5583 lines
2.0 MiB
5583 lines
2.0 MiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 19,
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"id": "1023f2c1-e45f-4e1c-9a1b-66f59f128196",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Panda Version: 2.2.2\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2024-08-02 18:48:15.013769: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
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"2024-08-02 18:48:15.033036: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
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"2024-08-02 18:48:15.038804: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Today date is: 2024-08-02\n"
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]
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}
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],
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"source": [
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"import sqlite3\n",
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"\n",
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"import os\n",
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"import re\n",
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"\n",
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"import numpy as np\n",
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"# It is apparently officially accepted to explicitly\n",
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"# list all the functions you need from numpy:\n",
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"from numpy import array, zeros, exp, random, dot\n",
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"from numpy import shape, reshape, meshgrid, linspace\n",
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"from numpy import hstack, vstack\n",
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"\n",
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"import statsmodels\n",
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"import sklearn\n",
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"import arch\n",
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"import backtrader\n",
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"import pyfolio\n",
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"import xgboost\n",
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"\n",
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"import pandas as pd\n",
|
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"print('Panda Version:', pd.__version__)\n",
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"\n",
|
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"# Set ipython's max row display\n",
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"pd.set_option('display.max_row', 100, 'display.max_columns', 25)\n",
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"\n",
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"import matplotlib.pyplot as plt # for plotting\n",
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"import matplotlib\n",
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"matplotlib.rcParams['figure.dpi'] = 100 # highres display\n",
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"\n",
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"import tensorflow as tf\n",
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"from tensorflow import Variable\n",
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"\n",
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"from tensorflow.keras import Sequential\n",
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"from tensorflow.keras import Model\n",
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"from tensorflow.keras.layers import Dense\n",
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"from tensorflow.keras.layers import Dropout\n",
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"from tensorflow.keras.layers import TimeDistributed, RepeatVector\n",
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"\n",
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"from keras.optimizers import SGD\n",
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"\n",
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"from keras.models import load_model\n",
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"from keras.callbacks import EarlyStopping\n",
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"from keras.callbacks import ModelCheckpoint\n",
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"\n",
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"from keras.layers import LSTM, Dense, Concatenate\n",
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"\n",
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"from keras.optimizers import SGD\n",
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"\n",
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"import collections\n",
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"from collections import Counter\n",
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"\n",
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"import seaborn as sns\n",
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"from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
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"from statsmodels.tsa.seasonal import seasonal_decompose\n",
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"\n",
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"from scipy import signal\n",
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"\n",
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"# Import date class from datetime module\n",
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"import time\n",
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"import datetime\n",
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"# import datetime as dt\n",
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"from datetime import date\n",
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"print(\"Today date is: \", date.today())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b6334f38-1929-4969-8aa8-4c05f57d5684",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "c17a0212-b921-400a-976c-fed928508b31",
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"metadata": {},
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"outputs": [],
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"source": [
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"'''\n",
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"4. scikit-learn\n",
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"Use Case: Machine learning and statistical modeling.\n",
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"Features: Provides implementations of various machine learning algorithms and tools for model evaluation and selection.\n",
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"5. Arch\n",
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"Use Case: Financial econometrics.\n",
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"Features: Focuses on ARCH (Autoregressive Conditional Heteroskedasticity) and GARCH (Generalized ARCH) models for volatility modeling.\n",
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"6. matplotlib & seaborn\n",
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"Use Case: Data visualization.\n",
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"Features: These libraries help visualize time series data and statistical properties.\n",
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"7. Quantlib\n",
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"Use Case: Quantitative finance.\n",
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"Features: Provides tools for pricing derivatives, calculating risk metrics, and other financial computations.\n",
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"8. Backtrader\n",
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"Use Case: Backtesting trading strategies.\n",
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"Features: Allows for backtesting of trading strategies with a focus on time series data.\n",
|
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"9. pyfolio\n",
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|
"Use Case: Performance and risk analysis of financial portfolios.\n",
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"Features: Provides functionalities for portfolio and risk analytics, including tear sheets\n",
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"'''"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9cfcd25c-a8a6-4aa7-bedb-7b41203bf799",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "56dbd104-55e6-4a23-ae9c-106e5760ad02",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 322,
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"id": "c09a37a6-f0d9-48e3-a1d1-65ddaf2c489c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"/workspace/leo\n",
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"total 60200\n",
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"drwxrwxr-x 1 1000 1000 2360 Jul 17 10:00 .\n",
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"drwxrwxr-x 1 1000 1000 18 Jun 3 23:40 ..\n",
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"-rw------- 1 1000 1000 1449984 Jun 4 00:49 20240601.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1445888 Jun 3 23:44 20240602.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1437696 Jun 4 16:45 20240603.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1269760 Jun 5 10:00 20240604.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1081344 Jun 6 10:00 20240605.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1441792 Jun 7 10:00 20240606.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1445888 Jun 8 10:00 20240607.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jun 9 10:00 20240608.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1437696 Jul 2 01:50 20240609.mktdata.ohlcv.db\n",
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"-rw-r--r-- 1 1000 1000 0 Jul 2 16:45 20240609.mktdata.ohlcv_1min.db\n",
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"-rw------- 1 1000 1000 1437696 Jun 11 10:00 20240610.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jun 12 10:01 20240611.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1445888 Jun 13 10:01 20240612.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1445888 Jun 14 10:01 20240613.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1404928 Jun 15 10:01 20240614.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jun 16 10:00 20240615.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jun 17 10:00 20240616.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1437696 Jun 18 10:01 20240617.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 970752 Jun 19 10:00 20240618.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 802816 Jun 20 10:00 20240619.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 806912 Jun 21 10:00 20240620.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 888832 Jun 22 10:00 20240621.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jun 23 10:00 20240622.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jun 24 10:00 20240623.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1437696 Jun 25 10:00 20240624.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jun 26 10:00 20240625.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1445888 Jun 27 10:00 20240626.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jun 28 10:00 20240627.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jun 29 10:00 20240628.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jun 30 10:00 20240629.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jul 1 10:00 20240630.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1417216 Jul 2 10:00 20240701.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jul 3 10:00 20240702.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jul 4 10:00 20240703.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jul 5 10:00 20240704.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1441792 Jul 6 10:00 20240705.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1437696 Jul 7 10:00 20240706.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1433600 Jul 8 10:00 20240707.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1404928 Jul 9 10:00 20240708.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1429504 Jul 10 10:00 20240709.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1433600 Jul 11 10:00 20240710.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1056768 Jul 12 10:00 20240711.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1441792 Jul 13 10:00 20240712.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jul 14 10:00 20240713.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1449984 Jul 15 10:00 20240714.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 1413120 Jul 16 10:00 20240715.mktdata.ohlcv.db\n",
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"-rw------- 1 1000 1000 0 Jul 17 10:00 20240716.mktdata.ohlcv.db\n"
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]
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}
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],
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"source": [
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"!pwd\n",
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"\n",
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"!ls -la /workspace/data/crypto_md/"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d93e6c3c-cbf8-4e90-b931-7b37ab509d09",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
|
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"execution_count": null,
|
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"id": "c9ce43d3-a07a-47a7-b80b-86e82396cc30",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
|
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"cell_type": "code",
|
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"execution_count": 82,
|
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"id": "8d72d849-e8df-4564-a006-03ab646b9330",
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"metadata": {},
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"outputs": [],
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"source": [
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"# db_conn = sqlite3.connect(mktdata_db_file)\n",
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"# tables_df = pd.read_sql_query(\"select * from sqlite_master where type = 'table'\", db_conn)\n",
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"# print (tables_df_20240601.head())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4df4b0d4-e92e-42a9-8747-ff60669a4e10",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "5d2aed0b-8c9d-4f5a-9166-785da4811390",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"210366\n",
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" tstamp exchange_id instrument_id open high \\\n",
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"0 1717200000000000000 COINBASE PAIR-BTC-USD 67473.07 67514.99 \n",
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"1 1717200060000000000 COINBASE PAIR-BTC-USD 67506.57 67515.00 \n",
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"2 1717200120000000000 COINBASE PAIR-BTC-USD 67494.73 67515.00 \n",
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"\n",
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" low close volume vwap \n",
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"0 67468.13 67506.03 2.045049 67496.869352 \n",
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"1 67480.66 67494.74 0.646759 67500.893305 \n",
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"2 67455.91 67514.99 9.732906 67477.840770 \n",
|
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" tstamp exchange_id instrument_id open high low \\\n",
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"210363 1720396620000000000 COINBASE PAIR-XRP-USD 0.4200 0.4200 0.4195 \n",
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"210364 1720396680000000000 COINBASE PAIR-XRP-USD 0.4195 0.4196 0.4193 \n",
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"210365 1720396740000000000 COINBASE PAIR-XRP-USD 0.4194 0.4195 0.4192 \n",
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"\n",
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" close volume vwap \n",
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"210363 0.4195 70822.162247 0.419680 \n",
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"210364 0.4193 36835.809457 0.419375 \n",
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"210365 0.4195 41218.366701 0.419372 \n"
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]
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}
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],
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"source": [
|
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"directory = \"/workspace/data/crypto_md\"\n",
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"\n",
|
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"# List of datesprint\n",
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"dates = [\n",
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" '20240601', \n",
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" '20240602', \n",
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" '20240603',\n",
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" '20240604', \n",
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" '20240605', \n",
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" '20240606', \n",
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" '20240607', \n",
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" '20240608',\n",
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" '20240609',\n",
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" '20240610' ,\n",
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" '20240611',\n",
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" '20240612',\n",
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" '20240613', \n",
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" '20240614', \n",
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" '20240615', \n",
|
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" '20240616', \n",
|
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" '20240617',\n",
|
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" '20240618',\n",
|
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" '20240619',\n",
|
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" '20240620',\n",
|
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" '20240621', \n",
|
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" '20240622', \n",
|
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" '20240623',\n",
|
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" '20240624',\n",
|
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" '20240625', \n",
|
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" '20240626',\n",
|
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" '20240627',\n",
|
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" '20240628',\n",
|
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" '20240629',\n",
|
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" '20240630',\n",
|
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" '20240701',\n",
|
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" '20240702',\n",
|
|
" '20240703',\n",
|
|
" '20240704',\n",
|
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" '20240705',\n",
|
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" '20240706',\n",
|
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" '20240707'\n",
|
|
" # '20240708',\n",
|
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" # '20240709',\n",
|
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" # '20240710',\n",
|
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" # '20240711',\n",
|
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" # '20240712',\n",
|
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" # '20240713',\n",
|
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" # '20240714',\n",
|
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" # '20240715'\n",
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" ]\n",
|
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" \n",
|
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"# Create an entirely empty DataFrame\n",
|
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"df_concat = pd.DataFrame()\n",
|
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"\n",
|
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"for date in dates:\n",
|
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" # Construct the filename\n",
|
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" filename = f\"{directory}/{date}.mktdata.ohlcv.db\"\n",
|
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" \n",
|
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" # Create the SQLite connection\n",
|
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" conn = sqlite3.connect(filename)\n",
|
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" \n",
|
|
" # Read the data into a DataFrame\n",
|
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" df = pd.read_sql_query(\"select * from coinbase_ohlcv_1min\", conn)\n",
|
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"\n",
|
|
" df_concat = pd.concat([df_concat, df], axis = 0,ignore_index = True)\n",
|
|
" # Print the combined DataFrame\n",
|
|
" # print(df_concat.shape[0])\n",
|
|
" # print(df_concat.shape[1])\n",
|
|
" conn.close()\n",
|
|
"print (df_concat.shape[0])\n",
|
|
"print (df_concat.head(3))\n",
|
|
"print (df_concat.tail(3))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"id": "cd83027c-eaa1-44d9-98ad-8506099c323d",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" date instrument_id close volume vwap\n",
|
|
"207486 7-7-23-59 PAIR-ETH-USD 2930.6100 16.442863 2929.596038\n",
|
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"208925 7-7-23-59 PAIR-LTC-USD 62.0500 130.024857 61.982055\n",
|
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"210365 7-7-23-59 PAIR-XRP-USD 0.4195 41218.366701 0.419372\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"df_concat['tstmp'] = pd.to_datetime(df_concat['tstamp'])\n",
|
|
"\n",
|
|
"# Extract individual components\n",
|
|
"df_concat['year'] = df_concat['tstmp'].dt.year\n",
|
|
"df_concat['month'] = df_concat['tstmp'].dt.month\n",
|
|
"df_concat['day'] = df_concat['tstmp'].dt.day\n",
|
|
"df_concat['hour'] = df_concat['tstmp'].dt.hour\n",
|
|
"df_concat['minute'] = df_concat['tstmp'].dt.minute\n",
|
|
"df_concat['second'] = df_concat['tstmp'].dt.second\n",
|
|
"\n",
|
|
"df_concat['date'] = df_concat['month'].astype(str) + '-' + df_concat['day'].astype(str) + '-' + df_concat['hour'].astype(str) + '-' + df_concat['minute'].astype(str)\n",
|
|
"df_concat = df_concat.sort_values(by = ['month', 'day', 'hour', 'minute'])\n",
|
|
"\n",
|
|
"selected_columns = ['date', 'instrument_id', 'close', 'volume', 'vwap']\n",
|
|
"df_concat = df_concat[selected_columns]\n",
|
|
"\n",
|
|
"print (df_concat.tail(3))\n",
|
|
"\n",
|
|
"# instrument_list = df_concat['instrument_id'].unique().tolist()\n",
|
|
"# print(\"Distinct values in column 'instrument_id':\", instrument_list)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"id": "2184cea7-2883-4aa5-b685-80b72141b633",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" date instrument_id close volume vwap\n",
