdHPwENWtVk913evJz8m/XBzxCQAAAAAASk+JFv4mTJigCRMmSJLCwsL0/fffF/mOv6t19913a8qUKWrUqJEiIiL0xRdfKCMjI79I9/jjj8vPz0+TJ08u0G/BggXq2bOnPDw8Clz38PAodM3W1lbe3t7F3okIAAAAlDex6bH5Rb83us6Un5OfdQMBAAAAAIAyVWrv+IuKiiqxsfr27av4+HjNnDlTsbGxCg8P15w5c/KP+jx37pyMRmOBPtHR0dq+fbs+++yzEssBAAAAlFfxmXF6bPXDys3L0Vvd3qPoBwAAAABAFWSwWCyl+oK6rKwsnTp1SllZWYXuNWzYsDSnLhOxsSnWjgBUKDY2Rnl4OCshIY0zvIEqinUAKHkJmfF6bPUkpeak6M0uMxXoGmTtSJfEGgCAdQCo2lgDALAOANfGx8e1WO1Kbcdfdna2nn/+ef3666/Ky8srss2BAwdKa3oAAACgStgTu1svb54ms8WsN7uW76IfAAAAAAAoXcYrN7k2H3zwgdavX69XX31VFotFU6dO1fTp09WuXTsFBgZq1qxZpTU1AAAAUOmZLWZ9d+BrPbr6IQW6BOnDnnNUw7WmtWMBAAAAAAArKrXC35IlSzRhwgT16dNHkhQREaFBgwbps88+U4sWLbRixYrSmhoAAACo1JKyEvXMuin6bO9sDQ+7Xa93flvejt7WjgUAAAAAAKys1Ap/MTExqlOnjkwmk+zt7ZWcnJx/b8CAAVqyZElpTQ0AAABUai9sfFYHEw7qlU6v655G98lkNFk7EgAAAAAAKAdKrfDn4+OTX+wLCgrS5s2b8+8dP368tKYFAAAAKrUzKacVGbtbE5o+pFb+bawdBwAAAAAAlCM2pTVw69attW3bNnXv3l1Dhw7V66+/rujoaNna2mrp0qXq379/aU0NAAAAVForTi2To42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" ] @@ -1519,84 +1521,35 @@ "text": [ "\n", "Price Statistics:\n", - " BTC-USDT: Mean=$104195.83, Std=$987.52\n", - " ETH-USDT: Mean=$2588.48, Std=$25.15\n", - " Price Ratio: Mean=40.25, Std=0.14\n", - " Correlation: 0.9376\n", + " COIN: Mean=$276.96, Std=$15.84\n", + " MSTR: Mean=$370.87, Std=$1.52\n", + " Price Ratio: Mean=0.75, Std=0.04\n", + " Correlation: -0.0929\n", "Running SlidingFit analysis...\n", "\n", "=== SLIDING FIT ANALYSIS ===\n", "Processing first 200 iterations for demonstration...\n", - "***BTC-USDT & ETH-USDT*** STARTING....\n", - "********************************************************************************\n", - "Pair BTC-USDT & ETH-USDT (0) IS COINTEGRATED\n", - "********************************************************************************\n", - "BTC-USDT & ETH-USDT: current offset=482 * Training data length=119 < 120 * Not enough training data. Completing the job.\n", - "OPEN_TRADES: 2025-06-05 12:18:00 open_scaled_disequilibrium=np.float64(2.376882701032403)\n", + "***COIN & MSTR*** STARTING....\n", + "OPEN_TRADES: 2025-06-18 16:00:00 open_scaled_disequilibrium=np.float64(2.8605299147981675)\n", "OPEN TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 12:18:00 BUY BTC-USDT 105186.86 -557.925308 2.376883 BTC-USDT & ETH-USDT OPEN\n", - "1 2025-06-05 12:18:00 SELL ETH-USDT 2625.49 -557.925308 2.376883 BTC-USDT & ETH-USDT OPEN\n", + " time action symbol price disequilibrium scaled_disequilibrium pair status\n", + "0 2025-06-18 16:00:00 SELL COIN 278.5026 26.172385 2.86053 COIN & MSTR OPEN\n", + "1 2025-06-18 16:00:00 BUY MSTR 372.2725 26.172385 2.86053 COIN & MSTR OPEN\n", "CLOSE TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 13:01:00 SELL BTC-USDT 105722.75 -197.135103 0.294001 BTC-USDT & ETH-USDT CLOSE\n", - "1 2025-06-05 13:01:00 BUY ETH-USDT 2632.03 -197.135103 0.294001 BTC-USDT & ETH-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-05 13:15:00 open_scaled_disequilibrium=np.float64(2.53447162924093)\n", + " time action symbol price disequilibrium scaled_disequilibrium pair status\n", + "0 2025-06-18 16:59:00 BUY COIN 285.70 -153123.39816 0.369634 COIN & MSTR CLOSE\n", + "1 2025-06-18 16:59:00 SELL MSTR 371.35 -153123.39816 0.369634 COIN & MSTR CLOSE\n", + "OPEN_TRADES: 2025-06-18 17:07:00 open_scaled_disequilibrium=np.float64(2.1726379189346643)\n", "OPEN TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 13:15:00 SELL BTC-USDT 105799.92 199.893895 2.534472 BTC-USDT & ETH-USDT OPEN\n", - "1 2025-06-05 13:15:00 BUY ETH-USDT 2623.81 199.893895 2.534472 BTC-USDT & ETH-USDT OPEN\n", + " time action symbol price disequilibrium scaled_disequilibrium pair status\n", + "0 2025-06-18 17:07:00 BUY COIN 288.749 -885.043609 2.172638 COIN & MSTR OPEN\n", + "1 2025-06-18 17:07:00 SELL MSTR 370.660 -885.043609 2.172638 COIN & MSTR OPEN\n", "CLOSE TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 13:18:00 BUY BTC-USDT 105730.43 -65.916792 0.337621 BTC-USDT & ETH-USDT CLOSE\n", - "1 2025-06-05 13:18:00 SELL ETH-USDT 2630.36 -65.916792 0.337621 BTC-USDT & ETH-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-05 13:23:00 open_scaled_disequilibrium=np.float64(2.06677688823266)\n", - "OPEN TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 13:23:00 SELL BTC-USDT 105648.27 210.776251 2.066777 BTC-USDT & ETH-USDT OPEN\n", - "1 2025-06-05 13:23:00 BUY ETH-USDT 2622.33 210.776251 2.066777 BTC-USDT & ETH-USDT OPEN\n", - "CLOSE TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 13:28:00 BUY BTC-USDT 105683.14 -18.155537 0.393133 BTC-USDT & ETH-USDT CLOSE\n", - "1 2025-06-05 13:28:00 SELL ETH-USDT 2629.11 -18.155537 0.393133 BTC-USDT & ETH-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-05 13:39:00 open_scaled_disequilibrium=np.float64(2.2518857313872376)\n", - "OPEN TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 13:39:00 SELL BTC-USDT 105369.73 259.319845 2.251886 BTC-USDT & ETH-USDT OPEN\n", - "1 2025-06-05 13:39:00 BUY ETH-USDT 2614.08 259.319845 2.251886 BTC-USDT & ETH-USDT OPEN\n", - "CLOSE TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 14:07:00 BUY BTC-USDT 104245.93 60.888884 0.135874 BTC-USDT & ETH-USDT CLOSE\n", - "1 2025-06-05 14:07:00 SELL ETH-USDT 2591.70 60.888884 0.135874 BTC-USDT & ETH-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-05 14:18:00 open_scaled_disequilibrium=np.float64(2.4390145835049717)\n", - "OPEN TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 14:18:00 SELL BTC-USDT 104049.07 654.069789 2.439015 BTC-USDT & ETH-USDT OPEN\n", - "1 2025-06-05 14:18:00 BUY ETH-USDT 2572.31 654.069789 2.439015 BTC-USDT & ETH-USDT OPEN\n", - "CLOSE TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 14:43:00 BUY BTC-USDT 104575.93 61.575101 0.331654 BTC-USDT & ETH-USDT CLOSE\n", - "1 2025-06-05 14:43:00 SELL ETH-USDT 2594.25 61.575101 0.331654 BTC-USDT & ETH-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-05 16:16:00 open_scaled_disequilibrium=np.float64(2.4168771330408436)\n", - "OPEN TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 16:16:00 SELL BTC-USDT 104269.27 325.216514 2.416877 BTC-USDT & ETH-USDT OPEN\n", - "1 2025-06-05 16:16:00 BUY ETH-USDT 2574.77 325.216514 2.416877 BTC-USDT & ETH-USDT OPEN\n", - "CLOSE TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 16:42:00 BUY BTC-USDT 103906.57 95.109566 0.446037 BTC-USDT & ETH-USDT CLOSE\n", - "1 2025-06-05 16:42:00 SELL ETH-USDT 2569.53 95.109566 0.446037 BTC-USDT & ETH-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-05 17:10:00 open_scaled_disequilibrium=np.float64(2.0278116311943433)\n", - "OPEN TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 17:10:00 BUY BTC-USDT 103431.83 -278.314139 2.027812 BTC-USDT & ETH-USDT OPEN\n", - "1 2025-06-05 17:10:00 SELL ETH-USDT 2570.39 -278.314139 2.027812 BTC-USDT & ETH-USDT OPEN\n", - "CLOSE TRADES:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 19:39:00 SELL BTC-USDT 102336.91 60.088116 0.438047 BTC-USDT & ETH-USDT CLOSE\n", - "1 2025-06-05 19:39:00 BUY ETH-USDT 2547.75 60.088116 0.438047 BTC-USDT & ETH-USDT CLOSE\n", - "***BTC-USDT & ETH-USDT*** FINISHED ... 28\n", - "Generated 28 trading signals\n", + " time action symbol price disequilibrium scaled_disequilibrium pair status\n", + "0 2025-06-18 17:45:00 SELL COIN 288.3 -1.436136 0.950544 COIN & MSTR CLOSE\n", + "1 2025-06-18 17:45:00 BUY MSTR 369.6 -1.436136 0.950544 COIN & MSTR CLOSE\n", + "***COIN & MSTR*** FINISHED ... 8\n", + "Generated 8 trading signals\n", "\n", "Strategy execution completed!\n", "\n", @@ -1625,42 +1578,22 @@ "text": [ "=== SLIDING FIT INTERACTIVE VISUALIZATION ===\n", "Note: Sliding strategy visualization with interactive plotly charts\n", - "Using consistent timeline with 601 timestamps\n", - "Timeline range: 2025-06-05 10:00:00 to 2025-06-05 20:00:00\n", + "Using consistent timeline with 361 timestamps\n", + "Timeline range: 2025-06-18 13:30:00 to 2025-06-18 19:30:00\n", "\n", "Symbol_A trades:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "0 2025-06-05 12:18:00 BUY BTC-USDT 105186.86 -557.925308 2.376883 BTC-USDT & ETH-USDT OPEN\n", - "2 2025-06-05 13:01:00 SELL BTC-USDT 105722.75 -197.135103 0.294001 BTC-USDT & ETH-USDT CLOSE\n", - "4 2025-06-05 13:15:00 SELL BTC-USDT 105799.92 199.893895 2.534472 BTC-USDT & ETH-USDT OPEN\n", - "6 2025-06-05 13:18:00 BUY BTC-USDT 105730.43 -65.916792 0.337621 BTC-USDT & ETH-USDT CLOSE\n", - "8 2025-06-05 13:23:00 SELL BTC-USDT 105648.27 210.776251 2.066777 BTC-USDT & ETH-USDT OPEN\n", - "10 2025-06-05 13:28:00 BUY BTC-USDT 105683.14 -18.155537 0.393133 BTC-USDT & ETH-USDT CLOSE\n", - "12 2025-06-05 13:39:00 SELL BTC-USDT 105369.73 259.319845 2.251886 BTC-USDT & ETH-USDT OPEN\n", - "14 2025-06-05 14:07:00 BUY BTC-USDT 104245.93 60.888884 0.135874 BTC-USDT & ETH-USDT CLOSE\n", - "16 2025-06-05 14:18:00 SELL BTC-USDT 104049.07 654.069789 2.439015 BTC-USDT & ETH-USDT OPEN\n", - "18 2025-06-05 14:43:00 BUY BTC-USDT 104575.93 61.575101 0.331654 BTC-USDT & ETH-USDT CLOSE\n", - "20 2025-06-05 16:16:00 SELL BTC-USDT 104269.27 325.216514 2.416877 BTC-USDT & ETH-USDT OPEN\n", - "22 2025-06-05 16:42:00 BUY BTC-USDT 103906.57 95.109566 0.446037 BTC-USDT & ETH-USDT CLOSE\n", - "24 2025-06-05 17:10:00 BUY BTC-USDT 103431.83 -278.314139 2.027812 BTC-USDT & ETH-USDT OPEN\n", - "26 2025-06-05 19:39:00 SELL BTC-USDT 102336.91 60.088116 0.438047 BTC-USDT & ETH-USDT CLOSE\n", + " time action symbol price disequilibrium scaled_disequilibrium pair status\n", + "0 2025-06-18 16:00:00 SELL COIN 278.5026 26.172385 2.860530 COIN & MSTR OPEN\n", + "2 2025-06-18 16:59:00 BUY COIN 285.7000 -153123.398160 0.369634 COIN & MSTR CLOSE\n", + "4 2025-06-18 17:07:00 BUY COIN 288.7490 -885.043609 2.172638 COIN & MSTR OPEN\n", + "6 2025-06-18 17:45:00 SELL COIN 288.3000 -1.436136 0.950544 COIN & MSTR CLOSE\n", "\n", "Symbol_B trades:\n", - " time action symbol price disequilibrium scaled_disequilibrium pair status\n", - "1 2025-06-05 12:18:00 SELL ETH-USDT 2625.49 -557.925308 2.376883 BTC-USDT & ETH-USDT OPEN\n", - "3 2025-06-05 13:01:00 BUY ETH-USDT 2632.03 -197.135103 0.294001 BTC-USDT & ETH-USDT CLOSE\n", - "5 2025-06-05 13:15:00 BUY ETH-USDT 2623.81 199.893895 2.534472 BTC-USDT & ETH-USDT OPEN\n", - "7 2025-06-05 13:18:00 SELL ETH-USDT 2630.36 -65.916792 0.337621 BTC-USDT & ETH-USDT CLOSE\n", - "9 2025-06-05 13:23:00 BUY ETH-USDT 2622.33 210.776251 2.066777 BTC-USDT & ETH-USDT OPEN\n", - "11 2025-06-05 13:28:00 SELL ETH-USDT 2629.11 -18.155537 0.393133 BTC-USDT & ETH-USDT CLOSE\n", - "13 2025-06-05 13:39:00 BUY ETH-USDT 2614.08 259.319845 2.251886 BTC-USDT & ETH-USDT OPEN\n", - "15 2025-06-05 14:07:00 SELL ETH-USDT 2591.70 60.888884 0.135874 BTC-USDT & ETH-USDT CLOSE\n", - "17 2025-06-05 14:18:00 BUY ETH-USDT 2572.31 654.069789 2.439015 BTC-USDT & ETH-USDT OPEN\n", - "19 2025-06-05 14:43:00 SELL ETH-USDT 2594.25 61.575101 0.331654 BTC-USDT & ETH-USDT CLOSE\n", - "21 2025-06-05 16:16:00 BUY ETH-USDT 2574.77 325.216514 2.416877 BTC-USDT & ETH-USDT OPEN\n", - "23 2025-06-05 16:42:00 SELL ETH-USDT 2569.53 95.109566 0.446037 BTC-USDT & ETH-USDT CLOSE\n", - "25 2025-06-05 17:10:00 SELL ETH-USDT 2570.39 -278.314139 2.027812 BTC-USDT & ETH-USDT OPEN\n", - "27 2025-06-05 19:39:00 BUY ETH-USDT 2547.75 60.088116 0.438047 BTC-USDT & ETH-USDT CLOSE\n" + " time action symbol price disequilibrium scaled_disequilibrium pair status\n", + "1 2025-06-18 16:00:00 BUY MSTR 372.2725 26.172385 2.860530 COIN & MSTR OPEN\n", + "3 2025-06-18 16:59:00 SELL MSTR 371.3500 -153123.398160 0.369634 COIN & MSTR CLOSE\n", + "5 2025-06-18 17:07:00 SELL MSTR 370.6600 -885.043609 2.172638 COIN & MSTR OPEN\n", + "7 2025-06-18 17:45:00 BUY MSTR 369.6000 -1.436136 0.950544 COIN & MSTR CLOSE\n" ] }, { @@ -1681,618 +1614,378 @@ "opacity": 0.8, "type": "scatter", "x": [ - "2025-06-05T10:00:00.000000000", - "2025-06-05T10:01:00.000000000", - "2025-06-05T10:02:00.000000000", - "2025-06-05T10:03:00.000000000", - "2025-06-05T10:04:00.000000000", - "2025-06-05T10:05:00.000000000", - "2025-06-05T10:06:00.000000000", - "2025-06-05T10:07:00.000000000", - "2025-06-05T10:08:00.000000000", - "2025-06-05T10:09:00.000000000", - "2025-06-05T10:10:00.000000000", - 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17:06:00 ADA-USDT BUY OPEN 0.6738 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", - "10 2025-06-02 17:14:00 ADA-USDT SELL CLOSE 0.6717 -0.939467 0.939467 -0.939467 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "12 2025-06-02 17:24:00 ADA-USDT BUY OPEN 0.6755 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", - "14 2025-06-02 17:33:00 ADA-USDT SELL CLOSE 0.6722 -1.168442 1.168442 -1.168442 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "16 2025-06-02 18:02:00 ADA-USDT SELL OPEN 0.6741 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", - "18 2025-06-02 18:06:00 ADA-USDT BUY CLOSE 0.6746 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", - "20 2025-06-02 19:35:00 ADA-USDT BUY OPEN 0.6719 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", - "22 2025-06-02 20:09:00 ADA-USDT SELL CLOSE 0.6791 -1.119561 1.119561 -1.119561 ADA-USDT & SOL-USDT CLOSE_STOP_PROFIT\n", - "24 2025-06-02 20:32:00 ADA-USDT BUY OPEN 0.6811 -2.119312 2.119312 -2.119312 ADA-USDT & SOL-USDT OPEN\n", - "26 2025-06-02 21:04:00 ADA-USDT SELL CLOSE 0.6845 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", - "28 2025-06-02 21:33:00 ADA-USDT SELL OPEN 0.6819 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", - "30 2025-06-02 21:40:00 ADA-USDT BUY CLOSE 0.6833 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", - "32 2025-06-02 21:58:00 ADA-USDT BUY OPEN 0.6842 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", - "34 2025-06-02 22:06:00 ADA-USDT SELL CLOSE 0.6887 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", - "36 2025-06-02 22:19:00 ADA-USDT SELL OPEN 0.6905 2.102163 2.102163 2.102163 ADA-USDT & SOL-USDT OPEN\n", - "38 2025-06-02 22:22:00 ADA-USDT BUY CLOSE 0.6882 1.931205 1.931205 1.931205 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "40 2025-06-02 23:55:00 ADA-USDT BUY OPEN 0.6892 -2.243868 2.243868 -2.243868 ADA-USDT & SOL-USDT OPEN\n", - "42 2025-06-02 23:59:00 ADA-USDT SELL CLOSE 0.6896 -2.951683 2.951683 -2.951683 ADA-USDT & SOL-USDT CLOSE_POSITION\n", - "\n", - "Symbol_B trades:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "1 2025-06-02 15:31:00 SOL-USDT SELL OPEN 153.16 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", - "3 2025-06-02 15:41:00 SOL-USDT BUY CLOSE 153.08 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", - "5 2025-06-02 16:44:00 SOL-USDT SELL OPEN 152.47 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", - "7 2025-06-02 17:01:00 SOL-USDT BUY CLOSE 153.21 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", - "9 2025-06-02 17:06:00 SOL-USDT SELL OPEN 152.90 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", - "11 2025-06-02 17:14:00 SOL-USDT BUY CLOSE 152.54 -0.939467 0.939467 -0.939467 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "13 2025-06-02 17:24:00 SOL-USDT SELL OPEN 153.56 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", - "15 2025-06-02 17:33:00 SOL-USDT BUY CLOSE 153.24 -1.168442 1.168442 -1.168442 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "17 2025-06-02 18:02:00 SOL-USDT BUY OPEN 153.59 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", - "19 2025-06-02 18:06:00 SOL-USDT SELL CLOSE 153.79 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", - "21 2025-06-02 19:35:00 SOL-USDT SELL OPEN 151.99 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", - "23 2025-06-02 20:09:00 SOL-USDT BUY CLOSE 153.75 -1.119561 1.119561 -1.119561 ADA-USDT & SOL-USDT CLOSE_STOP_PROFIT\n", - "25 2025-06-02 20:32:00 SOL-USDT SELL OPEN 154.22 -2.119312 2.119312 -2.119312 ADA-USDT & SOL-USDT OPEN\n", - "27 2025-06-02 21:04:00 SOL-USDT BUY CLOSE 154.72 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", - "29 2025-06-02 21:33:00 SOL-USDT BUY OPEN 154.51 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", - "31 2025-06-02 21:40:00 SOL-USDT SELL CLOSE 154.92 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", - "33 2025-06-02 21:58:00 SOL-USDT SELL OPEN 155.29 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", - "35 2025-06-02 22:06:00 SOL-USDT BUY CLOSE 155.83 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", - "37 2025-06-02 22:19:00 SOL-USDT BUY OPEN 156.27 2.102163 2.102163 2.102163 ADA-USDT & SOL-USDT OPEN\n", - "39 2025-06-02 22:22:00 SOL-USDT SELL CLOSE 155.92 1.931205 1.931205 1.931205 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "41 2025-06-02 23:55:00 SOL-USDT SELL OPEN 156.94 -2.243868 2.243868 -2.243868 ADA-USDT & SOL-USDT OPEN\n", - "43 2025-06-02 23:59:00 SOL-USDT BUY CLOSE 156.83 -2.951683 2.951683 -2.951683 ADA-USDT & SOL-USDT CLOSE_POSITION\n" - ] - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "line": { - "color": "green", - "width": 2 - }, - "name": "Absolute Scaled Dis-equilibrium", - "opacity": 0.8, - "type": "scatter", - "x": [ - "NaT", - "NaT", - "NaT", - "NaT", - "NaT", - "NaT", - "NaT", - "NaT", - "NaT", - 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BUY ADA-USDT @ $0.67 at 2025-06-02 15:31:00\n", - " 2. SELL SOL-USDT @ $153.16 at 2025-06-02 15:31:00\n", - " 3. SELL ADA-USDT @ $0.67 at 2025-06-02 15:41:00\n", - " 4. BUY SOL-USDT @ $153.08 at 2025-06-02 15:41:00\n", - " 5. BUY ADA-USDT @ $0.67 at 2025-06-02 16:44:00\n", - " 6. SELL SOL-USDT @ $152.47 at 2025-06-02 16:44:00\n", - " ... and 38 more signals\n", - "\n", - "================================================================================\n", - "\n", - "Detailed Trading Signals:\n", - "Time Action Symbol Price Scaled Dis-eq Status \n", - "------------------------------------------------------------------------------------------\n", - "2025-06-02 15:31:00 OPEN ADA-USDT $0.67 2.892 OPEN \n", - "2025-06-02 15:31:00 OPEN SOL-USDT $153.16 2.892 OPEN \n", - "2025-06-02 15:41:00 CLOSE ADA-USDT $0.67 0.015 CLOSE \n", - "2025-06-02 15:41:00 CLOSE SOL-USDT $153.08 0.015 CLOSE \n", - "2025-06-02 16:44:00 OPEN ADA-USDT $0.67 2.365 OPEN \n", - "2025-06-02 16:44:00 OPEN SOL-USDT $152.47 2.365 OPEN \n", - "2025-06-02 17:01:00 CLOSE ADA-USDT $0.67 0.457 CLOSE \n", - "2025-06-02 17:01:00 CLOSE SOL-USDT $153.21 0.457 CLOSE \n", - "2025-06-02 17:06:00 OPEN ADA-USDT $0.67 2.191 OPEN \n", - "2025-06-02 17:06:00 OPEN SOL-USDT $152.90 2.191 OPEN \n", - "... and 34 more trading signals\n", - "\n", - " -------------- Suggested Trades \n", - " symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "time \n", - "2025-06-02 15:31:00 ADA-USDT BUY OPEN 0.6733 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 15:31:00 SOL-USDT SELL OPEN 153.1600 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 15:41:00 ADA-USDT SELL CLOSE 0.6735 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 15:41:00 SOL-USDT BUY CLOSE 153.0800 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 16:44:00 ADA-USDT BUY OPEN 0.6708 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 16:44:00 SOL-USDT SELL OPEN 152.4700 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 17:01:00 ADA-USDT SELL CLOSE 0.6745 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 17:01:00 SOL-USDT BUY CLOSE 153.2100 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 17:06:00 ADA-USDT BUY OPEN 0.6738 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 17:06:00 SOL-USDT SELL OPEN 152.9000 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 17:14:00 ADA-USDT SELL CLOSE 0.6717 -0.939467 0.939467 -0.939467 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "2025-06-02 17:14:00 SOL-USDT BUY CLOSE 152.5400 -0.939467 0.939467 -0.939467 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "2025-06-02 17:24:00 ADA-USDT BUY OPEN 0.6755 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 17:24:00 SOL-USDT SELL OPEN 153.5600 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 17:33:00 ADA-USDT SELL CLOSE 0.6722 -1.168442 1.168442 -1.168442 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "2025-06-02 17:33:00 SOL-USDT BUY CLOSE 153.2400 -1.168442 1.168442 -1.168442 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "2025-06-02 18:02:00 ADA-USDT SELL OPEN 0.6741 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 18:02:00 SOL-USDT BUY OPEN 153.5900 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 18:06:00 ADA-USDT BUY CLOSE 0.6746 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 18:06:00 SOL-USDT SELL CLOSE 153.7900 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 19:35:00 ADA-USDT BUY OPEN 0.6719 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 19:35:00 SOL-USDT SELL OPEN 151.9900 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 20:09:00 ADA-USDT SELL CLOSE 0.6791 -1.119561 1.119561 -1.119561 ADA-USDT & SOL-USDT CLOSE_STOP_PROFIT\n", - "2025-06-02 20:09:00 SOL-USDT BUY CLOSE 153.7500 -1.119561 1.119561 -1.119561 ADA-USDT & SOL-USDT CLOSE_STOP_PROFIT\n", - "2025-06-02 20:32:00 ADA-USDT BUY OPEN 0.6811 -2.119312 2.119312 -2.119312 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 20:32:00 SOL-USDT SELL OPEN 154.2200 -2.119312 2.119312 -2.119312 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 21:04:00 ADA-USDT SELL CLOSE 0.6845 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 21:04:00 SOL-USDT BUY CLOSE 154.7200 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 21:33:00 ADA-USDT SELL OPEN 0.6819 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 21:33:00 SOL-USDT BUY OPEN 154.5100 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 21:40:00 ADA-USDT BUY CLOSE 0.6833 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 21:40:00 SOL-USDT SELL CLOSE 154.9200 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 21:58:00 ADA-USDT BUY OPEN 0.6842 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 21:58:00 SOL-USDT SELL OPEN 155.2900 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 22:06:00 ADA-USDT SELL CLOSE 0.6887 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 22:06:00 SOL-USDT BUY CLOSE 155.8300 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", - "2025-06-02 22:19:00 ADA-USDT SELL OPEN 0.6905 2.102163 2.102163 2.102163 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 22:19:00 SOL-USDT BUY OPEN 156.2700 2.102163 2.102163 2.102163 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 22:22:00 ADA-USDT BUY CLOSE 0.6882 1.931205 1.931205 1.931205 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "2025-06-02 22:22:00 SOL-USDT SELL CLOSE 155.9200 1.931205 1.931205 1.931205 ADA-USDT & SOL-USDT CLOSE_STOP_LOSS\n", - "2025-06-02 23:55:00 ADA-USDT BUY OPEN 0.6892 -2.243868 2.243868 -2.243868 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 23:55:00 SOL-USDT SELL OPEN 156.9400 -2.243868 2.243868 -2.243868 ADA-USDT & SOL-USDT OPEN\n", - "2025-06-02 23:59:00 ADA-USDT SELL CLOSE 0.6896 -2.951683 2.951683 -2.951683 ADA-USDT & SOL-USDT CLOSE_POSITION\n", - "2025-06-02 23:59:00 SOL-USDT BUY CLOSE 156.8300 -2.951683 2.951683 -2.951683 ADA-USDT & SOL-USDT CLOSE_POSITION\n", - "\n", - "====== Returns By Day and Pair ======\n", - "\n", - "--- 20250602-ADA-USDT & SOL-USDT ---\n", - " ADA-USDT & SOL-USDT:\n", - " 15:41:00 ADA-USDT (Trade #1): BUY @ $0.67, SELL @ $0.67, Return: 0.03% | Open Dis-eq: 2.89,\n", - " 17:01:00 ADA-USDT (Trade #3): BUY @ $0.67, SELL @ $0.67, Return: 0.55% | Open Dis-eq: 2.36,\n", - " 17:14:00 ADA-USDT (Trade #5): BUY @ $0.67, SELL @ $0.67, Return: -0.31% | Open Dis-eq: 2.19,\n", - " 17:33:00 ADA-USDT (Trade #7): BUY @ $0.68, SELL @ $0.67, Return: -0.49% | Open Dis-eq: 2.75,\n", - " 18:06:00 ADA-USDT (Trade #9): SELL @ $0.67, BUY @ $0.67, Return: -0.07% | Open Dis-eq: 2.05,\n", - " 20:09:00 ADA-USDT (Trade #11): BUY @ $0.67, SELL @ $0.68, Return: 1.07% | Open Dis-eq: 2.02,\n", - " 21:04:00 ADA-USDT (Trade #13): BUY @ $0.68, SELL @ $0.68, Return: 0.50% | Open Dis-eq: 2.12,\n", - " 21:40:00 ADA-USDT (Trade #15): SELL @ $0.68, BUY @ $0.68, Return: -0.21% | Open Dis-eq: 2.12,\n", - " 22:06:00 ADA-USDT (Trade #17): BUY @ $0.68, SELL @ $0.69, Return: 0.66% | Open Dis-eq: 2.08,\n", - " 22:22:00 ADA-USDT (Trade #19): SELL @ $0.69, BUY @ $0.69, Return: 0.33% | Open Dis-eq: 2.10,\n", - " 23:59:00 ADA-USDT (Trade #21): BUY @ $0.69, SELL @ $0.69, Return: 0.06% | Open Dis-eq: 2.24,\n", - " 15:41:00 SOL-USDT (Trade #1): SELL @ $153.16, BUY @ $153.08, Return: 0.05% | Open Dis-eq: 2.89,\n", - " 17:01:00 SOL-USDT (Trade #3): SELL @ $152.47, BUY @ $153.21, Return: -0.49% | Open Dis-eq: 2.36,\n", - " 17:14:00 SOL-USDT (Trade #5): SELL @ $152.90, BUY @ $152.54, Return: 0.24% | Open Dis-eq: 2.19,\n", - " 17:33:00 SOL-USDT (Trade #7): SELL @ $153.56, BUY @ $153.24, Return: 0.21% | Open Dis-eq: 2.75,\n", - " 18:06:00 SOL-USDT (Trade #9): BUY @ $153.59, SELL @ $153.79, Return: 0.13% | Open Dis-eq: 2.05,\n", - " 20:09:00 SOL-USDT (Trade #11): SELL @ $151.99, BUY @ $153.75, Return: -1.16% | Open Dis-eq: 2.02,\n", - " 21:04:00 SOL-USDT (Trade #13): SELL @ $154.22, BUY @ $154.72, Return: -0.32% | Open Dis-eq: 2.12,\n", - " 21:40:00 SOL-USDT (Trade #15): BUY @ $154.51, SELL @ $154.92, Return: 0.27% | Open Dis-eq: 2.12,\n", - " 22:06:00 SOL-USDT (Trade #17): SELL @ $155.29, BUY @ $155.83, Return: -0.35% | Open Dis-eq: 2.08,\n", - " 22:22:00 SOL-USDT (Trade #19): BUY @ $156.27, SELL @ $155.92, Return: -0.22% | Open Dis-eq: 2.10,\n", - " 23:59:00 SOL-USDT (Trade #21): SELL @ $156.94, BUY @ $156.83, Return: 0.07% | Open Dis-eq: 2.24,\n", - " Pair Total Return: 0.54%\n", - " Day Total Return: 0.54%\n", - "\n", - "====== GRAND TOTALS ACROSS ALL PAIRS ======\n", - "Total Realized PnL: 0.54%\n", - "\n", - "====== NO OUTSTANDING POSITIONS ======\n", - "\n", - "================================================================================\n" + "ename": "KeyError", + "evalue": "'data_directory'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[24]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m 1\u001b[39m setup()\n\u001b[32m 2\u001b[39m load_config_from_file()\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m \u001b[43mprint_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 4\u001b[39m prepare_market_data()\n\u001b[32m 5\u001b[39m print_strategy_specifics()\n", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[16]\u001b[39m\u001b[32m, line 45\u001b[39m, in \u001b[36mprint_config\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m 42\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m Data File: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDATA_FILE\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m 44\u001b[39m \u001b[38;5;66;03m# Verify data file exists\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m45\u001b[39m data_file_path = \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[43mPT_BT_CONFIG\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mdata_directory\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDATA_FILE\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m os.path.exists(data_file_path):\n\u001b[32m 47\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m ✓ Data file found: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdata_file_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n", + "\u001b[31mKeyError\u001b[39m: 'data_directory'" ] } ], diff --git a/research/pt_backtest.py b/research/pt_backtest.py index 5d2908b..ea3b9e2 100644 --- a/research/pt_backtest.py +++ b/research/pt_backtest.py @@ -3,7 +3,7 @@ import glob import importlib import os from datetime import date, datetime -from typing import Any, Dict, List, Optional +from typing import Any, Dict, List, Optional, Tuple import pandas as pd @@ -17,11 +17,13 @@ from pt_trading.results import ( from pt_trading.fit_method import PairsTradingFitMethod from pt_trading.trading_pair import TradingPair +DayT = str +DataFileNameT = str def resolve_datafiles( config: Dict, date_pattern: str, instruments: List[Dict[str, str]] -) -> List[str]: - resolved_files = [] +) -> List[Tuple[DayT, DataFileNameT]]: + resolved_files: List[Tuple[DayT, DataFileNameT]] = [] for inst in instruments: pattern = date_pattern inst_type = inst["instrument_type"] @@ -31,12 +33,17 @@ def resolve_datafiles( if not os.path.isabs(pattern): pattern = os.path.join(data_dir, f"{pattern}.mktdata.ohlcv.db") matched_files = glob.glob(pattern) - resolved_files.extend(matched_files) + for matched_file in matched_files: + import re + match = re.search(r"(\d{8})\.mktdata\.ohlcv\.db$", matched_file) + assert match is not None + day = match.group(1) + resolved_files.append((day, matched_file)) else: # Handle explicit file path if not os.path.isabs(pattern): pattern = os.path.join(data_dir, f"{pattern}.mktdata.ohlcv.db") - resolved_files.append(pattern) + resolved_files.append((date_pattern, pattern)) return sorted(list(set(resolved_files))) # Remove duplicates and sort @@ -61,7 +68,7 @@ def get_instruments(args: argparse.Namespace, config: Dict) -> List[Dict[str, st def run_backtest( config: Dict, - datafile: str, + datafiles: List[str], price_column: str, fit_method: PairsTradingFitMethod, instruments: List[Dict[str, str]], @@ -73,7 +80,7 @@ def run_backtest( pairs_trades = [] pairs = create_pairs( - datafile=datafile, + datafiles=datafiles, fit_method=fit_method, price_column=price_column, config=config, @@ -136,6 +143,7 @@ def main() -> None: print("No data files found to process.") return + days = list(set([day for day, _ in datafiles])) print(f"Found {len(datafiles)} data files to process:") for df in datafiles: print(f" - {df}") @@ -166,8 +174,9 @@ def main() -> None: # Process each data file price_column = config["price_column"] - for datafile in datafiles: - print(f"\n====== Processing {os.path.basename(datafile)} ======") + for day in sorted(days): + md_datafiles = [datafile for md_day, datafile in datafiles if md_day == day] + print(f"\n====== Processing {day} ======") # Process data for this file try: @@ -175,14 +184,14 @@ def main() -> None: bt_results = run_backtest( config=config, - datafile=datafile, + datafiles=md_datafiles, price_column=price_column, fit_method=fit_method, instruments=instruments, ) - # Store results with file name as key - filename = os.path.basename(datafile) + # Store results with day name as key + filename = os.path.basename(day) all_results[filename] = { "trades": bt_results.trades.copy(), "outstanding_positions": bt_results.outstanding_positions.copy(), @@ -198,12 +207,12 @@ def main() -> None: } } ) - bt_results.store_results_in_database(args.result_db, datafile) + bt_results.store_results_in_database(db_path=args.result_db, day=day) print(f"Successfully processed {filename}") except Exception as err: - print(f"Error processing {datafile}: {str(err)}") + print(f"Error processing {day}: {str(err)}") import traceback traceback.print_exc() diff --git a/research/research_tools.py b/research/research_tools.py index 1cf6695..70876e7 100644 --- a/research/research_tools.py +++ b/research/research_tools.py @@ -1,6 +1,7 @@ import glob import os from typing import Dict, List, Optional +import pandas as pd from pt_trading.fit_method import PairsTradingFitMethod @@ -45,7 +46,7 @@ def resolve_datafiles(config: Dict, cli_datafiles: Optional[str] = None) -> List def create_pairs( - datafile: str, + datafiles: List[str], fit_method: PairsTradingFitMethod, price_column: str, config: Dict, @@ -61,13 +62,16 @@ def create_pairs( # Update config to use the specified instruments config_copy = config.copy() config_copy["instruments"] = instruments - - market_data_df = load_market_data( - datafile=datafile, - instruments=instruments, - db_table_name=config_copy["market_data_loading"][instruments[0]["instrument_type"]]["db_table_name"], - trading_hours=config_copy["trading_hours"], - ) + + market_data_df = pd.DataFrame() + for datafile in datafiles: + md_df = load_market_data( + datafile=datafile, + instruments=instruments, + db_table_name=config_copy["market_data_loading"][instruments[0]["instrument_type"]]["db_table_name"], + trading_hours=config_copy["trading_hours"], + ) + market_data_df = pd.concat([market_data_df, md_df]) for a_index, b_index in unique_index_pairs: from research.pt_backtest import TradingPair From 24f1f82d1ff40cfd0c9bdaf3a0fa89c0a5d5907d Mon Sep 17 00:00:00 2001 From: Oleg Sheynin Date: Thu, 24 Jul 2025 22:45:21 +0000 Subject: [PATCH 18/25] fixes to notebook --- lib/pt_trading/fit_method.py | 11 + research/notebooks/single_pair_test.ipynb | 5548 ++++++++++++++++++++- research/pt_backtest.py | 9 +- research/research_tools.py | 6 +- 4 files changed, 5494 insertions(+), 80 deletions(-) diff --git a/lib/pt_trading/fit_method.py b/lib/pt_trading/fit_method.py index e9c961a..36dc994 100644 --- a/lib/pt_trading/fit_method.py +++ b/lib/pt_trading/fit_method.py @@ -1,3 +1,5 @@ +from __future__ import annotations + from abc import ABC, abstractmethod from enum import Enum from typing import Dict, Optional, cast @@ -21,6 +23,15 @@ class PairsTradingFitMethod(ABC): "signed_scaled_disequilibrium", "pair", ] + @staticmethod + def create(config: Dict) -> PairsTradingFitMethod: + import importlib + fit_method_class_name = config.get("fit_method_class", None) + assert fit_method_class_name is not None + module_name, class_name = fit_method_class_name.rsplit(".", 1) + module = importlib.import_module(module_name) + fit_method = getattr(module, class_name)() + return cast(PairsTradingFitMethod, fit_method) @abstractmethod def run_pair( diff --git a/research/notebooks/single_pair_test.ipynb b/research/notebooks/single_pair_test.ipynb index b8a3146..4b15e5f 100644 --- a/research/notebooks/single_pair_test.ipynb +++ b/research/notebooks/single_pair_test.ipynb @@ -35,6 +35,11 @@ "global bt_result\n", "global INSTRUMENTS\n", "\n", + "import os\n", + "\n", + "ROOT_DIR = \"/home/oleg/develop/pairs_trading\"\n", + "os.chdir(ROOT_DIR)\n", + "\n", "# ================================ E Q U I T Y ================================\n", "# CONFIG_FILE = \"/home/oleg/develop/pairs_trading/configuration/equity_zscore.cfg\"\n", "\n", @@ -52,23 +57,23 @@ "# Date for data file selection (format: YYYYMMDD)\n", "TRADING_DATE = \"20250602\" # Change this to your desired date\n", "\n", - "INSTRUMENTS = [\n", - " {\n", + "INSTRUMENTS = {\n", + " \"A\": {\n", " \"symbol\": \"ADA-USDT\",\n", " \"exchange_id\": \"BNBSPOT\",\n", " \"instrument_type\": \"CRYPTO\",\n", - " \"instrument_id_pfx\": \"COIN-\",\n", + " \"instrument_id_pfx\": \"PAIR-\",\n", " },\n", - " {\n", + " \"B\": {\n", " \"symbol\": \"SOL-USDT\",\n", " \"exchange_id\": \"BNBSPOT\",\n", " \"instrument_type\": \"CRYPTO\",\n", - " \"instrument_id_pfx\": \"COIN-\",\n", + " \"instrument_id_pfx\": \"PAIR-\",\n", " },\n", - "]\n", + "}\n", "# Trading pair symbols\n", - "SYMBOL_A = INSTRUMENTS[0][\"symbol\"]\n", - "SYMBOL_B = INSTRUMENTS[1][\"symbol\"]\n", + "SYMBOL_A = INSTRUMENTS[\"A\"][\"symbol\"]\n", + "SYMBOL_B = INSTRUMENTS[\"B\"][\"symbol\"]\n", "# ================================ C R Y P T O ================================\n", "\n", "# ================================ E Q U I T Y VS. C R Y P T O ================================\n", @@ -104,6 +109,7 @@ " import os\n", " sys.path.append('/home/oleg/develop/pairs_trading/lib')\n", " sys.path.append('/home/coder/pairs_trading/lib')\n", + " \n", "\n", " import pandas as pd\n", " import numpy as np\n", @@ -120,7 +126,9 @@ " pd.set_option('display.max_colwidth', None)\n", " pd.set_option('display.max_columns', None)\n", "\n", - " print(\"Setup complete!\")\n" + " print(\"Setup complete!\")\n", + " os.chdir(os.path.abspath(os.path.join(os.getcwd(), \"..\", \"..