|
|
"206044 7-7-23-57 PAIR-BTC-USD 55881.99 9.262912 55898.793692\n",
|
|
"206045 7-7-23-58 PAIR-BTC-USD 55846.85 19.044228 55832.244248\n",
|
|
"206046 7-7-23-59 PAIR-BTC-USD 55854.09 11.059885 55849.715519\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# print (df_concat[df_concat['instrument_id'] == 'PAIR-BTC-USD'].tail(30))\n",
|
|
"# print (df_concat[df_concat['instrument_id'] == 'PAIR-ETH-USD'].tail(30))\n",
|
|
"# print (df_concat[df_concat['instrument_id'] == 'PAIR-LTC-USD'].tail(30))\n",
|
|
"# print (df_concat[df_concat['instrument_id'] == 'PAIR-XRP-USD'].tail(30))\n",
|
|
"df_concat_btc = df_concat[df_concat['instrument_id'] == 'PAIR-BTC-USD']\n",
|
|
"print (df_concat_btc.tail(3))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 6,
|
|
"id": "316c0cfb-c73d-4dad-9d49-eb80daa229ec",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" date close_eth volume_eth vwap_eth\n",
|
|
"52614 7-7-23-57 0.292887 36.680197 0.292978\n",
|
|
"52615 7-7-23-58 0.292983 102.079982 0.292911\n",
|
|
"52616 7-7-23-59 0.293061 16.442863 0.292960\n",
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"52615 7-7-9-7 0.4376 2599.821206 0.437600 0.301277 12.252974 \n",
|
|
"52616 7-7-9-8 0.4372 23718.539194 0.437213 0.301136 0.907615 \n",
|
|
"52617 7-7-9-9 0.4371 4330.750011 0.437266 0.301111 1.252245 \n",
|
|
"\n",
|
|
" vwap_eth \n",
|
|
"52615 0.301410 \n",
|
|
"52616 0.301256 \n",
|
|
"52617 0.301146 \n",
|
|
"M1: 52618\n",
|
|
"========================================\n",
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"0 6-1-0-0 0.5173 28809.165339 0.517217 0.376204 37.497964 \n",
|
|
"1 6-1-0-1 0.5170 10184.511212 0.517060 0.375942 11.703305 \n",
|
|
"\n",
|
|
" vwap_eth close_ltc volume_ltc vwap_ltc close_btc volume_btc vwap_btc \n",
|
|
"0 0.376108 0.8317 110.056253 0.831662 0.675060 2.045049 0.674969 \n",
|
|
"1 0.376013 0.8312 176.868598 0.831441 0.674947 0.646759 0.675009 \n",
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"52514 7-7-9-8 0.4372 23718.539194 0.437213 0.301136 0.907615 \n",
|
|
"52515 7-7-9-9 0.4371 4330.750011 0.437266 0.301111 1.252245 \n",
|
|
"\n",
|
|
" vwap_eth close_ltc volume_ltc vwap_ltc close_btc volume_btc \\\n",
|
|
"52514 0.301256 0.6451 247.957477 0.645562 0.576166 0.956894 \n",
|
|
"52515 0.301146 0.6448 17.061922 0.645149 0.576085 1.176161 \n",
|
|
"\n",
|
|
" vwap_btc \n",
|
|
"52514 0.576226 \n",
|
|
"52515 0.576160 \n",
|
|
"test sample size: 52516\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# BTC\n",
|
|
"df_concat_btc = df_concat[df_concat['instrument_id'] == 'PAIR-BTC-USD']\n",
|
|
"\n",
|
|
"# Reset Index\n",
|
|
"df_concat_btc = df_concat_btc.reset_index(drop = True)\n",
|
|
"\n",
|
|
"# Rename Vars\n",
|
|
"df_concat_btc['close_btc'] = df_concat_btc['close']/100000.00\n",
|
|
"df_concat_btc['volume_btc'] = df_concat_btc['volume']\n",
|
|
"df_concat_btc['vwap_btc'] = df_concat_btc['vwap']/100000.00\n",
|
|
"\n",
|
|
"df_concat_btc = df_concat_btc.drop('close', axis = 1)\n",
|
|
"df_concat_btc = df_concat_btc.drop('volume', axis = 1)\n",
|
|
"df_concat_btc = df_concat_btc.drop('vwap', axis = 1)\n",
|
|
"df_concat_btc = df_concat_btc.drop('instrument_id', axis = 1)\n",
|
|
"\n",
|
|
"# print (df_concat_btc.tail(30))\n",
|
|
"\n",
|
|
"# LTC\n",
|
|
"df_concat_ltc = df_concat[df_concat['instrument_id'] == 'PAIR-LTC-USD']\n",
|
|
"\n",
|
|
"# Reset Index\n",
|
|
"df_concat_ltc = df_concat_ltc.reset_index(drop = True)\n",
|
|
"\n",
|
|
"# Rename Vars\n",
|
|
"df_concat_ltc['close_ltc'] = df_concat_ltc['close']/100.00\n",
|
|
"df_concat_ltc['volume_ltc'] = df_concat_ltc['volume']\n",
|
|
"df_concat_ltc['vwap_ltc'] = df_concat_ltc['vwap']/100.00\n",
|
|
"\n",
|
|
"df_concat_ltc = df_concat_ltc.drop('close', axis = 1)\n",
|
|
"df_concat_ltc = df_concat_ltc.drop('volume', axis = 1)\n",
|
|
"df_concat_ltc = df_concat_ltc.drop('vwap', axis = 1)\n",
|
|
"df_concat_ltc = df_concat_ltc.drop('instrument_id', axis = 1)\n",
|
|
"\n",
|
|
"# print (df_concat_ltc.head(3))\n",
|
|
"\n",
|
|
"# ETH\n",
|
|
"df_concat_eth = df_concat[df_concat['instrument_id'] == 'PAIR-ETH-USD']\n",
|
|
"\n",
|
|
"# Reset Index\n",
|
|
"df_concat_eth = df_concat_eth.reset_index(drop = True)\n",
|
|
"\n",
|
|
"# Rename Vars\n",
|
|
"df_concat_eth['close_eth'] = df_concat_eth['close']/10000.00\n",
|
|
"df_concat_eth['volume_eth'] = df_concat_eth['volume']\n",
|
|
"df_concat_eth['vwap_eth'] = df_concat_eth['vwap']/10000.00\n",
|
|
"\n",
|
|
"df_concat_eth = df_concat_eth.drop('close', axis = 1)\n",
|
|
"df_concat_eth = df_concat_eth.drop('volume', axis = 1)\n",
|
|
"df_concat_eth = df_concat_eth.drop('vwap', axis = 1)\n",
|
|
"df_concat_eth = df_concat_eth.drop('instrument_id', axis = 1)\n",
|
|
"\n",
|
|
"print (df_concat_eth.tail(3))\n",
|
|
"\n",
|
|
"# XRP\n",
|
|
"df_concat_xrp = df_concat[df_concat['instrument_id'] == 'PAIR-XRP-USD']\n",
|
|
"\n",
|
|
"# Reset Index\n",
|
|
"df_concat_xrp = df_concat_xrp.reset_index(drop = True)\n",
|
|
"\n",
|
|
"# Rename Vars\n",
|
|
"df_concat_xrp['close_xrp'] = df_concat_xrp['close']\n",
|
|
"df_concat_xrp['volume_xrp'] = df_concat_xrp['volume']\n",
|
|
"df_concat_xrp['vwap_xrp'] = df_concat_xrp['vwap']\n",
|
|
"\n",
|
|
"df_concat_xrp = df_concat_xrp.drop('close', axis = 1)\n",
|
|
"df_concat_xrp = df_concat_xrp.drop('volume', axis = 1)\n",
|
|
"df_concat_xrp = df_concat_xrp.drop('vwap', axis = 1)\n",
|
|
"df_concat_xrp = df_concat_xrp.drop('instrument_id', axis = 1)\n",
|
|
"\n",
|
|
"# print (df_concat_xrp.head(3))\n",
|
|
"\n",
|
|
"df_M1 = pd.merge(df_concat_xrp, df_concat_eth, on = 'date', how = 'outer')\n",
|
|
"print (df_M1.tail(3))\n",
|
|
"print (\"M1: \", df_M1.shape[0])\n",
|
|
"\n",
|
|
"# date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"# 52615 7-7-9-7 0.4376 2599.821206 0.437600 0.301277 12.252974 \n",
|
|
"# 52616 7-7-9-8 0.4372 23718.539194 0.437213 0.301136 0.907615 \n",
|
|
"# 52617 7-7-9-9 0.4371 4330.750011 0.437266 0.301111 1.252245 \n",
|
|
"\n",
|
|
"# 'month', 'day', 'hour', 'minute'\n",
|
|
"# Oleg, is it possible that a data for XRP were sptopped to be collected at July 7.\n",
|
|
"# Please, check.\n",
|
|
"\n",
|
|
"df_M2 = pd.merge(df_M1, df_concat_ltc, on = 'date', how = 'outer')\n",
|
|
"# print (df_M2.head(3))\n",
|
|
"# print (\"M2: \", df_M2.shape[0])\n",
|
|
"df_M3 = pd.merge(df_M2, df_concat_btc, on = 'date', how = 'outer')\n",
|
|
"# print (df_M3.head(3))\n",
|
|
"# print (\"M3: \", df_M3.shape[0])\n",
|
|
"\n",
|
|
"# Drop rows with any NaN value and assign it to a new DataFrame\n",
|
|
"sample = df_M3.dropna(axis = 0).reset_index(drop = True)\n",
|
|
"\n",
|
|
"print (\"========================================\")\n",
|
|
"print (sample.head(2))\n",
|
|
"print (sample.tail(2))\n",
|
|
"sample_size = sample.shape[0]\n",
|
|
"print (\"test sample size: \", sample_size)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "3e0111b3-ec60-4a3f-8c05-b915be03c7da",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"id": "38bc81a6-12b5-4874-9f1e-c5e1fbeffa37",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"df_M1 shape: 52618\n",
|
|
"df_M2 shape: 52618\n",
|
|
"df_M3 shape: 52618\n",
|
|
"sample shape: 52516\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print ('df_M1 shape: ', df_M1.shape[0])\n",
|
|
"print ('df_M2 shape: ', df_M2.shape[0])\n",
|
|
"print ('df_M3 shape: ', df_M3.shape[0])\n",
|
|
"\n",
|
|
"print ('sample shape: ', sample.shape[0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "36ae2ebf-9743-41ac-a1f6-86cdc458dd3e",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 175,
|
|
"id": "067bb460-0490-4e2f-b3bf-d0c91a26d947",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Create a figure and axis object\n",
|
|
"fig, ax = plt.subplots(2 , 1)\n",
|
|
"\n",
|
|
"# Plot the data\n",
|
|
"ax[0].plot(df_concat_xrp['date'], df_concat_xrp['close_xrp'], 'blue')\n",
|
|
"# ax[0].plot(df_concat_btc['date'], df_concat_btc['vwap_btc'], 'green')\n",
|
|
"\n",
|
|
"# Customize the plot\n",
|
|
"ax[0].set_title('PAIR-XRP-USDT')\n",
|
|
"ax[0].set_xlabel('date')\n",
|
|
"ax[0].set_ylabel('close')\n",
|
|
"\n",
|
|
"ax[1].plot(df_concat_xrp['date'], df_concat_xrp['vwap_xrp'], 'green')\n",
|
|
"# ax[1].plot(df_concat_btc['date'], df_concat_btc['volume_BTC'], 'red')\n",
|
|
"\n",
|
|
"# Show the plot\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 176,
|
|
"id": "92700c76-8eac-4ebb-86d3-27066486c437",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Create a figure and axis object\n",
|
|
"fig, ax = plt.subplots(2 , 1)\n",
|
|
"\n",
|
|
"# Plot the data\n",
|
|
"ax[0].plot(df_concat_btc['date'], df_concat_btc['close_btc'], 'blue')\n",
|
|
"# ax[0].plot(df_concat_btc['date'], df_concat_btc['vwap_btc'], 'green')\n",
|
|
"\n",
|
|
"# Customize the plot\n",
|
|
"ax[0].set_title('PAIR-BTC-USDT')\n",
|
|
"ax[0].set_xlabel('date')\n",
|
|
"ax[0].set_ylabel('close')\n",
|
|
"\n",
|
|
"ax[1].plot(df_concat_btc['date'], df_concat_btc['vwap_btc'], 'green')\n",
|
|
"# ax[1].plot(df_concat_btc['date'], df_concat_btc['volume_BTC'], 'red')\n",
|
|
"\n",
|
|
"# Show the plot\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"id": "3c6d80b3-4a46-432b-9b88-6a264f9b7a7e",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"First part of the DataFrame:\n",
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"42011 6-9-22-15 0.4989 4219.151010 0.498820 0.371410 19.179327 \n",
|
|
"42012 6-9-22-16 0.4991 7127.748279 0.499099 0.371796 41.245680 \n",
|
|
"\n",
|
|
" vwap_eth close_ltc volume_ltc vwap_ltc close_btc volume_btc \\\n",
|
|
"42011 0.371428 0.8051 24.749003 0.805129 0.696990 0.909656 \n",
|
|
"42012 0.371544 0.8054 46.512380 0.804995 0.697354 1.479938 \n",
|
|
"\n",
|
|
" vwap_btc \n",
|
|
"42011 0.696948 \n",
|
|
"42012 0.697224 \n",
|
|
"\n",
|
|
"Second part of the DataFrame:\n",
|
|
" date close_xrp volume_xrp vwap_xrp close_eth volume_eth \\\n",
|
|
"42013 6-9-22-17 0.4991 6028.655908 0.499069 0.371699 24.639615 \n",
|
|
"42014 6-9-22-18 0.4991 27772.155557 0.499006 0.371520 15.982663 \n",
|
|
"\n",
|
|
" vwap_eth close_ltc volume_ltc vwap_ltc close_btc volume_btc \\\n",
|
|
"42013 0.371743 0.8053 127.209143 0.805103 0.697080 3.752468 \n",
|
|
"42014 0.371601 0.8052 39.219555 0.805262 0.696941 1.737367 \n",
|
|
"\n",
|
|
" vwap_btc \n",
|
|
"42013 0.697217 \n",
|
|
"42014 0.696988 \n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"split_index = round(sample.shape[0] * 0.8)\n",
|
|
"\n",
|
|
"# First part of the DataFrame\n",
|
|
"sample_test = sample.iloc[:split_index]\n",
|
|
"\n",
|
|
"# Second part of the DataFrame\n",
|
|
"sample_valid = sample.iloc[split_index:]\n",
|
|
"\n",
|
|
"print(\"\\nFirst part of the DataFrame:\")\n",
|
|
"print (sample_test.tail(2))\n",
|
|
"\n",
|
|
"print(\"\\nSecond part of the DataFrame:\")\n",
|
|
"print (sample_valid.head(2))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "aa4b0ac3-327a-42ce-ac58-587d9df5770c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"id": "569f480e-92d6-4748-a159-453424e43a5c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Detrend Series Function\n",
|
|
"# =========================\n",
|
|
"def detrend_series(series):\n",
|
|
" trend = np.polyfit(np.arange(len(series)), series.values, 1)\n",
|
|
" trend_line = np.polyval(trend, np.arange(len(series)))\n",
|
|
" detrended_series = series - trend_line\n",
|
|
" return detrended_series\n",
|
|
"\n",
|
|
"crypto_list = ['XRP', 'ETH', 'LTC', 'BTC']"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "57699dea-1e1f-4926-ae62-bac2a71efe5b",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 94,
|
|
"id": "71a76b9f-017a-4bcf-93ca-9101370cb430",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample_size\n",
|
|
"52516\n",
|
|
"===========================================================\n",
|
|
"Selected Indices: chosen_idx1\n",
|
|
"Index([ 1016, 1131, 1953, 2129, 2796, 3662, 3919, 3941, 4310, 5055,\n",
|
|
" 5397, 5574, 5675, 5932, 6285, 6382, 7087, 7360, 8970, 9178,\n",
|
|
" 9330, 9962, 10763, 10809, 10817, 10824, 11099, 11167, 11300, 11762,\n",
|
|
" 12173, 12223, 13106, 13364, 13902, 13943, 14958, 16450, 16547, 18574,\n",
|
|
" 18630, 18779, 19163, 19201, 19784, 20026, 20056, 20341, 20553, 21353,\n",
|
|
" 21446, 22483, 22585, 22593, 23067, 23514, 23735, 23979, 24696, 25290,\n",
|
|
" 25527, 26205, 27140, 27318, 27581, 27652, 27784, 27790, 28764, 30219,\n",
|
|
" 30562, 30884, 31448, 32508, 32808, 32842, 32922, 34466, 34946, 35256,\n",
|
|
" 35551, 36201, 36422, 36588, 36765, 36970, 37071, 37446, 37596, 37771,\n",
|
|
" 38028, 39006, 39095, 39668, 39934, 40092, 40706, 41006, 41633, 41636],\n",
|
|
" dtype='int64')\n",
|
|
"<class 'pandas.core.indexes.base.Index'>\n",
|
|
" ============ Second Cycle ========================= \n",
|
|
"cnt_thrown_idx1: 0\n",
|
|
"cnt_thrown_idx2: 0\n",
|
|
"cnt_thrown_idx: 0\n",
|
|
"batch: 100\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Model Input\n",
|
|
"# =============================================\n",
|
|
"sl = 132 # <--- sequence length\n",
|
|
"batch = 100 # <--- batch size\n",
|
|
"n_features = 4 # <---- no. of variables\n",
|
|
"n_out = 4 # <----- no. of predicted variables\n",
|
|
"frwd = 10 # <----- how many to predict\n",
|
|
"# =============================================\n",
|
|
"\n",
|
|
"print ('sample_size')\n",
|
|
"print (sample_size)\n",
|
|
"print ('===========================================================')\n",
|
|
"\n",
|
|
"# Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"# sample_test['Selected'] = 0\n",
|
|
"sample_test.loc[:, 'Selected'] = 0\n",
|
|
"\n",
|
|
"# Selecting m random rows without replacement\n",
|
|
"np.random.seed(125)\n",
|
|
"selected_indices = np.random.choice(sample_test.index, size = batch, replace = False)\n",
|
|
"\n",
|
|
"sample_test.loc[selected_indices, 'Selected'] = 1 \n",
|
|
"\n",
|
|
"# print ('Selected Indices')\n",
|
|
"# print (selected_indices)\n",
|
|
"\n",
|
|
"chosen_idx1 = sample_test[sample_test['Selected'] == 1].index\n",
|
|
"print ('Selected Indices: chosen_idx1')\n",
|
|
"print (chosen_idx1)\n",
|
|
"print (type(chosen_idx1))\n",
|
|
"\n",
|
|
"# =============================================\n",
|
|
"# thrown_idx1 = chosen_idx1[chosen_idx1 <= sl]\n",
|
|
"# cnt_thrown_idx1 = len(thrown_idx1)\n",
|
|
"\n",
|
|
"# chosen_idx3 = chosen_idx2[chosen_idx2 < (sample_size - frwd)]\n",
|
|
"\n",
|
|
"# thrown_idx2 = chosen_idx2[chosen_idx2 >= (sample_size - frwd)]\n",
|
|
"# cnt_thrown_idx2 = len(thrown_idx2)\n",
|
|
"# =============================================\n",
|
|
"\n",
|
|
"cnt_thrown_idx1 = 0\n",
|
|
"cnt_thrown_idx2 = 0\n",
|
|
"\n",
|
|
"for idx in chosen_idx1:\n",
|
|
" # print (sample_test.iloc[idx-(sl-1): idx+(frwd+1)])\n",
|
|
" # print (idx-(sl-1), idx+(frwd+1))\n",
|
|
" \n",
|
|
" if (idx-(sl-1) < 0):\n",
|
|
" print ('scratch index on a left: ', idx)\n",
|
|
" cnt_thrown_idx1 = cnt_thrown_idx1 + 1\n",
|
|
" print ('cnt_thrown_idx1: ', cnt_thrown_idx1)\n",
|
|
" chosen_idx1 = chosen_idx1.drop(idx)\n",
|
|
" print (chosen_idx1)\n",
|
|
" \n",
|
|
"print (' ============ Second Cycle ========================= ')\n",
|
|
"\n",
|
|
"for idx in chosen_idx1:\n",
|
|
" if (idx+(frwd+1) > sample_size):\n",
|
|
" print ('scratch index on a right: ', idx)\n",
|
|
" cnt_thrown_idx2 = cnt_thrown_idx2 + 1\n",
|
|
" print ('cnt_thrown_idx2: ', cnt_thrown_idx2)\n",
|
|
" chosen_idx1 = chosen_idx1.drop(idx)\n",
|
|
" print (chosen_idx1)\n",
|
|
"\n",
|
|
"\n",
|
|
"print ('cnt_thrown_idx1: ', cnt_thrown_idx1)\n",
|
|
"print ('cnt_thrown_idx2: ', cnt_thrown_idx2)\n",
|
|
"\n",
|
|
"cnt_thrown_idx = cnt_thrown_idx1 + cnt_thrown_idx2\n",
|
|
"print ('cnt_thrown_idx: ', cnt_thrown_idx)\n",
|
|
"\n",
|
|
"print ('batch: ', batch)\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "95902e28-d45c-47b6-bf08-57cdeadc486f",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 98,
|
|
"id": "5c3e17e3-01e7-45cd-ae92-bb6702f3e53f",
|
|
"metadata": {
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample_size\n",
|
|
"52516\n",
|
|
"===========================================================\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Model Input\n",
|
|
"# =============================================\n",
|
|
"sl = 132 # <--- sequence length\n",
|
|
"batch = 100 # <--- batch size\n",
|
|
"n_features = 4 # <---- no. of variables\n",
|
|
"n_out = 4 # <----- no. of predicted variables\n",
|
|
"frwd = 10 # <----- how many to predict\n",
|
|
"# =============================================\n",
|
|
"\n",
|
|
"print ('sample_size')\n",
|
|
"print (sample_size)\n",
|
|
"# print ('===========================================================')\n",
|
|
"\n",
|
|
"# Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"# sample_test['Selected'] = 0\n",
|
|
"sample_test.loc[:, 'Selected'] = 0\n",
|
|
"\n",
|
|
"# Selecting m random rows without replacement\n",
|
|
"np.random.seed(125)\n",
|
|
"selected_indices = np.random.choice(sample_test.index, size = batch, replace = False)\n",
|
|
"\n",
|
|
"sample_test.loc[selected_indices, 'Selected'] = 1 \n",
|
|
"\n",
|
|
"chosen_idx = sample_test[sample_test['Selected'] == 1].index\n",
|
|
"\n",
|
|
"cnt_thrown_idx1 = 0\n",
|
|
"cnt_thrown_idx2 = 0\n",
|
|
"\n",
|
|
"for idx in chosen_idx: \n",
|
|
" if (idx-(sl-1) < 0):\n",
|
|
" # print ('scratch index on a left: ', idx)\n",
|
|
" cnt_thrown_idx1 = cnt_thrown_idx1 + 1\n",
|
|
" # print ('cnt_thrown_idx1: ', cnt_thrown_idx1)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"for idx in chosen_idx:\n",
|
|
" if (idx+(frwd+1) > sample_size):\n",
|
|
" # print ('scratch index on a right: ', idx)\n",
|
|
" cnt_thrown_idx2 = cnt_thrown_idx2 + 1\n",
|
|
" # print ('cnt_thrown_idx2: ', cnt_thrown_idx2)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"cnt_thrown_idx = cnt_thrown_idx1 + cnt_thrown_idx2\n",
|
|
"\n",
|
|
"all_ts_close_xrp = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_eth = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_ltc = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"all_ts_volume_xrp = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_eth = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_ltc = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"aft_ts_close_xrp = np.empty((1))\n",
|
|
"aft_ts_close_eth = np.empty((1))\n",
|
|
"aft_ts_close_ltc = np.empty((1))\n",
|
|
"aft_ts_close_btc = np.empty((1))\n",
|
|
"\n",
|
|
"for idx in chosen_idx:\n",
|
|
" selected_rows_before = sample_test.iloc[max(0, idx-sl): idx]\n",
|
|
" selected_rows_after = sample_test.iloc[max(0, idx): idx+frwd]\n",
|
|
" # print ('idx: ', idx)\n",
|
|
"\n",
|
|
" # xrp\n",
|
|
" sr_before_close_xrp = np.array(selected_rows_before['close_xrp'])\n",
|
|
" sr_after_close_xrp = np.array(selected_rows_after['close_xrp']) \n",
|
|
" # print (sr_before_close_xrp)\n",
|
|
" sr_before_volume_xrp = np.array(selected_rows_before['volume_xrp'])\n",
|
|
" sr_after_volume_xrp = np.array(selected_rows_after['volume_xrp']) \n",
|
|
" # print (sr_before_volume_xrp) \n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_xrp = np.average(sr_after_close_xrp, weights = sr_after_volume_xrp)\n",
|
|
" # print ('XRP w.average: ', weighted_avg_xrp)\n",
|
|
"\n",
|
|
"# eth\n",
|
|
" sr_before_close_eth = np.array(selected_rows_before['close_eth'])\n",
|
|
" sr_after_close_eth = np.array(selected_rows_after['close_eth'])\n",
|
|
" sr_before_volume_eth = np.array(selected_rows_before['volume_eth'])\n",
|
|
" sr_after_volume_eth = np.array(selected_rows_after['volume_eth'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_eth = np.average(sr_after_close_eth, weights = sr_after_volume_eth)\n",
|
|
" # print ('ETH w.average: ', weighted_avg_eth)\n",
|
|
" \n",
|
|
"# ltc\n",
|
|
" sr_before_close_ltc = np.array(selected_rows_before['close_ltc'])\n",
|
|
" sr_after_close_ltc = np.array(selected_rows_after['close_ltc'])\n",
|
|
" sr_before_volume_ltc = np.array(selected_rows_before['volume_ltc'])\n",
|
|
" sr_after_volume_ltc = np.array(selected_rows_after['volume_ltc'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_ltc = np.average(sr_after_close_ltc, weights = sr_after_volume_ltc)\n",
|
|
" # print ('LTC w.average: ', weighted_avg_ltc)\n",
|
|
"\n",
|
|
"# btc\n",
|
|
" sr_before_close_btc = np.array(selected_rows_before['close_btc'])\n",
|
|
" sr_after_close_btc = np.array(selected_rows_after['close_btc'])\n",
|
|
" sr_before_volume_btc = np.array(selected_rows_before['volume_btc'])\n",
|
|
" sr_after_volume_btc = np.array(selected_rows_after['volume_btc'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_btc = np.average(sr_after_close_btc, weights = sr_after_volume_btc)\n",
|
|
" # print ('BTC w.average: ', weighted_avg_btc)\n",
|
|
"\n",
|
|
"# xrp\n",
|
|
" all_ts_close_xrp = np.concatenate((all_ts_close_xrp, sr_before_close_xrp))\n",
|
|
" all_ts_volume_xrp = np.concatenate((all_ts_volume_xrp, sr_before_volume_xrp))\n",
|
|
"# eth\n",
|
|
" all_ts_close_eth = np.concatenate((all_ts_close_eth, sr_before_close_eth))\n",
|
|
" all_ts_volume_eth = np.concatenate((all_ts_volume_eth, sr_before_volume_eth))\n",
|
|
"# ltc\n",
|
|
" all_ts_close_ltc = np.concatenate((all_ts_close_ltc, sr_before_close_ltc))\n",
|
|
" all_ts_volume_ltc = np.concatenate((all_ts_volume_ltc, sr_before_volume_ltc))\n",
|
|
"# btc\n",
|
|
" all_ts_close_btc = np.concatenate((all_ts_close_btc, sr_before_close_btc))\n",
|
|
" all_ts_volume_btc = np.concatenate((all_ts_volume_btc, sr_before_volume_btc))\n",
|
|
"\n",
|
|
" aft_ts_close_xrp = np.concatenate((aft_ts_close_xrp, sr_after_close_xrp))\n",
|
|
" aft_ts_close_eth = np.concatenate((aft_ts_close_eth, sr_after_close_eth))\n",
|
|
" aft_ts_close_ltc = np.concatenate((aft_ts_close_ltc, sr_after_close_ltc))\n",
|
|
" aft_ts_close_btc = np.concatenate((aft_ts_close_btc, sr_after_close_btc))\n",
|
|
"\n",
|
|
"X_XRP_close = all_ts_close_xrp[1:]\n",
|
|
"X_XRP_volume = all_ts_volume_xrp[1:]\n",
|
|
"\n",
|
|
"X_ETH_close = all_ts_close_eth[1:]\n",
|
|
"X_ETH_volume = all_ts_volume_eth[1:]\n",
|
|
"\n",
|
|
"X_LTC_close = all_ts_close_ltc[1:]\n",
|
|
"X_LTC_volume = all_ts_volume_ltc[1:]\n",
|
|
"\n",
|
|
"X_BTC_close = all_ts_close_btc[1:]\n",
|
|
"X_BTC_volume = all_ts_volume_btc[1:]\n",
|
|
"\n",
|
|
"# X0 = np.column_stack((X_XRP_close, X_XRP_volume, \n",
|
|
"# X_ETH_close, X_ETH_volume, \n",
|
|
"# X_LTC_close, X_LTC_volume, \n",
|
|
"# X_BTC_close, X_BTC_volume))\n",
|
|
"\n",
|
|
"X0 = np.column_stack((X_XRP_close,\n",
|
|
" X_ETH_close,\n",
|
|
" X_LTC_close,\n",
|
|
" X_BTC_close))\n",
|
|
"# print (X0)\n",
|
|
"\n",
|
|
"# ================ Model Input ===========================\n",
|
|
"X = X0.reshape(batch-cnt_thrown_idx, sl, n_features)\n",
|
|
"# print ('================ original series =================') \n",
|
|
"# print ('XXXX ====== Actual Input ====== XXXX')\n",
|
|
"# print (X)\n",
|
|
"# print (X.shape)\n",
|
|
"\n",
|
|
"# print ('================== trend lines ===================') \n",
|
|
"\n",
|
|
"y_XRP = aft_ts_close_xrp[1:]\n",
|
|
"y_ETH = aft_ts_close_eth[1:]\n",
|
|
"y_LTC = aft_ts_close_ltc[1:]\n",
|
|
"y_BTC = aft_ts_close_btc[1:]\n",
|
|
"# print ('y_BTC: ', y_BTC)\n",
|
|
"\n",
|
|
"y = np.column_stack((y_XRP, y_ETH, y_LTC, y_BTC))\n",
|
|
"# print (y)\n",
|
|
"\n",
|
|
"y = y.reshape(batch-cnt_thrown_idx, frwd, n_out)\n",
|
|
"# print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"# print (y)\n",
|
|
"# print (y.shape)\n",
|
|
"\n",
|
|
"X_trend = np.zeros((batch-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print ('X_trend')\n",
|
|
"# print (X_trend)\n",
|
|
"\n",
|
|
"X_detrend = np.zeros((batch-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print ('X_detrend')\n",
|
|
"# print (X_detrend)\n",
|
|
"\n",
|
|
"y_trend = np.zeros((batch-cnt_thrown_idx, frwd, n_out))\n",
|
|
"# print ('y_trend')\n",
|
|
"# print (y_trend)\n",
|
|
"\n",
|
|
"for j in range(batch-cnt_thrown_idx):\n",
|
|
" df_trend = pd.DataFrame(X[j], columns = crypto_list)\n",
|
|
" # print (df_trend)\n",
|
|
" \n",
|
|
"# XRP\n",
|
|
" coef_xrp = np.polyfit(np.arange(len(df_trend)), df_trend['XRP'], 1)\n",
|
|
" # print (\"coef_xrp: \", coef_xrp) \n",
|
|
" trend_line_xrp = np.polyval(coef_xrp, np.arange(len(df_trend)))\n",
|
|
" detrended_series_xrp = df_trend['XRP'] - trend_line_xrp\n",
|
|
" detrend_xrp = detrended_series_xrp.to_numpy() \n",
|
|
"\n",
|
|
" y_xrp_trend = np.empty(frwd)\n",
|
|
" # print ('y_xrp_trend: ', y_xrp_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_xrp_trend[f] = coef_xrp[0]*(len(df_trend)+f) + coef_xrp[1] \n",
|
|
" # print (y_xrp_trend[f])\n",
|
|
"\n",
|
|
" # ETH\n",
|
|
" coef_eth = np.polyfit(np.arange(len(df_trend)), df_trend['ETH'], 1)\n",
|
|
" # print (\"coef_eth: \", coef_eth)\n",
|
|
" trend_line_eth = np.polyval(coef_eth, np.arange(len(df_trend)))\n",
|
|
" detrended_series_eth = df_trend['ETH'] - trend_line_eth\n",
|
|
" detrend_eth = detrended_series_eth.to_numpy()\n",
|
|
"\n",
|
|
" y_eth_trend = np.empty(frwd)\n",
|
|
" # print ('y_eth_trend: ', y_eth_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_eth_trend[f] = coef_eth[0]*(len(df_trend)+f) + coef_eth[1] \n",
|
|
" # print (y_eth_trend[f])\n",
|
|
" \n",
|
|
"# LTC \n",
|
|
" coef_ltc = np.polyfit(np.arange(len(df_trend)), df_trend['LTC'], 1)\n",
|
|
" # print (\"coef_ltc: \", coef_ltc)\n",
|
|
" trend_line_ltc = np.polyval(coef_ltc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_ltc = df_trend['LTC'] - trend_line_ltc\n",
|
|
" detrend_ltc = detrended_series_ltc.to_numpy()\n",
|
|
"\n",
|
|
" y_ltc_trend = np.empty(frwd)\n",
|
|
" # print ('y_ltc_trend: ', y_ltc_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_ltc_trend[f] = coef_ltc[0]*(len(df_trend) + f) + coef_ltc[1] \n",
|
|
" # print (y_ltc_trend[f])\n",
|
|
"\n",
|
|
"# BTC \n",
|
|
" coef_btc = np.polyfit(np.arange(len(df_trend)), df_trend['BTC'], 1)\n",
|
|
" # print (\"coef_btc: \", coef_btc)\n",
|
|
" trend_line_btc = np.polyval(coef_btc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_btc = df_trend['BTC'] - trend_line_btc\n",
|
|
" detrend_btc = detrended_series_btc.to_numpy()\n",
|
|
"\n",
|
|
" y_btc_trend = np.empty(frwd)\n",
|
|
" # print ('y_btc_trend: ', y_btc_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_btc_trend[f] = coef_btc[0]*(len(df_trend) + f) + coef_btc[1] \n",
|
|
" # print (y_btc_trend[f])\n",
|
|
"\n",
|
|
" # print ('y_btc_trend: ', y_btc_trend)\n",
|
|
" # print ('type of y_btc_trend: ', type (y_btc_trend))\n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" trend_dict = {'XRP' : trend_line_xrp, \n",
|
|
" 'ETH' : trend_line_eth, \n",
|
|
" 'LTC' : trend_line_ltc, \n",
|
|
" 'BTC' : trend_line_btc\n",
|
|
" }\n",
|
|
" df = pd.DataFrame(trend_dict)\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
" \n",
|
|
" X0_trend = df.to_numpy()\n",
|
|
" \n",
|
|
" X_trend[j] += X0_trend \n",
|
|
"\n",
|
|
" detrend_dict = {'XRP' : detrend_xrp, \n",
|
|
" 'ETH' : detrend_eth, \n",
|
|
" 'LTC' : detrend_ltc, \n",
|
|
" 'BTC' : detrend_btc\n",
|
|
" }\n",
|
|
" \n",
|
|
" df = pd.DataFrame(detrend_dict)\n",
|
|
"\n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in detrend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
" X0_detrend = df.to_numpy()\n",
|
|
"\n",
|
|
" X_detrend[j] += X0_detrend \n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" # y_trend_dict = {'XRP' : np.array([y_xrp_trend]), \n",
|
|
" # 'ETH' : np.array([y_eth_trend]), \n",
|
|
" # 'LTC' : np.array([y_ltc_trend]), \n",
|
|
" # 'BTC' : np.array([y_btc_trend])\n",
|
|
" # }\n",
|
|
"\n",
|
|
" # Create a dictionary with the data\n",
|
|
" y_trend_dict = {'XRP' : y_xrp_trend, \n",
|
|
" 'ETH' : y_eth_trend, \n",
|
|
" 'LTC' : y_ltc_trend, \n",
|
|
" 'BTC' : y_btc_trend\n",
|
|
" }\n",
|
|
" # print (y_trend_dict)\n",
|
|
"\n",
|
|
" df1 = pd.DataFrame(y_trend_dict)\n",
|
|
"\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for key, value in y_trend_dict.items():\n",
|
|
" # print(f\"{key}: {value}\")\n",
|
|
" df1[key] = value\n",
|
|
"\n",
|
|
" y_tr = df1.to_numpy()\n",
|
|
" y_trend[j] += y_tr\n",
|
|
" \n",
|
|
"y_detrend = y - y_trend\n",
|
|
"# print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"# print (y)\n",
|
|
"# print (y.shape)\n",
|
|
"\n",
|
|
"# print ('YYYY ====== Trend Input ======= YYYY')\n",
|
|
"# print (y_trend)\n",
|
|
"# print (type(y_trend))\n",
|
|
"# print (y_trend.shape)\n",
|
|
"\n",
|
|
"# print ('YYYY ====== De-Trend Input ======= YYYY')\n",
|
|
"# print (y_detrend)\n",
|
|
"# print (type(y_detrend))\n",
|
|
"# print (y_detrend.shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e1c307f6-ef61-4222-9fcf-fc0db6151551",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "afe7fd8d-5feb-49a6-b093-477558effb58",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "08493782-d1af-408c-a9ad-1646376d7f45",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"''' Keep this for reference 07.20.2024 '''"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 374,
|
|
"id": "4edcdbdb-85fb-415e-a6c4-71cc383c4410",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample_size: 42013\n",
|
|
"=============================================\n",
|
|
"[22585]\n",
|
|
"=============================================\n",
|
|
"(1, 5, 4)\n",
|
|
"================ original series =================\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(1, 8, 4)\n",
|
|
"================== trend lines ===================\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(1, 8, 4)\n",
|
|
"================== fluctuations ===================\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(1, 8, 4)\n",
|
|
"YYYY ====== Actual Input ====== YYYY\n",
|
|
"(1, 5, 4)\n",
|
|
"YYYY ====== Trend Input ======= YYYY\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(1, 5, 4)\n",
|
|
"YYYY ====== De-Trend Input ======= YYYY\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(1, 5, 4)\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/tmp/ipykernel_12052/1935672674.py:20: SettingWithCopyWarning: \n",
|
|
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
|
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
|
"\n",
|
|
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
|
" sample_test['Selected'] = 0\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# De-Trend Model\n",
|
|
"# variables are close and volume\n",
|
|
"# ==============================\n",
|
|
"# Test Sample --- 06.20.2024\n",
|
|
"# ==============================\n",
|
|
"sample_size = sample_test.shape[0]\n",
|
|
"print ('sample_size: ', sample_size)\n",
|
|
"print ('=============================================')\n",
|
|
"# Model Input\n",
|
|
"# =============================================\n",
|
|
"sl = 8 # <--- sequence length\n",
|
|
"batch = 1 # <--- batch size\n",
|
|
"n_features = 4 # <---- no. of variables\n",
|
|
"n_out = 4 # <----- no. of predicted variables\n",
|
|
"frwd = 5 # <--- how many to predict\n",
|
|
"# =============================================\n",
|
|
"\n",
|
|
"# Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"sample_test['Selected'] = 0\n",
|
|
"\n",
|
|
"# Selecting m random rows without replacement\n",
|
|
"np.random.seed(125)\n",
|
|
"selected_indices = np.random.choice(sample_test.index, size = batch, replace = False)\n",
|
|
"\n",
|
|
"sample_test.loc[selected_indices, 'Selected'] = 1 # print (sample_test[sample_test['Selected'] == 1])\n",
|
|
"chosen_idx1 = sample_test[sample_test['Selected'] == 1].index\n",
|
|
"chosen_idx2 = chosen_idx1[chosen_idx1 > sl]\n",
|
|
"\n",
|
|
"thrown_idx1 = chosen_idx1[chosen_idx1 <= sl]\n",
|
|
"cnt_thrown_idx1 = len(thrown_idx1)\n",
|
|
"\n",
|
|
"chosen_idx3 = chosen_idx2[chosen_idx2 < (sample_size - frwd)]\n",
|
|
"\n",
|
|
"thrown_idx2 = chosen_idx2[chosen_idx2 >= (sample_size - frwd)]\n",
|
|
"cnt_thrown_idx2 = len(thrown_idx2)\n",
|
|
"\n",
|
|
"cnt_thrown_idx = cnt_thrown_idx1 + cnt_thrown_idx2\n",
|
|
"\n",
|
|
"print (selected_indices)\n",
|
|
"print ('=============================================')\n",
|
|
"\n",
|
|
"\n",
|
|
"all_ts_close_xrp = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_eth = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_ltc = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"all_ts_volume_xrp = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_eth = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_ltc = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"stdev_xrp = np.empty((1, )) # final input/output\n",
|
|
"stdev_eth = np.empty((1, )) # final input/output\n",
|
|
"stdev_ltc = np.empty((1, )) # final input/output\n",
|
|
"stdev_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"aft_ts_close_xrp = np.empty((1))\n",
|
|
"aft_ts_close_eth = np.empty((1))\n",
|
|
"aft_ts_close_ltc = np.empty((1))\n",
|
|
"aft_ts_close_btc = np.empty((1))\n",
|
|
"\n",
|
|
"for idx in chosen_idx3:\n",
|
|
" selected_rows_before = sample_test.iloc[max(0, idx-sl): idx]\n",
|
|
" selected_rows_after = sample_test.iloc[max(0, idx): idx+frwd]\n",
|
|
"\n",
|
|
" # xrp\n",
|
|
" sr_before_close_xrp = np.array(selected_rows_before['close_xrp'])\n",
|
|
" sr_after_close_xrp = np.array(selected_rows_after['close_xrp']) \n",
|
|
" # print (sr_before_close_xrp)\n",
|
|
" sr_before_volume_xrp = np.array(selected_rows_before['volume_xrp'])\n",
|
|
" sr_after_volume_xrp = np.array(selected_rows_after['volume_xrp']) \n",
|
|
" # print (sr_before_volume_xrp) \n",
|
|
"# Compute standard deviation\n",
|
|
" std_dev_xrp = np.std(sr_before_close_xrp)\n",
|
|
" std_dev_xrp_arr = np.repeat(std_dev_xrp, sl)\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_xrp = np.average(sr_after_close_xrp, weights = sr_after_volume_xrp)\n",
|
|
" # print ('XRP w.average: ', weighted_avg_xrp)\n",
|
|
"\n",
|
|
"# eth\n",
|
|
" sr_before_close_eth = np.array(selected_rows_before['close_eth'])\n",
|
|
" sr_after_close_eth = np.array(selected_rows_after['close_eth'])\n",
|
|
" sr_before_volume_eth = np.array(selected_rows_before['volume_eth'])\n",
|
|
" sr_after_volume_eth = np.array(selected_rows_after['volume_eth'])\n",
|
|
"# Compute standard deviation\n",
|
|
" std_dev_eth = np.std(sr_before_close_eth)\n",
|
|
" std_dev_eth_arr = np.repeat(std_dev_eth, sl)\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_eth = np.average(sr_after_close_eth, weights = sr_after_volume_eth)\n",
|
|
" # print ('ETH w.average: ', weighted_avg_eth)\n",
|
|
" \n",
|
|
"# ltc\n",
|
|
" sr_before_close_ltc = np.array(selected_rows_before['close_ltc'])\n",
|
|
" sr_after_close_ltc = np.array(selected_rows_after['close_ltc'])\n",
|
|
" sr_before_volume_ltc = np.array(selected_rows_before['volume_ltc'])\n",
|
|
" sr_after_volume_ltc = np.array(selected_rows_after['volume_ltc'])\n",
|
|
"# Compute standard deviation\n",
|
|
" std_dev_ltc = np.std(sr_before_close_ltc)\n",
|
|
" std_dev_ltc_arr = np.repeat(std_dev_ltc, sl)\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_ltc = np.average(sr_after_close_ltc, weights = sr_after_volume_ltc)\n",
|
|
" # print ('LTC w.average: ', weighted_avg_ltc)\n",
|
|
"\n",
|
|
"# btc\n",
|
|
" sr_before_close_btc = np.array(selected_rows_before['close_btc'])\n",
|
|
" sr_after_close_btc = np.array(selected_rows_after['close_btc'])\n",
|
|
" sr_before_volume_btc = np.array(selected_rows_before['volume_btc'])\n",
|
|
" sr_after_volume_btc = np.array(selected_rows_after['volume_btc'])\n",
|
|
"# Compute standard deviation\n",
|
|
" std_dev_btc = np.std(sr_before_close_btc)\n",
|
|
" std_dev_btc_arr = np.repeat(std_dev_btc, sl)\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_btc = np.average(sr_after_close_btc, weights = sr_after_volume_btc)\n",
|
|
" # print ('BTC w.average: ', weighted_avg_btc)\n",
|
|
"\n",
|
|
"# xrp\n",
|
|
" all_ts_close_xrp = np.concatenate((all_ts_close_xrp, sr_before_close_xrp))\n",
|
|
" all_ts_volume_xrp = np.concatenate((all_ts_volume_xrp, sr_before_volume_xrp))\n",
|
|
" stdev_xrp = np.concatenate((stdev_xrp, std_dev_xrp_arr))\n",
|
|
"# eth\n",
|
|
" all_ts_close_eth = np.concatenate((all_ts_close_eth, sr_before_close_eth))\n",
|
|
" all_ts_volume_eth = np.concatenate((all_ts_volume_eth, sr_before_volume_eth))\n",
|
|
" stdev_eth = np.concatenate((stdev_eth, std_dev_eth_arr))\n",
|
|
"# ltc\n",
|
|
" stdev_ltc = np.concatenate((stdev_ltc, std_dev_ltc_arr))\n",
|
|
" all_ts_close_ltc = np.concatenate((all_ts_close_ltc, sr_before_close_ltc))\n",
|
|
" all_ts_volume_ltc = np.concatenate((all_ts_volume_ltc, sr_before_volume_ltc))\n",
|
|
"# btc\n",
|
|
" all_ts_close_btc = np.concatenate((all_ts_close_btc, sr_before_close_btc))\n",
|
|
" all_ts_volume_btc = np.concatenate((all_ts_volume_btc, sr_before_volume_btc))\n",
|
|
" stdev_btc = np.concatenate((stdev_btc, std_dev_btc_arr))\n",
|
|
"\n",
|
|
" aft_ts_close_xrp = np.concatenate((aft_ts_close_xrp, sr_after_close_xrp))\n",
|
|
" aft_ts_close_eth = np.concatenate((aft_ts_close_eth, sr_after_close_eth))\n",
|
|
" aft_ts_close_ltc = np.concatenate((aft_ts_close_ltc, sr_after_close_ltc))\n",
|
|
" aft_ts_close_btc = np.concatenate((aft_ts_close_btc, sr_after_close_btc))\n",
|
|
"\n",
|
|
"X_XRP_close = all_ts_close_xrp[1:]\n",
|
|
"X_XRP_volume = all_ts_volume_xrp[1:]\n",
|
|
"X_XRP_stdev = stdev_xrp[1:]\n",
|
|
"\n",
|
|
"X_ETH_close = all_ts_close_eth[1:]\n",
|
|
"X_ETH_volume = all_ts_volume_eth[1:]\n",
|
|
"X_ETH_stdev = stdev_eth[1:]\n",
|
|
"\n",
|
|
"X_LTC_close = all_ts_close_ltc[1:]\n",
|
|
"X_LTC_volume = all_ts_volume_ltc[1:]\n",
|
|
"X_LTC_stdev = stdev_ltc[1:]\n",
|
|
"\n",
|
|
"X_BTC_close = all_ts_close_btc[1:]\n",
|
|
"X_BTC_volume = all_ts_volume_btc[1:]\n",
|
|
"X_BTC_stdev = stdev_btc[1:]\n",
|
|
"\n",
|
|
"# X0 = np.column_stack((X_XRP_close, X_XRP_volume, \n",
|
|
"# X_ETH_close, X_ETH_volume, \n",
|
|
"# X_LTC_close, X_LTC_volume, \n",
|
|
"# X_BTC_close, X_BTC_volume))\n",
|
|
"\n",
|
|
"X0 = np.column_stack((X_XRP_close,\n",
|
|
" X_ETH_close,\n",
|
|
" X_LTC_close,\n",
|
|
" X_BTC_close))\n",
|
|
"# print (X0)\n",
|
|
"\n",
|
|
"# ======== Model Input =========\n",
|
|
"X = X0.reshape(batch-cnt_thrown_idx, sl, n_features)\n",
|
|
"# print ('================ original series =================') \n",
|
|
"# print ('XXXX ====== Actual Input ====== XXXX')\n",
|
|
"# print (X)\n",
|
|
"# print (X.shape)\n",
|
|
"\n",
|
|
"# print ('================== trend lines ===================') \n",
|
|
"\n",
|
|
"\n",
|
|
"y_XRP = aft_ts_close_xrp[1:]\n",
|
|
"y_ETH = aft_ts_close_eth[1:]\n",
|
|
"y_LTC = aft_ts_close_ltc[1:]\n",
|
|
"y_BTC = aft_ts_close_btc[1:]\n",
|
|
"\n",
|
|
"y = np.column_stack((y_XRP, y_ETH, y_LTC, y_BTC))\n",
|
|
"# print (y)\n",
|
|
"\n",
|
|
"y = y.reshape(batch-cnt_thrown_idx, frwd, n_out)\n",
|
|
"# print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"print (y.shape)\n",
|
|
"\n",
|
|
"\n",
|
|
"def detrend_series(series):\n",
|
|
" trend = np.polyfit(np.arange(len(series)), series.values, 1)\n",
|
|
" trend_line = np.polyval(trend, np.arange(len(series)))\n",
|
|
" detrended_series = series - trend_line\n",
|
|
" return detrended_series\n",
|
|
"\n",
|
|
"\n",
|
|
"crypto_list = ['XRP', 'ETH', 'LTC', 'BTC']\n",
|
|
"X_trend = np.zeros((batch-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print (X_trend)\n",
|
|
"X_detrend = np.zeros((batch-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print (X_detrend)\n",
|
|
"y_trend = np.zeros((batch-cnt_thrown_idx, frwd, n_out))\n",
|
|
"# print (y_trend)\n",
|
|
"\n",
|
|
"for j in range(batch-cnt_thrown_idx):\n",
|
|
" df_trend = pd.DataFrame(X[j], columns = crypto_list)\n",
|
|
" # print (df_trend)\n",
|
|
" # print (j)\n",
|
|
"# XRP\n",
|
|
" coef_xrp = np.polyfit(np.arange(len(df_trend)), df_trend['XRP'], 1)\n",
|
|
" # print (\"coef_xrp: \", coef_xrp) # coef_xrp: [-0.00074848 0.48839818]\n",
|
|
" trend_line_xrp = np.polyval(coef_xrp, np.arange(len(df_trend)))\n",
|
|
" detrended_series_xrp = df_trend['XRP'] - trend_line_xrp\n",
|
|
" detrend_xrp = detrended_series_xrp.to_numpy() \n",
|
|
"\n",
|
|
" y_xrp_trend = coef_xrp[0]*(len(df_trend)) + coef_xrp[1]\n",
|
|
" \n",
|
|
"# ETH\n",
|
|
" coef_eth = np.polyfit(np.arange(len(df_trend)), df_trend['ETH'], 1)\n",
|
|
" # print (\"coef_eth: \", coef_eth)\n",
|
|
" trend_line_eth = np.polyval(coef_eth, np.arange(len(df_trend)))\n",
|
|
" detrended_series_eth = df_trend['ETH'] - trend_line_eth\n",
|
|
" detrend_eth = detrended_series_eth.to_numpy()\n",
|
|
"\n",
|
|
" y_eth_trend = coef_eth[0]*(len(df_trend)) + coef_eth[1]\n",
|
|
" \n",
|
|
"# LTC \n",
|
|
" coef_ltc = np.polyfit(np.arange(len(df_trend)), df_trend['LTC'], 1)\n",
|
|
" # print (\"coef_ltc: \", coef_ltc)\n",
|
|
" trend_line_ltc = np.polyval(coef_ltc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_ltc = df_trend['LTC'] - trend_line_ltc\n",
|
|
" detrend_ltc = detrended_series_ltc.to_numpy()\n",
|
|
" \n",
|
|
" y_ltc_trend = coef_ltc[0]*(len(df_trend)) + coef_ltc[1]\n",
|
|
"\n",
|
|
"# BTC \n",
|
|
" coef_btc = np.polyfit(np.arange(len(df_trend)), df_trend['BTC'], 1)\n",
|
|
" # print (\"coef_btc: \", coef_btc)\n",
|
|
" trend_line_btc = np.polyval(coef_btc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_btc = df_trend['BTC'] - trend_line_btc\n",
|
|
" detrend_btc = detrended_series_btc.to_numpy()\n",
|
|
"\n",
|
|
" y_btc_trend = coef_btc[0]*(len(df_trend)) + coef_btc[1]\n",
|
|
"\n",
|
|
" # print (X[j])\n",
|
|
" # print (type(X[j]))\n",
|
|
" # print (X[j].shape)\n",
|
|
" # print ('==================================================')\n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" trend_dict = {'XRP' : trend_line_xrp, \n",
|
|
" 'ETH' : trend_line_eth, \n",
|
|
" 'LTC' : trend_line_ltc, \n",
|
|
" 'BTC' : trend_line_btc\n",
|
|
" }\n",
|
|
" df = pd.DataFrame(trend_dict)\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
" \n",
|
|
" X0_trend = df.to_numpy()\n",
|
|
" # print (X0_trend)\n",
|
|
" # print (type(X0_trend))\n",
|
|
" # print (X0_trend.shape)\n",
|
|
"\n",
|
|
" X_trend[j] += X0_trend \n",
|
|
"\n",
|
|
" detrend_dict = {'XRP' : detrend_xrp, \n",
|
|
" 'ETH' : detrend_eth, \n",
|
|
" 'LTC' : detrend_ltc, \n",
|
|
" 'BTC' : detrend_btc\n",
|
|
" }\n",
|
|
" # print ('detrend_dict')\n",
|
|
" # print (detrend_dict)\n",
|
|
" \n",
|
|
" df = pd.DataFrame(detrend_dict)\n",
|
|
"\n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in detrend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
" X0_detrend = df.to_numpy()\n",
|
|
" # print (X0_detrend)\n",
|
|
" # print (type(X0_detrend))\n",
|
|
" # print (X0_detrend.shape)\n",
|
|
"\n",
|
|
" X_detrend[j] += X0_detrend \n",
|
|
" \n",
|
|
" # print ('================ originalseries ==================') \n",
|
|
" # print (X)\n",
|
|
" # print (type(X))\n",
|
|
" # print (X_trend.shape)\n",
|
|
" \n",
|
|
" # print ('================== trend lines ===================') \n",
|
|
" # print (X_trend)\n",
|
|
" # print (type(X_trend))\n",
|
|
" # print (X_trend.shape)\n",
|
|
" \n",
|
|
" # print ('================== fluctuations ===================') \n",
|
|
" # print (X_detrend)\n",
|
|
" # print (type(X_detrend))\n",
|
|
" # print (X_detrend.shape)\n",
|
|
"\n",
|
|
" # print ('y_xrp_trend: ', y_xrp_trend)\n",
|
|
" # print ('y_eth_trend: ', y_eth_trend)\n",
|
|
" # print ('y_ltc_trend: ', y_ltc_trend)\n",
|
|
" # print ('y_btc_trend: ', y_btc_trend)\n",
|
|
"\n",
|
|
" # print (type(y_xpr_trend))\n",
|
|
" # print (y_xpr_trend.shape)\n",
|
|
"\n",
|
|
" # Create a dictionary with the data\n",
|
|
" y_trend_dict = {'XRP' : np.array([y_xrp_trend]), \n",
|
|
" 'ETH' : np.array([y_eth_trend]), \n",
|
|
" 'LTC' : np.array([y_ltc_trend]), \n",
|
|
" 'BTC' : np.array([y_btc_trend])\n",
|
|
" }\n",
|
|
" # print (y_trend_dict)\n",
|
|
"\n",
|
|
" df1 = pd.DataFrame(y_trend_dict)\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for key, value in y_trend_dict.items():\n",
|
|
" # print(f\"{key}: {value}\")\n",
|
|
" df1[key] = value\n",
|
|
"\n",
|
|
" y_tr = df1.to_numpy()\n",
|
|
" y_trend[j] += y_tr\n",
|
|
"\n",
|
|
"print ('================ original series =================') \n",
|
|
"# print (X)\n",
|
|
"print (type(X))\n",
|
|
"print (X_trend.shape)\n",
|
|
"\n",
|
|
"print ('================== trend lines ===================') \n",
|
|
"# print (X_trend)\n",
|
|
"print (type(X_trend))\n",
|
|
"print (X_trend.shape)\n",
|
|
"\n",
|
|
"print ('================== fluctuations ===================') \n",
|
|
"# print (X_detrend)\n",
|
|
"print (type(X_detrend))\n",
|
|
"print (X_detrend.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"# print (y)\n",
|
|
"print (y.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== Trend Input ======= YYYY')\n",
|
|
"# print (y_trend)\n",
|
|
"print (type(y_trend))\n",
|
|
"print (y_trend.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== De-Trend Input ======= YYYY')\n",
|
|
"y_detrend = y - y_trend\n",
|
|
"# print (y_detrend)\n",
|
|
"print (type(y_detrend))\n",
|
|
"print (y_detrend.shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "f2c12448-3f54-42d8-a668-0eb9f9be1fa3",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"''' Also for reference '''"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 417,
|
|
"id": "8a14e137-b2aa-4ecf-a044-d34930ff8a7f",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"==================================================\n",
|
|
"================ originalseries ==================\n",
|
|
"[[[0.4868 0.350832 0.779 0.677174 ]\n",
|
|
" [0.4866 0.351193 0.7795 0.6772912]\n",
|
|
" [0.4876 0.353344 0.7803 0.6792004]\n",
|
|
" [0.4872 0.353177 0.7798 0.6791705]\n",
|
|
" [0.4875 0.353262 0.78 0.6792673]\n",
|
|
" [0.4871 0.353043 0.7797 0.6791533]\n",
|
|
" [0.4819 0.348065 0.7933 0.6661308]\n",
|
|
" [0.4822 0.348321 0.7935 0.6665988]\n",
|
|
" [0.4817 0.347804 0.7919 0.6659405]\n",
|
|
" [0.4817 0.347927 0.7929 0.666058 ]]\n",
|
|
"\n",
|
|
" [[0.4912 0.355146 0.7961 0.6608529]\n",
|
|
" [0.4909 0.356019 0.7988 0.6610751]\n",
|
|
" [0.4914 0.355301 0.7965 0.6610207]\n",
|
|
" [0.4911 0.355165 0.7963 0.6609463]\n",
|
|
" [0.4905 0.355011 0.7967 0.6608 ]\n",
|
|
" [0.4901 0.355105 0.7968 0.6608531]\n",
|
|
" [0.49 0.35507 0.7965 0.6608001]\n",
|
|
" [0.4898 0.354964 0.7963 0.6607066]\n",
|
|
" [0.4908 0.355174 0.7968 0.6609373]\n",
|
|
" [0.4904 0.355062 0.7969 0.6608471]]\n",
|
|
"\n",
|
|
" [[0.4922 0.351055 0.7344 0.6464964]\n",
|
|
" [0.4919 0.351305 0.7346 0.6468045]\n",
|
|
" [0.4915 0.351157 0.7349 0.6466907]\n",
|
|
" [0.4915 0.351322 0.7339 0.6469997]\n",
|
|
" [0.4915 0.351399 0.7341 0.6470494]\n",
|
|
" [0.4906 0.351147 0.737 0.6459061]\n",
|
|
" [0.492 0.350953 0.7333 0.6465835]\n",
|
|
" [0.4922 0.350958 0.7335 0.6464431]\n",
|
|
" [0.4921 0.350888 0.7328 0.6464784]\n",
|
|
" [0.4923 0.35085 0.7334 0.6464815]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(3, 10, 4)\n",
|
|
"================== trend lines ===================\n",
|
|
"[[[0.48839818 0.35316602 0.77631455 0.6812823 ]\n",
|
|
" [0.4876497 0.3526173 0.77824242 0.67957478]\n",
|
|
" [0.48690121 0.35206859 0.7801703 0.67786727]\n",
|
|
" [0.48615273 0.35151987 0.78209818 0.67615975]\n",
|
|
" [0.48540424 0.35097116 0.78402606 0.67445224]\n",
|
|
" [0.48465576 0.35042244 0.78595394 0.67274472]\n",
|
|
" [0.48390727 0.34987373 0.78788182 0.67103721]\n",
|
|
" [0.48315879 0.34932501 0.7898097 0.66932969]\n",
|
|
" [0.4824103 0.3487763 0.79173758 0.66762218]\n",
|
|
" [0.48166182 0.34822758 0.79366545 0.66591466]]\n",
|
|
"\n",
|
|
" [[0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]]\n",
|
|
"\n",
|
|
" [[0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(3, 10, 4)\n",
|
|
"================== fluctuations ===================\n",
|
|
"[[[-1.59818182e-03 -2.33401818e-03 2.68545455e-03 -4.10829818e-03]\n",
|
|
" [-1.04969697e-03 -1.42430303e-03 1.25757576e-03 -2.28358303e-03]\n",
|
|
" [ 6.98787879e-04 1.27541212e-03 1.29696970e-04 1.33313212e-03]\n",