\")))\n", + " print(f\"Current working directory: {os.getcwd()}\")\n" ] }, { @@ -175,7 +183,7 @@ " \n", " assert config is not None\n", " PT_BT_CONFIG = dict(config)\n", - " DB_TABLE_NAME = PT_BT_CONFIG[\"market_data_loading\"][INSTRUMENTS[0][\"instrument_type\"]][\"db_table_name\"]\n", + " DB_TABLE_NAME = PT_BT_CONFIG[\"market_data_loading\"][INSTRUMENTS[\"A\"][\"instrument_type\"]][\"db_table_name\"]\n", "\n", "def instantiate_fit_method_from_config(config: Dict):\n", " \"\"\"Dynamically instantiate strategy from config\"\"\"\n", @@ -221,13 +229,14 @@ "metadata": {}, "outputs": [], "source": [ + "\n", "def print_config() -> None:\n", " global PT_BT_CONFIG\n", " global CONFIG_FILE\n", " global SYMBOL_A\n", " global SYMBOL_B\n", " global TRD_DATE\n", - " global DATA_FILE\n", + " global DATA_FILES\n", " global FIT_MODEL\n", "\n", " print(f\"Trading Parameters:\")\n", @@ -256,34 +265,27 @@ " \n", " # Automatically construct data file name based on date and config type\n", " DATA_FILE = f\"{TRADING_DATE}.mktdata.ohlcv.db\"\n", + " data_directory_a = PT_BT_CONFIG[\"market_data_loading\"][INSTRUMENTS[\"A\"][\"instrument_type\"]][\"data_directory\"]\n", + " data_directory_b = PT_BT_CONFIG[\"market_data_loading\"][INSTRUMENTS[\"B\"][\"instrument_type\"]][\"data_directory\"]\n", + " DATA_FILE_A = f\"{data_directory_a}/{TRADING_DATE}.mktdata.ohlcv.db\"\n", + " DATA_FILE_B = f\"{data_directory_b}/{TRADING_DATE}.mktdata.ohlcv.db\"\n", "\n", - " # Update CONFIG with the specific data file and instruments\n", - " PT_BT_CONFIG[\"datafiles\"] = [DATA_FILE]\n", - " # PT_BT_CONFIG[\"instruments\"] = [SYMBOL_A, SYMBOL_B]\n", + " PT_BT_CONFIG[\"datafiles\"] = list(set([DATA_FILE_A, DATA_FILE_B]))\n", " \n", " print(f\"\\nData Configuration:\")\n", " print(f\" Data File: {DATA_FILE}\")\n", " \n", " # Verify data file exists\n", - " data_file_path = f\"{PT_BT_CONFIG['data_directory']}/{DATA_FILE}\"\n", - " if os.path.exists(data_file_path):\n", - " print(f\" ✓ Data file found: {data_file_path}\")\n", - " else:\n", - " print(f\" ⚠ Data file not found: {data_file_path}\")\n", - " print(f\" Please check if the date and file exist in the data directory\")\n", - " \n", - " # List available files in the data directory\n", - " try:\n", - " data_dir = PT_BT_CONFIG['data_directory']\n", - " if os.path.exists(data_dir):\n", - " available_files = [f for f in os.listdir(data_dir) if f.endswith('.db')]\n", - " print(f\" Available files in {data_dir}:\")\n", - " for file in sorted(available_files)[:5]: # Show first 5 files\n", - " print(f\" - {file}\")\n", - " if len(available_files) > 5:\n", - " print(f\" ... and {len(available_files)-5} more files\")\n", - " except Exception as e:\n", - " print(f\" Could not list files in data directory: {e}\")\n", + " os.chdir(ROOT_DIR)\n", + " for data_file_path in PT_BT_CONFIG[\"datafiles\"]:\n", + " if os.path.exists(data_file_path):\n", + " print(f\" ✓ Data file found: {data_file_path}\")\n", + " else:\n", + " raise FileNotFoundError(\n", + " f\" ⚠ Data file not found: {data_file_path}\\n\"\n", + " f\" Please check if the date and file exist in the data directory\"\n", + " )\n", + " \n", " else:\n", " print(\"⚠ Failed to load configuration. Please check the configuration file.\")\n" ] @@ -303,8 +305,188 @@ "cell_type": "code", "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setup complete!\n", + "Current working directory: /home/oleg\n", + "Trading Parameters:\n", + " Configuration: /home/oleg/develop/pairs_trading/configuration/zscore.cfg\n", + " Symbol A: ADA-USDT\n", + " Symbol B: SOL-USDT\n", + " Trading Date: 2025-06-02\n", + "\n", + "Loading /home/oleg/develop/pairs_trading/configuration/zscore.cfg configuration using HJSON...\n", + "✓ Successfully loaded configuration\n", + " Training window: 120 minutes\n", + " Open threshold: 2\n", + " Close threshold: 0.5\n", + "Fit Model: pt_trading.z-score_rolling_fit.ZScoreRollingFit\n", + "Load configuration SUCCESS\n", + " Fit Method: ZScoreRollingFit\n", + "\n", + "Data Configuration:\n", + " Data File: 20250602.mktdata.ohlcv.db\n", + " ✓ Data file found: ./data/crypto/20250602.mktdata.ohlcv.db\n", + "\n", + "Created trading pair: ADA-USDT & SOL-USDT\n", + "Market data shape: (539, 3)\n", + "Column names: ['close_ADA-USDT', 'close_SOL-USDT']\n", + "\n", + "Sample data:\n" + ] + }, + { + "data": { + "text/html": [ + "
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tstampclose_ADA-USDTclose_SOL-USDT
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tstampclose_ADA-USDTclose_SOL-USDT
3842025-06-02 22:25:000.6919156.70
3852025-06-02 22:26:000.6917156.72
3862025-06-02 22:27:000.6909156.57
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\n", + "
" + ], + "text/plain": [ + " tstamp close_ADA-USDT close_SOL-USDT\n", + "384 2025-06-02 22:25:00 0.6919 156.70\n", + "385 2025-06-02 22:26:00 0.6917 156.72\n", + "386 2025-06-02 22:27:00 0.6909 156.57\n", + "387 2025-06-02 22:28:00 0.6908 156.65\n", + "388 2025-06-02 22:29:00 0.6910 156.75" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ + "\n", "def prepare_market_data() -> None: # Load market data\n", " global PT_BT_CONFIG\n", " global INSTRUMENTS\n", @@ -317,33 +499,45 @@ " import pandas as pd\n", " from tools.data_loader import load_market_data\n", " from pt_trading.trading_pair import TradingPair\n", + " from research.research_tools import create_pairs\n", + " from pt_trading.fit_method import PairsTradingFitMethod\n", "\n", - " datafile_path = f\"{PT_BT_CONFIG['data_directory']}/{DATA_FILE}\"\n", - " print(f\"Loading data from: {datafile_path}\")\n", + " # market_data_df = pd.DataFrame()\n", "\n", - " market_data_df = load_market_data(\n", - " datafile=datafile_path,\n", - " # exchange_id=PT_BT_CONFIG[\"exchange_id\"],\n", - " instruments=INSTRUMENTS,\n", - " # instrument_id_pfx=PT_BT_CONFIG[\"instrument_id_pfx\"],\n", - " db_table_name=DB_TABLE_NAME,\n", - " trading_hours=PT_BT_CONFIG[\"trading_hours\"],\n", - " )\n", + " # for datafile in PT_BT_CONFIG[\"datafiles\"]:\n", + " # print(f\"Loading data from: {datafile}\")\n", + " # md_df = load_market_data(\n", + " # datafile=datafile,\n", + " # instruments=list(INSTRUMENTS.values()),\n", + " # db_table_name=DB_TABLE_NAME,\n", + " # trading_hours=PT_BT_CONFIG[\"trading_hours\"],\n", + " # )\n", + " # market_data_df = pd.concat([market_data_df, md_df])\n", + "\n", + " # print(f\"Loaded {len(market_data_df)} rows of market data\")\n", + " # print(f\"Symbols in data: {market_data_df['symbol'].unique()}\")\n", + " # print(\n", + " # f\"Time range: {market_data_df['tstamp'].min()} to {market_data_df['tstamp'].max()}\"\n", + " # )\n", "\n", - " print(f\"Loaded {len(market_data_df)} rows of market data\")\n", - " print(f\"Symbols in data: {market_data_df['symbol'].unique()}\")\n", - " print(\n", - " f\"Time range: {market_data_df['tstamp'].min()} to {market_data_df['tstamp'].max()}\"\n", - " )\n", "\n", " # Create trading pair\n", - " pair = FIT_MODEL.create_trading_pair(\n", - " config=PT_BT_CONFIG,\n", - " market_data=market_data_df,\n", - " symbol_a=SYMBOL_A,\n", - " symbol_b=SYMBOL_B,\n", + " pairs = create_pairs(\n", + " datafiles=PT_BT_CONFIG[\"datafiles\"],\n", + " fit_method=PairsTradingFitMethod.create(PT_BT_CONFIG),\n", " price_column=PT_BT_CONFIG[\"price_column\"],\n", + " config=PT_BT_CONFIG,\n", + " instruments=list(INSTRUMENTS.values()),\n", " )\n", + " pair = pairs[0]\n", + " \n", + " # pair = FIT_MODEL.create_trading_pair(\n", + " # config=PT_BT_CONFIG,\n", + " # market_data=market_data_df,\n", + " # symbol_a=SYMBOL_A,\n", + " # symbol_b=SYMBOL_B,\n", + " # price_column=PT_BT_CONFIG[\"price_column\"],\n", + " # )\n", "\n", " print(f\"\\nCreated trading pair: {pair}\")\n", " print(f\"Market data shape: {pair.market_data_.shape}\")\n", @@ -357,10 +551,10 @@ "\n", " display(pair.market_data_.tail())\n", "\n", - "# setup()\n", - "# load_config_from_file()\n", - "# print_config()\n", - "# prepare_market_data()" + "setup()\n", + "load_config_from_file()\n", + "print_config()\n", + "prepare_market_data()" ] }, { @@ -1100,7 +1294,7 @@ " print(f\"\\nPair: {SYMBOL_A} & {SYMBOL_B}\")\n", " print(f\"Fit Method: {FIT_METHOD_TYPE}\")\n", " print(f\"Configuration: {CONFIG_FILE}\")\n", - " print(f\"Data file: {DATA_FILE}\")\n", + " # print(f\"Data file: {DATA_FILE}\")\n", " print(f\"Trading date: {TRD_DATE}\")\n", "\n", " print(f\"\\nStrategy Parameters:\")\n", @@ -1247,6 +1441,7 @@ "output_type": "stream", "text": [ "Setup complete!\n", + "Current working directory: /home/oleg\n", "Trading Parameters:\n", " Configuration: /home/oleg/develop/pairs_trading/configuration/zscore.cfg\n", " Symbol A: ADA-USDT\n", @@ -1263,19 +1458,5234 @@ " Fit Method: ZScoreRollingFit\n", "\n", "Data Configuration:\n", - " Data File: 20250602.mktdata.ohlcv.db\n" + " Data File: 20250602.mktdata.ohlcv.db\n", + " ✓ Data file found: ./data/crypto/20250602.mktdata.ohlcv.db\n", + "\n", + "Created trading pair: ADA-USDT & SOL-USDT\n", + "Market data shape: (539, 3)\n", + "Column names: ['close_ADA-USDT', 'close_SOL-USDT']\n", + "\n", + "Sample data:\n" ] }, { - 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tstampclose_ADA-USDTclose_SOL-USDT
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tstampclose_ADA-USDTclose_SOL-USDT
3842025-06-02 22:25:000.6919156.70
3852025-06-02 22:26:000.6917156.72
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\n", + "
" + ], + "text/plain": [ + " tstamp close_ADA-USDT close_SOL-USDT\n", + "384 2025-06-02 22:25:00 0.6919 156.70\n", + "385 2025-06-02 22:26:00 0.6917 156.72\n", + "386 2025-06-02 22:27:00 0.6909 156.57\n", + "387 2025-06-02 22:28:00 0.6908 156.65\n", + "388 2025-06-02 22:29:00 0.6910 156.75" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Analysis for RollingFit ...\n", + "\n", + "=== SLIDING FIT FIT_MODEL ANALYSIS ===\n", + "This strategy:\n", + " - Re-fits cointegration model using sliding window\n", + " - Adapts to changing market conditions\n", + " - Dynamic parameter updates every minute\n", + "\n", + "Rolling window analysis parameters:\n", + " Training window size: 120 minutes\n", + " Maximum iterations: 419\n", + " Total analysis time: ~419 minutes\n", + "\n", + "Strategy Configuration:\n", + " Open threshold: 2\n", + " Close threshold: 0.5\n", + " Training minutes: 120\n", + " Funding per pair: $2000\n" + ] + }, + { + "data": { + "image/png": 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", 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Price Statistics:\n", + " ADA-USDT: Mean=$0.68, Std=$0.01\n", + " SOL-USDT: Mean=$153.53, Std=$1.04\n", + " Price Ratio: Mean=0.00, Std=0.00\n", + " Correlation: 0.9229\n", + "Running RollingFit analysis...\n", + "\n", + "=== SLIDING FIT ANALYSIS ===\n", + "Processing first 200 iterations for demonstration...\n", + "***ADA-USDT & SOL-USDT*** STARTING....\n", + "OPEN_TRADES: 2025-06-02 15:31:00 open_scaled_disequilibrium=2.892080636255072\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 15:31:00 ADA-USDT BUY OPEN 0.6733 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 15:31:00 SOL-USDT SELL OPEN 153.1600 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 15:41:00 ADA-USDT SELL CLOSE 0.6735 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 15:41:00 SOL-USDT BUY CLOSE 153.0800 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 16:44:00 open_scaled_disequilibrium=2.364778510607668\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 16:44:00 ADA-USDT BUY OPEN 0.6708 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 16:44:00 SOL-USDT SELL OPEN 152.4700 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:01:00 ADA-USDT SELL CLOSE 0.6745 -0.45725 0.45725 -0.45725 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 17:01:00 SOL-USDT BUY CLOSE 153.2100 -0.45725 0.45725 -0.45725 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 17:06:00 open_scaled_disequilibrium=2.191024540541887\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:06:00 ADA-USDT BUY OPEN 0.6738 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 17:06:00 SOL-USDT SELL OPEN 152.9000 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:17:00 ADA-USDT SELL CLOSE 0.6726 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 17:17:00 SOL-USDT BUY CLOSE 152.7800 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 17:24:00 open_scaled_disequilibrium=2.748538160528875\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:24:00 ADA-USDT BUY OPEN 0.6755 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 17:24:00 SOL-USDT SELL OPEN 153.5600 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:35:00 ADA-USDT SELL CLOSE 0.6712 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 17:35:00 SOL-USDT BUY CLOSE 153.0300 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 18:02:00 open_scaled_disequilibrium=2.0472288892294728\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 18:02:00 ADA-USDT SELL OPEN 0.6741 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 18:02:00 SOL-USDT BUY OPEN 153.5900 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 18:06:00 ADA-USDT BUY CLOSE 0.6746 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 18:06:00 SOL-USDT SELL CLOSE 153.7900 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 19:35:00 open_scaled_disequilibrium=2.016877535891162\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 19:35:00 ADA-USDT BUY OPEN 0.6719 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 19:35:00 SOL-USDT SELL OPEN 151.9900 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 21:04:00 ADA-USDT SELL CLOSE 0.6845 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 21:04:00 SOL-USDT BUY CLOSE 154.7200 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 21:33:00 open_scaled_disequilibrium=2.1162146947771068\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 21:33:00 ADA-USDT SELL OPEN 0.6819 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 21:33:00 SOL-USDT BUY OPEN 154.5100 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 21:40:00 ADA-USDT BUY CLOSE 0.6833 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 21:40:00 SOL-USDT SELL CLOSE 154.9200 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 21:58:00 open_scaled_disequilibrium=2.0841568077931436\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 21:58:00 ADA-USDT BUY OPEN 0.6842 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 21:58:00 SOL-USDT SELL OPEN 155.2900 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 22:06:00 ADA-USDT SELL CLOSE 0.6887 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 22:06:00 SOL-USDT BUY CLOSE 155.8300 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", + "***ADA-USDT & SOL-USDT*** FINISHED *** Num Trades:32\n", + "Generated 32 trading signals\n", + "\n", + "Strategy execution completed!\n", + "\n", + "================================================================================\n", + "BACKTEST RESULTS\n", + "================================================================================\n" + ] + }, + { + "data": { + "text/html": [ + " \n", + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=== SLIDING FIT INTERACTIVE VISUALIZATION ===\n", + "Note: Rolling Fit strategy visualization with interactive plotly charts\n", + "Using consistent timeline with 539 timestamps\n", + "Timeline range: 2025-06-02 13:30:00 to 2025-06-02 22:29:00\n", + "\n", + "Symbol_A trades:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 15:31:00 ADA-USDT BUY OPEN 0.6733 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "2 2025-06-02 15:41:00 ADA-USDT SELL CLOSE 0.6735 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "4 2025-06-02 16:44:00 ADA-USDT BUY OPEN 0.6708 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "6 2025-06-02 17:01:00 ADA-USDT SELL CLOSE 0.6745 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", + "8 2025-06-02 17:06:00 ADA-USDT BUY OPEN 0.6738 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "10 2025-06-02 17:17:00 ADA-USDT SELL CLOSE 0.6726 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "12 2025-06-02 17:24:00 ADA-USDT BUY OPEN 0.6755 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "14 2025-06-02 17:35:00 ADA-USDT SELL CLOSE 0.6712 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "16 2025-06-02 18:02:00 ADA-USDT SELL OPEN 0.6741 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "18 2025-06-02 18:06:00 ADA-USDT BUY CLOSE 0.6746 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "20 2025-06-02 19:35:00 ADA-USDT BUY OPEN 0.6719 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "22 2025-06-02 21:04:00 ADA-USDT SELL CLOSE 0.6845 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", + "24 2025-06-02 21:33:00 ADA-USDT SELL OPEN 0.6819 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", + "26 2025-06-02 21:40:00 ADA-USDT BUY CLOSE 0.6833 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", + "28 2025-06-02 21:58:00 ADA-USDT BUY OPEN 0.6842 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", + "30 2025-06-02 22:06:00 ADA-USDT SELL CLOSE 0.6887 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", + "\n", + "Symbol_B trades:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "1 2025-06-02 15:31:00 SOL-USDT SELL OPEN 153.16 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "3 2025-06-02 15:41:00 SOL-USDT BUY CLOSE 153.08 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "5 2025-06-02 16:44:00 SOL-USDT SELL OPEN 152.47 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "7 2025-06-02 17:01:00 SOL-USDT BUY CLOSE 153.21 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", + "9 2025-06-02 17:06:00 SOL-USDT SELL OPEN 152.90 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "11 2025-06-02 17:17:00 SOL-USDT BUY CLOSE 152.78 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "13 2025-06-02 17:24:00 SOL-USDT SELL OPEN 153.56 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "15 2025-06-02 17:35:00 SOL-USDT BUY CLOSE 153.03 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "17 2025-06-02 18:02:00 SOL-USDT BUY OPEN 153.59 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "19 2025-06-02 18:06:00 SOL-USDT SELL CLOSE 153.79 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "21 2025-06-02 19:35:00 SOL-USDT SELL OPEN 151.99 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "23 2025-06-02 21:04:00 SOL-USDT BUY CLOSE 154.72 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", + "25 2025-06-02 21:33:00 SOL-USDT BUY OPEN 154.51 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", + "27 2025-06-02 21:40:00 SOL-USDT SELL CLOSE 154.92 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", + "29 2025-06-02 21:58:00 SOL-USDT SELL OPEN 155.29 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", + "31 2025-06-02 22:06:00 SOL-USDT BUY CLOSE 155.83 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n" + ] + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "line": { + "color": "green", + "width": 2 + }, + "name": "Absolute Scaled Dis-equilibrium", + "opacity": 0.8, + "type": "scatter", + "x": [ + "2025-06-02T13:30:00.000000000", + "2025-06-02T13:31:00.000000000", + "2025-06-02T13:32:00.000000000", + "2025-06-02T13:33:00.000000000", + "2025-06-02T13:34:00.000000000", + 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Actual Price: $152.78", + "SOL-USDT BUY CLOSE