|
|
" [ 1.04727273e-03 1.65712727e-03 -2.29818182e-03 3.01074727e-03]\n",
|
|
" [ 2.09575758e-03 2.29084242e-03 -4.02606061e-03 4.81506242e-03]\n",
|
|
" [ 2.44424242e-03 2.62055758e-03 -6.25393939e-03 6.40857758e-03]\n",
|
|
" [-2.00727273e-03 -1.80872727e-03 5.41818182e-03 -4.90640727e-03]\n",
|
|
" [-9.58787879e-04 -1.00401212e-03 3.69030303e-03 -2.73089212e-03]\n",
|
|
" [-7.10303030e-04 -9.72296970e-04 1.62424242e-04 -1.68167697e-03]\n",
|
|
" [ 3.81818182e-05 -3.00581818e-04 -7.65454545e-04 1.43338182e-04]]\n",
|
|
"\n",
|
|
" [[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]]\n",
|
|
"\n",
|
|
" [[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(3, 10, 4)\n",
|
|
"==================================================\n",
|
|
"================ originalseries ==================\n",
|
|
"[[[0.4868 0.350832 0.779 0.677174 ]\n",
|
|
" [0.4866 0.351193 0.7795 0.6772912]\n",
|
|
" [0.4876 0.353344 0.7803 0.6792004]\n",
|
|
" [0.4872 0.353177 0.7798 0.6791705]\n",
|
|
" [0.4875 0.353262 0.78 0.6792673]\n",
|
|
" [0.4871 0.353043 0.7797 0.6791533]\n",
|
|
" [0.4819 0.348065 0.7933 0.6661308]\n",
|
|
" [0.4822 0.348321 0.7935 0.6665988]\n",
|
|
" [0.4817 0.347804 0.7919 0.6659405]\n",
|
|
" [0.4817 0.347927 0.7929 0.666058 ]]\n",
|
|
"\n",
|
|
" [[0.4912 0.355146 0.7961 0.6608529]\n",
|
|
" [0.4909 0.356019 0.7988 0.6610751]\n",
|
|
" [0.4914 0.355301 0.7965 0.6610207]\n",
|
|
" [0.4911 0.355165 0.7963 0.6609463]\n",
|
|
" [0.4905 0.355011 0.7967 0.6608 ]\n",
|
|
" [0.4901 0.355105 0.7968 0.6608531]\n",
|
|
" [0.49 0.35507 0.7965 0.6608001]\n",
|
|
" [0.4898 0.354964 0.7963 0.6607066]\n",
|
|
" [0.4908 0.355174 0.7968 0.6609373]\n",
|
|
" [0.4904 0.355062 0.7969 0.6608471]]\n",
|
|
"\n",
|
|
" [[0.4922 0.351055 0.7344 0.6464964]\n",
|
|
" [0.4919 0.351305 0.7346 0.6468045]\n",
|
|
" [0.4915 0.351157 0.7349 0.6466907]\n",
|
|
" [0.4915 0.351322 0.7339 0.6469997]\n",
|
|
" [0.4915 0.351399 0.7341 0.6470494]\n",
|
|
" [0.4906 0.351147 0.737 0.6459061]\n",
|
|
" [0.492 0.350953 0.7333 0.6465835]\n",
|
|
" [0.4922 0.350958 0.7335 0.6464431]\n",
|
|
" [0.4921 0.350888 0.7328 0.6464784]\n",
|
|
" [0.4923 0.35085 0.7334 0.6464815]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(3, 10, 4)\n",
|
|
"================== trend lines ===================\n",
|
|
"[[[0.48839818 0.35316602 0.77631455 0.6812823 ]\n",
|
|
" [0.4876497 0.3526173 0.77824242 0.67957478]\n",
|
|
" [0.48690121 0.35206859 0.7801703 0.67786727]\n",
|
|
" [0.48615273 0.35151987 0.78209818 0.67615975]\n",
|
|
" [0.48540424 0.35097116 0.78402606 0.67445224]\n",
|
|
" [0.48465576 0.35042244 0.78595394 0.67274472]\n",
|
|
" [0.48390727 0.34987373 0.78788182 0.67103721]\n",
|
|
" [0.48315879 0.34932501 0.7898097 0.66932969]\n",
|
|
" [0.4824103 0.3487763 0.79173758 0.66762218]\n",
|
|
" [0.48166182 0.34822758 0.79366545 0.66591466]]\n",
|
|
"\n",
|
|
" [[0.49115455 0.3554348 0.79696364 0.660965 ]\n",
|
|
" [0.49103576 0.355383 0.79692061 0.66094698]\n",
|
|
" [0.49091697 0.3553312 0.79687758 0.66092896]\n",
|
|
" [0.49079818 0.3552794 0.79683455 0.66091095]\n",
|
|
" [0.49067939 0.3552276 0.79679152 0.66089293]\n",
|
|
" [0.49056061 0.3551758 0.79674848 0.66087491]\n",
|
|
" [0.49044182 0.355124 0.79670545 0.66085689]\n",
|
|
" [0.49032303 0.3550722 0.79666242 0.66083888]\n",
|
|
" [0.49020424 0.3550204 0.79661939 0.66082086]\n",
|
|
" [0.49008545 0.3549686 0.79657636 0.66080284]]\n",
|
|
"\n",
|
|
" [[0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]\n",
|
|
" [0. 0. 0. 0. ]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(3, 10, 4)\n",
|
|
"================== fluctuations ===================\n",
|
|
"[[[-1.59818182e-03 -2.33401818e-03 2.68545455e-03 -4.10829818e-03]\n",
|
|
" [-1.04969697e-03 -1.42430303e-03 1.25757576e-03 -2.28358303e-03]\n",
|
|
" [ 6.98787879e-04 1.27541212e-03 1.29696970e-04 1.33313212e-03]\n",
|
|
" [ 1.04727273e-03 1.65712727e-03 -2.29818182e-03 3.01074727e-03]\n",
|
|
" [ 2.09575758e-03 2.29084242e-03 -4.02606061e-03 4.81506242e-03]\n",
|
|
" [ 2.44424242e-03 2.62055758e-03 -6.25393939e-03 6.40857758e-03]\n",
|
|
" [-2.00727273e-03 -1.80872727e-03 5.41818182e-03 -4.90640727e-03]\n",
|
|
" [-9.58787879e-04 -1.00401212e-03 3.69030303e-03 -2.73089212e-03]\n",
|
|
" [-7.10303030e-04 -9.72296970e-04 1.62424242e-04 -1.68167697e-03]\n",
|
|
" [ 3.81818182e-05 -3.00581818e-04 -7.65454545e-04 1.43338182e-04]]\n",
|
|
"\n",
|
|
" [[ 4.54545455e-05 -2.88800000e-04 -8.63636364e-04 -1.12096364e-04]\n",
|
|
" [-1.35757576e-04 6.36000000e-04 1.87939394e-03 1.28120606e-04]\n",
|
|
" [ 4.83030303e-04 -3.02000000e-05 -3.77575758e-04 9.17375758e-05]\n",
|
|
" [ 3.01818182e-04 -1.14400000e-04 -5.34545455e-04 3.53545455e-05]\n",
|
|
" [-1.79393939e-04 -2.16600000e-04 -9.15151515e-05 -9.29284848e-05]\n",
|
|
" [-4.60606061e-04 -7.08000000e-05 5.15151515e-05 -2.18115152e-05]\n",
|
|
" [-4.41818182e-04 -5.40000000e-05 -2.05454545e-04 -5.67945455e-05]\n",
|
|
" [-5.23030303e-04 -1.08200000e-04 -3.62424242e-04 -1.32277576e-04]\n",
|
|
" [ 5.95757576e-04 1.53600000e-04 1.80606061e-04 1.16439394e-04]\n",
|
|
" [ 3.14545455e-04 9.34000000e-05 3.23636364e-04 4.42563636e-05]]\n",
|
|
"\n",
|
|
" [[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
|
|
" [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(3, 10, 4)\n",
|
|
"==================================================\n",
|
|
"================ originalseries ==================\n",
|
|
"[[[0.4868 0.350832 0.779 0.677174 ]\n",
|
|
" [0.4866 0.351193 0.7795 0.6772912]\n",
|
|
" [0.4876 0.353344 0.7803 0.6792004]\n",
|
|
" [0.4872 0.353177 0.7798 0.6791705]\n",
|
|
" [0.4875 0.353262 0.78 0.6792673]\n",
|
|
" [0.4871 0.353043 0.7797 0.6791533]\n",
|
|
" [0.4819 0.348065 0.7933 0.6661308]\n",
|
|
" [0.4822 0.348321 0.7935 0.6665988]\n",
|
|
" [0.4817 0.347804 0.7919 0.6659405]\n",
|
|
" [0.4817 0.347927 0.7929 0.666058 ]]\n",
|
|
"\n",
|
|
" [[0.4912 0.355146 0.7961 0.6608529]\n",
|
|
" [0.4909 0.356019 0.7988 0.6610751]\n",
|
|
" [0.4914 0.355301 0.7965 0.6610207]\n",
|
|
" [0.4911 0.355165 0.7963 0.6609463]\n",
|
|
" [0.4905 0.355011 0.7967 0.6608 ]\n",
|
|
" [0.4901 0.355105 0.7968 0.6608531]\n",
|
|
" [0.49 0.35507 0.7965 0.6608001]\n",
|
|
" [0.4898 0.354964 0.7963 0.6607066]\n",
|
|
" [0.4908 0.355174 0.7968 0.6609373]\n",
|
|
" [0.4904 0.355062 0.7969 0.6608471]]\n",
|
|
"\n",
|
|
" [[0.4922 0.351055 0.7344 0.6464964]\n",
|
|
" [0.4919 0.351305 0.7346 0.6468045]\n",
|
|
" [0.4915 0.351157 0.7349 0.6466907]\n",
|
|
" [0.4915 0.351322 0.7339 0.6469997]\n",
|
|
" [0.4915 0.351399 0.7341 0.6470494]\n",
|
|
" [0.4906 0.351147 0.737 0.6459061]\n",
|
|
" [0.492 0.350953 0.7333 0.6465835]\n",
|
|
" [0.4922 0.350958 0.7335 0.6464431]\n",
|
|
" [0.4921 0.350888 0.7328 0.6464784]\n",
|
|
" [0.4923 0.35085 0.7334 0.6464815]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(3, 10, 4)\n",
|
|
"================== trend lines ===================\n",
|
|
"[[[0.48839818 0.35316602 0.77631455 0.6812823 ]\n",
|
|
" [0.4876497 0.3526173 0.77824242 0.67957478]\n",
|
|
" [0.48690121 0.35206859 0.7801703 0.67786727]\n",
|
|
" [0.48615273 0.35151987 0.78209818 0.67615975]\n",
|
|
" [0.48540424 0.35097116 0.78402606 0.67445224]\n",
|
|
" [0.48465576 0.35042244 0.78595394 0.67274472]\n",
|
|
" [0.48390727 0.34987373 0.78788182 0.67103721]\n",
|
|
" [0.48315879 0.34932501 0.7898097 0.66932969]\n",
|
|
" [0.4824103 0.3487763 0.79173758 0.66762218]\n",
|
|
" [0.48166182 0.34822758 0.79366545 0.66591466]]\n",
|
|
"\n",
|
|
" [[0.49115455 0.3554348 0.79696364 0.660965 ]\n",
|
|
" [0.49103576 0.355383 0.79692061 0.66094698]\n",
|
|
" [0.49091697 0.3553312 0.79687758 0.66092896]\n",
|
|
" [0.49079818 0.3552794 0.79683455 0.66091095]\n",
|
|
" [0.49067939 0.3552276 0.79679152 0.66089293]\n",
|
|
" [0.49056061 0.3551758 0.79674848 0.66087491]\n",
|
|
" [0.49044182 0.355124 0.79670545 0.66085689]\n",
|
|
" [0.49032303 0.3550722 0.79666242 0.66083888]\n",
|
|
" [0.49020424 0.3550204 0.79661939 0.66082086]\n",
|
|
" [0.49008545 0.3549686 0.79657636 0.66080284]]\n",
|
|
"\n",
|
|
" [[0.49160545 0.35129753 0.73494 0.64675824]\n",
|
|
" [0.49164424 0.35125439 0.73477333 0.64672159]\n",
|
|
" [0.49168303 0.35121125 0.73460667 0.64668495]\n",
|
|
" [0.49172182 0.35116811 0.73444 0.6466483 ]\n",
|
|
" [0.49176061 0.35112497 0.73427333 0.64661165]\n",
|
|
" [0.49179939 0.35108183 0.73410667 0.64657501]\n",
|
|
" [0.49183818 0.35103869 0.73394 0.64653836]\n",
|
|
" [0.49187697 0.35099555 0.73377333 0.64650171]\n",
|
|
" [0.49191576 0.35095241 0.73360667 0.64646507]\n",
|
|
" [0.49195455 0.35090927 0.73344 0.64642842]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(3, 10, 4)\n",
|
|
"================== fluctuations ===================\n",
|
|
"[[[-1.59818182e-03 -2.33401818e-03 2.68545455e-03 -4.10829818e-03]\n",
|
|
" [-1.04969697e-03 -1.42430303e-03 1.25757576e-03 -2.28358303e-03]\n",
|
|
" [ 6.98787879e-04 1.27541212e-03 1.29696970e-04 1.33313212e-03]\n",
|
|
" [ 1.04727273e-03 1.65712727e-03 -2.29818182e-03 3.01074727e-03]\n",
|
|
" [ 2.09575758e-03 2.29084242e-03 -4.02606061e-03 4.81506242e-03]\n",
|
|
" [ 2.44424242e-03 2.62055758e-03 -6.25393939e-03 6.40857758e-03]\n",
|
|
" [-2.00727273e-03 -1.80872727e-03 5.41818182e-03 -4.90640727e-03]\n",
|
|
" [-9.58787879e-04 -1.00401212e-03 3.69030303e-03 -2.73089212e-03]\n",
|
|
" [-7.10303030e-04 -9.72296970e-04 1.62424242e-04 -1.68167697e-03]\n",
|
|
" [ 3.81818182e-05 -3.00581818e-04 -7.65454545e-04 1.43338182e-04]]\n",
|
|
"\n",
|
|
" [[ 4.54545455e-05 -2.88800000e-04 -8.63636364e-04 -1.12096364e-04]\n",
|
|
" [-1.35757576e-04 6.36000000e-04 1.87939394e-03 1.28120606e-04]\n",
|
|
" [ 4.83030303e-04 -3.02000000e-05 -3.77575758e-04 9.17375758e-05]\n",
|
|
" [ 3.01818182e-04 -1.14400000e-04 -5.34545455e-04 3.53545455e-05]\n",
|
|
" [-1.79393939e-04 -2.16600000e-04 -9.15151515e-05 -9.29284848e-05]\n",
|
|
" [-4.60606061e-04 -7.08000000e-05 5.15151515e-05 -2.18115152e-05]\n",
|
|
" [-4.41818182e-04 -5.40000000e-05 -2.05454545e-04 -5.67945455e-05]\n",
|
|
" [-5.23030303e-04 -1.08200000e-04 -3.62424242e-04 -1.32277576e-04]\n",
|
|
" [ 5.95757576e-04 1.53600000e-04 1.80606061e-04 1.16439394e-04]\n",
|
|
" [ 3.14545455e-04 9.34000000e-05 3.23636364e-04 4.42563636e-05]]\n",
|
|
"\n",
|
|
" [[ 5.94545455e-04 -2.42527273e-04 -5.40000000e-04 -2.61840000e-04]\n",
|
|
" [ 2.55757576e-04 5.06121212e-05 -1.73333333e-04 8.29066667e-05]\n",
|
|
" [-1.83030303e-04 -5.42484848e-05 2.93333333e-04 5.75333333e-06]\n",
|
|
" [-2.21818182e-04 1.53890909e-04 -5.40000000e-04 3.51400000e-04]\n",
|
|
" [-2.60606061e-04 2.74030303e-04 -1.73333333e-04 4.37746667e-04]\n",
|
|
" [-1.19939394e-03 6.51696970e-05 2.89333333e-03 -6.68906667e-04]\n",
|
|
" [ 1.61818182e-04 -8.56909091e-05 -6.40000000e-04 4.51400000e-05]\n",
|
|
" [ 3.23030303e-04 -3.75515152e-05 -2.73333333e-04 -5.86133333e-05]\n",
|
|
" [ 1.84242424e-04 -6.44121212e-05 -8.06666667e-04 1.33333333e-05]\n",
|
|
" [ 3.45454545e-04 -5.92727273e-05 -4.00000000e-05 5.30800000e-05]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(3, 10, 4)\n",
|
|
"YYYY ====== Actual Input ====== YYYY\n",
|
|
"[[[0.4817 0.347767 0.7928 0.6658417]]\n",
|
|
"\n",
|
|
" [[0.4907 0.355143 0.7968 0.660961 ]]\n",
|
|
"\n",
|
|
" [[0.4917 0.350808 0.7332 0.6462491]]]\n",
|
|
"(3, 1, 4)\n",
|
|
"YYYY ====== Trend Input ======= YYYY\n",
|
|
"[[[0.48091333 0.34767887 0.79559333 0.66420715]]\n",
|
|
"\n",
|
|
" [[0.48996667 0.3549168 0.79653333 0.66078483]]\n",
|
|
"\n",
|
|
" [[0.49199333 0.35086613 0.73327333 0.64639177]]]\n",
|
|
"(3, 1, 4)\n",
|
|
"YYYY ====== De-Trend Input ======= YYYY\n",
|
|
"[[[ 7.86666667e-04 8.81333333e-05 -2.79333333e-03 1.63455333e-03]]\n",
|
|
"\n",
|
|
" [[ 7.33333333e-04 2.26200000e-04 2.66666667e-04 1.76173333e-04]]\n",
|
|
"\n",
|
|
" [[-2.93333333e-04 -5.81333333e-05 -7.33333333e-05 -1.42673333e-04]]]\n",
|
|
"(3, 1, 4)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Do not run !!! Detrending help!\n",
|
|
"# 07.09.2024\n",
|
|
"# need function to create trend and de-trend\n",
|
|
"crypto_list = ['XRP', 'ETH', 'LTC', 'BTC']\n",
|
|
"X_trend = np.zeros((batch-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print (X_trend)\n",
|
|
"X_detrend = np.zeros((batch-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print (X_detrend)\n",
|
|
"y_trend = np.zeros((batch-cnt_thrown_idx, frwd, n_out))\n",
|
|
"# print (y_trend)\n",
|
|
"for j in range(batch-cnt_thrown_idx):\n",
|
|
" df_trend = pd.DataFrame(X[j], columns = crypto_list)\n",
|
|
" # print (df_trend)\n",
|
|
" # print (j)\n",
|
|
"# XRP\n",
|
|
" coef_xrp = np.polyfit(np.arange(len(df_trend)), df_trend['XRP'], 1)\n",
|
|
" # print (\"coef_xrp: \", coef_xrp) # coef_xrp: [-0.00074848 0.48839818]\n",
|
|
" trend_line_xrp = np.polyval(coef_xrp, np.arange(len(df_trend)))\n",
|
|
" detrended_series_xrp = df_trend['XRP'] - trend_line_xrp\n",
|
|
" detrend_xrp = detrended_series_xrp.to_numpy() \n",
|
|
"\n",
|
|
" y_xrp_trend = coef_xrp[0]*(len(df_trend)) + coef_xrp[1]\n",
|
|
" \n",
|
|
"# ETH\n",
|
|
" coef_eth = np.polyfit(np.arange(len(df_trend)), df_trend['ETH'], 1)\n",
|
|
" # print (\"coef_eth: \", coef_eth)\n",
|
|
" trend_line_eth = np.polyval(coef_eth, np.arange(len(df_trend)))\n",
|
|
" detrended_series_eth = df_trend['ETH'] - trend_line_eth\n",
|
|
" detrend_eth = detrended_series_eth.to_numpy()\n",
|
|
"\n",
|
|
" y_eth_trend = coef_eth[0]*(len(df_trend)) + coef_eth[1]\n",
|
|
" \n",
|
|
"# LTC \n",
|
|
" coef_ltc = np.polyfit(np.arange(len(df_trend)), df_trend['LTC'], 1)\n",
|
|
" # print (\"coef_ltc: \", coef_ltc)\n",
|
|
" trend_line_ltc = np.polyval(coef_ltc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_ltc = df_trend['LTC'] - trend_line_ltc\n",
|
|
" detrend_ltc = detrended_series_ltc.to_numpy()\n",
|
|
" \n",
|
|
" y_ltc_trend = coef_ltc[0]*(len(df_trend)) + coef_ltc[1]\n",
|
|
"\n",
|
|
"# BTC \n",
|
|
" coef_btc = np.polyfit(np.arange(len(df_trend)), df_trend['BTC'], 1)\n",
|
|
" # print (\"coef_btc: \", coef_btc)\n",
|
|
" trend_line_btc = np.polyval(coef_btc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_btc = df_trend['BTC'] - trend_line_btc\n",
|
|
" detrend_btc = detrended_series_btc.to_numpy()\n",
|
|
"\n",
|
|
" y_btc_trend = coef_btc[0]*(len(df_trend)) + coef_btc[1]\n",
|
|
"\n",
|
|
"\n",
|
|
" # print (X[j])\n",
|
|
" # print (type(X[j]))\n",
|
|
" # print (X[j].shape)\n",
|
|
" print ('==================================================')\n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" trend_dict = {'XRP' : trend_line_xrp, \n",
|
|
" 'ETH' : trend_line_eth, \n",
|
|
" 'LTC' : trend_line_ltc, \n",
|
|
" 'BTC' : trend_line_btc\n",
|
|
" }\n",
|
|
" df = pd.DataFrame(trend_dict)\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
" \n",
|
|
" X0_trend = df.to_numpy()\n",
|
|
" # print (X0_trend)\n",
|
|
" # print (type(X0_trend))\n",
|
|
" # print (X0_trend.shape)\n",
|
|
"\n",
|
|
" X_trend[j] += X0_trend \n",
|
|
"\n",
|
|
" detrend_dict = {'XRP' : detrend_xrp, \n",
|
|
" 'ETH' : detrend_eth, \n",
|
|
" 'LTC' : detrend_ltc, \n",
|
|
" 'BTC' : detrend_btc\n",
|
|
" }\n",
|
|
" # print ('detrend_dict')\n",
|
|
" # print (detrend_dict)\n",
|
|
" \n",
|
|
" df = pd.DataFrame(detrend_dict)\n",
|
|
"\n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in detrend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
" X0_detrend = df.to_numpy()\n",
|
|
" # print (X0_detrend)\n",
|
|
" # print (type(X0_detrend))\n",
|
|
" # print (X0_detrend.shape)\n",
|
|
"\n",
|
|
" X_detrend[j] += X0_detrend \n",
|
|
" \n",
|
|
" print ('================ originalseries ==================') \n",
|
|
" print (X)\n",
|
|
" print (type(X))\n",
|
|
" print (X_trend.shape)\n",
|
|
" \n",
|
|
" print ('================== trend lines ===================') \n",
|
|
" print (X_trend)\n",
|
|
" print (type(X_trend))\n",
|
|
" print (X_trend.shape)\n",
|
|
" \n",
|
|
" print ('================== fluctuations ===================') \n",
|
|
" print (X_detrend)\n",
|
|
" print (type(X_detrend))\n",
|
|
" print (X_detrend.shape)\n",
|
|
"\n",
|
|
" # print ('y_xrp_trend: ', y_xrp_trend)\n",
|
|
" # print ('y_eth_trend: ', y_eth_trend)\n",
|
|
" # print ('y_ltc_trend: ', y_ltc_trend)\n",
|
|
" # print ('y_btc_trend: ', y_btc_trend)\n",
|
|
"\n",
|
|
" # print (type(y_xpr_trend))\n",
|
|
" # print (y_xpr_trend.shape)\n",
|
|
"\n",
|
|
"\n",
|
|
" # Create a dictionary with the data\n",
|
|
" y_trend_dict = {'XRP' : np.array([y_xrp_trend]), \n",
|
|
" 'ETH' : np.array([y_eth_trend]), \n",
|
|
" 'LTC' : np.array([y_ltc_trend]), \n",
|
|
" 'BTC' : np.array([y_btc_trend])\n",
|
|
" }\n",
|
|
" # print (y_trend_dict)\n",
|
|
"\n",
|
|
" df1 = pd.DataFrame(y_trend_dict)\n",
|
|
"\n",
|
|
" # print ('df1')\n",
|
|
" # print (df1)\n",
|
|
" # print (type(df1))\n",
|
|
" # print (df1.shape)\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for key, value in y_trend_dict.items():\n",
|
|
" # print(f\"{key}: {value}\")\n",
|
|
" df1[key] = value\n",
|
|
"\n",
|
|
" y_tr = df1.to_numpy()\n",
|
|
" # print (y_tr)\n",
|
|
" # print (type(y_tr))\n",
|
|
" # print (y_tr.shape)\n",
|
|
"\n",
|
|
" y_trend[j] += y_tr\n",
|
|
" # print (y_trend[j])\n",
|
|
"\n",
|
|
"print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"print (y)\n",
|
|
"print (y.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== Trend Input ======= YYYY')\n",
|
|
"print (y_trend)\n",
|
|
"print (y_trend.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== De-Trend Input ======= YYYY')\n",
|
|
"y_detrend = y - y_trend\n",
|
|
"print (y_detrend)\n",
|
|
"print (y_detrend.shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d3d206f5-f2e9-49eb-9787-1b128b31bdb5",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "c40d6239-1f0e-43c9-a378-c71b31be86c4",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"'''\n",
|
|
" 06.26.2014 Trends and Seasonalities\n",
|
|
"========================================================\n",
|
|
"'''"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 97,
|
|
"id": "bf9b898e-49d2-4ae4-af2f-5d30f9fd16ed",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[[0.518 0.381374 0.8328 0.6768447]\n",
|
|
" [0.5178 0.381286 0.833 0.676803 ]\n",
|
|
" [0.5179 0.381262 0.8334 0.6767874]\n",
|
|
" [0.5181 0.381318 0.8336 0.6769821]\n",
|
|
" [0.5181 0.381319 0.8336 0.6769545]\n",
|
|
" [0.5194 0.381879 0.8339 0.6775872]\n",
|
|
" [0.5181 0.381309 0.8335 0.6769801]\n",
|
|
" [0.5182 0.381268 0.8339 0.6770658]\n",
|
|
" [0.5182 0.381239 0.834 0.6770058]\n",
|
|
" [0.518 0.381319 0.8345 0.6770314]\n",
|
|
" [0.5183 0.381321 0.8346 0.6770791]\n",
|
|
" [0.518 0.38122 0.8344 0.6770408]\n",
|
|
" [0.518 0.38129 0.8343 0.6771225]\n",
|
|
" [0.5181 0.381263 0.8343 0.6771321]\n",
|
|
" [0.5182 0.381285 0.8343 0.6772544]\n",
|
|
" [0.5184 0.381248 0.8343 0.6771928]\n",
|
|
" [0.5192 0.381742 0.8338 0.6775069]\n",
|
|
" [0.5194 0.381742 0.8337 0.6775913]\n",
|
|
" [0.5191 0.381445 0.8336 0.6774632]\n",
|
|
" [0.5194 0.381585 0.8336 0.6774229]\n",
|
|
" [0.5186 0.377405 0.8317 0.6764568]\n",
|
|
" [0.5188 0.377499 0.8317 0.6764784]\n",
|
|
" [0.5189 0.37761 0.8317 0.6764024]\n",
|
|
" [0.5188 0.377599 0.8317 0.6763071]\n",
|
|
" [0.5187 0.377507 0.8313 0.6761032]\n",
|
|
" [0.5186 0.377534 0.8315 0.6761993]\n",
|
|
" [0.5186 0.377584 0.8317 0.676339 ]\n",
|
|
" [0.5187 0.377426 0.8315 0.676074 ]\n",
|
|
" [0.5187 0.377314 0.8312 0.6758581]\n",
|
|
" [0.5186 0.377205 0.8312 0.6758539]\n",
|
|
" [0.5186 0.37723 0.8311 0.675803 ]\n",
|
|
" [0.5189 0.377196 0.8313 0.675722 ]\n",
|
|
" [0.519 0.377629 0.8319 0.6768073]\n",
|
|
" [0.5189 0.37738 0.8314 0.6759597]\n",
|
|
" [0.5189 0.377364 0.8307 0.6757641]\n",
|
|
" [0.5187 0.377345 0.8305 0.6757472]\n",
|
|
" [0.5187 0.377349 0.8303 0.6757488]\n",
|
|
" [0.5187 0.377305 0.8306 0.6756329]\n",
|
|
" [0.519 0.377454 0.831 0.6758475]\n",
|
|
" [0.5189 0.377461 0.8308 0.6759762]\n",
|
|
" [0.5188 0.377497 0.8312 0.6759688]\n",
|
|
" [0.5188 0.377392 0.8314 0.6760646]\n",
|
|
" [0.5189 0.377335 0.8312 0.6760602]\n",
|
|
" [0.5189 0.377578 0.8319 0.6766635]\n",
|
|
" [0.5188 0.377201 0.8307 0.6760006]\n",
|
|
" [0.5189 0.377237 0.8307 0.6760357]\n",
|
|
" [0.5192 0.37739 0.831 0.6762097]\n",
|
|
" [0.5193 0.377486 0.8311 0.6763929]\n",
|
|
" [0.5194 0.377511 0.8311 0.6763846]\n",
|
|
" [0.5197 0.377707 0.8313 0.6766523]\n",
|
|
" [0.5196 0.377723 0.8311 0.6767451]\n",
|
|
" [0.5197 0.377552 0.8313 0.676728 ]\n",
|
|
" [0.5194 0.377562 0.8311 0.6767188]\n",
|
|
" [0.5195 0.37746 0.831 0.6766543]\n",
|
|
" [0.519 0.37755 0.8317 0.6766271]\n",
|
|
" [0.5194 0.377458 0.831 0.6765402]\n",
|
|
" [0.5194 0.377565 0.8314 0.6768003]\n",
|
|
" [0.5195 0.37764 0.8311 0.6768227]\n",
|
|
" [0.5195 0.377784 0.8313 0.6769203]\n",
|
|
" [0.5195 0.377729 0.8312 0.6769396]\n",
|
|
" [0.5194 0.377898 0.8313 0.6770478]\n",
|
|
" [0.5194 0.377816 0.8313 0.6770896]\n",
|
|
" [0.5193 0.377842 0.8312 0.676977 ]\n",
|
|
" [0.5193 0.377802 0.8311 0.6768391]\n",
|
|
" [0.519 0.377573 0.8311 0.6766468]\n",
|
|
" [0.5191 0.377608 0.832 0.6767025]\n",
|
|
" [0.5191 0.377692 0.8308 0.6766894]\n",
|
|
" [0.519 0.377557 0.8306 0.6766836]\n",
|
|
" [0.519 0.377608 0.8309 0.6766396]\n",
|
|
" [0.5189 0.377739 0.8307 0.6767378]\n",
|
|
" [0.5186 0.377644 0.8318 0.6767324]\n",
|
|
" [0.5187 0.377386 0.8309 0.6761987]\n",
|
|
" [0.5188 0.37754 0.8313 0.6765721]\n",
|
|
" [0.519 0.37753 0.8315 0.6766276]\n",
|
|
" [0.519 0.377565 0.8316 0.6766473]\n",
|
|
" [0.5188 0.377567 0.8316 0.6766709]\n",
|
|
" [0.5189 0.377758 0.8318 0.6766724]\n",
|
|
" [0.5191 0.377789 0.832 0.6767745]\n",
|
|
" [0.5191 0.377789 0.8322 0.67678 ]\n",
|
|
" [0.5191 0.377698 0.832 0.6765116]\n",
|
|
" [0.5189 0.377644 0.831 0.6767624]\n",
|
|
" [0.5189 0.377663 0.8312 0.677014 ]\n",
|
|
" [0.5186 0.377087 0.8318 0.6768628]\n",
|
|
" [0.5182 0.377052 0.8315 0.6767613]\n",
|
|
" [0.5183 0.377111 0.8316 0.6766979]\n",
|
|
" [0.5182 0.377127 0.8317 0.6765669]\n",
|
|
" [0.5181 0.377113 0.8316 0.6765312]\n",
|
|
" [0.5183 0.377261 0.8317 0.6766002]\n",
|
|
" [0.5182 0.377091 0.8313 0.6764466]\n",
|
|
" [0.518 0.377061 0.831 0.6762622]\n",
|
|
" [0.5179 0.376996 0.8309 0.6761617]\n",
|
|
" [0.518 0.377001 0.831 0.6763562]\n",
|
|
" [0.5187 0.377472 0.8312 0.6767501]\n",
|
|
" [0.5181 0.376929 0.8308 0.6763204]\n",
|
|
" [0.5183 0.376849 0.8309 0.6762271]\n",
|
|
" [0.5183 0.377005 0.8312 0.6763127]\n",
|
|
" [0.5184 0.377206 0.8316 0.6764042]\n",
|
|
" [0.5185 0.377164 0.8317 0.6764135]\n",
|
|
" [0.5182 0.377122 0.8316 0.6762452]\n",
|
|
" [0.5184 0.377085 0.8317 0.6762445]\n",
|
|
" [0.5183 0.377185 0.8317 0.6762767]\n",
|
|
" [0.5184 0.377124 0.8319 0.6762493]\n",
|
|
" [0.5185 0.37727 0.8321 0.6763682]\n",
|
|
" [0.5185 0.377361 0.8313 0.67707 ]\n",
|
|
" [0.5182 0.377154 0.8317 0.6762821]\n",
|
|
" [0.5185 0.377355 0.8321 0.6763242]\n",
|
|
" [0.5187 0.377483 0.8321 0.6764146]\n",
|
|
" [0.5186 0.377519 0.8323 0.6765432]\n",
|
|
" [0.5188 0.377598 0.8323 0.6765422]\n",
|
|
" [0.5187 0.377614 0.8323 0.6765904]\n",
|
|
" [0.519 0.37767 0.8324 0.6766887]\n",
|
|
" [0.5189 0.377599 0.8323 0.6766965]\n",
|
|
" [0.5193 0.377667 0.8325 0.6767452]\n",
|
|
" [0.5193 0.377789 0.8323 0.6767941]\n",
|
|
" [0.5185 0.377329 0.8318 0.6770709]\n",
|
|
" [0.5187 0.377582 0.8322 0.676622 ]\n",
|
|
" [0.5187 0.377497 0.832 0.6766059]\n",
|
|
" [0.5186 0.377633 0.8319 0.6766247]\n",
|
|
" [0.5187 0.377736 0.8322 0.6766513]\n",
|
|
" [0.5189 0.377573 0.8322 0.6764376]\n",
|
|
" [0.5191 0.377635 0.8323 0.6764412]\n",
|
|
" [0.5191 0.377759 0.8326 0.6765362]\n",
|
|
" [0.5192 0.37784 0.8328 0.6764406]\n",
|
|
" [0.5196 0.377867 0.8328 0.6765768]\n",
|
|
" [0.5194 0.378 0.8328 0.676754 ]\n",
|
|
" [0.5185 0.377018 0.8314 0.6768045]\n",
|
|
" [0.5195 0.378014 0.8327 0.6767216]\n",
|
|
" [0.5197 0.378182 0.8327 0.6767277]\n",
|
|
" [0.5195 0.378117 0.8328 0.6766378]\n",
|
|
" [0.5194 0.377942 0.8329 0.6764376]\n",
|
|
" [0.5195 0.378184 0.833 0.6765384]\n",
|
|
" [0.5194 0.378145 0.8328 0.6764327]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(132, 4)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print (X[1])\n",
|
|
"print (type(X[1]))\n",
|
|
"print (X[1].shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 465,
|
|
"id": "6bcc7fa4-5164-4f58-b550-f9d9b139a539",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"coef: [-0.006 0.5293]\n",
|
|
"[0.5293 0.5233 0.5173 0.5113 0.5053 0.4993 0.4933 0.4873]\n",
|
|
"0 -0.0105\n",
|
|
"1 -0.0045\n",
|
|
"2 0.0015\n",
|
|
"3 0.0075\n",
|
|
"4 0.0135\n",
|
|
"5 0.0195\n",
|
|
"6 -0.0165\n",
|
|
"7 -0.0105\n",
|
|
"Name: XRP, dtype: float64\n",
|
|
"[-0.0105 -0.0045 0.0015 0.0075 0.0135 0.0195 -0.0165 -0.0105]\n",
|
|
"coef: [-9.38309713e-18 3.62264000e-01]\n",
|
|
"coef: [0.00694286 0.76905 ]\n",
|
|
"coef: [-0.00196119 0.66182477]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"crypto_list = ['XRP', 'ETH', 'LTC', 'BTC']\n",
|
|
"\n",
|
|
"df_trend = pd.DataFrame(X[0], columns = crypto_list)\n",
|
|
"\n",
|
|
"# XRP\n",
|
|
"trend_xrp = np.polyfit(np.arange(len(df_trend)), df_trend['XRP'], 1)\n",
|
|
"print (\"coef: \", trend_xrp)\n",
|
|
"trend_line_xrp = np.polyval(trend_xrp, np.arange(len(df_trend)))\n",
|
|
"print (trend_line_xrp)\n",
|
|
"detrended_series_xrp = df_trend['XRP'] - trend_line_xrp\n",
|
|
"print (detrended_series_xrp)\n",
|
|
"detrend_xrp = detrended_series_xrp.to_numpy()\n",
|
|
"print (detrend_xrp)\n",
|
|
"\n",
|
|
"# ETH\n",
|
|
"trend_eth = np.polyfit(np.arange(len(df_trend)), df_trend['ETH'], 1)\n",
|
|
"print (\"coef: \", trend_eth)\n",
|
|
"trend_line_eth = np.polyval(trend_eth, np.arange(len(df_trend)))\n",
|
|
"detrended_series_eth = df_trend['ETH'] - trend_line_eth\n",
|
|
"detrend_eth = detrended_series_eth.to_numpy()\n",
|
|
"\n",
|
|
"\n",
|
|
"trend_ltc = np.polyfit(np.arange(len(df_trend)), df_trend['LTC'], 1)\n",
|
|
"print (\"coef: \", trend_ltc)\n",
|
|
"trend_line_ltc = np.polyval(trend_ltc, np.arange(len(df_trend)))\n",
|
|
"detrended_series_ltc = df_trend['LTC'] - trend_line_ltc\n",
|
|
"detrend_ltc = detrended_series_ltc.to_numpy()\n",
|
|
"\n",
|
|
"\n",
|
|
"trend_btc = np.polyfit(np.arange(len(df_trend)), df_trend['BTC'], 1)\n",
|
|
"print (\"coef: \", trend_btc)\n",
|
|
"trend_line_btc = np.polyval(trend_btc, np.arange(len(df_trend)))\n",
|
|
"detrend_btc = detrended_series_btc.to_numpy()\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 275,
|
|
"id": "ed42d6c4-a96e-4634-8755-111b26aa81b7",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[[0.49120833 0.35132742 0.73500833 0.64679623]\n",
|
|
" [0.49135238 0.35125794 0.73475238 0.64673418]\n",
|
|
" [0.49149643 0.35118846 0.73449643 0.64667213]\n",
|
|
" [0.49164048 0.35111899 0.73424048 0.64661008]\n",
|
|
" [0.49178452 0.35104951 0.73398452 0.64654802]\n",
|
|
" [0.49192857 0.35098004 0.73372857 0.64648597]\n",
|
|
" [0.49207262 0.35091056 0.73347262 0.64642392]\n",
|
|
" [0.49221667 0.35084108 0.73321667 0.64636187]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(8, 4)\n",
|
|
"[[ 2.91666667e-04 -1.70416667e-04 -1.08333333e-04 -1.05533333e-04]\n",
|
|
" [ 1.47619048e-04 6.40595238e-05 -8.52380952e-04 2.65519048e-04]\n",
|
|
" [ 3.57142857e-06 2.10535714e-04 -3.96428571e-04 3.77271429e-04]\n",
|
|
" [-1.04047619e-03 2.80119048e-05 2.75952381e-03 -7.03976190e-04]\n",
|
|
" [ 2.15476190e-04 -9.65119048e-05 -6.84523810e-04 3.54761905e-05]\n",
|
|
" [ 2.71428571e-04 -2.20357143e-05 -2.28571429e-04 -4.28714286e-05]\n",
|
|
" [ 2.73809524e-05 -2.25595238e-05 -6.72619048e-04 5.44809524e-05]\n",
|
|
" [ 8.33333333e-05 8.91666667e-06 1.83333333e-04 1.19633333e-04]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(8, 4)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Create a dictionary with the data\n",
|
|
"trend_dict = {'XRP' : trend_line_xrp, \n",
|
|
" 'ETH' : trend_line_eth, \n",
|
|
" 'LTC' : trend_line_ltc, \n",
|
|
" 'BTC' : trend_line_btc\n",
|
|
" }\n",
|
|
"\n",
|
|
"df = pd.DataFrame(trend_dict)\n",
|
|
"\n",
|
|
"# Fill the DataFrame column by column\n",
|
|
"for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
"X0_trend = df.to_numpy()\n",
|
|
"print (X0_trend)\n",
|
|
"print (type(X0_trend))\n",
|
|
"print (X0_trend.shape)\n",
|
|
"\n",
|
|
"trend_dict = {'XRP' : detrend_xrp, \n",
|
|
" 'ETH' : detrend_eth, \n",
|
|
" 'LTC' : detrend_ltc, \n",
|
|
" 'BTC' : detrend_btc\n",
|
|
" }\n",
|
|
"# Fill the DataFrame column by column\n",
|
|
"for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
"X0_detrend = df.to_numpy()\n",
|
|
"print (X0_detrend)\n",
|
|
"print (type(X0_detrend))\n",
|
|
"print (X0_detrend.shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "5a8e4ef4-3aba-4f09-a299-b23b8b5a0622",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "9649dfb4-b4df-4f90-a1d6-ad9fd0bf0906",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 331,
|
|
"id": "96360fe8-062c-46fc-87f2-06dd49ce6fcc",
|
|
"metadata": {
|
|
"jupyter": {
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def detrend_series(series):\n",
|
|
" trend = np.polyfit(np.arange(len(series)), series.values, 1)\n",
|
|
" trend_line = np.polyval(trend, np.arange(len(series)))\n",
|
|
" detrended_series = series - trend_line\n",
|
|
" return detrended_series\n",
|
|
"\n",
|
|
"# df_detrended = df.apply(detrend_series)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 332,
|
|
"id": "9187fc21-3596-4c31-975b-a0fbc461c2c6",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"3200\n",
|
|
"[5.06361224e-06 6.54825371e-01]\n",
|
|
"[0.65482537 0.65483043 0.6548355 ... 0.67101374 0.6710188 0.67102387]\n",
|
|
"0 0.022096\n",
|
|
"1 0.022107\n",
|
|
"2 0.022118\n",
|
|
"3 0.022173\n",
|
|
"4 0.022189\n",
|
|
" ... \n",
|
|
"3195 0.024767\n",
|
|
"3196 0.024720\n",
|
|
"3197 0.024636\n",
|
|
"3198 0.024671\n",
|
|
"3199 0.024768\n",
|
|
"Name: BTC, Length: 3200, dtype: float64\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"df_trend = pd.DataFrame(X0, columns = crypto_list)\n",
|
|
"\n",
|
|
"print (len(df_trend))\n",
|
|
"\n",
|
|
"trend = np.polyfit(np.arange(len(df_trend)), df_trend[crypto_list[3]], 1)\n",
|
|
"print (trend)\n",
|
|
"\n",
|
|
"trend_line = np.polyval(trend, np.arange(len(df_trend)))\n",
|
|
"print (trend_line)\n",
|
|
"\n",
|
|
"detrended_series = df_trend[crypto_list[3]] - trend_line\n",
|
|
"print (detrended_series)\n",
|
|
"\n",
|
|
"fig, ax = plt.subplots()\n",
|
|
"# # ax.plot(df_trend.index, df_trend[crypto_list[3]], label = crypto_list[3], color = 'blue')\n",
|
|
"ax.plot(df_trend.index, detrended_series, label = crypto_list[3], color = 'green')\n",
|
|
"# # ax.plot(df_trend.index, trend_line, label = crypto_list[3], color = 'red')\n",
|
|
"\n",
|
|
"ax.set_xlabel('Date')\n",
|
|
"ax.set_ylabel('Values')\n",
|
|
"ax.set_title('Time Series Plot')\n",
|
|
"ax.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "ec5f297d-be92-421a-b25e-d61043ed9faf",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 334,
|
|
"id": "cf50668b-5970-4caa-bed5-72cc62e4ea8e",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"100\n",
|
|
"[0.5185 0.5184 0.5182 0.5184 0.5184 0.5184 0.5184 0.5183 0.5186 0.5194\n",
|
|
" 0.5187 0.5182 0.5179 0.5177 0.518 0.518 0.5178 0.5179 0.5181 0.5181\n",
|
|
" 0.5194 0.5181 0.5182 0.5182 0.518 0.5183 0.518 0.518 0.5181 0.5182\n",
|
|
" 0.5184 0.5192]\n",
|
|
"0.518296875\n",
|
|
"0.00040193623172710965\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# 06.05.2024 just helper\n",
|
|
"values = X_XRP_close.reshape(batch-cnt_thrown_idx, sl)\n",
|
|
"\n",
|
|
"print (batch-cnt_thrown_idx)\n",
|
|
"print (values[0])\n",
|
|
"print (np.mean(values[0]))\n",
|
|
"print (np.std(values[0]))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 83,
|
|
"id": "88e292cc-1244-462a-b311-3e964773c742",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"0\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/usr/local/lib/python3.11/dist-packages/statsmodels/tsa/stattools.py:693: RuntimeWarning: invalid value encountered in divide\n",
|
|
" acf = avf[: nlags + 1] / avf[0]\n"
|
|
]
|
|
},
|
|
{
|
|
"ename": "IndexError",
|
|
"evalue": "index 1 is out of bounds for axis 0 with size 1",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)",
|
|
"Cell \u001b[0;32mIn[83], line 9\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# Plot the autocorrelation function (ACF) \u001b[39;00m\n\u001b[1;32m 8\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize \u001b[38;5;241m=\u001b[39m (\u001b[38;5;241m12\u001b[39m, \u001b[38;5;241m6\u001b[39m))\n\u001b[0;32m----> 9\u001b[0m \u001b[43mplot_acf\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlags\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43msl\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 10\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAutocorrelation Function (ACF)\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 11\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n",
|
|
"File \u001b[0;32m/usr/local/lib/python3.11/dist-packages/pandas/util/_decorators.py:213\u001b[0m, in \u001b[0;36mdeprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 211\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[1;32m 212\u001b[0m kwargs[new_arg_name] \u001b[38;5;241m=\u001b[39m new_arg_value\n\u001b[0;32m--> 213\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[0;32m/usr/local/lib/python3.11/dist-packages/statsmodels/graphics/tsaplots.py:217\u001b[0m, in \u001b[0;36mplot_acf\u001b[0;34m(x, ax, lags, alpha, use_vlines, adjusted, fft, missing, title, zero, auto_ylims, bartlett_confint, vlines_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m 215\u001b[0m confint \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 216\u001b[0m \u001b[38;5;66;03m# acf has different return type based on alpha\u001b[39;00m\n\u001b[0;32m--> 217\u001b[0m acf_x \u001b[38;5;241m=\u001b[39m \u001b[43macf\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 218\u001b[0m \u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 219\u001b[0m \u001b[43m \u001b[49m\u001b[43mnlags\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnlags\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 220\u001b[0m \u001b[43m \u001b[49m\u001b[43malpha\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43malpha\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 221\u001b[0m \u001b[43m \u001b[49m\u001b[43mfft\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfft\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 222\u001b[0m \u001b[43m \u001b[49m\u001b[43mbartlett_confint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbartlett_confint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 223\u001b[0m \u001b[43m \u001b[49m\u001b[43madjusted\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43madjusted\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 224\u001b[0m \u001b[43m \u001b[49m\u001b[43mmissing\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmissing\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 225\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 226\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m alpha \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 227\u001b[0m acf_x, confint \u001b[38;5;241m=\u001b[39m acf_x[:\u001b[38;5;241m2\u001b[39m]\n",
|
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"File \u001b[0;32m/usr/local/lib/python3.11/dist-packages/statsmodels/tsa/stattools.py:700\u001b[0m, in \u001b[0;36macf\u001b[0;34m(x, adjusted, nlags, qstat, fft, alpha, bartlett_confint, missing)\u001b[0m\n\u001b[1;32m 698\u001b[0m varacf \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mones_like(acf) \u001b[38;5;241m/\u001b[39m nobs\n\u001b[1;32m 699\u001b[0m varacf[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m--> 700\u001b[0m \u001b[43mvaracf\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1.0\u001b[39m \u001b[38;5;241m/\u001b[39m nobs\n\u001b[1;32m 701\u001b[0m varacf[\u001b[38;5;241m2\u001b[39m:] \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m np\u001b[38;5;241m.\u001b[39mcumsum(acf[\u001b[38;5;241m1\u001b[39m:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m)\n\u001b[1;32m 702\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
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"\u001b[0;31mIndexError\u001b[0m: index 1 is out of bounds for axis 0 with size 1"
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]
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1200x600 with 0 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
|
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{
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"data": {
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"image/png": 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",
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"# Figure AutoCorrelations and Partial AutoCorrelations\n",
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"import seaborn as sns\n",
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"from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
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"\n",
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"for i in range(batch-cnt_thrown_idx-1):\n",
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" print (i)\n",
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"# Plot the autocorrelation function (ACF) \n",
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" plt.figure(figsize = (12, 6))\n",
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" plot_acf(values[i], lags = sl-1)\n",
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" plt.title('Autocorrelation Function (ACF)')\n",
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" plt.show()\n",
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" \n",
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"# Plot the partial autocorrelation function (PACF)\n",
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" # plt.figure(figsize = (12, 6))\n",
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" # plot_pacf(values[round(i/2)], lags = 60)\n",
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" # plt.title('Partial Autocorrelation Function (PACF)')\n",
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" # plt.show()"
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]
|
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},
|
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{
|
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"cell_type": "code",
|
|
"execution_count": 458,
|
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"id": "4021e394-635b-4493-8a89-a658e1229325",
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"metadata": {
|
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true,
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"source_hidden": true
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}
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_49\"</span>\n",
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"</pre>\n"
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],
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"text/plain": [
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"\u001b[1mModel: \"sequential_49\"\u001b[0m\n"
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]
|
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},
|
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"metadata": {},
|
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
|
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"┃<span style=\"font-weight: bold\"> Layer (type) </span>┃<span style=\"font-weight: bold\"> Output Shape </span>┃<span style=\"font-weight: bold\"> Param # </span>┃\n",
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"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
|
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"│ lstm_86 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">17,664</span> │\n",
|
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
|
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"│ lstm_87 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">98,816</span> │\n",
|
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
|
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"│ dropout_38 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
|
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ dense_49 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">516</span> │\n",
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"└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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"</pre>\n"
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],
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"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
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"┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
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"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
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"│ lstm_86 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m17,664\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ lstm_87 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m98,816\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ dropout_38 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ dense_49 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m516\u001b[0m │\n",
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"└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
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]
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">116,996</span> (457.02 KB)\n",
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"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m116,996\u001b[0m (457.02 KB)\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">116,996</span> (457.02 KB)\n",
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"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m116,996\u001b[0m (457.02 KB)\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
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"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
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"text": [
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"Epoch 1/25\n",
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"1/1 - 6s - 6s/step - loss: 6.8324e-07 - val_loss: 5.8658e-06\n",
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"Epoch 2/25\n",
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"1/1 - 0s - 52ms/step - loss: 5.0636e-06 - val_loss: 7.5421e-07\n",
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"Epoch 3/25\n",
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"1/1 - 0s - 50ms/step - loss: 1.0629e-06 - val_loss: 1.6578e-07\n",
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"Epoch 4/25\n",
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"1/1 - 0s - 50ms/step - loss: 1.1771e-06 - val_loss: 8.1773e-07\n",
|
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"Epoch 5/25\n",
|
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"1/1 - 0s - 50ms/step - loss: 1.6545e-06 - val_loss: 6.7781e-07\n",
|
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"Epoch 6/25\n",
|
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"1/1 - 0s - 50ms/step - loss: 1.7371e-06 - val_loss: 3.7660e-07\n",
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"Epoch 7/25\n",
|
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"1/1 - 0s - 50ms/step - loss: 1.0486e-06 - val_loss: 5.3273e-07\n",
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"Epoch 8/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 1.2801e-06 - val_loss: 4.4379e-07\n",
|
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"Epoch 9/25\n",
|
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"1/1 - 0s - 51ms/step - loss: 1.3198e-06 - val_loss: 3.6425e-07\n",
|
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"Epoch 10/25\n",
|
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"1/1 - 0s - 51ms/step - loss: 1.2686e-06 - val_loss: 5.3552e-07\n",
|
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"Epoch 11/25\n",
|
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"1/1 - 0s - 50ms/step - loss: 1.4923e-06 - val_loss: 6.6236e-07\n",
|
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"Epoch 12/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 1.1426e-06 - val_loss: 8.7720e-07\n",
|
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"Epoch 13/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 2.0659e-06 - val_loss: 5.5524e-07\n",
|
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"Epoch 14/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 6.0784e-07 - val_loss: 3.6008e-07\n",
|
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"Epoch 15/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 1.2791e-06 - val_loss: 1.3036e-07\n",
|
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"Epoch 16/25\n",
|
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"1/1 - 0s - 50ms/step - loss: 6.8071e-07 - val_loss: 1.7241e-07\n",
|
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"Epoch 17/25\n",
|
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"1/1 - 0s - 50ms/step - loss: 5.2714e-07 - val_loss: 5.8024e-07\n",
|
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"Epoch 18/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 5.8868e-07 - val_loss: 9.5720e-07\n",
|
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"Epoch 19/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 2.3684e-06 - val_loss: 6.2341e-07\n",
|
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"Epoch 20/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 9.6201e-07 - val_loss: 2.6717e-07\n",
|
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"Epoch 21/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 6.0988e-07 - val_loss: 1.4758e-07\n",
|
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"Epoch 22/25\n",
|
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"1/1 - 0s - 51ms/step - loss: 5.5122e-07 - val_loss: 2.3874e-07\n",
|
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"Epoch 23/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 6.8065e-07 - val_loss: 3.9864e-07\n",
|
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"Epoch 24/25\n",
|
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"1/1 - 0s - 49ms/step - loss: 1.0433e-06 - val_loss: 4.0480e-07\n",
|
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"Epoch 25/25\n",
|
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"1/1 - 0s - 50ms/step - loss: 6.0965e-07 - val_loss: 3.4544e-07\n"
|
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]
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}
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],
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"source": [
|
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"n_steps = sl\n",
|
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"\n",
|
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"# model_4f = Sequential()\n",
|
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"# model_4f.add(tf.keras.layers.LSTM(32, activation = 'relu', return_sequences = True, input_shape = (n_steps, n_features)))\n",
|
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"# model_4f.add(tf.keras.layers.LSTM(64, activation = 'relu'))\n",
|
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"# model_4f.add(tf.keras.layers.Dense(n_features))\n",
|
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"\n",
|
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"# model_4f.compile(optimizer = 'adam', loss = 'mse')\n",
|
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"\n",