Time: 2025-06-02 17:35:00
Normalized Price: 0.9958
Actual Price: $153.03", + "SOL-USDT BUY OPEN
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Normalized Price: 0.9994
Actual Price: $153.59", + "SOL-USDT BUY CLOSE
Time: 2025-06-02 21:04:00
Normalized Price: 1.0068
Actual Price: $154.72", + "SOL-USDT BUY OPEN
Time: 2025-06-02 21:33:00
Normalized Price: 1.0054
Actual Price: $154.51", + "SOL-USDT BUY CLOSE
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Normalized Price: 1.0140
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BUY ADA-USDT @ $0.67 at 2025-06-02 15:31:00\n", + " 2. SELL SOL-USDT @ $153.16 at 2025-06-02 15:31:00\n", + " 3. SELL ADA-USDT @ $0.67 at 2025-06-02 15:41:00\n", + " 4. BUY SOL-USDT @ $153.08 at 2025-06-02 15:41:00\n", + " 5. BUY ADA-USDT @ $0.67 at 2025-06-02 16:44:00\n", + " 6. SELL SOL-USDT @ $152.47 at 2025-06-02 16:44:00\n", + " ... and 26 more signals\n", + "\n", + "================================================================================\n", + "\n", + "Detailed Trading Signals:\n", + "Time Action Symbol Price Scaled Dis-eq Status \n", + "------------------------------------------------------------------------------------------\n", + "2025-06-02 15:31:00 OPEN ADA-USDT $0.67 2.892 OPEN \n", + "2025-06-02 15:31:00 OPEN SOL-USDT $153.16 2.892 OPEN \n", + "2025-06-02 15:41:00 CLOSE ADA-USDT $0.67 0.015 CLOSE \n", + "2025-06-02 15:41:00 CLOSE SOL-USDT $153.08 0.015 CLOSE \n", + "2025-06-02 16:44:00 OPEN ADA-USDT $0.67 2.365 OPEN \n", + "2025-06-02 16:44:00 OPEN SOL-USDT $152.47 2.365 OPEN \n", + "2025-06-02 17:01:00 CLOSE ADA-USDT $0.67 0.457 CLOSE \n", + "2025-06-02 17:01:00 CLOSE SOL-USDT $153.21 0.457 CLOSE \n", + "2025-06-02 17:06:00 OPEN ADA-USDT $0.67 2.191 OPEN \n", + "2025-06-02 17:06:00 OPEN SOL-USDT $152.90 2.191 OPEN \n", + "... and 22 more trading signals\n", + "\n", + " -------------- Suggested Trades \n", + " symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "time \n", + "2025-06-02 15:31:00 ADA-USDT BUY OPEN 0.6733 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 15:31:00 SOL-USDT SELL OPEN 153.1600 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 15:41:00 ADA-USDT SELL CLOSE 0.6735 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 15:41:00 SOL-USDT BUY CLOSE 153.0800 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 16:44:00 ADA-USDT BUY OPEN 0.6708 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 16:44:00 SOL-USDT SELL OPEN 152.4700 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 17:01:00 ADA-USDT SELL CLOSE 0.6745 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 17:01:00 SOL-USDT BUY CLOSE 153.2100 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 17:06:00 ADA-USDT BUY OPEN 0.6738 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 17:06:00 SOL-USDT SELL OPEN 152.9000 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 17:17:00 ADA-USDT SELL CLOSE 0.6726 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 17:17:00 SOL-USDT BUY CLOSE 152.7800 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 17:24:00 ADA-USDT BUY OPEN 0.6755 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 17:24:00 SOL-USDT SELL OPEN 153.5600 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 17:35:00 ADA-USDT SELL CLOSE 0.6712 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 17:35:00 SOL-USDT BUY CLOSE 153.0300 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 18:02:00 ADA-USDT SELL OPEN 0.6741 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 18:02:00 SOL-USDT BUY OPEN 153.5900 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 18:06:00 ADA-USDT BUY CLOSE 0.6746 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 18:06:00 SOL-USDT SELL CLOSE 153.7900 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 19:35:00 ADA-USDT BUY OPEN 0.6719 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 19:35:00 SOL-USDT SELL OPEN 151.9900 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 21:04:00 ADA-USDT SELL CLOSE 0.6845 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 21:04:00 SOL-USDT BUY CLOSE 154.7200 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 21:33:00 ADA-USDT SELL OPEN 0.6819 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 21:33:00 SOL-USDT BUY OPEN 154.5100 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 21:40:00 ADA-USDT BUY CLOSE 0.6833 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 21:40:00 SOL-USDT SELL CLOSE 154.9200 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 21:58:00 ADA-USDT BUY OPEN 0.6842 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 21:58:00 SOL-USDT SELL OPEN 155.2900 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 22:06:00 ADA-USDT SELL CLOSE 0.6887 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 22:06:00 SOL-USDT BUY CLOSE 155.8300 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", + "\n", + "====== Returns By Day and Pair ======\n", + "\n", + "--- 20250602-ADA-USDT & SOL-USDT ---\n", + "ADA-USDT & SOL-USDT:\n", + " 15:31:00 ADA-USDT: BUY @ $0.67, SELL @ $0.67, Return: 0.03% | Open Dis-eq: 2.89,\n", + " 15:31:00 SOL-USDT: SELL @ $153.16, BUY @ $153.08, Return: 0.05% | Open Dis-eq: 2.89,\n", + " 16:44:00 ADA-USDT: BUY @ $0.67, SELL @ $0.67, Return: 0.55% | Open Dis-eq: 2.36,\n", + " 16:44:00 SOL-USDT: SELL @ $152.47, BUY @ $153.21, Return: -0.49% | Open Dis-eq: 2.36,\n", + " 17:06:00 ADA-USDT: BUY @ $0.67, SELL @ $0.67, Return: -0.18% | Open Dis-eq: 2.19,\n", + " 17:06:00 SOL-USDT: SELL @ $152.90, BUY @ $152.78, Return: 0.08% | Open Dis-eq: 2.19,\n", + " 17:24:00 ADA-USDT: BUY @ $0.68, SELL @ $0.67, Return: -0.64% | Open Dis-eq: 2.75,\n", + " 17:24:00 SOL-USDT: SELL @ $153.56, BUY @ $153.03, Return: 0.35% | Open Dis-eq: 2.75,\n", + " 18:02:00 ADA-USDT: SELL @ $0.67, BUY @ $0.67, Return: -0.07% | Open Dis-eq: 2.05,\n", + " 18:02:00 SOL-USDT: BUY @ $153.59, SELL @ $153.79, Return: 0.13% | Open Dis-eq: 2.05,\n", + " 19:35:00 ADA-USDT: BUY @ $0.67, SELL @ $0.68, Return: 1.88% | Open Dis-eq: 2.02,\n", + " 19:35:00 SOL-USDT: SELL @ $151.99, BUY @ $154.72, Return: -1.80% | Open Dis-eq: 2.02,\n", + " 21:33:00 ADA-USDT: SELL @ $0.68, BUY @ $0.68, Return: -0.21% | Open Dis-eq: 2.12,\n", + " 21:33:00 SOL-USDT: BUY @ $154.51, SELL @ $154.92, Return: 0.27% | Open Dis-eq: 2.12,\n", + " 21:58:00 ADA-USDT: BUY @ $0.68, SELL @ $0.69, Return: 0.66% | Open Dis-eq: 2.08,\n", + " 21:58:00 SOL-USDT: SELL @ $155.29, BUY @ $155.83, Return: -0.35% | Open Dis-eq: 2.08,\n", + " Pair Total Return: 0.26%\n", + " Day Total Return: 0.26%\n", + "\n", + "====== GRAND TOTALS ACROSS ALL PAIRS ======\n", + "Total Realized PnL: 0.26%\n", + "\n", + "====== NO OUTSTANDING POSITIONS ======\n", + "\n", + "================================================================================\n" ] } ], diff --git a/research/pt_backtest.py b/research/pt_backtest.py index ea3b9e2..8d230c6 100644 --- a/research/pt_backtest.py +++ b/research/pt_backtest.py @@ -99,7 +99,6 @@ def run_backtest( bt_result.collect_single_day_results(pairs_trades) return bt_result - def main() -> None: parser = argparse.ArgumentParser(description="Run pairs trading backtest.") parser.add_argument( @@ -129,11 +128,7 @@ def main() -> None: config: Dict = load_config(args.config) # Dynamically instantiate fit method class - fit_method_class_name = config.get("fit_method_class", None) - assert fit_method_class_name is not None - module_name, class_name = fit_method_class_name.rsplit(".", 1) - module = importlib.import_module(module_name) - fit_method = getattr(module, class_name)() + fit_method = PairsTradingFitMethod.create(config) # Resolve data files (CLI takes priority over config) instruments = get_instruments(args, config) @@ -166,7 +161,7 @@ def main() -> None: db_path=args.result_db, config_file_path=args.config, config=config, - fit_method_class=fit_method_class_name, + fit_method_class=config["fit_method_class"], datafiles=datafiles, instruments=instruments, ) diff --git a/research/research_tools.py b/research/research_tools.py index 70876e7..523809a 100644 --- a/research/research_tools.py +++ b/research/research_tools.py @@ -1,8 +1,8 @@ import glob import os from typing import Dict, List, Optional -import pandas as pd +import pandas as pd from pt_trading.fit_method import PairsTradingFitMethod @@ -52,8 +52,8 @@ def create_pairs( config: Dict, instruments: List[Dict[str, str]], ) -> List: - from tools.data_loader import load_market_data from pt_trading.trading_pair import TradingPair + from tools.data_loader import load_market_data all_indexes = range(len(instruments)) unique_index_pairs = [(i, j) for i in all_indexes for j in all_indexes if i < j] @@ -74,8 +74,6 @@ def create_pairs( market_data_df = pd.concat([market_data_df, md_df]) for a_index, b_index in unique_index_pairs: - from research.pt_backtest import TradingPair - pair = fit_method.create_trading_pair( config=config_copy, market_data=market_data_df, From 2c08b6f1a98da44aac4727ef02743ce59e807e83 Mon Sep 17 00:00:00 2001 From: Oleg Sheynin Date: Fri, 25 Jul 2025 00:47:19 +0000 Subject: [PATCH 19/25] intermarket fix for weekends --- research/notebooks/single_pair_test.ipynb | 1830 ++++++++------------- research/pt_backtest.py | 4 + 2 files changed, 663 insertions(+), 1171 deletions(-) diff --git a/research/notebooks/single_pair_test.ipynb b/research/notebooks/single_pair_test.ipynb index 4b15e5f..779e201 100644 --- a/research/notebooks/single_pair_test.ipynb +++ b/research/notebooks/single_pair_test.ipynb @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -40,46 +40,67 @@ "ROOT_DIR = \"/home/oleg/develop/pairs_trading\"\n", "os.chdir(ROOT_DIR)\n", "\n", + "CONFIG_FILE = f\"{ROOT_DIR}/configuration/zscore.cfg\"\n", + "\n", + "# Date for data file selection (format: YYYYMMDD)\n", + "TRADING_DATE = \"20250601\" # Change this to your desired date\n", + "\n", "# ================================ E Q U I T Y ================================\n", - "# CONFIG_FILE = \"/home/oleg/develop/pairs_trading/configuration/equity_zscore.cfg\"\n", + "INSTRUMENTS = {\n", + " \"A\": {\n", + " \"symbol\": \"COIN\",\n", + " \"exchange_id\": \"ALPACA\",\n", + " \"instrument_type\": \"EQUITY\",\n", + " \"instrument_id_pfx\": \"STOCK-\",\n", + " },\n", + " \"B\": {\n", + " \"symbol\": \"MSTR\",\n", + " \"exchange_id\": \"ALPACA\",\n", + " \"instrument_type\": \"EQUITY\",\n", + " \"instrument_id_pfx\": \"STOCK-\",\n", + " },\n", + "}\n", "\n", - "# # Date for data file selection (format: YYYYMMDD)\n", - "# TRADING_DATE = \"20250618\" # Change this to your desired date\n", - "\n", - "# # Trading pair symbols\n", - "# SYMBOL_A = \"COIN\" # Change this to your desired symbol A\n", - "# SYMBOL_B = \"MSTR\" # Change this to your desired symbol B\n", "# ================================ E Q U I T Y ================================\n", "\n", "# ================================ C R Y P T O ================================\n", - "CONFIG_FILE = \"/home/oleg/develop/pairs_trading/configuration/zscore.cfg\"\n", "\n", - "# Date for data file selection (format: YYYYMMDD)\n", - "TRADING_DATE = \"20250602\" # Change this to your desired date\n", + "# INSTRUMENTS = {\n", + "# \"A\": {\n", + "# \"symbol\": \"ADA-USDT\",\n", + "# \"exchange_id\": \"BNBSPOT\",\n", + "# \"instrument_type\": \"CRYPTO\",\n", + "# \"instrument_id_pfx\": \"PAIR-\",\n", + "# },\n", + "# \"B\": {\n", + "# \"symbol\": \"SOL-USDT\",\n", + "# \"exchange_id\": \"BNBSPOT\",\n", + "# \"instrument_type\": \"CRYPTO\",\n", + "# \"instrument_id_pfx\": \"PAIR-\",\n", + "# },\n", + "# }\n", + "# Trading pair symbols\n", + "# ================================ C R Y P T O ================================\n", "\n", + "# ================================ E Q U I T Y VS. C R Y P T O ================================\n", "INSTRUMENTS = {\n", " \"A\": {\n", - " \"symbol\": \"ADA-USDT\",\n", - " \"exchange_id\": \"BNBSPOT\",\n", - " \"instrument_type\": \"CRYPTO\",\n", - " \"instrument_id_pfx\": \"PAIR-\",\n", + " \"symbol\": \"COIN\",\n", + " \"exchange_id\": \"ALPACA\",\n", + " \"instrument_type\": \"EQUITY\",\n", + " \"instrument_id_pfx\": \"STOCK-\",\n", " },\n", " \"B\": {\n", - " \"symbol\": \"SOL-USDT\",\n", + " \"symbol\": \"BTC-USDT\",\n", " \"exchange_id\": \"BNBSPOT\",\n", " \"instrument_type\": \"CRYPTO\",\n", " \"instrument_id_pfx\": \"PAIR-\",\n", " },\n", "}\n", - "# Trading pair symbols\n", + "# ================================ E Q U I T Y VS. C R Y P T O ================================\n", + "\n", "SYMBOL_A = INSTRUMENTS[\"A\"][\"symbol\"]\n", "SYMBOL_B = INSTRUMENTS[\"B\"][\"symbol\"]\n", - "# ================================ C R Y P T O ================================\n", - "\n", - "# ================================ E Q U I T Y VS. C R Y P T O ================================\n", - "\n", - "# ================================ E Q U I T Y VS. C R Y P T O ================================\n", - "\n", "FIT_METHOD_TYPE = \"RollingFit\"\n", "TRD_DATE = f\"{TRADING_DATE[0:4]}-{TRADING_DATE[4:6]}-{TRADING_DATE[6:8]}\"\n" ] @@ -100,7 +121,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -144,7 +165,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -225,7 +246,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -303,7 +324,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -314,9 +335,9 @@ "Current working directory: /home/oleg\n", "Trading Parameters:\n", " Configuration: /home/oleg/develop/pairs_trading/configuration/zscore.cfg\n", - " Symbol A: ADA-USDT\n", - " Symbol B: SOL-USDT\n", - " Trading Date: 2025-06-02\n", + " Symbol A: COIN\n", + " Symbol B: BTC-USDT\n", + " Trading Date: 2025-06-01\n", "\n", "Loading /home/oleg/develop/pairs_trading/configuration/zscore.cfg configuration using HJSON...\n", "✓ Successfully loaded configuration\n", @@ -328,161 +349,21 @@ " Fit Method: ZScoreRollingFit\n", "\n", "Data Configuration:\n", - " Data File: 20250602.mktdata.ohlcv.db\n", - " ✓ Data file found: ./data/crypto/20250602.mktdata.ohlcv.db\n", - "\n", - "Created trading pair: ADA-USDT & SOL-USDT\n", - "Market data shape: (539, 3)\n", - "Column names: ['close_ADA-USDT', 'close_SOL-USDT']\n", - "\n", - "Sample data:\n" + " Data File: 20250601.mktdata.ohlcv.db\n", + " ✓ Data file found: ./data/crypto/20250601.mktdata.ohlcv.db\n" ] }, { - "data": { - "text/html": [ - "
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tstampclose_ADA-USDTclose_SOL-USDT
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tstampclose_ADA-USDTclose_SOL-USDT
3842025-06-02 22:25:000.6919156.70
3852025-06-02 22:26:000.6917156.72
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\n", - "
" - ], - "text/plain": [ - " tstamp close_ADA-USDT close_SOL-USDT\n", - "384 2025-06-02 22:25:00 0.6919 156.70\n", - "385 2025-06-02 22:26:00 0.6917 156.72\n", - "386 2025-06-02 22:27:00 0.6909 156.57\n", - "387 2025-06-02 22:28:00 0.6908 156.65\n", - "388 2025-06-02 22:29:00 0.6910 156.75" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "FileNotFoundError", + "evalue": " ⚠ Data file not found: ./data/equity/20250601.mktdata.ohlcv.db\n Please check if the date and file exist in the data directory", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mFileNotFoundError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[22]\u001b[39m\u001b[32m, line 40\u001b[39m\n\u001b[32m 38\u001b[39m setup()\n\u001b[32m 39\u001b[39m load_config_from_file()\n\u001b[32m---> \u001b[39m\u001b[32m40\u001b[39m \u001b[43mprint_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 41\u001b[39m prepare_market_data()\n", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[21]\u001b[39m\u001b[32m, line 52\u001b[39m, in \u001b[36mprint_config\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m 50\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m ✓ Data file found: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdata_file_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m 51\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m---> \u001b[39m\u001b[32m52\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m(\n\u001b[32m 53\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m ⚠ Data file not found: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdata_file_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m 54\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m Please check if the date and file exist in the data directory\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 55\u001b[39m )\n\u001b[32m 57\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 58\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33m\"\u001b[39m\u001b[33m⚠ Failed to load configuration. Please check the configuration file.