|
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"# model_4f.summary()\n",
|
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"\n",
|
|
"# fit model\n",
|
|
"# The number of epochs is the number of complete passes through the training dataset\n",
|
|
"# history = model_4f.fit(X_detrend, y_detrend, epochs = 100, validation_split = 0.2, verbose = 1)\n",
|
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"\n",
|
|
"model_4f = Sequential()\n",
|
|
"model_4f.add(tf.keras.layers.Input(shape = (n_steps, n_features)))\n",
|
|
"model_4f.add(tf.keras.layers.LSTM(units = 64, activation = 'relu', return_sequences = True)) \n",
|
|
"model_4f.add(tf.keras.layers.LSTM(units = 128, activation = 'relu', return_sequences = False))\n",
|
|
"model_4f.add(tf.keras.layers.Dropout(0.2)) \n",
|
|
"model_4f.add(tf.keras.layers.Dense(units = n_out))\n",
|
|
"# sgd = SGD(clipvalue=1.0) # Example of gradient clipping\n",
|
|
"# model_4f.compile(optimizer=sgd, loss='mse')\n",
|
|
"# sgd = SGD(clipvalue = 1.0, learning_rate = 0.10)\n",
|
|
"# model_4f.compile(optimizer = sgd, loss = 'mse')\n",
|
|
"model_4f.compile(optimizer = 'adam', loss = 'mse')\n",
|
|
"model_4f.summary()\n",
|
|
"\n",
|
|
"# fit model\n",
|
|
"# The number of epochs is the number of complete passes through the training dataset\n",
|
|
"history = model_4f.fit(X_detrend, y_detrend, epochs = 25, \n",
|
|
" validation_split = 0.2,\n",
|
|
" verbose = 2)\n",
|
|
" # , callbacks=[es])\n",
|
|
" # , callbacks = [TimeStepErrorLogger()])\n",
|
|
"\n",
|
|
"# # model_8f.add(tf.keras.layers.Dropout(0.2)) \n",
|
|
"# model_8f.add(tf.keras.layers.RepeatVector(frwd))\n",
|
|
"# model_8f.add(tf.keras.layers.LSTM(units = 32, activation = 'relu', return_sequences = True))\n",
|
|
"# # model_8f.add(tf.keras.layers.Dropout(0.2)) \n",
|
|
"# model_8f.add(tf.keras.layers.TimeDistributed(Dense(units = n_out)))\n",
|
|
"\n",
|
|
"# # Compile the model with MSE loss computed for each time step\n",
|
|
"\n",
|
|
"# # sgd = SGD(learning_rate = 0.1)\n",
|
|
"# # model_8f.compile(optimizer = sgd, loss = 'mse')\n",
|
|
"# model_8f.compile(optimizer = 'adam', loss = 'mean_squared_error')\n",
|
|
"# model_8f.summary()\n",
|
|
"\n",
|
|
"# # es = EarlyStopping(monitor = 'val_loss', mode = 'min', verbose = 1, patience = 5)\n",
|
|
"\n",
|
|
"# # fit model\n",
|
|
"# # The number of epochs is the number of complete passes through the training dataset\n",
|
|
"# history = model_8f.fit(X, y, epochs = 500, \n",
|
|
"# validation_split = 0.2,\n",
|
|
"# verbose = 2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 99,
|
|
"id": "c4a5b95b-3d09-4bc7-b043-43edd7ab2e99",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"===================================================\n",
|
|
"sequence length: 132\n",
|
|
"100\n",
|
|
"0\n",
|
|
"batch size: 100\n",
|
|
"no. of variables: 4\n",
|
|
"no. of predicted variables: 4\n",
|
|
"how many steps forward to predict: 10\n",
|
|
"===================================================\n",
|
|
"input shape (100, 132, 4)\n",
|
|
"output shape (100, 10, 4)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print (\"===================================================\")\n",
|
|
"print (\"sequence length: \", sl)\n",
|
|
"\n",
|
|
"print (batch)\n",
|
|
"print (cnt_thrown_idx)\n",
|
|
"\n",
|
|
"print (\"batch size: \", batch-cnt_thrown_idx)\n",
|
|
"print (\"no. of variables: \", n_features)\n",
|
|
"print (\"no. of predicted variables: \", n_out)\n",
|
|
"print (\"how many steps forward to predict: \", frwd)\n",
|
|
"print (\"===================================================\")\n",
|
|
"print (\"input shape\", X_detrend.shape)\n",
|
|
"print (\"output shape\", y_detrend.shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 100,
|
|
"id": "e92d8dd4-d7d5-43a9-99c3-e32a2301560b",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"2024-07-30 14:45:50.263290: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
|
"2024-07-30 14:45:50.278393: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
|
"2024-07-30 14:45:50.282532: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
|
"2024-07-30 14:45:50.287457: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
|
"2024-07-30 14:45:50.291399: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
|
"2024-07-30 14:45:50.295170: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
|
"2024-07-30 14:45:50.436309: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
|
"2024-07-30 14:45:50.438051: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
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"2024-07-30 14:45:50.439688: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
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"2024-07-30 14:45:50.441297: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1928] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 9987 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:05:00.0, compute capability: 8.6\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
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"┃<span style=\"font-weight: bold\"> Layer (type) </span>┃<span style=\"font-weight: bold\"> Output Shape </span>┃<span style=\"font-weight: bold\"> Param # </span>┃\n",
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"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
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"│ lstm (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1,058,816</span> │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ repeat_vector (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">RepeatVector</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ lstm_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">787,456</span> │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ time_distributed │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1,028</span> │\n",
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"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TimeDistributed</span>) │ │ │\n",
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"└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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"</pre>\n"
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"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
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"┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
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"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
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"│ lstm (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m1,058,816\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ repeat_vector (\u001b[38;5;33mRepeatVector\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ lstm_1 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m787,456\u001b[0m │\n",
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"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
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"│ time_distributed │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m1,028\u001b[0m │\n",
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"│ (\u001b[38;5;33mTimeDistributed\u001b[0m) │ │ │\n",
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"└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,847,300</span> (7.05 MB)\n",
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"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,847,300\u001b[0m (7.05 MB)\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,847,300</span> (7.05 MB)\n",
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"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,847,300\u001b[0m (7.05 MB)\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
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"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
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"Epoch 1/50\n"
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"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
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"I0000 00:00:1722350752.262966 130183 service.cc:145] XLA service 0x7fa3e4005a90 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
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"I0000 00:00:1722350752.263006 130183 service.cc:153] StreamExecutor device (0): NVIDIA GeForce RTX 3060, Compute Capability 8.6\n",
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"2024-07-30 14:45:52.377038: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:268] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.\n",
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"2024-07-30 14:45:52.645182: I external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:465] Loaded cuDNN version 8906\n",
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"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
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"I0000 00:00:1722350753.802532 130232 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_69', 84 bytes spill stores, 84 bytes spill loads\n",
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"\n",
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"I0000 00:00:1722350754.915767 130227 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_72', 16 bytes spill stores, 16 bytes spill loads\n",
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"\n",
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"I0000 00:00:1722350757.340680 130183 device_compiler.h:188] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n"
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"text": [
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"3/3 - 11s - 4s/step - loss: 1.7780e-05 - val_loss: 9.9707e-05\n",
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"Epoch 2/50\n",
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"3/3 - 0s - 56ms/step - loss: 1.8245e-05 - val_loss: 9.9309e-05\n",
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"Epoch 3/50\n",
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"3/3 - 0s - 48ms/step - loss: 1.8771e-05 - val_loss: 9.9395e-05\n",
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"Epoch 4/50\n",
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"3/3 - 0s - 54ms/step - loss: 2.5997e-05 - val_loss: 1.0007e-04\n",
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"Epoch 5/50\n",
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"3/3 - 0s - 53ms/step - loss: 1.6578e-05 - val_loss: 9.9877e-05\n",
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"Epoch 6/50\n",
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"3/3 - 0s - 55ms/step - loss: 1.6837e-05 - val_loss: 9.9559e-05\n",
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"Epoch 7/50\n",
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"3/3 - 0s - 52ms/step - loss: 2.6779e-05 - val_loss: 1.0016e-04\n",
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"Epoch 8/50\n",
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"3/3 - 0s - 48ms/step - loss: 1.6497e-05 - val_loss: 9.9870e-05\n",
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"Epoch 9/50\n",
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"3/3 - 0s - 52ms/step - loss: 1.7247e-05 - val_loss: 9.9434e-05\n",
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"Epoch 10/50\n",
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"3/3 - 0s - 52ms/step - loss: 1.8018e-05 - val_loss: 9.9242e-05\n",
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"Epoch 11/50\n",
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"3/3 - 0s - 56ms/step - loss: 1.6740e-05 - val_loss: 9.8912e-05\n",
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"Epoch 12/50\n",
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"3/3 - 0s - 51ms/step - loss: 1.7397e-05 - val_loss: 9.8639e-05\n",
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"Epoch 13/50\n",
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"3/3 - 0s - 50ms/step - loss: 1.7514e-05 - val_loss: 9.8309e-05\n",
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"Epoch 14/50\n",
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"3/3 - 0s - 55ms/step - loss: 1.6758e-05 - val_loss: 9.8333e-05\n",
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"Epoch 15/50\n",
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"3/3 - 0s - 55ms/step - loss: 1.8621e-05 - val_loss: 9.8136e-05\n",
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"Epoch 16/50\n",
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"3/3 - 0s - 54ms/step - loss: 1.8191e-05 - val_loss: 9.8108e-05\n",
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"Epoch 17/50\n",
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"3/3 - 0s - 53ms/step - loss: 1.7023e-05 - val_loss: 9.8024e-05\n",
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"Epoch 18/50\n",
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"3/3 - 0s - 55ms/step - loss: 1.6806e-05 - val_loss: 9.8311e-05\n",
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"Epoch 19/50\n",
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"3/3 - 0s - 57ms/step - loss: 1.6266e-05 - val_loss: 9.8196e-05\n",
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"Epoch 20/50\n",
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"3/3 - 0s - 53ms/step - loss: 1.6516e-05 - val_loss: 9.7978e-05\n",
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"Epoch 21/50\n",
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"3/3 - 0s - 55ms/step - loss: 1.7738e-05 - val_loss: 9.7931e-05\n",
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"Epoch 22/50\n",
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"3/3 - 0s - 57ms/step - loss: 2.6268e-05 - val_loss: 9.8597e-05\n",
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"Epoch 23/50\n",
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"3/3 - 0s - 55ms/step - loss: 1.6343e-05 - val_loss: 9.8440e-05\n",
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"Epoch 24/50\n",
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"3/3 - 0s - 51ms/step - loss: 2.6427e-05 - val_loss: 9.8757e-05\n",
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"Epoch 25/50\n",
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"3/3 - 0s - 52ms/step - loss: 2.5591e-05 - val_loss: 9.8928e-05\n",
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"Epoch 26/50\n",
|
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"3/3 - 0s - 57ms/step - loss: 2.6522e-05 - val_loss: 9.9208e-05\n",
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"Epoch 27/50\n",
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"3/3 - 0s - 53ms/step - loss: 1.6667e-05 - val_loss: 9.8398e-05\n",
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"Epoch 28/50\n",
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"3/3 - 0s - 53ms/step - loss: 1.6773e-05 - val_loss: 9.8413e-05\n",
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"Epoch 29/50\n",
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"3/3 - 0s - 54ms/step - loss: 1.7966e-05 - val_loss: 9.7992e-05\n",
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"Epoch 30/50\n",
|
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"3/3 - 0s - 59ms/step - loss: 2.5383e-05 - val_loss: 9.8341e-05\n",
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"Epoch 31/50\n",
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"3/3 - 0s - 54ms/step - loss: 1.6106e-05 - val_loss: 9.7998e-05\n",
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"Epoch 32/50\n",
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"3/3 - 0s - 58ms/step - loss: 1.5854e-05 - val_loss: 9.7942e-05\n",
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"Epoch 33/50\n",
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"3/3 - 0s - 48ms/step - loss: 1.5530e-05 - val_loss: 9.7835e-05\n",
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"Epoch 34/50\n",
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"3/3 - 0s - 54ms/step - loss: 1.6963e-05 - val_loss: 9.7906e-05\n",
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"Epoch 35/50\n",
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"3/3 - 0s - 54ms/step - loss: 2.4784e-05 - val_loss: 9.8254e-05\n",
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"Epoch 36/50\n",
|
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"3/3 - 0s - 56ms/step - loss: 1.6933e-05 - val_loss: 9.7936e-05\n",
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"Epoch 37/50\n",
|
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"3/3 - 0s - 47ms/step - loss: 1.6079e-05 - val_loss: 9.7750e-05\n",
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"Epoch 38/50\n",
|
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"3/3 - 0s - 54ms/step - loss: 1.8048e-05 - val_loss: 9.7595e-05\n",
|
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"Epoch 39/50\n",
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"3/3 - 0s - 53ms/step - loss: 1.6108e-05 - val_loss: 9.7366e-05\n",
|
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"Epoch 40/50\n",
|
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"3/3 - 0s - 50ms/step - loss: 1.6025e-05 - val_loss: 9.7321e-05\n",
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"Epoch 41/50\n",
|
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"3/3 - 0s - 56ms/step - loss: 1.6195e-05 - val_loss: 9.7314e-05\n",
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"Epoch 42/50\n",
|
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"3/3 - 0s - 52ms/step - loss: 1.6705e-05 - val_loss: 9.6939e-05\n",
|
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"Epoch 43/50\n",
|
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"3/3 - 0s - 56ms/step - loss: 1.6023e-05 - val_loss: 9.7072e-05\n",
|
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"Epoch 44/50\n",
|
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"3/3 - 0s - 53ms/step - loss: 1.6629e-05 - val_loss: 9.7043e-05\n",
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"Epoch 45/50\n",
|
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"3/3 - 0s - 50ms/step - loss: 1.7522e-05 - val_loss: 9.6848e-05\n",
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"Epoch 46/50\n",
|
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"3/3 - 0s - 49ms/step - loss: 1.7585e-05 - val_loss: 9.6899e-05\n",
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"Epoch 47/50\n",
|
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"3/3 - 0s - 53ms/step - loss: 1.7836e-05 - val_loss: 9.6678e-05\n",
|
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"Epoch 48/50\n",
|
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"3/3 - 0s - 57ms/step - loss: 1.6757e-05 - val_loss: 9.6866e-05\n",
|
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"Epoch 49/50\n",
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"3/3 - 0s - 53ms/step - loss: 2.5323e-05 - val_loss: 9.6990e-05\n",
|
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"Epoch 50/50\n",
|
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"3/3 - 0s - 55ms/step - loss: 1.6705e-05 - val_loss: 9.6660e-05\n"
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]
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}
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],
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"source": [
|
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"# forward more than one for de-trended model- 07.21.2024\n",
|
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"# =======================================================\n",
|
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"n_steps = sl\n",
|
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"\n",
|
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"model_8f = Sequential()\n",
|
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"model_8f.add(tf.keras.layers.Input(shape = (n_steps, n_features)))\n",
|
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"# model_8f.add(tf.keras.layers.LSTM(units = 512, activation = 'relu', return_sequences = False)) \n",
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"\n",
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"\n",
|
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"model_8f.add(tf.keras.layers.LSTM(\n",
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" units = 512,\n",
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" # kernel_initializer = glorot_uniform(), # Initialize the input weights\n",
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" # recurrent_initializer = orthogonal(), # Initialize the recurrent weights\n",
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" # bias_initializer = zeros(), # Initialize the biases\n",
|
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" activation = 'relu', \n",
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" return_sequences = False\n",
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"))\n",
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"\n",
|
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"# model_8f.add(tf.keras.layers.Dropout(0.2)) \n",
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"model_8f.add(tf.keras.layers.RepeatVector(frwd))\n",
|
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"model_8f.add(tf.keras.layers.LSTM(units = 256, activation = 'linear', return_sequences = True))\n",
|
|
"# model_8f.add(tf.keras.layers.Dropout(0.2)) \n",
|
|
"model_8f.add(tf.keras.layers.TimeDistributed(Dense(units = n_out)))\n",
|
|
"\n",
|
|
"# Compile the model with MSE loss computed for each time step\n",
|
|
"\n",
|
|
"sgd = SGD(learning_rate = 0.1)\n",
|
|
"model_8f.compile(optimizer = sgd, loss = 'mean_squared_error')\n",
|
|
"# model_8f.compile(optimizer = 'adam', loss = 'mean_squared_error')\n",
|
|
"model_8f.summary()\n",
|
|
"\n",
|
|
"# es = EarlyStopping(monitor = 'val_loss', mode = 'min', verbose = 1, patience = 5)\n",
|
|
"\n",
|
|
"history = model_8f.fit(X_detrend, y_detrend, epochs = 50, validation_split = 0.2, verbose = 2)\n",
|
|
"\n",
|
|
"# fit model\n",
|
|
"# The number of epochs is the number of complete passes through the training dataset\n",
|
|
"# history = model_8f.fit(X_detrend, y_detrend, epochs = 50, \n",
|
|
"# validation_split = 0.2,\n",
|
|
"# verbose = 2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 101,
|
|
"id": "1e40d38e-3eb1-4b9d-8d2a-8ec6a6a56f38",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"input shape (100, 132, 4)\n",
|
|
"output shape (100, 10, 4)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print (\"input shape\", X_detrend.shape)\n",
|
|
"print (\"output shape\", y_detrend.shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 102,
|
|
"id": "badacf02-562c-495a-8d62-374545da5804",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
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},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
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}
|
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],
|
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"source": [
|
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"# Create a figure and axis object\n",
|
|
"fig, ax = plt.subplots(1, 1)\n",
|
|
"\n",
|
|
"# Plot the data\n",
|
|
"ax.plot(history.history['loss'], 'blue')\n",
|
|
"ax.plot(history.history['val_loss'], 'red')\n",
|
|
"\n",
|
|
"# Customize the plot\n",
|
|
"ax.set_title('Model Test Loss (blue) vs Val Loss (red)')\n",
|
|
"ax.set_xlabel('Epoch')\n",
|
|
"ax.set_ylabel('Loss')\n",
|
|
"\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 162,
|
|
"id": "d08d10b3-a984-4dec-b1af-e29a9e937626",
|
|
"metadata": {
|
|
"jupyter": {
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Extract weights from the LSTM layer\n",
|
|
"lstm_layer = model_4f.layers[0]\n",
|
|
"lstm_weights = lstm_layer.get_weights()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 251,
|
|
"id": "1f7cdb81-3ea1-467d-8492-fbdc469a4039",
|
|
"metadata": {
|
|
"jupyter": {
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Kernel shape: (4, 8)\n",
|
|
"Recurrent Kernel shape: (2, 8)\n",
|
|
"Bias shape: (8,)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"kernel, recurrent_kernel, bias = lstm_weights\n",
|
|
"\n",
|
|
"# Print the shapes\n",
|
|
"print(f\"Kernel shape: {kernel.shape}\")\n",
|
|
"print(f\"Recurrent Kernel shape: {recurrent_kernel.shape}\")\n",
|
|
"print(f\"Bias shape: {bias.shape}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 164,
|
|
"id": "5be4cb34-6a95-426f-b08f-1c26fcfdaa90",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Kernel weights: [[-0.29570043 -0.5004754 0.20667636 0.10042548 0.53247315 0.3485367\n",
|
|
" 0.06583369 0.30498368]\n",
|
|
" [-0.0952394 0.6267162 -0.5430347 -0.11614949 -0.14094801 0.45296112\n",
|
|
" 0.46237165 -0.5539824 ]\n",
|
|
" [-0.6704555 -0.32267913 -0.02672264 -0.01044066 -0.55034953 -0.5247029\n",
|
|
" -0.39970452 -0.2879326 ]\n",
|
|
" [-0.4440828 -0.69091105 0.5708396 -0.62216336 0.01680009 0.60691565\n",
|
|
" 0.504008 -0.2612597 ]]\n",
|
|
"Recurrent kernel weights: [[-0.48168886 0.55765843 -0.29909894 -0.32422814 -0.07709108 0.16607761\n",
|
|
" -0.40783387 -0.2501138 ]\n",
|
|
" [-0.4924853 -0.33605534 0.23202763 0.33475357 -0.5284006 0.42610377\n",
|
|
" 0.03789801 -0.12824975]]\n",
|
|
"Bias weights: [-1.3965615e-05 -1.7603061e-06 9.9997938e-01 9.9999720e-01\n",
|
|
" -1.3367771e-03 -2.4126284e-05 -1.4065922e-05 -1.7748447e-06]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Print the weights\n",
|
|
"print(\"Kernel weights:\", kernel)\n",
|
|
"print(\"Recurrent kernel weights:\", recurrent_kernel)\n",
|
|
"print(\"Bias weights:\", bias)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "0e45e12e-f729-4aa6-b55f-b5b19767f9cf",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e2a8bd8b-09d5-4599-8b78-d063c36cacfc",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b02d6254-744a-49b0-8e37-362dd8ac2b3a",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 114,
|
|
"id": "326bc277-6354-44d9-84b3-48d2031af9a4",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample_size: 10503\n",
|
|
"cnt_thrown_idx = 0\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Validation Set - Helper\n",
|
|
"\n",
|
|
"# Reset Index\n",
|
|
"sample_valid = sample_valid.reset_index(drop = True)\n",
|
|
"sample_size = sample_valid.shape[0]\n",
|
|
"print ('sample_size: ', sample_size)\n",
|
|
"# sample_valid.head()\n",
|
|
"# sl = 8 # <--- sequence length\n",
|
|
"batch_valid = 2 # <--- batch size\n",
|
|
"# n_features = 8 # <---- no. of variables\n",
|
|
"# n_out = 1 # <----- no. of predicted variables\n",
|
|
"# frwd = 1 # <--- how many to predict\n",
|
|
"\n",
|
|
"# Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"sample_valid['Selected'] = 0\n",
|
|
"\n",
|
|
"\n",
|
|
"# Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"sample_valid.loc[:, 'Selected'] = 0\n",
|
|
"\n",
|
|
"# Selecting m random rows without replacement\n",
|
|
"np.random.seed(125)\n",
|
|
"selected_indices = np.random.choice(sample_valid.index, size = batch_valid, replace = False)\n",
|
|
"\n",
|
|
"sample_valid.loc[selected_indices, 'Selected'] = 1 \n",
|
|
"\n",
|
|
"chosen_idx = sample_valid[sample_valid['Selected'] == 1].index\n",
|
|
"\n",
|
|
"cnt_thrown_idx1 = 0\n",
|
|
"cnt_thrown_idx2 = 0\n",
|
|
"\n",
|
|
"for idx in chosen_idx: \n",
|
|
" if (idx-(sl-1) < 0):\n",
|
|
" # print ('scratch index on a left: ', idx)\n",
|
|
" cnt_thrown_idx1 = cnt_thrown_idx1 + 1\n",
|
|
" # print ('cnt_thrown_idx1: ', cnt_thrown_idx1)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"for idx in chosen_idx:\n",
|
|
" if (idx+(frwd+1) > sample_size):\n",
|
|
" # print ('scratch index on a right: ', idx)\n",
|
|
" cnt_thrown_idx2 = cnt_thrown_idx2 + 1\n",
|
|
" # print ('cnt_thrown_idx2: ', cnt_thrown_idx2)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"cnt_thrown_idx = cnt_thrown_idx1 + cnt_thrown_idx2\n",
|
|
"\n",
|
|
"print ('cnt_thrown_idx = ', cnt_thrown_idx)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a9b55814-7b37-4d11-bece-934a89caf6e3",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 115,
|
|
"id": "a451868c-e7a3-4e09-8fa4-0f4ae45f743f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample_size: 10503\n",
|
|
"cnt_thrown_idx = 0\n",
|
|
"Selected Indices: \n",
|
|
"[1043 948]\n",
|
|
"================== trend lines ===================\n",
|
|
"coef_xrp: [-1.05565788e-05 4.80812668e-01]\n",
|
|
"0.4794191996298865\n",
|
|
"0.47940864305106956\n",
|
|
"0.4793980864722526\n",
|
|
"0.47938752989343575\n",
|
|
"0.4793769733146188\n",
|
|
"0.4793664167358019\n",
|
|
"0.47935586015698495\n",
|
|
"0.479345303578168\n",
|
|
"0.4793347469993511\n",
|
|
"0.47932419042053415\n",
|
|
"coef_eth: [-8.99630061e-06 3.46768409e-01]\n",
|
|
"0.345580897524867\n",
|
|
"0.3455719012242612\n",
|
|
"0.3455629049236554\n",
|
|
"0.34555390862304963\n",
|
|
"0.34554491232244383\n",
|
|
"0.34553591602183803\n",
|
|
"0.3455269197212323\n",
|
|
"0.3455179234206265\n",
|
|
"0.3455089271200207\n",
|
|
"0.34549993081941494\n",
|
|
"coef_ltc: [-1.38826421e-05 7.45367646e-01]\n",
|
|
"0.7435351376359008\n",
|
|
"0.7435212549938341\n",
|
|
"0.7435073723517674\n",
|
|
"0.7434934897097009\n",
|
|
"0.7434796070676342\n",
|
|
"0.7434657244255676\n",
|
|
"0.7434518417835009\n",
|
|
"0.7434379591414342\n",
|
|
"0.7434240764993676\n",
|
|
"0.7434101938573009\n",
|
|
"coef_btc: [-2.24646653e-06 6.27287325e-01]\n",
|
|
"y_btc_trend: [7.25456054e-316 0.00000000e+000 6.93407703e-310 0.00000000e+000\n",
|
|
" 1.48219694e-323 0.00000000e+000 0.00000000e+000 1.63041663e-322\n",
|
|
" 1.33230548e-315 1.34057029e-315]\n",
|
|
"f: 0\n",
|
|
"132\n",
|
|
"0.6269907910363173\n",
|
|
"f: 1\n",
|
|
"133\n",
|
|
"0.6269885445697866\n",
|
|
"f: 2\n",
|
|
"134\n",
|
|
"0.6269862981032559\n",
|
|
"f: 3\n",
|
|
"135\n",
|
|
"0.6269840516367252\n",
|
|
"f: 4\n",
|
|
"136\n",
|
|
"0.6269818051701946\n",
|
|
"f: 5\n",
|
|
"137\n",
|
|
"0.626979558703664\n",
|
|
"f: 6\n",
|
|
"138\n",
|
|
"0.6269773122371333\n",
|
|
"f: 7\n",
|
|
"139\n",
|
|
"0.6269750657706026\n",
|
|
"f: 8\n",
|
|
"140\n",
|
|
"0.626972819304072\n",
|
|
"f: 9\n",
|
|
"141\n",
|
|
"0.6269705728375413\n",
|
|
"coef_xrp: [-6.41758804e-06 4.79739291e-01]\n",
|
|
"0.4788921697894977\n",
|
|
"0.478885752201461\n",
|
|
"0.4788793346134243\n",
|
|
"0.4788729170253876\n",
|
|
"0.4788664994373509\n",
|
|
"0.47886008184931417\n",
|
|
"0.47885366426127746\n",
|
|
"0.47884724667324075\n",
|
|
"0.47884082908520403\n",
|
|
"0.4788344114971673\n",
|
|
"coef_eth: [7.70874184e-06 3.45934994e-01]\n",
|
|
"0.3469525479990746\n",
|
|
"0.3469602567409153\n",
|
|
"0.34696796548275605\n",
|
|
"0.34697567422459674\n",
|
|
"0.3469833829664375\n",
|
|
"0.3469910917082782\n",
|
|
"0.34699880045011894\n",
|
|
"0.34700650919195963\n",
|
|
"0.3470142179338004\n",
|
|
"0.3470219266756411\n",
|
|
"coef_ltc: [2.32787903e-05 7.44222967e-01]\n",
|
|
"0.747295766828591\n",
|
|
"0.7473190456189047\n",
|
|
"0.7473423244092184\n",
|
|
"0.7473656031995322\n",
|
|
"0.747388881989846\n",
|
|
"0.7474121607801597\n",
|
|
"0.7474354395704734\n",
|
|
"0.7474587183607871\n",
|
|
"0.7474819971511009\n",
|
|
"0.7475052759414147\n",
|
|
"coef_btc: [3.56708309e-05 6.26609389e-01]\n",
|
|
"y_btc_trend: [1.15635320e-315 0.00000000e+000 5.68844679e-001 5.68878757e-001\n",
|
|
" 5.68912835e-001 5.68946913e-001 5.68980992e-001 5.69015070e-001\n",
|
|
" 5.69049148e-001 5.69083227e-001]\n",
|
|
"f: 0\n",
|
|
"132\n",
|
|
"0.6313179382835993\n",
|
|
"f: 1\n",
|
|
"133\n",
|
|
"0.6313536091144759\n",
|
|
"f: 2\n",
|
|
"134\n",
|
|
"0.6313892799453525\n",
|
|
"f: 3\n",
|
|
"135\n",
|
|
"0.6314249507762292\n",
|
|
"f: 4\n",
|
|
"136\n",
|
|
"0.6314606216071058\n",
|
|
"f: 5\n",
|
|
"137\n",
|
|
"0.6314962924379824\n",
|
|
"f: 6\n",
|
|
"138\n",
|
|
"0.6315319632688591\n",
|
|
"f: 7\n",
|
|
"139\n",
|
|
"0.6315676340997357\n",
|
|
"f: 8\n",
|
|
"140\n",
|
|
"0.6316033049306123\n",
|
|
"f: 9\n",
|
|
"141\n",
|
|
"0.631638975761489\n",
|
|
"YYYY ====== Actual Input ====== YYYY\n",
|
|
"[[[0.4806 0.34601 0.7437 0.6270595]\n",
|
|
" [0.4808 0.346132 0.7441 0.6273681]\n",
|
|
" [0.4809 0.346162 0.744 0.6273349]\n",
|
|
" [0.4797 0.346435 0.7451 0.6272914]\n",
|
|
" [0.4796 0.346517 0.7448 0.6275416]\n",
|
|
" [0.4805 0.347087 0.7464 0.6289739]\n",
|
|
" [0.4812 0.347144 0.7468 0.6289541]\n",
|
|
" [0.481 0.347189 0.7465 0.6289371]\n",
|
|
" [0.4816 0.347198 0.7471 0.6291418]\n",
|
|
" [0.4819 0.347221 0.7467 0.6293603]]\n",
|
|
"\n",
|
|
" [[0.4793 0.346647 0.7481 0.6318582]\n",
|
|
" [0.479 0.346338 0.748 0.6312767]\n",
|
|
" [0.4785 0.346325 0.7451 0.6294252]\n",
|
|
" [0.4785 0.346349 0.7476 0.6311476]\n",
|
|
" [0.4783 0.346508 0.7476 0.6314576]\n",
|
|
" [0.4786 0.346429 0.7474 0.6309789]\n",
|
|
" [0.4786 0.346227 0.7472 0.6306762]\n",
|
|
" [0.4786 0.346355 0.7475 0.6309553]\n",
|
|
" [0.4785 0.346414 0.7476 0.6309527]\n",
|
|
" [0.4786 0.346253 0.7476 0.6306543]]]\n",
|
|
"(2, 10, 4)\n",
|
|
"YYYY ====== Trend Input ======= YYYY\n",
|
|
"[[[0.4794192 0.3455809 0.74353514 0.62699079]\n",
|
|
" [0.47940864 0.3455719 0.74352125 0.62698854]\n",
|
|
" [0.47939809 0.3455629 0.74350737 0.6269863 ]\n",
|
|
" [0.47938753 0.34555391 0.74349349 0.62698405]\n",
|
|
" [0.47937697 0.34554491 0.74347961 0.62698181]\n",
|
|
" [0.47936642 0.34553592 0.74346572 0.62697956]\n",
|
|
" [0.47935586 0.34552692 0.74345184 0.62697731]\n",
|
|
" [0.4793453 0.34551792 0.74343796 0.62697507]\n",
|
|
" [0.47933475 0.34550893 0.74342408 0.62697282]\n",
|
|
" [0.47932419 0.34549993 0.74341019 0.62697057]]\n",
|
|
"\n",
|
|
" [[0.47889217 0.34695255 0.74729577 0.63131794]\n",
|
|
" [0.47888575 0.34696026 0.74731905 0.63135361]\n",
|
|
" [0.47887933 0.34696797 0.74734232 0.63138928]\n",
|
|
" [0.47887292 0.34697567 0.7473656 0.63142495]\n",
|
|
" [0.4788665 0.34698338 0.74738888 0.63146062]\n",
|
|
" [0.47886008 0.34699109 0.74741216 0.63149629]\n",
|
|
" [0.47885366 0.3469988 0.74743544 0.63153196]\n",
|
|
" [0.47884725 0.34700651 0.74745872 0.63156763]\n",
|
|
" [0.47884083 0.34701422 0.747482 0.6316033 ]\n",
|
|
" [0.47883441 0.34702193 0.74750528 0.63163898]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"YYYY ====== De-Trend Input ======= YYYY\n",
|
|
"[[[ 1.18080037e-03 4.29102475e-04 1.64862364e-04 6.87089637e-05]\n",
|
|
" [ 1.39135695e-03 5.60098776e-04 5.78745006e-04 3.79555430e-04]\n",
|
|
" [ 1.50191353e-03 5.99095076e-04 4.92627648e-04 3.48601897e-04]\n",
|
|
" [ 3.12470107e-04 8.81091377e-04 1.60651029e-03 3.07348363e-04]\n",
|
|
" [ 2.23026685e-04 9.72087678e-04 1.32039293e-03 5.59794830e-04]\n",
|
|
" [ 1.13358326e-03 1.55108398e-03 2.93427557e-03 1.99434130e-03]\n",
|
|
" [ 1.84413984e-03 1.61708028e-03 3.34815822e-03 1.97678776e-03]\n",
|
|
" [ 1.65469642e-03 1.67107658e-03 3.06204086e-03 1.96203423e-03]\n",
|
|
" [ 2.26525300e-03 1.68907288e-03 3.67592350e-03 2.16898070e-03]\n",
|
|
" [ 2.57580958e-03 1.72106918e-03 3.28980614e-03 2.38972716e-03]]\n",
|
|
"\n",
|
|
" [[ 4.07830211e-04 -3.05547999e-04 8.04233171e-04 5.40261716e-04]\n",
|
|
" [ 1.14247799e-04 -6.22256741e-04 6.80954381e-04 -7.69091145e-05]\n",
|
|
" [-3.79334613e-04 -6.42965483e-04 -2.24232441e-03 -1.96407995e-03]\n",
|
|
" [-3.72917025e-04 -6.26674225e-04 2.34396800e-04 -2.77350776e-04]\n",
|
|
" [-5.66499437e-04 -4.75382966e-04 2.11118010e-04 -3.02160711e-06]\n",
|
|
" [-2.60081849e-04 -5.62091708e-04 -1.21607802e-05 -5.17392438e-04]\n",
|
|
" [-2.53664261e-04 -7.71800450e-04 -2.35439570e-04 -8.55763269e-04]\n",
|
|
" [-2.47246673e-04 -6.51509192e-04 4.12816392e-05 -6.12334100e-04]\n",
|
|
" [-3.40829085e-04 -6.00217934e-04 1.18002849e-04 -6.50604931e-04]\n",
|
|
" [-2.34411497e-04 -7.68926676e-04 9.47240586e-05 -9.84675761e-04]]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# De-Trend Model\n",
|
|
"# variables are close and volume\n",
|
|
"\n",
|
|
"# Validation Set - 07.21.2024\n",
|
|
"# ============================\n",
|
|
"# Reset Index\n",
|
|
"sample_valid = sample_valid.reset_index(drop = True)\n",
|
|
"sample_size = sample_valid.shape[0]\n",
|
|
"print ('sample_size: ', sample_size)\n",
|
|
"# sample_valid.head()\n",
|
|
"# sl = 8 # <--- sequence length\n",
|
|
"batch_valid = 2 # <--- batch size\n",
|
|
"# n_features = 8 # <---- no. of variables\n",
|
|
"# n_out = 1 # <----- no. of predicted variables\n",
|
|
"# frwd = 1 # <--- how many to predict\n",
|
|
"\n",
|
|
"## Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"sample_valid.loc[:, 'Selected'] = 0\n",
|
|
"\n",
|
|
"# Selecting m random rows without replacement\n",
|
|
"np.random.seed(125)\n",
|
|
"selected_indices = np.random.choice(sample_valid.index, size = batch_valid, replace = False)\n",
|
|
"\n",
|
|
"sample_valid.loc[selected_indices, 'Selected'] = 1 \n",
|
|
"\n",
|
|
"chosen_idx = sample_valid[sample_valid['Selected'] == 1].index\n",
|
|
"\n",
|
|
"cnt_thrown_idx1 = 0\n",
|
|
"cnt_thrown_idx2 = 0\n",
|
|
"\n",
|
|
"for idx in chosen_idx: \n",
|
|
" if (idx-(sl-1) < 0):\n",
|
|
" # print ('scratch index on a left: ', idx)\n",
|
|
" cnt_thrown_idx1 = cnt_thrown_idx1 + 1\n",
|
|
" # print ('cnt_thrown_idx1: ', cnt_thrown_idx1)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"for idx in chosen_idx:\n",
|
|
" if (idx+(frwd+1) > sample_size):\n",
|
|
" # print ('scratch index on a right: ', idx)\n",
|
|
" cnt_thrown_idx2 = cnt_thrown_idx2 + 1\n",
|
|
" # print ('cnt_thrown_idx2: ', cnt_thrown_idx2)\n",
|
|
" chosen_idx = chosen_idx.drop(idx)\n",
|
|
" # print (chosen_idx)\n",
|
|
"\n",
|
|
"cnt_thrown_idx = cnt_thrown_idx1 + cnt_thrown_idx2\n",
|
|
"\n",
|
|
"print ('cnt_thrown_idx = ', cnt_thrown_idx)\n",
|
|
"\n",
|
|
"print ('Selected Indices: ')\n",
|
|
"print (selected_indices)\n",
|
|
"# print ('=============================================')\n",
|
|
"\n",
|
|
"all_ts_close_xrp = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_eth = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_ltc = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"aft_ts_close_xrp = np.empty((1))\n",
|
|
"aft_ts_close_eth = np.empty((1))\n",
|
|
"aft_ts_close_ltc = np.empty((1))\n",
|
|
"aft_ts_close_btc = np.empty((1))\n",
|
|
"\n",
|
|
"# print (all_ts_close_btc)\n",
|
|
"# print (aft_ts_close_btc)\n",
|
|
"\n",
|
|
"for idx in chosen_idx:\n",
|
|
" selected_rows_before = sample_valid.iloc[max(0, idx-sl): idx]\n",
|
|
" selected_rows_after = sample_valid.iloc[max(0, idx): idx+frwd]\n",
|
|
" # print ('idx: ', idx)\n",
|
|
"\n",
|
|
" # xrp\n",
|
|
" sr_before_close_xrp = np.array(selected_rows_before['close_xrp'])\n",
|
|
" sr_after_close_xrp = np.array(selected_rows_after['close_xrp']) \n",
|
|
" # print (sr_before_close_xrp)\n",
|
|
" sr_before_volume_xrp = np.array(selected_rows_before['volume_xrp'])\n",
|
|
" sr_after_volume_xrp = np.array(selected_rows_after['volume_xrp']) \n",
|
|
" # print (sr_before_volume_xrp) \n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_xrp = np.average(sr_after_close_xrp, weights = sr_after_volume_xrp)\n",
|
|
" # print ('XRP w.average: ', weighted_avg_xrp)\n",
|
|
"\n",
|
|
"# eth\n",
|
|
" sr_before_close_eth = np.array(selected_rows_before['close_eth'])\n",
|
|
" sr_after_close_eth = np.array(selected_rows_after['close_eth'])\n",
|
|
" sr_before_volume_eth = np.array(selected_rows_before['volume_eth'])\n",
|
|
" sr_after_volume_eth = np.array(selected_rows_after['volume_eth'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_eth = np.average(sr_after_close_eth, weights = sr_after_volume_eth)\n",
|
|
" # print ('ETH w.average: ', weighted_avg_eth)\n",
|
|
" \n",
|
|
"# ltc\n",
|
|
" sr_before_close_ltc = np.array(selected_rows_before['close_ltc'])\n",
|
|
" sr_after_close_ltc = np.array(selected_rows_after['close_ltc'])\n",
|
|
" sr_before_volume_ltc = np.array(selected_rows_before['volume_ltc'])\n",
|
|
" sr_after_volume_ltc = np.array(selected_rows_after['volume_ltc'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_ltc = np.average(sr_after_close_ltc, weights = sr_after_volume_ltc)\n",
|
|
" # print ('LTC w.average: ', weighted_avg_ltc)\n",
|
|
"\n",
|
|
"# btc\n",
|
|
" sr_before_close_btc = np.array(selected_rows_before['close_btc'])\n",
|
|
" sr_after_close_btc = np.array(selected_rows_after['close_btc'])\n",
|
|
" sr_before_volume_btc = np.array(selected_rows_before['volume_btc'])\n",
|
|
" sr_after_volume_btc = np.array(selected_rows_after['volume_btc'])\n",
|
|
"\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_btc = np.average(sr_after_close_btc, weights = sr_after_volume_btc)\n",
|
|
" # print ('BTC w.average: ', weighted_avg_btc)\n",
|
|
"\n",
|
|
"# xrp\n",
|
|
" all_ts_close_xrp = np.concatenate((all_ts_close_xrp, sr_before_close_xrp))\n",
|
|
" all_ts_volume_xrp = np.concatenate((all_ts_volume_xrp, sr_before_volume_xrp))\n",
|
|
"# eth\n",
|
|
" all_ts_close_eth = np.concatenate((all_ts_close_eth, sr_before_close_eth))\n",
|
|
" all_ts_volume_eth = np.concatenate((all_ts_volume_eth, sr_before_volume_eth))\n",
|
|
"# ltc\n",
|
|
" all_ts_close_ltc = np.concatenate((all_ts_close_ltc, sr_before_close_ltc))\n",
|
|
" all_ts_volume_ltc = np.concatenate((all_ts_volume_ltc, sr_before_volume_ltc))\n",
|
|
"# btc\n",
|
|
" all_ts_close_btc = np.concatenate((all_ts_close_btc, sr_before_close_btc))\n",
|
|
" all_ts_volume_btc = np.concatenate((all_ts_volume_btc, sr_before_volume_btc))\n",
|
|
"\n",
|
|
" aft_ts_close_xrp = np.concatenate((aft_ts_close_xrp, sr_after_close_xrp))\n",
|
|
" aft_ts_close_eth = np.concatenate((aft_ts_close_eth, sr_after_close_eth))\n",
|
|
" aft_ts_close_ltc = np.concatenate((aft_ts_close_ltc, sr_after_close_ltc))\n",
|
|
" aft_ts_close_btc = np.concatenate((aft_ts_close_btc, sr_after_close_btc))\n",
|
|
"\n",
|
|
"X_XRP_close = all_ts_close_xrp[1:]\n",
|
|
"X_XRP_volume = all_ts_volume_xrp[1:]\n",
|
|
"\n",
|
|
"X_ETH_close = all_ts_close_eth[1:]\n",
|
|
"X_ETH_volume = all_ts_volume_eth[1:]\n",
|
|
"\n",
|
|
"X_LTC_close = all_ts_close_ltc[1:]\n",
|
|
"X_LTC_volume = all_ts_volume_ltc[1:]\n",
|
|
"\n",
|
|
"X_BTC_close = all_ts_close_btc[1:]\n",
|
|
"X_BTC_volume = all_ts_volume_btc[1:]\n",
|
|
"\n",
|
|
"# X0 = np.column_stack((X_XRP_close, X_XRP_volume, \n",
|
|
"# X_ETH_close, X_ETH_volume, \n",
|
|
"# X_LTC_close, X_LTC_volume, \n",
|
|
"# X_BTC_close, X_BTC_volume))\n",
|
|
"\n",
|
|
"X0_valid = np.column_stack((X_XRP_close,\n",
|
|
" X_ETH_close,\n",
|
|
" X_LTC_close,\n",
|
|
" X_BTC_close))\n",
|
|
"# print (X0)\n",
|
|
"\n",
|
|
"# ======== Model Input =========\n",
|
|
"X_valid = X0_valid.reshape(batch_valid-cnt_thrown_idx, sl, n_features)\n",
|
|
"# print ('================ original series =================') \n",
|
|
"# print ('XXXX ====== Actual Input ====== XXXX')\n",
|
|
"# print (X)\n",
|
|
"# print (X.shape)\n",
|
|
"\n",
|
|
"print ('================== trend lines ===================') \n",
|
|
"\n",
|
|
"y_XRP = aft_ts_close_xrp[1:]\n",
|
|
"y_ETH = aft_ts_close_eth[1:]\n",
|
|
"y_LTC = aft_ts_close_ltc[1:]\n",
|
|
"y_BTC = aft_ts_close_btc[1:]\n",
|
|
"# print ('y_BTC: ', y_BTC)\n",
|
|
"\n",
|
|
"y_valid = np.column_stack((y_XRP, y_ETH, y_LTC, y_BTC))\n",
|
|
"# print (y)\n",
|
|
"\n",
|
|
"y_valid = y_valid.reshape(batch_valid-cnt_thrown_idx, frwd, n_out)\n",
|
|
"# print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"# print (y)\n",
|
|
"# print (y.shape)\n",
|
|
"\n",
|
|
"def detrend_series(series):\n",
|
|
" trend = np.polyfit(np.arange(len(series)), series.values, 1)\n",
|
|
" trend_line = np.polyval(trend, np.arange(len(series)))\n",
|
|
" detrended_series = series - trend_line\n",
|
|
" return detrended_series\n",
|
|
"\n",
|
|
"crypto_list = ['XRP', 'ETH', 'LTC', 'BTC']\n",
|
|
"\n",
|
|
"X_valid_trend = np.zeros((batch_valid-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print ('X_trend')\n",
|
|
"# print (X_trend)\n",
|
|
"\n",
|
|
"X_valid_detrend = np.zeros((batch_valid-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print ('X_detrend')\n",
|
|
"# print (X_detrend)\n",
|
|
"\n",
|
|
"y_valid_trend = np.zeros((batch_valid-cnt_thrown_idx, frwd, n_out))\n",
|
|
"# print ('y_trend')\n",
|
|
"# print (y_trend)\n",
|
|
"\n",
|
|
"for j in range(batch_valid-cnt_thrown_idx):\n",
|
|
" # print (' ')\n",
|
|
" # print (' j = ', j)\n",
|
|
" df_trend = pd.DataFrame(X_valid[j], columns = crypto_list)\n",
|
|
" # print ('df_trend: ', df_trend)\n",
|
|
" \n",
|
|
"# XRP\n",
|
|
" coef_xrp = np.polyfit(np.arange(len(df_trend)), df_trend['XRP'], 1)\n",
|
|
" print (\"coef_xrp: \", coef_xrp) \n",
|
|
" trend_line_xrp = np.polyval(coef_xrp, np.arange(len(df_trend)))\n",
|
|
" detrended_series_xrp = df_trend['XRP'] - trend_line_xrp\n",
|
|
" detrend_xrp = detrended_series_xrp.to_numpy() \n",
|
|
"\n",
|
|
" y_xrp_trend = np.empty(frwd)\n",
|
|
" # print ('y_xrp_trend: ', y_xrp_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_xrp_trend[f] = coef_xrp[0]*(len(df_trend)+f) + coef_xrp[1] \n",
|
|
" print (y_xrp_trend[f])\n",
|
|
"\n",
|
|
" # ETH\n",
|
|
" coef_eth = np.polyfit(np.arange(len(df_trend)), df_trend['ETH'], 1)\n",
|
|
" print (\"coef_eth: \", coef_eth)\n",
|
|
" trend_line_eth = np.polyval(coef_eth, np.arange(len(df_trend)))\n",
|
|
" detrended_series_eth = df_trend['ETH'] - trend_line_eth\n",
|
|
" detrend_eth = detrended_series_eth.to_numpy()\n",
|
|
"\n",
|
|
" y_eth_trend = np.empty(frwd)\n",
|
|
" # print ('y_eth_trend: ', y_eth_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_eth_trend[f] = coef_eth[0]*(len(df_trend)+f) + coef_eth[1] \n",
|
|
" print (y_eth_trend[f])\n",
|
|
" \n",
|
|
"# LTC \n",
|
|
" coef_ltc = np.polyfit(np.arange(len(df_trend)), df_trend['LTC'], 1)\n",
|
|
" print (\"coef_ltc: \", coef_ltc)\n",
|
|
" trend_line_ltc = np.polyval(coef_ltc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_ltc = df_trend['LTC'] - trend_line_ltc\n",
|
|
" detrend_ltc = detrended_series_ltc.to_numpy()\n",
|
|
"\n",
|
|
" y_ltc_trend = np.empty(frwd)\n",
|
|
" # print ('y_ltc_trend: ', y_ltc_trend)\n",
|
|
" for f in range(frwd):\n",
|
|
" y_ltc_trend[f] = coef_ltc[0]*(len(df_trend) + f) + coef_ltc[1] \n",
|
|
" print (y_ltc_trend[f])\n",
|
|
"\n",
|
|
"# BTC \n",
|
|
" coef_btc = np.polyfit(np.arange(len(df_trend)), df_trend['BTC'], 1)\n",
|
|
" # print ('df_trend[BTC]: ', df_trend['BTC'])\n",
|
|
" print (\"coef_btc: \", coef_btc)\n",
|
|
" trend_line_btc = np.polyval(coef_btc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_btc = df_trend['BTC'] - trend_line_btc\n",
|
|
" detrend_btc = detrended_series_btc.to_numpy()\n",
|
|
"\n",
|
|
" y_btc_trend = np.empty(frwd)\n",
|
|
" \n",
|
|
" print ('y_btc_trend: ', y_btc_trend)\n",
|
|
" \n",
|
|
" for f in range(frwd):\n",
|
|
" \n",
|
|
" y_btc_trend[f] = coef_btc[0]*(len(df_trend) + f) + coef_btc[1] \n",
|
|
" print ('f: ', f)\n",
|
|
" print (len(df_trend) + f)\n",
|
|
" print (y_btc_trend[f])\n",
|
|
" \n",
|
|
"\n",
|
|
" # print ('y_btc_trend: ', y_btc_trend)\n",
|
|
" # print ('type of y_btc_trend: ', type (y_btc_trend))\n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" trend_dict = {'XRP' : trend_line_xrp, \n",
|
|
" 'ETH' : trend_line_eth, \n",
|
|
" 'LTC' : trend_line_ltc, \n",
|
|
" 'BTC' : trend_line_btc\n",
|
|
" }\n",
|
|
" df = pd.DataFrame(trend_dict)\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
" \n",
|
|
" X0_valid_trend = df.to_numpy()\n",
|
|
" \n",
|
|
" X_valid_trend[j] += X0_valid_trend \n",
|
|
"\n",
|
|
" detrend_dict = {'XRP' : detrend_xrp, \n",
|
|
" 'ETH' : detrend_eth, \n",
|
|
" 'LTC' : detrend_ltc, \n",
|
|
" 'BTC' : detrend_btc\n",
|
|
" }\n",
|
|
" \n",
|
|
" df = pd.DataFrame(detrend_dict)\n",
|
|
"\n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in detrend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
" X0_valid_detrend = df.to_numpy()\n",