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[31mFileNotFoundError\u001b[39m: ⚠ Data file not found: ./data/equity/20250601.mktdata.ohlcv.db\n Please check if the date and file exist in the data directory" + ] } ], "source": [ @@ -502,25 +383,6 @@ " from research.research_tools import create_pairs\n", " from pt_trading.fit_method import PairsTradingFitMethod\n", "\n", - " # market_data_df = pd.DataFrame()\n", - "\n", - " # for datafile in PT_BT_CONFIG[\"datafiles\"]:\n", - " # print(f\"Loading data from: {datafile}\")\n", - " # md_df = load_market_data(\n", - " # datafile=datafile,\n", - " # instruments=list(INSTRUMENTS.values()),\n", - " # db_table_name=DB_TABLE_NAME,\n", - " # trading_hours=PT_BT_CONFIG[\"trading_hours\"],\n", - " # )\n", - " # market_data_df = pd.concat([market_data_df, md_df])\n", - "\n", - " # print(f\"Loaded {len(market_data_df)} rows of market data\")\n", - " # print(f\"Symbols in data: {market_data_df['symbol'].unique()}\")\n", - " # print(\n", - " # f\"Time range: {market_data_df['tstamp'].min()} to {market_data_df['tstamp'].max()}\"\n", - " # )\n", - "\n", - "\n", " # Create trading pair\n", " pairs = create_pairs(\n", " datafiles=PT_BT_CONFIG[\"datafiles\"],\n", @@ -531,14 +393,6 @@ " )\n", " pair = pairs[0]\n", " \n", - " # pair = FIT_MODEL.create_trading_pair(\n", - " # config=PT_BT_CONFIG,\n", - " # market_data=market_data_df,\n", - " # symbol_a=SYMBOL_A,\n", - " # symbol_b=SYMBOL_B,\n", - " # price_column=PT_BT_CONFIG[\"price_column\"],\n", - " # )\n", - "\n", " print(f\"\\nCreated trading pair: {pair}\")\n", " print(f\"Market data shape: {pair.market_data_.shape}\")\n", " print(f\"Column names: {pair.colnames()}\")\n", @@ -570,7 +424,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -615,7 +469,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -707,7 +561,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -778,7 +632,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1282,7 +1136,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1352,7 +1206,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1433,7 +1287,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1444,8 +1298,8 @@ "Current working directory: /home/oleg\n", "Trading Parameters:\n", " Configuration: /home/oleg/develop/pairs_trading/configuration/zscore.cfg\n", - " Symbol A: ADA-USDT\n", - " Symbol B: SOL-USDT\n", + " Symbol A: COIN\n", + " Symbol B: BTC-USDT\n", " Trading Date: 2025-06-02\n", "\n", "Loading /home/oleg/develop/pairs_trading/configuration/zscore.cfg configuration using HJSON...\n", @@ -1460,10 +1314,11 @@ "Data Configuration:\n", " Data File: 20250602.mktdata.ohlcv.db\n", " ✓ Data file found: ./data/crypto/20250602.mktdata.ohlcv.db\n", + " ✓ Data file found: ./data/equity/20250602.mktdata.ohlcv.db\n", "\n", - "Created trading pair: ADA-USDT & SOL-USDT\n", - "Market data shape: (539, 3)\n", - "Column names: ['close_ADA-USDT', 'close_SOL-USDT']\n", + "Created trading pair: COIN & BTC-USDT\n", + "Market data shape: (455, 3)\n", + "Column names: ['close_COIN', 'close_BTC-USDT']\n", "\n", "Sample data:\n" ] @@ -1490,52 +1345,52 @@ " \n", " \n", " tstamp\n", - " close_ADA-USDT\n", - " close_SOL-USDT\n", + " close_COIN\n", + " close_BTC-USDT\n", " \n", " \n", " \n", " \n", - " 138\n", + " 136\n", " 2025-06-02 13:30:00\n", - " 0.6709\n", - " 153.68\n", + " 246.9800\n", + " 104007.14\n", + " \n", + " \n", + " 137\n", + " 2025-06-02 13:31:00\n", + " 247.0750\n", + " 104012.63\n", + " \n", + " \n", + " 138\n", + " 2025-06-02 13:32:00\n", + " 247.6988\n", + " 104137.37\n", " \n", " \n", " 139\n", - " 2025-06-02 13:31:00\n", - " 0.6716\n", - " 153.85\n", + " 2025-06-02 13:33:00\n", + " 247.6000\n", + " 104275.95\n", " \n", " \n", " 140\n", - " 2025-06-02 13:32:00\n", - " 0.6730\n", - " 153.87\n", - " \n", - " \n", - " 141\n", - " 2025-06-02 13:33:00\n", - " 0.6729\n", - " 153.93\n", - " \n", - " \n", - " 142\n", " 2025-06-02 13:34:00\n", - " 0.6732\n", - " 154.04\n", + " 247.2500\n", + " 104275.44\n", " \n", " \n", "\n", "
" ], "text/plain": [ - " tstamp close_ADA-USDT close_SOL-USDT\n", - "138 2025-06-02 13:30:00 0.6709 153.68\n", - "139 2025-06-02 13:31:00 0.6716 153.85\n", - "140 2025-06-02 13:32:00 0.6730 153.87\n", - "141 2025-06-02 13:33:00 0.6729 153.93\n", - "142 2025-06-02 13:34:00 0.6732 154.04" + " tstamp close_COIN close_BTC-USDT\n", + "136 2025-06-02 13:30:00 246.9800 104007.14\n", + "137 2025-06-02 13:31:00 247.0750 104012.63\n", + "138 2025-06-02 13:32:00 247.6988 104137.37\n", + "139 2025-06-02 13:33:00 247.6000 104275.95\n", + "140 2025-06-02 13:34:00 247.2500 104275.44" ] }, "metadata": {}, @@ -1563,52 +1418,52 @@ " \n", " \n", " tstamp\n", - " close_ADA-USDT\n", - " close_SOL-USDT\n", + " close_COIN\n", + " close_BTC-USDT\n", " \n", " \n", " \n", " \n", - " 384\n", + " 325\n", " 2025-06-02 22:25:00\n", - " 0.6919\n", - " 156.70\n", + " 248.5000\n", + " 105701.93\n", " \n", " \n", - " 385\n", + " 326\n", " 2025-06-02 22:26:00\n", - " 0.6917\n", - " 156.72\n", + " 248.3300\n", + " 105776.48\n", " \n", " \n", - " 386\n", + " 327\n", " 2025-06-02 22:27:00\n", - " 0.6909\n", - " 156.57\n", + " 248.6672\n", + " 105752.91\n", " \n", " \n", - " 387\n", + " 328\n", " 2025-06-02 22:28:00\n", - " 0.6908\n", - " 156.65\n", + " 248.3500\n", + " 105764.15\n", " \n", " \n", - " 388\n", + " 329\n", " 2025-06-02 22:29:00\n", - " 0.6910\n", - " 156.75\n", + " 248.2500\n", + " 105750.52\n", " \n", " \n", "\n", "" ], "text/plain": [ - " tstamp close_ADA-USDT close_SOL-USDT\n", - "384 2025-06-02 22:25:00 0.6919 156.70\n", - "385 2025-06-02 22:26:00 0.6917 156.72\n", - "386 2025-06-02 22:27:00 0.6909 156.57\n", - "387 2025-06-02 22:28:00 0.6908 156.65\n", - "388 2025-06-02 22:29:00 0.6910 156.75" + " tstamp close_COIN close_BTC-USDT\n", + "325 2025-06-02 22:25:00 248.5000 105701.93\n", + "326 2025-06-02 22:26:00 248.3300 105776.48\n", + "327 2025-06-02 22:27:00 248.6672 105752.91\n", + "328 2025-06-02 22:28:00 248.3500 105764.15\n", + "329 2025-06-02 22:29:00 248.2500 105750.52" ] }, "metadata": {}, @@ -1628,8 +1483,8 @@ "\n", "Rolling window analysis parameters:\n", " Training window size: 120 minutes\n", - " Maximum iterations: 419\n", - " Total analysis time: ~419 minutes\n", + " Maximum iterations: 335\n", + " Total analysis time: ~335 minutes\n", "\n", "Strategy Configuration:\n", " Open threshold: 2\n", @@ -1640,7 +1495,7 @@ }, { "data": { - "image/png": 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", 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" ] @@ -1664,89 +1519,64 @@ "text": [ "\n", "Price Statistics:\n", - " ADA-USDT: Mean=$0.68, Std=$0.01\n", - " SOL-USDT: Mean=$153.53, Std=$1.04\n", + " COIN: Mean=$245.80, Std=$1.06\n", + " BTC-USDT: Mean=$104376.16, Std=$313.85\n", " Price Ratio: Mean=0.00, Std=0.00\n", - " Correlation: 0.9229\n", + " Correlation: 0.6386\n", "Running RollingFit analysis...\n", "\n", "=== SLIDING FIT ANALYSIS ===\n", "Processing first 200 iterations for demonstration...\n", - "***ADA-USDT & SOL-USDT*** STARTING....\n", - "OPEN_TRADES: 2025-06-02 15:31:00 open_scaled_disequilibrium=2.892080636255072\n", + "***COIN & BTC-USDT*** STARTING....\n", + "COIN & BTC-USDT: current offset=336 * Training data length=119 < 120 * Not enough training data. Completing the job.\n", + "OPEN_TRADES: 2025-06-02 15:31:00 open_scaled_disequilibrium=2.256413939264223\n", "OPEN TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 15:31:00 ADA-USDT BUY OPEN 0.6733 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", - "1 2025-06-02 15:31:00 SOL-USDT SELL OPEN 153.1600 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 15:31:00 COIN SELL OPEN 245.62 2.256414 2.256414 2.256414 COIN & BTC-USDT OPEN\n", + "1 2025-06-02 15:31:00 BTC-USDT BUY OPEN 104335.80 2.256414 2.256414 2.256414 COIN & BTC-USDT OPEN\n", "CLOSE TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 15:41:00 ADA-USDT SELL CLOSE 0.6735 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", - "1 2025-06-02 15:41:00 SOL-USDT BUY CLOSE 153.0800 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-02 16:44:00 open_scaled_disequilibrium=2.364778510607668\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 15:47:00 COIN BUY CLOSE 246.35 -0.068025 0.068025 -0.068025 COIN & BTC-USDT CLOSE\n", + "1 2025-06-02 15:47:00 BTC-USDT SELL CLOSE 104360.01 -0.068025 0.068025 -0.068025 COIN & BTC-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 16:28:00 open_scaled_disequilibrium=2.0484568293010335\n", "OPEN TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 16:44:00 ADA-USDT BUY OPEN 0.6708 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", - "1 2025-06-02 16:44:00 SOL-USDT SELL OPEN 152.4700 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 16:28:00 COIN BUY OPEN 245.945 -2.048457 2.048457 -2.048457 COIN & BTC-USDT OPEN\n", + "1 2025-06-02 16:28:00 BTC-USDT SELL OPEN 104104.020 -2.048457 2.048457 -2.048457 COIN & BTC-USDT OPEN\n", "CLOSE TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 17:01:00 ADA-USDT SELL CLOSE 0.6745 -0.45725 0.45725 -0.45725 ADA-USDT & SOL-USDT CLOSE\n", - "1 2025-06-02 17:01:00 SOL-USDT BUY CLOSE 153.2100 -0.45725 0.45725 -0.45725 ADA-USDT & SOL-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-02 17:06:00 open_scaled_disequilibrium=2.191024540541887\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:42:00 COIN SELL CLOSE 245.5165 -0.279474 0.279474 -0.279474 COIN & BTC-USDT CLOSE\n", + "1 2025-06-02 17:42:00 BTC-USDT BUY CLOSE 104206.1700 -0.279474 0.279474 -0.279474 COIN & BTC-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 17:57:00 open_scaled_disequilibrium=2.1634960182138276\n", "OPEN TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 17:06:00 ADA-USDT BUY OPEN 0.6738 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", - "1 2025-06-02 17:06:00 SOL-USDT SELL OPEN 152.9000 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:57:00 COIN BUY OPEN 245.925 -2.163496 2.163496 -2.163496 COIN & BTC-USDT OPEN\n", + "1 2025-06-02 17:57:00 BTC-USDT SELL OPEN 104428.570 -2.163496 2.163496 -2.163496 COIN & BTC-USDT OPEN\n", "CLOSE TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 17:17:00 ADA-USDT SELL CLOSE 0.6726 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", - "1 2025-06-02 17:17:00 SOL-USDT BUY CLOSE 152.7800 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-02 17:24:00 open_scaled_disequilibrium=2.748538160528875\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 18:01:00 COIN SELL CLOSE 245.81 -0.257872 0.257872 -0.257872 COIN & BTC-USDT CLOSE\n", + "1 2025-06-02 18:01:00 BTC-USDT BUY CLOSE 104443.40 -0.257872 0.257872 -0.257872 COIN & BTC-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 18:09:00 open_scaled_disequilibrium=2.1234405231883753\n", "OPEN TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 17:24:00 ADA-USDT BUY OPEN 0.6755 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", - "1 2025-06-02 17:24:00 SOL-USDT SELL OPEN 153.5600 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 18:09:00 COIN SELL OPEN 245.45 2.123441 2.123441 2.123441 COIN & BTC-USDT OPEN\n", + "1 2025-06-02 18:09:00 BTC-USDT BUY OPEN 104414.61 2.123441 2.123441 2.123441 COIN & BTC-USDT OPEN\n", "CLOSE TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 17:35:00 ADA-USDT SELL CLOSE 0.6712 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", - "1 2025-06-02 17:35:00 SOL-USDT BUY CLOSE 153.0300 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-02 18:02:00 open_scaled_disequilibrium=2.0472288892294728\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 18:24:00 COIN BUY CLOSE 245.605 0.439477 0.439477 0.439477 COIN & BTC-USDT CLOSE\n", + "1 2025-06-02 18:24:00 BTC-USDT SELL CLOSE 104606.500 0.439477 0.439477 0.439477 COIN & BTC-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 18:57:00 open_scaled_disequilibrium=2.0780297645238033\n", "OPEN TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 18:02:00 ADA-USDT SELL OPEN 0.6741 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", - "1 2025-06-02 18:02:00 SOL-USDT BUY OPEN 153.5900 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", - "CLOSE TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 18:06:00 ADA-USDT BUY CLOSE 0.6746 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", - "1 2025-06-02 18:06:00 SOL-USDT SELL CLOSE 153.7900 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-02 19:35:00 open_scaled_disequilibrium=2.016877535891162\n", - "OPEN TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 19:35:00 ADA-USDT BUY OPEN 0.6719 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", - "1 2025-06-02 19:35:00 SOL-USDT SELL OPEN 151.9900 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", - "CLOSE TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 21:04:00 ADA-USDT SELL CLOSE 0.6845 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", - "1 2025-06-02 21:04:00 SOL-USDT BUY CLOSE 154.7200 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-02 21:33:00 open_scaled_disequilibrium=2.1162146947771068\n", - "OPEN TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 21:33:00 ADA-USDT SELL OPEN 0.6819 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", - "1 2025-06-02 21:33:00 SOL-USDT BUY OPEN 154.5100 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", - "CLOSE TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 21:40:00 ADA-USDT BUY CLOSE 0.6833 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", - "1 2025-06-02 21:40:00 SOL-USDT SELL CLOSE 154.9200 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", - "OPEN_TRADES: 2025-06-02 21:58:00 open_scaled_disequilibrium=2.0841568077931436\n", - "OPEN TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 21:58:00 ADA-USDT BUY OPEN 0.6842 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", - "1 2025-06-02 21:58:00 SOL-USDT SELL OPEN 155.2900 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", - "CLOSE TRADES:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 22:06:00 ADA-USDT SELL CLOSE 0.6887 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", - "1 2025-06-02 22:06:00 SOL-USDT BUY CLOSE 155.8300 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", - "***ADA-USDT & SOL-USDT*** FINISHED *** Num Trades:32\n", - "Generated 32 trading signals\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 18:57:00 COIN SELL OPEN 244.8101 2.07803 2.07803 2.07803 COIN & BTC-USDT OPEN\n", + "1 2025-06-02 18:57:00 BTC-USDT BUY OPEN 104305.8600 2.07803 2.07803 2.07803 COIN & BTC-USDT OPEN\n", + "STOP LOSS: -0.6816691524704548\n", + "STOP CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 19:59:00 COIN BUY CLOSE 246.76 1.943711 1.943711 1.943711 COIN & BTC-USDT CLOSE_STOP_LOSS\n", + "1 2025-06-02 19:59:00 BTC-USDT SELL CLOSE 104425.63 1.943711 1.943711 1.943711 COIN & BTC-USDT CLOSE_STOP_LOSS\n", + "***COIN & BTC-USDT*** FINISHED *** Num Trades:20\n", + "Generated 20 trading signals\n", "\n", "Strategy execution completed!\n", "\n", @@ -1775,46 +1605,34 @@ "text": [ "=== SLIDING FIT INTERACTIVE VISUALIZATION ===\n", "Note: Rolling Fit strategy visualization with interactive plotly charts\n", - "Using consistent timeline with 539 timestamps\n", + "Using consistent timeline with 575 timestamps\n", "Timeline range: 2025-06-02 13:30:00 to 2025-06-02 22:29:00\n", "\n", "Symbol_A trades:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "0 2025-06-02 15:31:00 ADA-USDT BUY OPEN 0.6733 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", - "2 2025-06-02 15:41:00 ADA-USDT SELL CLOSE 0.6735 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", - "4 2025-06-02 16:44:00 ADA-USDT BUY OPEN 0.6708 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", - "6 2025-06-02 17:01:00 ADA-USDT SELL CLOSE 0.6745 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", - "8 2025-06-02 17:06:00 ADA-USDT BUY OPEN 0.6738 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", - "10 2025-06-02 17:17:00 ADA-USDT SELL CLOSE 0.6726 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", - "12 2025-06-02 17:24:00 ADA-USDT BUY OPEN 0.6755 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", - "14 2025-06-02 17:35:00 ADA-USDT SELL CLOSE 0.6712 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", - "16 2025-06-02 18:02:00 ADA-USDT SELL OPEN 0.6741 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", - "18 2025-06-02 18:06:00 ADA-USDT BUY CLOSE 0.6746 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", - "20 2025-06-02 19:35:00 ADA-USDT BUY OPEN 0.6719 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", - "22 2025-06-02 21:04:00 ADA-USDT SELL CLOSE 0.6845 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", - "24 2025-06-02 21:33:00 ADA-USDT SELL OPEN 0.6819 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", - "26 2025-06-02 21:40:00 ADA-USDT BUY CLOSE 0.6833 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", - "28 2025-06-02 21:58:00 ADA-USDT BUY OPEN 0.6842 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", - "30 2025-06-02 22:06:00 ADA-USDT SELL CLOSE 0.6887 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 15:31:00 COIN SELL OPEN 245.6200 2.256414 2.256414 2.256414 COIN & BTC-USDT OPEN\n", + "2 2025-06-02 15:47:00 COIN BUY CLOSE 246.3500 -0.068025 0.068025 -0.068025 COIN & BTC-USDT CLOSE\n", + "4 2025-06-02 16:28:00 COIN BUY OPEN 245.9450 -2.048457 2.048457 -2.048457 COIN & BTC-USDT OPEN\n", + "6 2025-06-02 17:42:00 COIN SELL CLOSE 245.5165 -0.279474 0.279474 -0.279474 COIN & BTC-USDT CLOSE\n", + "8 2025-06-02 17:57:00 COIN BUY OPEN 245.9250 -2.163496 2.163496 -2.163496 COIN & BTC-USDT OPEN\n", + "10 2025-06-02 18:01:00 COIN SELL CLOSE 245.8100 -0.257872 0.257872 -0.257872 COIN & BTC-USDT CLOSE\n", + "12 2025-06-02 18:09:00 COIN SELL OPEN 245.4500 2.123441 2.123441 2.123441 COIN & BTC-USDT OPEN\n", + "14 2025-06-02 18:24:00 COIN BUY CLOSE 245.6050 0.439477 0.439477 0.439477 COIN & BTC-USDT CLOSE\n", + "16 2025-06-02 18:57:00 COIN SELL OPEN 244.8101 2.078030 2.078030 2.078030 COIN & BTC-USDT OPEN\n", + "18 2025-06-02 19:59:00 COIN BUY CLOSE 246.7600 1.943711 1.943711 1.943711 COIN & BTC-USDT CLOSE_STOP_LOSS\n", "\n", "Symbol_B trades:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "1 2025-06-02 15:31:00 SOL-USDT SELL OPEN 153.16 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", - "3 2025-06-02 15:41:00 SOL-USDT BUY CLOSE 153.08 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", - "5 2025-06-02 16:44:00 SOL-USDT SELL OPEN 152.47 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", - "7 2025-06-02 17:01:00 SOL-USDT BUY CLOSE 153.21 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", - "9 2025-06-02 17:06:00 SOL-USDT SELL OPEN 152.90 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", - "11 2025-06-02 17:17:00 SOL-USDT BUY CLOSE 152.78 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", - "13 2025-06-02 17:24:00 SOL-USDT SELL OPEN 153.56 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", - "15 2025-06-02 17:35:00 SOL-USDT BUY CLOSE 153.03 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", - "17 2025-06-02 18:02:00 SOL-USDT BUY OPEN 153.59 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", - "19 2025-06-02 18:06:00 SOL-USDT SELL CLOSE 153.79 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", - "21 2025-06-02 19:35:00 SOL-USDT SELL OPEN 151.99 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", - "23 2025-06-02 21:04:00 SOL-USDT BUY CLOSE 154.72 -0.316305 0.316305 -0.316305 ADA-USDT & SOL-USDT CLOSE\n", - "25 2025-06-02 21:33:00 SOL-USDT BUY OPEN 154.51 2.116215 2.116215 2.116215 ADA-USDT & SOL-USDT OPEN\n", - "27 2025-06-02 21:40:00 SOL-USDT SELL CLOSE 154.92 -0.195611 0.195611 -0.195611 ADA-USDT & SOL-USDT CLOSE\n", - "29 2025-06-02 21:58:00 SOL-USDT SELL OPEN 155.29 -2.084157 2.084157 -2.084157 ADA-USDT & SOL-USDT OPEN\n", - "31 2025-06-02 22:06:00 SOL-USDT BUY CLOSE 155.83 -0.396354 0.396354 -0.396354 ADA-USDT & SOL-USDT CLOSE\n" + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "1 2025-06-02 15:31:00 BTC-USDT BUY OPEN 104335.80 2.256414 2.256414 2.256414 COIN & BTC-USDT OPEN\n", + "3 2025-06-02 15:47:00 BTC-USDT SELL CLOSE 104360.01 -0.068025 0.068025 -0.068025 COIN & BTC-USDT CLOSE\n", + "5 2025-06-02 16:28:00 BTC-USDT SELL OPEN 104104.02 -2.048457 2.048457 -2.048457 COIN & BTC-USDT OPEN\n", + "7 2025-06-02 17:42:00 BTC-USDT BUY CLOSE 104206.17 -0.279474 0.279474 -0.279474 COIN & BTC-USDT CLOSE\n", + "9 2025-06-02 17:57:00 BTC-USDT SELL OPEN 104428.57 -2.163496 2.163496 -2.163496 COIN & BTC-USDT OPEN\n", + "11 2025-06-02 18:01:00 BTC-USDT BUY CLOSE 104443.40 -0.257872 0.257872 -0.257872 COIN & BTC-USDT CLOSE\n", + "13 2025-06-02 18:09:00 BTC-USDT BUY OPEN 104414.61 2.123441 2.123441 2.123441 COIN & BTC-USDT OPEN\n", + "15 2025-06-02 18:24:00 BTC-USDT SELL CLOSE 104606.50 0.439477 0.439477 0.439477 COIN & BTC-USDT CLOSE\n", + "17 2025-06-02 18:57:00 BTC-USDT BUY OPEN 104305.86 2.078030 2.078030 2.078030 COIN & BTC-USDT OPEN\n", + "19 2025-06-02 19:59:00 BTC-USDT SELL CLOSE 104425.63 1.943711 1.943711 1.943711 COIN & BTC-USDT CLOSE_STOP_LOSS\n" ] }, { @@ -1833,6 +1651,126 @@ "opacity": 0.8, "type": "scatter", "x": [ + "NaT", + "NaT", + "NaT", + "NaT", + "NaT", + "NaT", + "NaT", + "NaT", + 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Time: 2025-06-02 18:24:00
Normalized Price: 0.9944
Actual Price: $245.60", + "COIN BUY CLOSE_STOP_LOSS
Time: 2025-06-02 19:59:00
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Time: 2025-06-02 15:47:00
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Time: 2025-06-02 16:28:00
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Time: 2025-06-02 17:57:00
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"dtype": "f8" }, "yaxis": "y4" @@ -5435,16 +4947,17 @@ "symbol": "triangle-up" }, "mode": "markers", - "name": "SOL-USDT BUY OPEN", + "name": "BTC-USDT BUY OPEN", "showlegend": true, "type": "scatter", "x": [ - "2025-06-02T18:02:00.000000000", - "2025-06-02T21:33:00.000000000" + "2025-06-02T15:31:00.000000000", + "2025-06-02T18:09:00.000000000", + "2025-06-02T18:57:00.000000000" ], "xaxis": "x4", "y": { - "bdata": "exSuR+EyY0C4HoXrUVBjQA==", + "bdata": "zczMzPx4+UApXI/C6X35QClcj8Idd/lA", "dtype": "f8" }, "yaxis": "y4" @@ -5456,20 +4969,16 @@ "symbol": "square" }, "mode": "markers", - "name": "SOL-USDT BUY CLOSE", + "name": "BTC-USDT BUY CLOSE", "showlegend": true, "type": "scatter", "x": [ - "2025-06-02T15:41:00.000000000", - "2025-06-02T17:01:00.000000000", - "2025-06-02T17:17:00.000000000", - "2025-06-02T17:35:00.000000000", - "2025-06-02T21:04:00.000000000", - "2025-06-02T22:06:00.000000000" + "2025-06-02T17:42:00.000000000", + "2025-06-02T18:01:00.000000000" ], "xaxis": "x4", "y": 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"2025-06-02T21:40:00.000000000" + "2025-06-02T15:47:00.000000000", + "2025-06-02T18:24:00.000000000", + "2025-06-02T19:59:00.000000000" ], "xaxis": "x4", "y": { - "bdata": "4XoUrkc5Y0A9CtejcF1jQA==", + "bdata": "j8L1KIB6+UAAAAAA6In5QEjhehSafvlA", "dtype": "f8" }, "yaxis": "y4" @@ -5541,7 +5047,7 @@ "size": 16 }, "showarrow": false, - "text": "Normalized Price Comparison with BUY/SELL Signals - ADA-USDT&SOL-USDT (2025-06-02)", + "text": "Normalized Price Comparison with BUY/SELL Signals - COIN&BTC-USDT (2025-06-02)", "x": 0.5, "xanchor": "center", "xref": "paper", @@ -5554,7 +5060,7 @@ "size": 16 }, "showarrow": false, - "text": "ADA-USDT Market Data with Trading Signals (2025-06-02)", + "text": "COIN Market Data with Trading Signals (2025-06-02)", "x": 0.5, "xanchor": "center", "xref": "paper", @@ -5567,7 +5073,7 @@ "size": 16 }, "showarrow": false, - "text": "SOL-USDT Market Data with Trading Signals (2025-06-02)", + "text": "BTC-USDT Market Data with Trading Signals (2025-06-02)", "x": 0.5, "xanchor": "center", "xref": "paper", @@ -6433,7 +5939,7 @@ } }, "title": { - "text": "Strategy Analysis - ADA-USDT & SOL-USDT (2025-06-02)" + "text": "Strategy Analysis - COIN & BTC-USDT (2025-06-02)" }, "xaxis": { "anchor": "y", @@ -6499,7 +6005,7 @@ 0.7350000000000001 ], "title": { - "text": "ADA-USDT Price ($)" + "text": "COIN Price ($)" } }, "yaxis3": { @@ -6509,7 +6015,7 @@ 0.47000000000000003 ], "title": { - "text": "SOL-USDT Price ($)" + "text": "BTC-USDT Price ($)" } }, "yaxis4": { @@ -6526,9 +6032,9 @@ }, "text/html": [ "
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2.161294 -2.161294 COIN & MSTR OPEN\n", - "10 2025-06-02 19:13:00 COIN SELL CLOSE 244.5300 -0.120186 0.990483 -0.990483 COIN & MSTR CLOSE\n", - "12 2025-06-02 19:50:00 COIN SELL OPEN 245.5850 1.448922 2.364919 2.364919 COIN & MSTR OPEN\n", - "14 2025-06-02 22:01:00 COIN BUY CLOSE 247.5000 2.016841 1.115961 1.115961 COIN & MSTR CLOSE_POSITION\n", - "\n", - "Symbol_B trades:\n", - " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "1 2025-06-02 16:05:00 MSTR SELL OPEN 376.8400 -1.083223 2.422412 -2.422412 COIN & MSTR OPEN\n", - "3 2025-06-02 16:21:00 MSTR BUY CLOSE 375.5791 -0.009447 0.066163 -0.066163 COIN & MSTR CLOSE\n", - "5 2025-06-02 16:29:00 MSTR BUY OPEN 373.0000 0.998415 2.180170 2.180170 COIN & MSTR OPEN\n", - "7 2025-06-02 16:58:00 MSTR SELL CLOSE 374.1100 0.510322 0.871947 0.871947 COIN & MSTR CLOSE\n", - "9 2025-06-02 18:29:00 MSTR SELL OPEN 374.0500 -0.873764 2.161294 -2.161294 COIN & MSTR OPEN\n", - "11 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"title": { - "text": "COIN Price ($)" - } - }, - "yaxis3": { - "anchor": "x3", - "domain": [ - 0.183, - 0.306 - ], - "title": { - "text": "MSTR Price ($)" - } - }, - "yaxis4": { - "anchor": "x4", - "domain": [ - 0, - 0.123 - ], - "title": { - "text": "Normalized Price (Base = 1.0)" - } - } - } - }, - "text/html": [ - "
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BUY COIN @ $246.74 at 2025-06-02 16:05:00\n", - " 2. SELL MSTR @ $376.84 at 2025-06-02 16:05:00\n", - " 3. SELL COIN @ $246.78 at 2025-06-02 16:21:00\n", - " 4. BUY MSTR @ $375.58 at 2025-06-02 16:21:00\n", - " 5. SELL COIN @ $246.26 at 2025-06-02 16:29:00\n", - " 6. BUY MSTR @ $373.00 at 2025-06-02 16:29:00\n", - " ... and 10 more signals\n", - "\n", - "================================================================================\n", - "\n", - "Detailed Trading Signals:\n", - "Time Action Symbol Price Scaled Dis-eq Status \n", - "------------------------------------------------------------------------------------------\n", - "2025-06-02 16:05:00 OPEN COIN $246.74 2.422 OPEN \n", - "2025-06-02 16:05:00 OPEN MSTR $376.84 2.422 OPEN \n", - "2025-06-02 16:21:00 CLOSE COIN $246.78 0.066 CLOSE \n", - "2025-06-02 16:21:00 CLOSE MSTR $375.58 0.066 CLOSE \n", - "2025-06-02 16:29:00 OPEN COIN $246.26 2.180 OPEN \n", - "2025-06-02 16:29:00 OPEN MSTR $373.00 2.180 OPEN \n", - "2025-06-02 16:58:00 CLOSE COIN $246.81 0.872 CLOSE \n", - "2025-06-02 16:58:00 CLOSE MSTR $374.11 0.872 CLOSE \n", - "2025-06-02 18:29:00 OPEN COIN $245.57 2.161 OPEN \n", - "2025-06-02 18:29:00 OPEN MSTR $374.05 2.161 OPEN \n", - "... and 6 more trading signals\n", - "\n", - " -------------- Suggested Trades \n", - " symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", - "time \n", - "2025-06-02 16:05:00 COIN BUY OPEN 246.7400 -1.083223 2.422412 -2.422412 COIN & MSTR OPEN\n", - "2025-06-02 16:05:00 MSTR SELL OPEN 376.8400 -1.083223 2.422412 -2.422412 COIN & MSTR OPEN\n", - "2025-06-02 16:21:00 COIN SELL CLOSE 246.7800 -0.009447 0.066163 -0.066163 COIN & MSTR CLOSE\n", - "2025-06-02 16:21:00 MSTR BUY CLOSE 375.5791 -0.009447 0.066163 -0.066163 COIN & MSTR CLOSE\n", - "2025-06-02 16:29:00 COIN SELL OPEN 246.2600 0.998415 2.180170 2.180170 COIN & MSTR OPEN\n", - "2025-06-02 16:29:00 MSTR BUY OPEN 373.0000 0.998415 2.180170 2.180170 COIN & MSTR OPEN\n", - "2025-06-02 16:58:00 COIN BUY CLOSE 246.8143 0.510322 0.871947 0.871947 COIN & MSTR CLOSE\n", - "2025-06-02 16:58:00 MSTR SELL CLOSE 374.1100 0.510322 0.871947 0.871947 COIN & MSTR CLOSE\n", - "2025-06-02 18:29:00 COIN BUY OPEN 245.5700 -0.873764 2.161294 -2.161294 COIN & MSTR OPEN\n", - "2025-06-02 18:29:00 MSTR SELL OPEN 374.0500 -0.873764 2.161294 -2.161294 COIN & MSTR OPEN\n", - "2025-06-02 19:13:00 COIN SELL CLOSE 244.5300 -0.120186 0.990483 -0.990483 COIN & MSTR CLOSE\n", - "2025-06-02 19:13:00 MSTR BUY CLOSE 372.6200 -0.120186 0.990483 -0.990483 COIN & MSTR CLOSE\n", - "2025-06-02 19:50:00 COIN SELL OPEN 245.5850 1.448922 2.364919 2.364919 COIN & MSTR OPEN\n", - "2025-06-02 19:50:00 MSTR BUY OPEN 371.6500 1.448922 2.364919 2.364919 COIN & MSTR OPEN\n", - "2025-06-02 22:01:00 COIN BUY CLOSE 247.5000 2.016841 1.115961 1.115961 COIN & MSTR CLOSE_POSITION\n", - "2025-06-02 22:01:00 MSTR SELL CLOSE 374.2000 2.016841 1.115961 1.115961 COIN & MSTR CLOSE_POSITION\n", - "\n", - "====== Returns By Day and Pair ======\n", - "\n", - "--- 20250602-COIN & MSTR ---\n", - "COIN & MSTR:\n", - " 16:05:00 COIN: BUY @ $246.74, SELL @ $246.78, Return: 0.02% | Open Dis-eq: 2.42,\n", - " 16:05:00 MSTR: SELL @ $376.84, BUY @ $375.58, Return: 0.33% | Open Dis-eq: 2.42,\n", - " 16:29:00 COIN: SELL @ $246.26, BUY @ $246.81, Return: -0.23% | Open Dis-eq: 2.18,\n", - " 16:29:00 MSTR: BUY @ $373.00, SELL @ $374.11, Return: 0.30% | Open Dis-eq: 2.18,\n", - " 18:29:00 COIN: BUY @ $245.57, SELL @ $244.53, Return: -0.42% | Open Dis-eq: 2.16,\n", - " 18:29:00 MSTR: SELL @ $374.05, BUY @ $372.62, Return: 0.38% | Open Dis-eq: 2.16,\n", - " 19:50:00 COIN: SELL @ $245.59, BUY @ $247.50, Return: -0.78% | Open Dis-eq: 2.36,\n", - " 19:50:00 MSTR: BUY @ $371.65, SELL @ $374.20, Return: 0.69% | Open Dis-eq: 2.36,\n", - " Pair Total Return: 0.29%\n", - " Day Total Return: 0.29%\n", - "\n", - "====== GRAND TOTALS ACROSS ALL PAIRS ======\n", - "Total Realized PnL: 0.29%\n", - "\n", - "====== NO OUTSTANDING POSITIONS ======\n", - "\n", - "================================================================================\n" - ] - } - ], + "outputs": [], "source": [ "setup()\n", "load_config_from_file()\n", From c2f701e3a2c0cd123bc1415d8a4bea89c7024cff Mon Sep 17 00:00:00 2001 From: Oleg Sheynin Date: Fri, 25 Jul 2025 20:20:23 +0000 Subject: [PATCH 24/25] progress --- README.md | 2 +- configuration/vecm.cfg | 4 +- configuration/zscore.cfg | 2 +- lib/pt_trading/fit_method.py | 6 +- lib/pt_trading/results.py | 4 +- lib/pt_trading/rolling_window_fit.py | 7 +- lib/pt_trading/trading_pair.py | 44 +- lib/pt_trading/vecm_rolling_fit.py | 39 +- lib/pt_trading/z-score_rolling_fit.py | 41 +- lib/tools/data_loader.py | 7 +- research/cointegration_test.py | 4 +- research/notebooks/single_pair_test.ipynb | 5632 ++++++++++++++++++++- research/pt_backtest.py | 4 - research/research_tools.py | 2 - strategy/pair_strategy.py | 4 - 15 files changed, 5693 insertions(+), 109 deletions(-) diff --git a/README.md b/README.md index 251d9d2..e4ac969 100644 --- a/README.md +++ b/README.md @@ -43,7 +43,7 @@ Each configuration dictionary specifies: - `db_table_name`: The name of the table within the SQLite database. - `instruments`: A list of symbols to consider for forming trading pairs. - `trading_hours`: Defines the session start and end times, crucial for equity markets. -- `price_column`: The column in the data to be used as the price (e.g., "close"). +- `stat_model_price`: The column in the data to be used as the price (e.g., "close"). - `dis-equilibrium_open_trshld`: The threshold (in standard deviations) of the dis-equilibrium for opening a trade. - `dis-equilibrium_close_trshld`: The threshold (in standard deviations) of the dis-equilibrium for closing an open trade. - `training_minutes`: The length of the rolling window (in minutes) used to train the model (e.g., calculate cointegration, mean, and standard deviation of the dis-equilibrium). diff --git a/configuration/vecm.cfg b/configuration/vecm.cfg index 0c077ce..babe6e4 100644 --- a/configuration/vecm.cfg +++ b/configuration/vecm.cfg @@ -16,8 +16,8 @@ "funding_per_pair": 2000.0, # ====== Trading Parameters ====== - # "price_column": "close", - "price_column": "vwap", + # "stat_model_price": "close", + "stat_model_price": "vwap", "execution_price": { "column": "vwap", diff --git a/configuration/zscore.cfg b/configuration/zscore.cfg index 402f60a..92b5187 100644 --- a/configuration/zscore.cfg +++ b/configuration/zscore.cfg @@ -15,7 +15,7 @@ # ====== Funding ====== "funding_per_pair": 2000.0, # ====== Trading Parameters ====== - "price_column": "close", + "stat_model_price": "close", "execution_price": { "column": "vwap", "shift": 1, diff --git a/lib/pt_trading/fit_method.py b/lib/pt_trading/fit_method.py index 36dc994..934da1b 100644 --- a/lib/pt_trading/fit_method.py +++ b/lib/pt_trading/fit_method.py @@ -43,6 +43,10 @@ class PairsTradingFitMethod(ABC): @abstractmethod def create_trading_pair( - self, config: Dict, market_data: pd.DataFrame, symbol_a: str, symbol_b: str, price_column: str + self, + config: Dict, + market_data: pd.DataFrame, + symbol_a: str, + symbol_b: str, ) -> TradingPair: ... diff --git a/lib/pt_trading/results.py b/lib/pt_trading/results.py index 2c7076b..c30bfa7 100644 --- a/lib/pt_trading/results.py +++ b/lib/pt_trading/results.py @@ -431,7 +431,7 @@ class BacktestResult: f" Close Dis-eq: {trd['open_scaled_disequilibrium']:.2f}" print( - f" {trd['open_time'].time()} {trd['symbol']}: " + f" {trd['open_time'].time()}-{trd['close_time'].time()} {trd['symbol']}: " f" {trd['open_side']} @ ${trd['open_price']:.2f}," f" {trd["close_side"]} @ ${trd["close_price"]:.2f}," f" Return: {trd['symbol_return']:.2f}%{disequil_info}" @@ -552,7 +552,7 @@ class BacktestResult: last_row = pair_result_df.loc[last_row_index] last_tstamp = last_row["tstamp"] - colname_a, colname_b = pair.colnames() + colname_a, colname_b = pair.exec_prices_colnames() last_px_a = last_row[colname_a] last_px_b = last_row[colname_b] diff --git a/lib/pt_trading/rolling_window_fit.py b/lib/pt_trading/rolling_window_fit.py index ee3ca8b..debf63e 100644 --- a/lib/pt_trading/rolling_window_fit.py +++ b/lib/pt_trading/rolling_window_fit.py @@ -146,7 +146,7 @@ class RollingFit(PairsTradingFitMethod): print(f"{pair}: *** Position is NOT CLOSED. ***") # outstanding positions if config["close_outstanding_positions"]: - close_position_row = pair.market_data_.iloc[-1] + close_position_row = pd.Series(pair.market_data_.iloc[-2]) close_position_row["disequilibrium"] = 0.0 close_position_row["scaled_disequilibrium"] = 0.0 close_position_row["signed_scaled_disequilibrium"] = 0.0 @@ -176,9 +176,10 @@ class RollingFit(PairsTradingFitMethod): def _get_open_trades( self, pair: TradingPair, row: pd.Series, open_threshold: float ) -> Optional[pd.DataFrame]: - colname_a, colname_b = pair.colnames() + colname_a, colname_b = pair.exec_prices_colnames() open_row = row + open_tstamp = open_row["tstamp"] open_disequilibrium = open_row["disequilibrium"] open_scaled_disequilibrium = open_row["scaled_disequilibrium"] @@ -257,7 +258,7 @@ class RollingFit(PairsTradingFitMethod): def _get_close_trades( self, pair: TradingPair, row: pd.Series, close_threshold: float ) -> Optional[pd.DataFrame]: - colname_a, colname_b = pair.colnames() + colname_a, colname_b = pair.exec_prices_colnames() close_row = row close_tstamp = close_row["tstamp"] diff --git a/lib/pt_trading/trading_pair.py b/lib/pt_trading/trading_pair.py index 54d9b82..33d53ea 100644 --- a/lib/pt_trading/trading_pair.py +++ b/lib/pt_trading/trading_pair.py @@ -73,7 +73,7 @@ class TradingPair(ABC): market_data_: pd.DataFrame symbol_a_: str symbol_b_: str - price_column_: str + stat_model_price_: str training_mu_: float training_std_: float @@ -91,17 +91,17 @@ class TradingPair(ABC): market_data: pd.DataFrame, symbol_a: str, symbol_b: str, - price_column: str, ): self.symbol_a_ = symbol_a self.symbol_b_ = symbol_b - self.price_column_ = price_column - self.set_market_data(market_data) + self.stat_model_price_ = config["stat_model_price"] self.user_data_ = {} self.predicted_df_ = None self.config_ = config - def set_market_data(self, market_data: pd.DataFrame) -> None: + self._set_market_data(market_data) + + def _set_market_data(self, market_data: pd.DataFrame) -> None: self.market_data_ = pd.DataFrame( self._transform_dataframe(market_data)[["tstamp"] + self.colnames()] ) @@ -109,6 +109,22 @@ class TradingPair(ABC): self.market_data_ = self.market_data_.dropna().reset_index(drop=True) self.market_data_["tstamp"] = pd.to_datetime(self.market_data_["tstamp"]) self.market_data_ = self.market_data_.sort_values("tstamp") + self._set_execution_price_data() + pass + + def _set_execution_price_data(self) -> None: + if "execution_price" not in self.config_: + self.market_data_[f"exec_price_{self.symbol_a_}"] = self.market_data_[f"{self.stat_model_price_}_{self.symbol_a_}"] + self.market_data_[f"exec_price_{self.symbol_b_}"] = self.market_data_[f"{self.stat_model_price_}_{self.symbol_b_}"] + return + execution_price_column = self.config_["execution_price"]["column"] + execution_price_shift = self.config_["execution_price"]["shift"] + self.market_data_[f"exec_price_{self.symbol_a_}"] = self.market_data_[f"{self.stat_model_price_}_{self.symbol_a_}"].shift(-execution_price_shift) + self.market_data_[f"exec_price_{self.symbol_b_}"] = self.market_data_[f"{self.stat_model_price_}_{self.symbol_b_}"].shift(-execution_price_shift) + self.market_data_ = self.market_data_.dropna().reset_index(drop=True) + + + def get_begin_index(self) -> int: if "trading_hours" not in self.config_: @@ -139,7 +155,7 @@ class TradingPair(ABC): def _transform_dataframe(self, df: pd.DataFrame) -> pd.DataFrame: # Select only the columns we need df_selected: pd.DataFrame = pd.DataFrame( - df[["tstamp", "symbol", self.price_column_]] + df[["tstamp", "symbol", self.stat_model_price_]] ) # Start with unique timestamps @@ -157,13 +173,13 @@ class TradingPair(ABC): ) # Create column name like "close-COIN" - new_price_column = f"{self.price_column_}_{symbol}" + new_price_column = f"{self.stat_model_price_}_{symbol}" # Create temporary dataframe with timestamp and price temp_df = pd.DataFrame( { "tstamp": df_symbol["tstamp"], - new_price_column: df_symbol[self.price_column_], + new_price_column: df_symbol[self.stat_model_price_], } ) @@ -201,8 +217,14 @@ class TradingPair(ABC): def colnames(self) -> List[str]: return [ - f"{self.price_column_}_{self.symbol_a_}", - f"{self.price_column_}_{self.symbol_b_}", + f"{self.stat_model_price_}_{self.symbol_a_}", + f"{self.stat_model_price_}_{self.symbol_b_}", + ] + + def exec_prices_colnames(self) -> List[str]: + return [ + f"exec_price_{self.symbol_a_}", + f"exec_price_{self.symbol_b_}", ] def add_trades(self, trades: pd.DataFrame) -> None: @@ -331,7 +353,7 @@ class TradingPair(ABC): instrument_open_price = instrument_open_trades["price"].iloc[0] sign = -1 if instrument_open_trades["side"].iloc[0] == "SELL" else 1 - instrument_price = predicted_row[f"{self.price_column_}_{symbol}"] + instrument_price = predicted_row[f"{self.stat_model_price_}_{symbol}"] instrument_return = ( sign * (instrument_price - instrument_open_price) diff --git a/lib/pt_trading/vecm_rolling_fit.py b/lib/pt_trading/vecm_rolling_fit.py index 1145d7e..be97299 100644 --- a/lib/pt_trading/vecm_rolling_fit.py +++ b/lib/pt_trading/vecm_rolling_fit.py @@ -7,15 +7,23 @@ from pt_trading.trading_pair import TradingPair from statsmodels.tsa.vector_ar.vecm import VECM, VECMResults NanoPerMin = 1e9 + + class VECMTradingPair(TradingPair): vecm_fit_: Optional[VECMResults] pair_predict_result_: Optional[pd.DataFrame] - - def __init__(self, config: Dict[str, Any], market_data: pd.DataFrame, symbol_a: str, symbol_b: str, price_column: str): - super().__init__(config, market_data, symbol_a, symbol_b, price_column) + + def __init__( + self, + config: Dict[str, Any], + market_data: pd.DataFrame, + symbol_a: str, + symbol_b: str, + ): + super().__init__(config, market_data, symbol_a, symbol_b) self.vecm_fit_ = None self.pair_predict_result_ = None - + def _train_pair(self) -> None: self._fit_VECM() assert self.vecm_fit_ is not None @@ -51,7 +59,7 @@ class VECMTradingPair(TradingPair): def predict(self) -> pd.DataFrame: self._train_pair() - + assert self.testing_df_ is not None assert self.vecm_fit_ is not None predicted_prices = self.vecm_fit_.predict(steps=len(self.testing_df_)) @@ -79,31 +87,36 @@ class VECMTradingPair(TradingPair): predicted_df["disequilibrium"] - self.training_mu_ ) / self.training_std_ - predicted_df["scaled_disequilibrium"] = ( - abs(predicted_df["signed_scaled_disequilibrium"]) + predicted_df["scaled_disequilibrium"] = abs( + predicted_df["signed_scaled_disequilibrium"] ) - + predicted_df = predicted_df.reset_index(drop=True) if self.pair_predict_result_ is None: self.pair_predict_result_ = predicted_df else: - self.pair_predict_result_ = pd.concat([self.pair_predict_result_, predicted_df], ignore_index=True) - # Reset index to ensure proper indexing + self.pair_predict_result_ = pd.concat( + [self.pair_predict_result_, predicted_df], ignore_index=True + ) + # Reset index to ensure proper indexing self.pair_predict_result_ = self.pair_predict_result_.reset_index(drop=True) return self.pair_predict_result_ - + class VECMRollingFit(RollingFit): def __init__(self) -> None: super().__init__() def create_trading_pair( - self, config: Dict, market_data: pd.DataFrame, symbol_a: str, symbol_b: str, price_column: str + self, + config: Dict, + market_data: pd.DataFrame, + symbol_a: str, + symbol_b: str, ) -> TradingPair: return VECMTradingPair( config=config, market_data=market_data, symbol_a=symbol_a, symbol_b=symbol_b, - price_column=price_column ) diff --git a/lib/pt_trading/z-score_rolling_fit.py b/lib/pt_trading/z-score_rolling_fit.py index 814ca0d..33011fc 100644 --- a/lib/pt_trading/z-score_rolling_fit.py +++ b/lib/pt_trading/z-score_rolling_fit.py @@ -7,24 +7,34 @@ from pt_trading.trading_pair import TradingPair import statsmodels.api as sm NanoPerMin = 1e9 + + class ZScoreTradingPair(TradingPair): zscore_model_: Optional[sm.regression.linear_model.RegressionResultsWrapper] pair_predict_result_: Optional[pd.DataFrame] zscore_df_: Optional[pd.DataFrame] - - def __init__(self, config: Dict[str, Any], market_data: pd.DataFrame, symbol_a: str, symbol_b: str, price_column: str): - super().__init__(config, market_data, symbol_a, symbol_b, price_column) + + def __init__( + self, + config: Dict[str, Any], + market_data: pd.DataFrame, + symbol_a: str, + symbol_b: str, + ): + super().__init__(config, market_data, symbol_a, symbol_b) self.zscore_model_ = None self.pair_predict_result_ = None self.zscore_df_ = None - + def _fit_zscore(self) -> None: assert self.training_df_ is not None symbol_a_px_series = self.training_df_[self.colnames()].iloc[:, 0] symbol_b_px_series = self.training_df_[self.colnames()].iloc[:, 1] - - symbol_a_px_series,symbol_b_px_series = symbol_a_px_series.align(symbol_b_px_series, axis=0) - + + symbol_a_px_series, symbol_b_px_series = symbol_a_px_series.align( + symbol_b_px_series, axis=0 + ) + X = sm.add_constant(symbol_b_px_series) self.zscore_model_ = sm.OLS(symbol_a_px_series, X).fit() assert self.zscore_model_ is not None @@ -32,14 +42,14 @@ class ZScoreTradingPair(TradingPair): # Calculate spread and Z-score spread = symbol_a_px_series - hedge_ratio * symbol_b_px_series - self.zscore_df_ = (spread - spread.mean()) / spread.std() + self.zscore_df_ = (spread - spread.mean()) / spread.std() def predict(self) -> pd.DataFrame: self._fit_zscore() assert self.zscore_df_ is not None self.training_df_["dis-equilibrium"] = self.zscore_df_ self.training_df_["scaled_dis-equilibrium"] = abs(self.zscore_df_) - + assert self.testing_df_ is not None assert self.zscore_df_ is not None predicted_df = self.testing_df_ @@ -47,28 +57,29 @@ class ZScoreTradingPair(TradingPair): predicted_df["disequilibrium"] = self.zscore_df_ predicted_df["signed_scaled_disequilibrium"] = self.zscore_df_ predicted_df["scaled_disequilibrium"] = abs(self.zscore_df_) - + predicted_df = predicted_df.reset_index(drop=True) if self.pair_predict_result_ is None: self.pair_predict_result_ = predicted_df else: - self.pair_predict_result_ = pd.concat([self.pair_predict_result_, predicted_df], ignore_index=True) - # Reset index to ensure proper indexing + self.pair_predict_result_ = pd.concat( + [self.pair_predict_result_, predicted_df], ignore_index=True + ) + # Reset index to ensure proper indexing self.pair_predict_result_ = self.pair_predict_result_.reset_index(drop=True) return self.pair_predict_result_.dropna() - + class ZScoreRollingFit(RollingFit): def __init__(self) -> None: super().__init__() def create_trading_pair( - self, config: Dict, market_data: pd.DataFrame, symbol_a: str, symbol_b: str, price_column: str + self, config: Dict, market_data: pd.DataFrame, symbol_a: str, symbol_b: str ) -> TradingPair: return ZScoreTradingPair( config=config, market_data=market_data, symbol_a=symbol_a, symbol_b=symbol_b, - price_column=price_column ) diff --git a/lib/tools/data_loader.py b/lib/tools/data_loader.py index 8bd0a40..ff546ea 100644 --- a/lib/tools/data_loader.py +++ b/lib/tools/data_loader.py @@ -28,13 +28,14 @@ def load_sqlite_to_dataframe(db_path:str, query:str) -> pd.DataFrame: conn.close() -def convert_time_to_UTC(value: str, timezone: str) -> str: +def convert_time_to_UTC(value: str, timezone: str, extra_minutes: int = 0) -> str: from zoneinfo import ZoneInfo - from datetime import datetime + from datetime import datetime, timedelta # Parse it to naive datetime object local_dt = datetime.strptime(value, "%Y-%m-%d %H:%M:%S") + local_dt = local_dt + timedelta(minutes=extra_minutes) zinfo = ZoneInfo(timezone) result: datetime = local_dt.replace(tzinfo=zinfo).astimezone(ZoneInfo("UTC")) @@ -85,7 +86,7 @@ def load_market_data( f"{date_str} {trading_hours['begin_session']}", trading_hours["timezone"] ) end_time = convert_time_to_UTC( - f"{date_str} {trading_hours['end_session']}", trading_hours["timezone"] + f"{date_str} {trading_hours['end_session']}", trading_hours["timezone"], extra_minutes=2 # to get execution price ) # Perform boolean selection diff --git a/research/cointegration_test.py b/research/cointegration_test.py index 675fe61..262c736 100644 --- a/research/cointegration_test.py +++ b/research/cointegration_test.py @@ -85,7 +85,7 @@ def main() -> None: # ) # Process each data file - price_column = config["price_column"] + stat_model_price = config["stat_model_price"] print(f"\n====== Processing {os.path.basename(datafile)} ======") @@ -105,7 +105,7 @@ def main() -> None: # Process data for this file try: cointegration_data: pd.DataFrame = pd.DataFrame() - for pair in create_pairs(datafile, price_column, config, instruments): + for pair in create_pairs(datafile, stat_model_price, config, instruments): cointegration_data = pd.concat([cointegration_data, pair.cointegration_check()]) pd.set_option('display.width', 400) diff --git a/research/notebooks/single_pair_test.ipynb b/research/notebooks/single_pair_test.ipynb index 5446397..3117e45 100644 --- a/research/notebooks/single_pair_test.ipynb +++ b/research/notebooks/single_pair_test.ipynb @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -40,7 +40,7 @@ "ROOT_DIR = \"/home/oleg/develop/pairs_trading\"\n", "os.chdir(ROOT_DIR)\n", "\n", - "CONFIG_FILE = f\"{ROOT_DIR}/configuration/vecm.cfg\"\n", + "CONFIG_FILE = f\"{ROOT_DIR}/configuration/zscore.cfg\"\n", "\n", "# Date for data file selection (format: YYYYMMDD)\n", "TRADING_DATE = \"20250602\" # Change this to your desired date\n", @@ -65,20 +65,20 @@ "\n", "# ================================ C R Y P T O ================================\n", "\n", - "# INSTRUMENTS = {\n", - "# \"A\": {\n", - "# \"symbol\": \"ADA-USDT\",\n", - "# \"exchange_id\": \"BNBSPOT\",\n", - "# \"instrument_type\": \"CRYPTO\",\n", - "# \"instrument_id_pfx\": \"PAIR-\",\n", - "# },\n", - "# \"B\": {\n", - "# \"symbol\": \"SOL-USDT\",\n", - "# \"exchange_id\": \"BNBSPOT\",\n", - "# \"instrument_type\": \"CRYPTO\",\n", - "# \"instrument_id_pfx\": \"PAIR-\",\n", - "# },\n", - "# }\n", + "INSTRUMENTS = {\n", + " \"A\": {\n", + " \"symbol\": \"ADA-USDT\",\n", + " \"exchange_id\": \"BNBSPOT\",\n", + " \"instrument_type\": \"CRYPTO\",\n", + " \"instrument_id_pfx\": \"PAIR-\",\n", + " },\n", + " \"B\": {\n", + " \"symbol\": \"SOL-USDT\",\n", + " \"exchange_id\": \"BNBSPOT\",\n", + " \"instrument_type\": \"CRYPTO\",\n", + " \"instrument_id_pfx\": \"PAIR-\",\n", + " },\n", + "}\n", "# Trading pair symbols\n", "# ================================ C R Y P T O ================================\n", "\n", @@ -121,7 +121,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -165,7 +165,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -246,7 +246,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -324,9 +324,212 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setup complete!\n", + "Current working directory: /home/oleg\n", + "Trading Parameters:\n", + " Configuration: /home/oleg/develop/pairs_trading/configuration/zscore.cfg\n", + " Symbol A: ADA-USDT\n", + " Symbol B: SOL-USDT\n", + " Trading Date: 2025-06-02\n", + "\n", + "Loading /home/oleg/develop/pairs_trading/configuration/zscore.cfg configuration using HJSON...\n", + "✓ Successfully loaded configuration\n", + " Training window: 120 minutes\n", + " Open threshold: 2\n", + " Close threshold: 0.5\n", + "Fit Model: pt_trading.z-score_rolling_fit.ZScoreRollingFit\n", + "Load configuration SUCCESS\n", + " Fit Method: ZScoreRollingFit\n", + "\n", + "Data Configuration:\n", + " Data File: 20250602.mktdata.ohlcv.db\n", + " ✓ Data file found: ./data/crypto/20250602.mktdata.ohlcv.db\n", + "\n", + "Created trading pair: ADA-USDT & SOL-USDT\n", + "Market data shape: (540, 5)\n", + "Column names: ['close_ADA-USDT', 'close_SOL-USDT']\n", + "\n", + "Sample data:\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " tstamp close_ADA-USDT close_SOL-USDT exec_price_ADA-USDT exec_price_SOL-USDT\n", + "535 2025-06-02 22:26:00 0.6917 156.72 0.6909 156.57\n", + "536 2025-06-02 22:27:00 0.6909 156.57 0.6908 156.65\n", + "537 2025-06-02 22:28:00 0.6908 156.65 0.6910 156.75\n", + "538 2025-06-02 22:29:00 0.6910 156.75 0.6908 156.70\n", + "539 2025-06-02 22:30:00 0.6908 156.70 0.6902 156.63" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "\n", "def prepare_market_data() -> None: # Load market data\n", @@ -348,7 +551,6 @@ " pairs = create_pairs(\n", " datafiles=PT_BT_CONFIG[\"datafiles\"],\n", " fit_method=PairsTradingFitMethod.create(PT_BT_CONFIG),\n", - " price_column=PT_BT_CONFIG[\"price_column\"],\n", " config=PT_BT_CONFIG,\n", " instruments=list(INSTRUMENTS.values()),\n", " )\n", @@ -385,7 +587,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -430,7 +632,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -522,7 +724,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -593,7 +795,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -1104,7 +1306,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -1174,7 +1376,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -1214,7 +1416,34 @@ "\n", " # bt_result.print_grand_totals()\n", " # bt_result.print_outstanding_positions() \n", + " else:\n", + " print(f\"\\nNo trading signals generated\")\n", + " print(f\"Backtest completed with no trades\")\n", + " \n", + " # Still print any outstanding information\n", + " print(f\"\\nConfiguration Summary:\")\n", + " print(f\" Pair: {SYMBOL_A} & {SYMBOL_B}\")\n", + " print(f\" Strategy: {FIT_METHOD_TYPE}\")\n", + " print(f\" Open threshold: {PT_BT_CONFIG['dis-equilibrium_open_trshld']}\")\n", + " print(f\" Close threshold: {PT_BT_CONFIG['dis-equilibrium_close_trshld']}\")\n", + " print(f\" Training window: {PT_BT_CONFIG['training_minutes']} minutes\")\n", + " \n", + " print(\"\\n\" + \"=\"*80)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ "\n", + "def print_summary():\n", + " global pair_trades\n", + "\n", + " from pt_trading.results import BacktestResult\n", + "\n", + " if pair_trades is not None and len(pair_trades) > 0:\n", " all_results: Dict[str, Dict[str, Any]] = {}\n", " all_results[f\"{TRADING_DATE}-{pair.name()}\"] = {\n", " \"trades\": bt_result.trades.copy(), \n", @@ -1229,20 +1458,6 @@ "\n", "\n", " \n", - " else:\n", - " print(f\"\\nNo trading signals generated\")\n", - " print(f\"Backtest completed with no trades\")\n", - " \n", - " # Still print any outstanding information\n", - " print(f\"\\nConfiguration Summary:\")\n", - " print(f\" Pair: {SYMBOL_A} & {SYMBOL_B}\")\n", - " print(f\" Strategy: {FIT_METHOD_TYPE}\")\n", - " print(f\" Open threshold: {PT_BT_CONFIG['dis-equilibrium_open_trshld']}\")\n", - " print(f\" Close threshold: {PT_BT_CONFIG['dis-equilibrium_close_trshld']}\")\n", - " print(f\" Training window: {PT_BT_CONFIG['training_minutes']} minutes\")\n", - " \n", - " print(\"\\n\" + \"=\"*80)\n", - "\n", "# performance_results()" ] }, @@ -1255,9 +1470,5335 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Setup complete!\n", + "Current working directory: /home/oleg\n", + "Trading Parameters:\n", + " Configuration: /home/oleg/develop/pairs_trading/configuration/zscore.cfg\n", + " Symbol A: ADA-USDT\n", + " Symbol B: SOL-USDT\n", + " Trading Date: 2025-06-02\n", + "\n", + "Loading /home/oleg/develop/pairs_trading/configuration/zscore.cfg configuration using HJSON...\n", + "✓ Successfully loaded configuration\n", + " Training window: 120 minutes\n", + " Open threshold: 2\n", + " Close threshold: 0.5\n", + "Fit Model: pt_trading.z-score_rolling_fit.ZScoreRollingFit\n", + "Load configuration SUCCESS\n", + " Fit Method: ZScoreRollingFit\n", + "\n", + "Data Configuration:\n", + " Data File: 20250602.mktdata.ohlcv.db\n", + " ✓ Data file found: ./data/crypto/20250602.mktdata.ohlcv.db\n", + "\n", + "Created trading pair: ADA-USDT & SOL-USDT\n", + "Market data shape: (540, 5)\n", + "Column names: ['close_ADA-USDT', 'close_SOL-USDT']\n", + "\n", + "Sample data:\n" + ] + }, + { + "data": { + "text/html": [ + "
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tstampclose_ADA-USDTclose_SOL-USDTexec_price_ADA-USDTexec_price_SOL-USDT
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tstampclose_ADA-USDTclose_SOL-USDTexec_price_ADA-USDTexec_price_SOL-USDT
5352025-06-02 22:26:000.6917156.720.6909156.57
5362025-06-02 22:27:000.6909156.570.6908156.65
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" + ], + "text/plain": [ + " tstamp close_ADA-USDT close_SOL-USDT exec_price_ADA-USDT exec_price_SOL-USDT\n", + "535 2025-06-02 22:26:00 0.6917 156.72 0.6909 156.57\n", + "536 2025-06-02 22:27:00 0.6909 156.57 0.6908 156.65\n", + "537 2025-06-02 22:28:00 0.6908 156.65 0.6910 156.75\n", + "538 2025-06-02 22:29:00 0.6910 156.75 0.6908 156.70\n", + "539 2025-06-02 22:30:00 0.6908 156.70 0.6902 156.63" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Analysis for RollingFit ...\n", + "\n", + "=== SLIDING FIT FIT_MODEL ANALYSIS ===\n", + "This strategy:\n", + " - Re-fits cointegration model using sliding window\n", + " - Adapts to changing market conditions\n", + " - Dynamic parameter updates every minute\n", + "\n", + "Rolling window analysis parameters:\n", + " Training window size: 120 minutes\n", + " Maximum iterations: 420\n", + " Total analysis time: ~420 minutes\n", + "\n", + "Strategy Configuration:\n", + " Open threshold: 2\n", + " Close threshold: 0.5\n", + " Training minutes: 120\n", + " Funding per pair: $2000\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Price Statistics:\n", + " ADA-USDT: Mean=$0.68, Std=$0.01\n", + " SOL-USDT: Mean=$153.54, Std=$1.05\n", + " Price Ratio: Mean=0.00, Std=0.00\n", + " Correlation: 0.9240\n", + "Running RollingFit analysis...\n", + "\n", + "=== SLIDING FIT ANALYSIS ===\n", + "Processing first 200 iterations for demonstration...\n", + "***ADA-USDT & SOL-USDT*** STARTING....\n", + "OPEN_TRADES: 2025-06-02 15:31:00 open_scaled_disequilibrium=2.892080636255072\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 15:31:00 ADA-USDT BUY OPEN 0.6736 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 15:31:00 SOL-USDT SELL OPEN 153.2400 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 15:41:00 ADA-USDT SELL CLOSE 0.6734 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 15:41:00 SOL-USDT BUY CLOSE 153.1000 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 16:44:00 open_scaled_disequilibrium=2.364778510607668\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 16:44:00 ADA-USDT BUY OPEN 0.6712 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 16:44:00 SOL-USDT SELL OPEN 152.5100 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:01:00 ADA-USDT SELL CLOSE 0.6744 -0.45725 0.45725 -0.45725 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 17:01:00 SOL-USDT BUY CLOSE 153.0700 -0.45725 0.45725 -0.45725 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 17:06:00 open_scaled_disequilibrium=2.191024540541887\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:06:00 ADA-USDT BUY OPEN 0.674 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 17:06:00 SOL-USDT SELL OPEN 153.030 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:17:00 ADA-USDT SELL CLOSE 0.6743 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 17:17:00 SOL-USDT BUY CLOSE 153.0900 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 17:24:00 open_scaled_disequilibrium=2.748538160528875\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:24:00 ADA-USDT BUY OPEN 0.6759 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 17:24:00 SOL-USDT SELL OPEN 153.7000 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 17:35:00 ADA-USDT SELL CLOSE 0.6715 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 17:35:00 SOL-USDT BUY CLOSE 152.9900 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 18:02:00 open_scaled_disequilibrium=2.0472288892294728\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 18:02:00 ADA-USDT SELL OPEN 0.6743 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 18:02:00 SOL-USDT BUY OPEN 153.6400 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "CLOSE TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 18:06:00 ADA-USDT BUY CLOSE 0.6747 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "1 2025-06-02 18:06:00 SOL-USDT SELL CLOSE 153.8400 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "OPEN_TRADES: 2025-06-02 19:35:00 open_scaled_disequilibrium=2.016877535891162\n", + "OPEN TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 19:35:00 ADA-USDT BUY OPEN 0.6721 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "1 2025-06-02 19:35:00 SOL-USDT SELL OPEN 152.1300 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "ADA-USDT & SOL-USDT: *** Position is NOT CLOSED. ***\n", + "CLOSE_POSITION TRADES:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 22:29:00 ADA-USDT SELL CLOSE 0.6908 0.0 0.0 0.0 ADA-USDT & SOL-USDT CLOSE_POSITION\n", + "1 2025-06-02 22:29:00 SOL-USDT BUY CLOSE 156.7000 0.0 0.0 0.0 ADA-USDT & SOL-USDT CLOSE_POSITION\n", + "***ADA-USDT & SOL-USDT*** FINISHED *** Num Trades:24\n", + "Generated 24 trading signals\n", + "\n", + "Strategy execution completed!\n", + "\n", + "================================================================================\n", + "BACKTEST RESULTS\n", + "================================================================================\n" + ] + }, + { + "data": { + "text/html": [ + " \n", + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=== SLIDING FIT INTERACTIVE VISUALIZATION ===\n", + "Note: Rolling Fit strategy visualization with interactive plotly charts\n", + "Using consistent timeline with 540 timestamps\n", + "Timeline range: 2025-06-02 13:30:00 to 2025-06-02 22:30:00\n", + "\n", + "Symbol_A trades:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "0 2025-06-02 15:31:00 ADA-USDT BUY OPEN 0.6736 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "2 2025-06-02 15:41:00 ADA-USDT SELL CLOSE 0.6734 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "4 2025-06-02 16:44:00 ADA-USDT BUY OPEN 0.6712 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "6 2025-06-02 17:01:00 ADA-USDT SELL CLOSE 0.6744 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", + "8 2025-06-02 17:06:00 ADA-USDT BUY OPEN 0.6740 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "10 2025-06-02 17:17:00 ADA-USDT SELL CLOSE 0.6743 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "12 2025-06-02 17:24:00 ADA-USDT BUY OPEN 0.6759 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "14 2025-06-02 17:35:00 ADA-USDT SELL CLOSE 0.6715 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "16 2025-06-02 18:02:00 ADA-USDT SELL OPEN 0.6743 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "18 2025-06-02 18:06:00 ADA-USDT BUY CLOSE 0.6747 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "20 2025-06-02 19:35:00 ADA-USDT BUY OPEN 0.6721 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "22 2025-06-02 22:29:00 ADA-USDT SELL CLOSE 0.6908 0.000000 0.000000 0.000000 ADA-USDT & SOL-USDT CLOSE_POSITION\n", + "\n", + "Symbol_B trades:\n", + " time symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "1 2025-06-02 15:31:00 SOL-USDT SELL OPEN 153.24 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "3 2025-06-02 15:41:00 SOL-USDT BUY CLOSE 153.10 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "5 2025-06-02 16:44:00 SOL-USDT SELL OPEN 152.51 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "7 2025-06-02 17:01:00 SOL-USDT BUY CLOSE 153.07 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", + "9 2025-06-02 17:06:00 SOL-USDT SELL OPEN 153.03 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "11 2025-06-02 17:17:00 SOL-USDT BUY CLOSE 153.09 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "13 2025-06-02 17:24:00 SOL-USDT SELL OPEN 153.70 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "15 2025-06-02 17:35:00 SOL-USDT BUY CLOSE 152.99 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "17 2025-06-02 18:02:00 SOL-USDT BUY OPEN 153.64 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "19 2025-06-02 18:06:00 SOL-USDT SELL CLOSE 153.84 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "21 2025-06-02 19:35:00 SOL-USDT SELL OPEN 152.13 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "23 2025-06-02 22:29:00 SOL-USDT BUY CLOSE 156.70 0.000000 0.000000 0.000000 ADA-USDT & SOL-USDT CLOSE_POSITION\n" + ] + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "line": { + "color": "green", + "width": 2 + }, + "name": "Absolute Scaled Dis-equilibrium", + "opacity": 0.8, + "type": "scatter", + "x": [ + "2025-06-02T13:30:00.000000000", + "2025-06-02T13:31:00.000000000", + "2025-06-02T13:32:00.000000000", + "2025-06-02T13:33:00.000000000", + "2025-06-02T13:34:00.000000000", + "2025-06-02T13:35:00.000000000", + "2025-06-02T13:36:00.000000000", + "2025-06-02T13:37:00.000000000", + "2025-06-02T13:38:00.000000000", + "2025-06-02T13:39:00.000000000", + "2025-06-02T13:40:00.000000000", + "2025-06-02T13:41:00.000000000", + "2025-06-02T13:42:00.000000000", + "2025-06-02T13:43:00.000000000", + "2025-06-02T13:44:00.000000000", + "2025-06-02T13:45:00.000000000", + "2025-06-02T13:46:00.000000000", + 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BUY ADA-USDT @ $0.67 at 2025-06-02 15:31:00\n", + " 2. SELL SOL-USDT @ $153.24 at 2025-06-02 15:31:00\n", + " 3. SELL ADA-USDT @ $0.67 at 2025-06-02 15:41:00\n", + " 4. BUY SOL-USDT @ $153.10 at 2025-06-02 15:41:00\n", + " 5. BUY ADA-USDT @ $0.67 at 2025-06-02 16:44:00\n", + " 6. SELL SOL-USDT @ $152.51 at 2025-06-02 16:44:00\n", + " ... and 18 more signals\n", + "\n", + "================================================================================\n", + "\n", + "Detailed Trading Signals:\n", + "Time Action Symbol Price Scaled Dis-eq Status \n", + "------------------------------------------------------------------------------------------\n", + "2025-06-02 15:31:00 OPEN ADA-USDT $0.67 2.892 OPEN \n", + "2025-06-02 15:31:00 OPEN SOL-USDT $153.24 2.892 OPEN \n", + "2025-06-02 15:41:00 CLOSE ADA-USDT $0.67 0.015 CLOSE \n", + "2025-06-02 15:41:00 CLOSE SOL-USDT $153.10 0.015 CLOSE \n", + "2025-06-02 16:44:00 OPEN ADA-USDT $0.67 2.365 OPEN \n", + "2025-06-02 16:44:00 OPEN SOL-USDT $152.51 2.365 OPEN \n", + "2025-06-02 17:01:00 CLOSE ADA-USDT $0.67 0.457 CLOSE \n", + "2025-06-02 17:01:00 CLOSE SOL-USDT $153.07 0.457 CLOSE \n", + "2025-06-02 17:06:00 OPEN ADA-USDT $0.67 2.191 OPEN \n", + "2025-06-02 17:06:00 OPEN SOL-USDT $153.03 2.191 OPEN \n", + "... and 14 more trading signals\n", + "\n", + " -------------- Suggested Trades \n", + " symbol side action price disequilibrium scaled_disequilibrium signed_scaled_disequilibrium pair status\n", + "time \n", + "2025-06-02 15:31:00 ADA-USDT BUY OPEN 0.6736 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 15:31:00 SOL-USDT SELL OPEN 153.2400 -2.892081 2.892081 -2.892081 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 15:41:00 ADA-USDT SELL CLOSE 0.6734 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 15:41:00 SOL-USDT BUY CLOSE 153.1000 0.014633 0.014633 0.014633 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 16:44:00 ADA-USDT BUY OPEN 0.6712 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 16:44:00 SOL-USDT SELL OPEN 152.5100 -2.364779 2.364779 -2.364779 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 17:01:00 ADA-USDT SELL CLOSE 0.6744 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 17:01:00 SOL-USDT BUY CLOSE 153.0700 -0.457250 0.457250 -0.457250 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 17:06:00 ADA-USDT BUY OPEN 0.6740 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 17:06:00 SOL-USDT SELL OPEN 153.0300 -2.191025 2.191025 -2.191025 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 17:17:00 ADA-USDT SELL CLOSE 0.6743 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 17:17:00 SOL-USDT BUY CLOSE 153.0900 -0.152501 0.152501 -0.152501 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 17:24:00 ADA-USDT BUY OPEN 0.6759 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 17:24:00 SOL-USDT SELL OPEN 153.7000 -2.748538 2.748538 -2.748538 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 17:35:00 ADA-USDT SELL CLOSE 0.6715 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 17:35:00 SOL-USDT BUY CLOSE 152.9900 -0.413061 0.413061 -0.413061 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 18:02:00 ADA-USDT SELL OPEN 0.6743 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 18:02:00 SOL-USDT BUY OPEN 153.6400 2.047229 2.047229 2.047229 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 18:06:00 ADA-USDT BUY CLOSE 0.6747 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 18:06:00 SOL-USDT SELL CLOSE 153.8400 -0.089168 0.089168 -0.089168 ADA-USDT & SOL-USDT CLOSE\n", + "2025-06-02 19:35:00 ADA-USDT BUY OPEN 0.6721 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 19:35:00 SOL-USDT SELL OPEN 152.1300 -2.016878 2.016878 -2.016878 ADA-USDT & SOL-USDT OPEN\n", + "2025-06-02 22:29:00 ADA-USDT SELL CLOSE 0.6908 0.000000 0.000000 0.000000 ADA-USDT & SOL-USDT CLOSE_POSITION\n", + "2025-06-02 22:29:00 SOL-USDT BUY CLOSE 156.7000 0.000000 0.000000 0.000000 ADA-USDT & SOL-USDT CLOSE_POSITION\n", + "\n", + "================================================================================\n", + "\n", + "====== Returns By Day and Pair ======\n", + "\n", + "--- 20250602-ADA-USDT & SOL-USDT ---\n", + "ADA-USDT & SOL-USDT:\n", + " 15:31:00-15:41:00 ADA-USDT: BUY @ $0.67, SELL @ $0.67, Return: -0.03% | Open Dis-eq: 2.89,\n", + " 15:31:00-15:41:00 SOL-USDT: SELL @ $153.24, BUY @ $153.10, Return: 0.09% | Open Dis-eq: 2.89,\n", + " 16:44:00-17:01:00 ADA-USDT: BUY @ $0.67, SELL @ $0.67, Return: 0.48% | Open Dis-eq: 2.36,\n", + " 16:44:00-17:01:00 SOL-USDT: SELL @ $152.51, BUY @ $153.07, Return: -0.37% | Open Dis-eq: 2.36,\n", + " 17:06:00-17:17:00 ADA-USDT: BUY @ $0.67, SELL @ $0.67, Return: 0.04% | Open Dis-eq: 2.19,\n", + " 17:06:00-17:17:00 SOL-USDT: SELL @ $153.03, BUY @ $153.09, Return: -0.04% | Open Dis-eq: 2.19,\n", + " 17:24:00-17:35:00 ADA-USDT: BUY @ $0.68, SELL @ $0.67, Return: -0.65% | Open Dis-eq: 2.75,\n", + " 17:24:00-17:35:00 SOL-USDT: SELL @ $153.70, BUY @ $152.99, Return: 0.46% | Open Dis-eq: 2.75,\n", + " 18:02:00-18:06:00 ADA-USDT: SELL @ $0.67, BUY @ $0.67, Return: -0.06% | Open Dis-eq: 2.05,\n", + " 18:02:00-18:06:00 SOL-USDT: BUY @ $153.64, SELL @ $153.84, Return: 0.13% | Open Dis-eq: 2.05,\n", + " 19:35:00-22:29:00 ADA-USDT: BUY @ $0.67, SELL @ $0.69, Return: 2.78% | Open Dis-eq: 2.02,\n", + " 19:35:00-22:29:00 SOL-USDT: SELL @ $152.13, BUY @ $156.70, Return: -3.00% | Open Dis-eq: 2.02,\n", + " Pair Total Return: -0.16%\n", + " Day Total Return: -0.16%\n", + "\n", + "====== GRAND TOTALS ACROSS ALL PAIRS ======\n", + "Total Realized PnL: -0.16%\n", + "\n", + "====== NO OUTSTANDING POSITIONS ======\n" + ] + } + ], "source": [ "setup()\n", "load_config_from_file()\n", @@ -1268,7 +6809,8 @@ "run_analysis()\n", "visualization()\n", "summary() \n", - "performance_results()\n" + "performance_results()\n", + "print_summary()\n" ] } ], diff --git a/research/pt_backtest.py b/research/pt_backtest.py index b5608d2..cc87b19 100644 --- a/research/pt_backtest.py +++ b/research/pt_backtest.py @@ -69,7 +69,6 @@ def get_instruments(args: argparse.Namespace, config: Dict) -> List[Dict[str, st def run_backtest( config: Dict, datafiles: List[str], - price_column: str, fit_method: PairsTradingFitMethod, instruments: List[Dict[str, str]], ) -> BacktestResult: @@ -90,7 +89,6 @@ def run_backtest( pairs = create_pairs( datafiles=datafiles, fit_method=fit_method, - price_column=price_column, config=config, instruments=instruments, ) @@ -156,7 +154,6 @@ def main() -> None: all_results: Dict[str, Dict[str, Any]] = {} is_config_stored = False # Process each data file - price_column = config["price_column"] for day in sorted(days): md_datafiles = [datafile for md_day, datafile in datafiles if md_day == day] @@ -183,7 +180,6 @@ def main() -> None: bt_results = run_backtest( config=config, datafiles=md_datafiles, - price_column=price_column, fit_method=fit_method, instruments=instruments, ) diff --git a/research/research_tools.py b/research/research_tools.py index e40d06b..4506667 100644 --- a/research/research_tools.py +++ b/research/research_tools.py @@ -48,7 +48,6 @@ def resolve_datafiles(config: Dict, cli_datafiles: Optional[str] = None) -> List def create_pairs( datafiles: List[str], fit_method: PairsTradingFitMethod, - price_column: str, config: Dict, instruments: List[Dict[str, str]], ) -> List: @@ -85,7 +84,6 @@ def create_pairs( market_data=market_data_df, symbol_a=symbol_a, symbol_b=symbol_b, - price_column=price_column, ) pairs.append(pair) return pairs diff --git a/strategy/pair_strategy.py b/strategy/pair_strategy.py index fb1b690..a7f7604 100644 --- a/strategy/pair_strategy.py +++ b/strategy/pair_strategy.py @@ -23,7 +23,6 @@ from pt_trading.trading_pair import TradingPair def run_strategy( config: Dict, datafile: str, - price_column: str, fit_method: PairsTradingFitMethod, instruments: List[str], ) -> BacktestResult: @@ -56,7 +55,6 @@ def run_strategy( market_data=market_data_df, symbol_a=instruments[a_index], symbol_b=instruments[b_index], - price_column=price_column, ) pairs.append(pair) return pairs @@ -161,7 +159,6 @@ def main() -> None: ) # Process each data file - price_column = config["price_column"] for datafile in datafiles: print(f"\n====== Processing {os.path.basename(datafile)} ======") @@ -187,7 +184,6 @@ def main() -> None: bt_results = run_strategy( config=config, datafile=datafile, - price_column=price_column, fit_method=fit_method, instruments=instruments, ) From 71822c64b0a0ad843de719ee17e4b3a2df726154 Mon Sep 17 00:00:00 2001 From: Oleg Sheynin Date: Fri, 25 Jul 2025 20:39:59 +0000 Subject: [PATCH 25/25] progress --- configuration/vecm.cfg | 4 +--- lib/tools/data_loader.py | 3 ++- research/research_tools.py | 5 +++++ 3 files changed, 8 insertions(+), 4 deletions(-) diff --git a/configuration/vecm.cfg b/configuration/vecm.cfg index babe6e4..536fa4f 100644 --- a/configuration/vecm.cfg +++ b/configuration/vecm.cfg @@ -16,9 +16,7 @@ "funding_per_pair": 2000.0, # ====== Trading Parameters ====== - # "stat_model_price": "close", - "stat_model_price": "vwap", - + "stat_model_price": "close", # "vwap" "execution_price": { "column": "vwap", "shift": 1, diff --git a/lib/tools/data_loader.py b/lib/tools/data_loader.py index ff546ea..b137dcc 100644 --- a/lib/tools/data_loader.py +++ b/lib/tools/data_loader.py @@ -48,6 +48,7 @@ def load_market_data( instruments: List[Dict[str, str]], db_table_name: str, trading_hours: Dict = {}, + extra_minutes: int = 0, ) -> pd.DataFrame: insts = [ @@ -86,7 +87,7 @@ def load_market_data( f"{date_str} {trading_hours['begin_session']}", trading_hours["timezone"] ) end_time = convert_time_to_UTC( - f"{date_str} {trading_hours['end_session']}", trading_hours["timezone"], extra_minutes=2 # to get execution price + f"{date_str} {trading_hours['end_session']}", trading_hours["timezone"], extra_minutes=extra_minutes # to get execution price ) # Perform boolean selection diff --git a/research/research_tools.py b/research/research_tools.py index 4506667..a85aef3 100644 --- a/research/research_tools.py +++ b/research/research_tools.py @@ -63,12 +63,17 @@ def create_pairs( config_copy["instruments"] = instruments market_data_df = pd.DataFrame() + extra_minutes = 0 + if "execution_price" in config_copy: + extra_minutes = config_copy["execution_price"]["shift"] + for datafile in datafiles: md_df = load_market_data( datafile=datafile, instruments=instruments, db_table_name=config_copy["market_data_loading"][instruments[0]["instrument_type"]]["db_table_name"], trading_hours=config_copy["trading_hours"], + extra_minutes=extra_minutes, ) market_data_df = pd.concat([market_data_df, md_df])