|
|
"\n",
|
|
" X_valid_detrend[j] += X0_valid_detrend \n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" # y_trend_dict = {'XRP' : np.array([y_xrp_trend]), \n",
|
|
" # 'ETH' : np.array([y_eth_trend]), \n",
|
|
" # 'LTC' : np.array([y_ltc_trend]), \n",
|
|
" # 'BTC' : np.array([y_btc_trend])\n",
|
|
" # }\n",
|
|
"\n",
|
|
" # Create a dictionary with the data\n",
|
|
" y_valid_trend_dict = {'XRP' : y_xrp_trend, \n",
|
|
" 'ETH' : y_eth_trend, \n",
|
|
" 'LTC' : y_ltc_trend, \n",
|
|
" 'BTC' : y_btc_trend\n",
|
|
" }\n",
|
|
" # print (y_valid_trend_dict)\n",
|
|
"\n",
|
|
" df1 = pd.DataFrame(y_valid_trend_dict)\n",
|
|
"\n",
|
|
" # print (' df1 ')\n",
|
|
" # print (df1)\n",
|
|
" # print (df1.shape)\n",
|
|
" # print (' ')\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for key, value in y_valid_trend_dict.items():\n",
|
|
" # print(f\"{key}: {value}\")\n",
|
|
" df1[key] = value\n",
|
|
"\n",
|
|
" y_valid_tr = df1.to_numpy()\n",
|
|
" y_valid_trend[j] += y_valid_tr\n",
|
|
"\n",
|
|
"print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"print (y_valid)\n",
|
|
"print (y_valid.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== Trend Input ======= YYYY')\n",
|
|
"print (y_valid_trend)\n",
|
|
"print (type(y_valid_trend))\n",
|
|
"print (y_valid_trend.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== De-Trend Input ======= YYYY')\n",
|
|
"y_valid_detrend = y_valid - y_valid_trend\n",
|
|
"print (y_valid_detrend)\n",
|
|
"# print (type(y_detrend))\n",
|
|
"# print (y_detrend.shape)\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 116,
|
|
"id": "9f36ca5e-c891-4cfe-aa9a-5719081d0bfa",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[[[0.48081267 0.34676841 0.74536765 0.62728732]\n",
|
|
" [0.48080211 0.34675941 0.74535376 0.62728508]\n",
|
|
" [0.48079155 0.34675042 0.74533988 0.62728283]\n",
|
|
" ...\n",
|
|
" [0.47945087 0.34560789 0.74357679 0.62699753]\n",
|
|
" [0.47944031 0.34559889 0.7435629 0.62699528]\n",
|
|
" [0.47942976 0.34558989 0.74354902 0.62699304]]\n",
|
|
"\n",
|
|
" [[0.47973929 0.34593499 0.74422297 0.62660939]\n",
|
|
" [0.47973287 0.3459427 0.74424625 0.62664506]\n",
|
|
" [0.47972646 0.34595041 0.74426952 0.62668073]\n",
|
|
" ...\n",
|
|
" [0.47891142 0.34692942 0.74722593 0.63121093]\n",
|
|
" [0.478905 0.34693713 0.74724921 0.6312466 ]\n",
|
|
" [0.47889859 0.34694484 0.74727249 0.63128227]]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print (X_valid_trend)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "61b697f5-7b7a-42af-bfdc-9254b437c405",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"'''erase later'''"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 364,
|
|
"id": "535dd94b-a5a2-40e5-9b51-123eb0858194",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true,
|
|
"source_hidden": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"sample_size: 10503\n",
|
|
"selected_indices: [ 8150 6285 9376 5205 9639 2760 6835 10459 8493 1643]\n",
|
|
"sequence length: 32\n",
|
|
"chosen_idx1: Index([1643, 2760, 5205, 6285, 6835, 8150, 8493, 9376, 9639, 10459], dtype='int64')\n",
|
|
"chosen_idx2: Index([1643, 2760, 5205, 6285, 6835, 8150, 8493, 9376, 9639, 10459], dtype='int64')\n",
|
|
"thrown_idx1: Index([], dtype='int64')\n",
|
|
"chosen_idx3: Index([1643, 2760, 5205, 6285, 6835, 8150, 8493, 9376, 9639, 10459], dtype='int64')\n",
|
|
"cnt_thrown_idx: 0\n",
|
|
"[ 8150 6285 9376 5205 9639 2760 6835 10459 8493 1643]\n",
|
|
"(10, 1, 4)\n",
|
|
"0\n",
|
|
"1\n",
|
|
"2\n",
|
|
"3\n",
|
|
"4\n",
|
|
"5\n",
|
|
"6\n",
|
|
"7\n",
|
|
"8\n",
|
|
"9\n",
|
|
"================ original series =================\n",
|
|
"[[[0.4981 0.367673 0.7941 0.6941372]\n",
|
|
" [0.498 0.3677 0.7938 0.6941192]\n",
|
|
" [0.4977 0.367632 0.7936 0.6942 ]\n",
|
|
" ...\n",
|
|
" [0.4966 0.367292 0.792 0.6934778]\n",
|
|
" [0.4965 0.367265 0.7922 0.6935041]\n",
|
|
" [0.4975 0.367529 0.7932 0.693982 ]]\n",
|
|
"\n",
|
|
" [[0.495 0.366019 0.7935 0.6934182]\n",
|
|
" [0.495 0.365843 0.7935 0.6932386]\n",
|
|
" [0.4947 0.365468 0.7928 0.6928099]\n",
|
|
" ...\n",
|
|
" [0.4958 0.366985 0.794 0.6946254]\n",
|
|
" [0.4956 0.367015 0.794 0.6946578]\n",
|
|
" [0.4957 0.367014 0.7944 0.6947339]]\n",
|
|
"\n",
|
|
" [[0.4921 0.357097 0.7873 0.6858147]\n",
|
|
" [0.4902 0.356001 0.7848 0.6818088]\n",
|
|
" [0.4917 0.356783 0.7868 0.6852308]\n",
|
|
" ...\n",
|
|
" [0.4917 0.35677 0.7859 0.6843502]\n",
|
|
" [0.4917 0.356659 0.7855 0.683976 ]\n",
|
|
" [0.4916 0.356706 0.7856 0.6841154]]\n",
|
|
"\n",
|
|
" ...\n",
|
|
"\n",
|
|
" [[0.475 0.348461 0.7783 0.6620523]\n",
|
|
" [0.4752 0.348653 0.7787 0.6621148]\n",
|
|
" [0.4753 0.348673 0.7785 0.6621164]\n",
|
|
" ...\n",
|
|
" [0.4942 0.354953 0.7916 0.66064 ]\n",
|
|
" [0.493 0.354668 0.7912 0.6605386]\n",
|
|
" [0.4933 0.354981 0.7918 0.6606579]]\n",
|
|
"\n",
|
|
" [[0.4922 0.356703 0.7919 0.6620476]\n",
|
|
" [0.4756 0.348644 0.7789 0.6619731]\n",
|
|
" [0.4757 0.348991 0.7791 0.6621132]\n",
|
|
" ...\n",
|
|
" [0.4756 0.348688 0.7786 0.6617526]\n",
|
|
" [0.4758 0.348938 0.7786 0.6619244]\n",
|
|
" [0.476 0.348865 0.779 0.6619421]]\n",
|
|
"\n",
|
|
" [[0.4903 0.358643 0.7908 0.6658477]\n",
|
|
" [0.4902 0.358492 0.7908 0.6657411]\n",
|
|
" [0.4903 0.358522 0.7909 0.6658758]\n",
|
|
" ...\n",
|
|
" [0.4904 0.358522 0.7902 0.6657472]\n",
|
|
" [0.4905 0.358886 0.7907 0.6661144]\n",
|
|
" [0.4908 0.358923 0.7907 0.666177 ]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(10, 32, 4)\n",
|
|
"================== trend lines ===================\n",
|
|
"[[[0.49761193 0.36754488 0.79399091 0.69406511]\n",
|
|
" [0.49758777 0.36753601 0.79392396 0.69404523]\n",
|
|
" [0.49756362 0.36752714 0.793857 0.69402536]\n",
|
|
" ...\n",
|
|
" [0.49691138 0.36728767 0.79204925 0.69348863]\n",
|
|
" [0.49688723 0.3672788 0.79198229 0.69346875]\n",
|
|
" [0.49686307 0.36726993 0.79191534 0.69344887]]\n",
|
|
"\n",
|
|
" [[0.49429773 0.36560173 0.7923125 0.69295419]\n",
|
|
" [0.49434929 0.36564191 0.7923746 0.69301149]\n",
|
|
" [0.49440084 0.3656821 0.79243669 0.69306879]\n",
|
|
" ...\n",
|
|
" [0.49579291 0.36676709 0.79411331 0.69461593]\n",
|
|
" [0.49584446 0.36680728 0.7941754 0.69467323]\n",
|
|
" [0.49589602 0.36684746 0.7942375 0.69473054]]\n",
|
|
"\n",
|
|
" [[0.49146875 0.35676785 0.78636875 0.68542768]\n",
|
|
" [0.49144435 0.3567468 0.78631996 0.6853682 ]\n",
|
|
" [0.49141996 0.35672575 0.78627117 0.68530873]\n",
|
|
" ...\n",
|
|
" [0.49076129 0.35615737 0.78495383 0.68370284]\n",
|
|
" [0.4907369 0.35613632 0.78490504 0.68364337]\n",
|
|
" [0.4907125 0.35611527 0.78485625 0.68358389]]\n",
|
|
"\n",
|
|
" ...\n",
|
|
"\n",
|
|
" [[0.46953182 0.34641479 0.77440284 0.66200189]\n",
|
|
" [0.47020053 0.34664222 0.77486092 0.66195686]\n",
|
|
" [0.47086924 0.34686965 0.77531901 0.66191182]\n",
|
|
" ...\n",
|
|
" [0.48892451 0.35301023 0.78768724 0.66069588]\n",
|
|
" [0.48959322 0.35323766 0.78814533 0.66065085]\n",
|
|
" [0.49026193 0.35346509 0.78860341 0.66060581]]\n",
|
|
"\n",
|
|
" [[0.47756989 0.34969149 0.78065227 0.66193216]\n",
|
|
" [0.47748897 0.3496601 0.78058559 0.6619324 ]\n",
|
|
" [0.47740805 0.34962872 0.78051891 0.66193264]\n",
|
|
" ...\n",
|
|
" [0.4752232 0.34878128 0.77871859 0.6619391 ]\n",
|
|
" [0.47514228 0.3487499 0.77865191 0.66193934]\n",
|
|
" [0.47506136 0.34871851 0.77858523 0.66193958]]\n",
|
|
"\n",
|
|
" [[0.48992614 0.35825136 0.79074318 0.66564312]\n",
|
|
" [0.48993655 0.35825836 0.79073213 0.66564876]\n",
|
|
" [0.48994696 0.35826536 0.79072108 0.6656544 ]\n",
|
|
" ...\n",
|
|
" [0.49022804 0.35845439 0.79042267 0.66580669]\n",
|
|
" [0.49023845 0.35846139 0.79041162 0.66581233]\n",
|
|
" [0.49024886 0.35846839 0.79040057 0.66581797]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(10, 32, 4)\n",
|
|
"================== fluctuations ===================\n",
|
|
"[[[ 4.88068182e-04 1.28119318e-04 1.09090909e-04 7.20869318e-05]\n",
|
|
" [ 4.12225073e-04 1.63988636e-04 -1.23955279e-04 7.39655975e-05]\n",
|
|
" [ 1.36381965e-04 1.04857955e-04 -2.57001466e-04 1.74644263e-04]\n",
|
|
" ...\n",
|
|
" [-3.11381965e-04 4.32954545e-06 -4.92485337e-05 -1.08317632e-05]\n",
|
|
" [-3.87225073e-04 -1.38011364e-05 2.17705279e-04 3.53469025e-05]\n",
|
|
" [ 6.36931818e-04 2.59068182e-04 1.28465909e-03 5.33125568e-04]]\n",
|
|
"\n",
|
|
" [[ 7.02272727e-04 4.17272727e-04 1.18750000e-03 4.64010795e-04]\n",
|
|
" [ 6.50714809e-04 2.01087793e-04 1.12540323e-03 2.27109293e-04]\n",
|
|
" [ 2.99156891e-04 -2.14097141e-04 3.63306452e-04 -2.58892210e-04]\n",
|
|
" ...\n",
|
|
" [ 7.09310850e-06 2.17909641e-04 -1.13306452e-04 9.46721041e-06]\n",
|
|
" [-2.44464809e-04 2.07724707e-04 -1.75403226e-04 -1.54342925e-05]\n",
|
|
" [-1.96022727e-04 1.66539773e-04 1.62500000e-04 3.36420455e-06]]\n",
|
|
"\n",
|
|
" [[ 6.31250000e-04 3.29147727e-04 9.31250000e-04 3.87019886e-04]\n",
|
|
" [-1.24435484e-03 -7.45801320e-04 -1.51995968e-03 -3.55940297e-03]\n",
|
|
" [ 2.80040323e-04 5.72496334e-05 5.28830645e-04 -7.79258248e-05]\n",
|
|
" ...\n",
|
|
" [ 9.38709677e-04 6.12625367e-04 9.46169355e-04 6.47357075e-04]\n",
|
|
" [ 9.63104839e-04 5.22676320e-04 5.94959677e-04 3.32634219e-04]\n",
|
|
" [ 8.87500000e-04 5.90727273e-04 7.43750000e-04 5.31511364e-04]]\n",
|
|
"\n",
|
|
" ...\n",
|
|
"\n",
|
|
" [[ 5.46818182e-03 2.04621023e-03 3.89715909e-03 5.04056818e-05]\n",
|
|
" [ 4.99946848e-03 2.01078134e-03 3.83907625e-03 1.57940598e-04]\n",
|
|
" [ 4.43075513e-03 1.80335246e-03 3.18099340e-03 2.04575513e-04]\n",
|
|
" ...\n",
|
|
" [ 5.27549487e-03 1.94277254e-03 3.91275660e-03 -5.58817632e-05]\n",
|
|
" [ 3.40678152e-03 1.43034366e-03 3.05467375e-03 -1.12246848e-04]\n",
|
|
" [ 3.03806818e-03 1.51591477e-03 3.19659091e-03 5.20880682e-05]]\n",
|
|
"\n",
|
|
" [[ 1.46301136e-02 7.01151136e-03 1.12477273e-02 1.15441477e-04]\n",
|
|
" [-1.88896628e-03 -1.01610227e-03 -1.68559384e-03 4.07021078e-05]\n",
|
|
" [-1.70804619e-03 -6.37715909e-04 -1.41891496e-03 1.80562738e-04]\n",
|
|
" ...\n",
|
|
" [ 3.76796188e-04 -9.32840909e-05 -1.18585044e-04 -1.86500238e-04]\n",
|
|
" [ 6.57716276e-04 1.88102273e-04 -5.19061584e-05 -1.49396078e-05]\n",
|
|
" [ 9.38636364e-04 1.46488636e-04 4.14772727e-04 2.52102273e-06]]\n",
|
|
"\n",
|
|
" [[ 3.73863636e-04 3.91642045e-04 5.68181818e-05 2.04580114e-04]\n",
|
|
" [ 2.63453079e-04 2.33640946e-04 6.78702346e-05 9.23398644e-05]\n",
|
|
" [ 3.53042522e-04 2.56639846e-04 1.78922287e-04 2.21399615e-04]\n",
|
|
" ...\n",
|
|
" [ 1.71957478e-04 6.76101540e-05 -2.22672287e-04 -5.94871151e-05]\n",
|
|
" [ 2.61546921e-04 4.24609054e-04 2.88379765e-04 3.02072636e-04]\n",
|
|
" [ 5.51136364e-04 4.54607955e-04 2.99431818e-04 3.59032386e-04]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(10, 32, 4)\n",
|
|
"YYYY ====== Actual Input ====== YYYY\n",
|
|
"[[[0.4969 0.367197 0.792 0.693339 ]]\n",
|
|
"\n",
|
|
" [[0.4954 0.366854 0.794 0.6943286]]\n",
|
|
"\n",
|
|
" [[0.4916 0.356722 0.7857 0.6839731]]\n",
|
|
"\n",
|
|
" [[0.4843 0.346578 0.7873 0.6690561]]\n",
|
|
"\n",
|
|
" [[0.4876 0.35123 0.7828 0.6765435]]\n",
|
|
"\n",
|
|
" [[0.4738 0.347736 0.7746 0.6600491]]\n",
|
|
"\n",
|
|
" [[0.4792 0.352204 0.7943 0.6711949]]\n",
|
|
"\n",
|
|
" [[0.493 0.35489 0.7919 0.6606399]]\n",
|
|
"\n",
|
|
" [[0.476 0.348922 0.7793 0.6619663]]\n",
|
|
"\n",
|
|
" [[0.4895 0.358064 0.7902 0.6652686]]]\n",
|
|
"(10, 1, 4)\n",
|
|
"YYYY ====== Trend Input ======= YYYY\n",
|
|
"[[[0.49683891 0.36726106 0.79184839 0.693429 ]]\n",
|
|
"\n",
|
|
" [[0.49594758 0.36688765 0.7942996 0.69478784]]\n",
|
|
"\n",
|
|
" [[0.4906881 0.35609422 0.78480746 0.68352441]]\n",
|
|
"\n",
|
|
" [[0.48338246 0.34645052 0.7864252 0.66909349]]\n",
|
|
"\n",
|
|
" [[0.48705585 0.35131992 0.78271089 0.67685181]]\n",
|
|
"\n",
|
|
" [[0.47422823 0.34823795 0.77441069 0.66015679]]\n",
|
|
"\n",
|
|
" [[0.47862742 0.35200647 0.79429899 0.67123198]]\n",
|
|
"\n",
|
|
" [[0.49093065 0.35369251 0.78906149 0.66056078]]\n",
|
|
"\n",
|
|
" [[0.47498044 0.34868712 0.77851855 0.66193982]]\n",
|
|
"\n",
|
|
" [[0.49025927 0.35847539 0.79038952 0.66582361]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(10, 1, 4)\n",
|
|
"YYYY ====== De-Trend Input ======= YYYY\n",
|
|
"[[[ 6.10887097e-05 -6.40625000e-05 1.51612903e-04 -8.99957661e-05]]\n",
|
|
"\n",
|
|
" [[-5.47580645e-04 -3.36451613e-05 -2.99596774e-04 -4.59237298e-04]]\n",
|
|
"\n",
|
|
" [[ 9.11895161e-04 6.27778226e-04 8.92540323e-04 4.48688508e-04]]\n",
|
|
"\n",
|
|
" [[ 9.17540323e-04 1.27477823e-04 8.74798387e-04 -3.73949597e-05]]\n",
|
|
"\n",
|
|
" [[ 5.44153226e-04 -8.99213710e-05 8.91129032e-05 -3.08313105e-04]]\n",
|
|
"\n",
|
|
" [[-4.28225806e-04 -5.01953629e-04 1.89314516e-04 -1.07692944e-04]]\n",
|
|
"\n",
|
|
" [[ 5.72580645e-04 1.97526210e-04 1.00806452e-06 -3.70792339e-05]]\n",
|
|
"\n",
|
|
" [[ 2.06935484e-03 1.19748589e-03 2.83850806e-03 7.91229839e-05]]\n",
|
|
"\n",
|
|
" [[ 1.01955645e-03 2.34875000e-04 7.81451613e-04 2.64816532e-05]]\n",
|
|
"\n",
|
|
" [[-7.59274194e-04 -4.11393145e-04 -1.89516129e-04 -5.55007863e-04]]]\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(10, 1, 4)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Validation Set - 06.20.2024\n",
|
|
"# ============================\n",
|
|
"# Reset Index\n",
|
|
"sample_valid = sample_valid.reset_index(drop = True)\n",
|
|
"sample_size = sample_valid.shape[0]\n",
|
|
"print ('sample_size: ', sample_size)\n",
|
|
"# sample_valid.head()\n",
|
|
"# sl = 8 # <--- sequence length\n",
|
|
"batch_valid = 10 # <--- batch size\n",
|
|
"# n_features = 8 # <---- no. of variables\n",
|
|
"# n_out = 1 # <----- no. of predicted variables\n",
|
|
"# frwd = 1 # <--- how many to predict\n",
|
|
"\n",
|
|
"# Trimming Indices !!!\n",
|
|
"# Marking selected rows\n",
|
|
"sample_valid['Selected'] = 0\n",
|
|
"\n",
|
|
"# =============================================\n",
|
|
"\n",
|
|
"# Selecting m random rows without replacement\n",
|
|
"np.random.seed(37)\n",
|
|
"selected_indices = np.random.choice(sample_valid.index, size = batch_valid, replace = False)\n",
|
|
"\n",
|
|
"print ('selected_indices: ', selected_indices)\n",
|
|
"print ('sequence length: ', sl)\n",
|
|
"\n",
|
|
"sample_valid.loc[selected_indices, 'Selected'] = 1 \n",
|
|
"\n",
|
|
"chosen_idx1 = sample_valid[sample_valid['Selected'] == 1].index\n",
|
|
"print ('chosen_idx1: ', chosen_idx1)\n",
|
|
"\n",
|
|
"chosen_idx2 = chosen_idx1[chosen_idx1 > sl]\n",
|
|
"print ('chosen_idx2: ', chosen_idx2)\n",
|
|
"\n",
|
|
"\n",
|
|
"thrown_idx1 = chosen_idx1[chosen_idx1 <= sl]\n",
|
|
"cnt_thrown_idx1 = len(thrown_idx1)\n",
|
|
"print ('thrown_idx1: ', thrown_idx1)\n",
|
|
"\n",
|
|
"chosen_idx3 = chosen_idx2[chosen_idx2 < (sample_size - frwd)]\n",
|
|
"print ('chosen_idx3: ', chosen_idx3)\n",
|
|
"\n",
|
|
"\n",
|
|
"thrown_idx2 = chosen_idx2[chosen_idx2 >= (sample_size - frwd)]\n",
|
|
"cnt_thrown_idx2 = len(thrown_idx2)\n",
|
|
"\n",
|
|
"cnt_thrown_idx = cnt_thrown_idx1 + cnt_thrown_idx2\n",
|
|
"print ('cnt_thrown_idx: ', cnt_thrown_idx)\n",
|
|
"\n",
|
|
"print (selected_indices)\n",
|
|
"\n",
|
|
"all_ts_close_xrp = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_eth = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_ltc = np.empty((1, )) # final input/output\n",
|
|
"all_ts_close_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"all_ts_volume_xrp = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_eth = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_ltc = np.empty((1, )) # final input/output\n",
|
|
"all_ts_volume_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"stdev_xrp = np.empty((1, )) # final input/output\n",
|
|
"stdev_eth = np.empty((1, )) # final input/output\n",
|
|
"stdev_ltc = np.empty((1, )) # final input/output\n",
|
|
"stdev_btc = np.empty((1, )) # final input/output\n",
|
|
"\n",
|
|
"aft_ts_close_xrp = np.empty((1))\n",
|
|
"aft_ts_close_eth = np.empty((1))\n",
|
|
"aft_ts_close_ltc = np.empty((1))\n",
|
|
"aft_ts_close_btc = np.empty((1))\n",
|
|
"\n",
|
|
"for idx in chosen_idx3:\n",
|
|
" selected_rows_before = sample_test.iloc[max(0, idx-sl): idx]\n",
|
|
" selected_rows_after = sample_test.iloc[max(0, idx): idx+frwd]\n",
|
|
"\n",
|
|
" # xrp\n",
|
|
" sr_before_close_xrp = np.array(selected_rows_before['close_xrp'])\n",
|
|
" sr_after_close_xrp = np.array(selected_rows_after['close_xrp']) \n",
|
|
" # print (sr_before_close_xrp)\n",
|
|
" sr_before_volume_xrp = np.array(selected_rows_before['volume_xrp'])\n",
|
|
" sr_after_volume_xrp = np.array(selected_rows_after['volume_xrp']) \n",
|
|
" # print (sr_before_volume_xrp) \n",
|
|
"# Compute standard deviation\n",
|
|
" std_dev_xrp = np.std(sr_before_close_xrp)\n",
|
|
" std_dev_xrp_arr = np.repeat(std_dev_xrp, sl)\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_xrp = np.average(sr_after_close_xrp, weights = sr_after_volume_xrp)\n",
|
|
" # print ('XRP w.average: ', weighted_avg_xrp)\n",
|
|
"\n",
|
|
"# eth\n",
|
|
" sr_before_close_eth = np.array(selected_rows_before['close_eth'])\n",
|
|
" sr_after_close_eth = np.array(selected_rows_after['close_eth'])\n",
|
|
" sr_before_volume_eth = np.array(selected_rows_before['volume_eth'])\n",
|
|
" sr_after_volume_eth = np.array(selected_rows_after['volume_eth'])\n",
|
|
"# Compute standard deviation\n",
|
|
" std_dev_eth = np.std(sr_before_close_eth)\n",
|
|
" std_dev_eth_arr = np.repeat(std_dev_eth, sl)\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_eth = np.average(sr_after_close_eth, weights = sr_after_volume_eth)\n",
|
|
" # print ('ETH w.average: ', weighted_avg_eth)\n",
|
|
" \n",
|
|
"# ltc\n",
|
|
" sr_before_close_ltc = np.array(selected_rows_before['close_ltc'])\n",
|
|
" sr_after_close_ltc = np.array(selected_rows_after['close_ltc'])\n",
|
|
" sr_before_volume_ltc = np.array(selected_rows_before['volume_ltc'])\n",
|
|
" sr_after_volume_ltc = np.array(selected_rows_after['volume_ltc'])\n",
|
|
"# Compute standard deviation\n",
|
|
" std_dev_ltc = np.std(sr_before_close_ltc)\n",
|
|
" std_dev_ltc_arr = np.repeat(std_dev_ltc, sl)\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_ltc = np.average(sr_after_close_ltc, weights = sr_after_volume_ltc)\n",
|
|
" # print ('LTC w.average: ', weighted_avg_ltc)\n",
|
|
"\n",
|
|
"# btc\n",
|
|
" sr_before_close_btc = np.array(selected_rows_before['close_btc'])\n",
|
|
" sr_after_close_btc = np.array(selected_rows_after['close_btc'])\n",
|
|
" sr_before_volume_btc = np.array(selected_rows_before['volume_btc'])\n",
|
|
" sr_after_volume_btc = np.array(selected_rows_after['volume_btc'])\n",
|
|
"# Compute standard deviation\n",
|
|
" std_dev_btc = np.std(sr_before_close_btc)\n",
|
|
" std_dev_btc_arr = np.repeat(std_dev_btc, sl)\n",
|
|
"# Compute the weighted average\n",
|
|
" weighted_avg_btc = np.average(sr_after_close_btc, weights = sr_after_volume_btc)\n",
|
|
" # print ('BTC w.average: ', weighted_avg_btc)\n",
|
|
"\n",
|
|
"# xrp\n",
|
|
" all_ts_close_xrp = np.concatenate((all_ts_close_xrp, sr_before_close_xrp))\n",
|
|
" all_ts_volume_xrp = np.concatenate((all_ts_volume_xrp, sr_before_volume_xrp))\n",
|
|
" stdev_xrp = np.concatenate((stdev_xrp, std_dev_xrp_arr))\n",
|
|
"# eth\n",
|
|
" all_ts_close_eth = np.concatenate((all_ts_close_eth, sr_before_close_eth))\n",
|
|
" all_ts_volume_eth = np.concatenate((all_ts_volume_eth, sr_before_volume_eth))\n",
|
|
" stdev_eth = np.concatenate((stdev_eth, std_dev_eth_arr))\n",
|
|
"# ltc\n",
|
|
" stdev_ltc = np.concatenate((stdev_ltc, std_dev_ltc_arr))\n",
|
|
" all_ts_close_ltc = np.concatenate((all_ts_close_ltc, sr_before_close_ltc))\n",
|
|
" all_ts_volume_ltc = np.concatenate((all_ts_volume_ltc, sr_before_volume_ltc))\n",
|
|
"# btc\n",
|
|
" all_ts_close_btc = np.concatenate((all_ts_close_btc, sr_before_close_btc))\n",
|
|
" all_ts_volume_btc = np.concatenate((all_ts_volume_btc, sr_before_volume_btc))\n",
|
|
" stdev_btc = np.concatenate((stdev_btc, std_dev_btc_arr))\n",
|
|
"\n",
|
|
" aft_ts_close_xrp = np.concatenate((aft_ts_close_xrp, sr_after_close_xrp))\n",
|
|
" aft_ts_close_eth = np.concatenate((aft_ts_close_eth, sr_after_close_eth))\n",
|
|
" aft_ts_close_ltc = np.concatenate((aft_ts_close_ltc, sr_after_close_ltc))\n",
|
|
" aft_ts_close_btc = np.concatenate((aft_ts_close_btc, sr_after_close_btc))\n",
|
|
"\n",
|
|
"X_XRP_close = all_ts_close_xrp[1:]\n",
|
|
"X_XRP_volume = all_ts_volume_xrp[1:]\n",
|
|
"X_XRP_stdev = stdev_xrp[1:]\n",
|
|
"\n",
|
|
"X_ETH_close = all_ts_close_eth[1:]\n",
|
|
"X_ETH_volume = all_ts_volume_eth[1:]\n",
|
|
"X_ETH_stdev = stdev_eth[1:]\n",
|
|
"\n",
|
|
"X_LTC_close = all_ts_close_ltc[1:]\n",
|
|
"X_LTC_volume = all_ts_volume_ltc[1:]\n",
|
|
"X_LTC_stdev = stdev_ltc[1:]\n",
|
|
"\n",
|
|
"X_BTC_close = all_ts_close_btc[1:]\n",
|
|
"X_BTC_volume = all_ts_volume_btc[1:]\n",
|
|
"X_BTC_stdev = stdev_btc[1:]\n",
|
|
"\n",
|
|
"# X0 = np.column_stack((X_XRP_close, X_XRP_volume, \n",
|
|
"# X_ETH_close, X_ETH_volume, \n",
|
|
"# X_LTC_close, X_LTC_volume, \n",
|
|
"# X_BTC_close, X_BTC_volume))\n",
|
|
"\n",
|
|
"X0 = np.column_stack((X_XRP_close,\n",
|
|
" X_ETH_close,\n",
|
|
" X_LTC_close,\n",
|
|
" X_BTC_close))\n",
|
|
"# print (X0)\n",
|
|
"\n",
|
|
"# ======== Model Input =========\n",
|
|
"X_valid = X0.reshape(batch_valid-cnt_thrown_idx, sl, n_features)\n",
|
|
"\n",
|
|
"y_XRP = aft_ts_close_xrp[1:]\n",
|
|
"y_ETH = aft_ts_close_eth[1:]\n",
|
|
"y_LTC = aft_ts_close_ltc[1:]\n",
|
|
"y_BTC = aft_ts_close_btc[1:]\n",
|
|
"\n",
|
|
"y_valid = np.column_stack((y_XRP, y_ETH, y_LTC, y_BTC))\n",
|
|
"# print (y_valid)\n",
|
|
"\n",
|
|
"y_valid = y_valid.reshape(batch_valid-cnt_thrown_idx, frwd, n_out)\n",
|
|
"# print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"print (y_valid.shape)\n",
|
|
"\n",
|
|
"# def detrend_series(series):\n",
|
|
"# trend = np.polyfit(np.arange(len(series)), series.values, 1)\n",
|
|
"# trend_line = np.polyval(trend, np.arange(len(series)))\n",
|
|
"# detrended_series = series - trend_line\n",
|
|
"# return detrended_series\n",
|
|
"\n",
|
|
"crypto_list = ['XRP', 'ETH', 'LTC', 'BTC']\n",
|
|
"X_valid_trend = np.zeros((batch_valid-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print (X_trend)\n",
|
|
"X_valid_detrend = np.zeros((batch_valid-cnt_thrown_idx, sl, n_features))\n",
|
|
"# print (X_detrend)\n",
|
|
"y_valid_trend = np.zeros((batch_valid-cnt_thrown_idx, frwd, n_out))\n",
|
|
"# print (y_trend)\n",
|
|
"for j in range(batch_valid-cnt_thrown_idx):\n",
|
|
" df_trend = pd.DataFrame(X_valid[j], columns = crypto_list)\n",
|
|
" # print (df_trend)\n",
|
|
" print (j)\n",
|
|
"# XRP\n",
|
|
" coef_xrp = np.polyfit(np.arange(len(df_trend)), df_trend['XRP'], 1)\n",
|
|
" # print (\"coef_xrp: \", coef_xrp) # coef_xrp: [-0.00074848 0.48839818]\n",
|
|
" trend_line_xrp = np.polyval(coef_xrp, np.arange(len(df_trend)))\n",
|
|
" detrended_series_xrp = df_trend['XRP'] - trend_line_xrp\n",
|
|
" detrend_xrp = detrended_series_xrp.to_numpy() \n",
|
|
"\n",
|
|
" y_xrp_trend = coef_xrp[0]*(len(df_trend)) + coef_xrp[1]\n",
|
|
" \n",
|
|
"# ETH\n",
|
|
" coef_eth = np.polyfit(np.arange(len(df_trend)), df_trend['ETH'], 1)\n",
|
|
" # print (\"coef_eth: \", coef_eth)\n",
|
|
" trend_line_eth = np.polyval(coef_eth, np.arange(len(df_trend)))\n",
|
|
" detrended_series_eth = df_trend['ETH'] - trend_line_eth\n",
|
|
" detrend_eth = detrended_series_eth.to_numpy()\n",
|
|
"\n",
|
|
" y_eth_trend = coef_eth[0]*(len(df_trend)) + coef_eth[1]\n",
|
|
" \n",
|
|
"# LTC \n",
|
|
" coef_ltc = np.polyfit(np.arange(len(df_trend)), df_trend['LTC'], 1)\n",
|
|
" # print (\"coef_ltc: \", coef_ltc)\n",
|
|
" trend_line_ltc = np.polyval(coef_ltc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_ltc = df_trend['LTC'] - trend_line_ltc\n",
|
|
" detrend_ltc = detrended_series_ltc.to_numpy()\n",
|
|
" \n",
|
|
" y_ltc_trend = coef_ltc[0]*(len(df_trend)) + coef_ltc[1]\n",
|
|
"\n",
|
|
"# BTC \n",
|
|
" coef_btc = np.polyfit(np.arange(len(df_trend)), df_trend['BTC'], 1)\n",
|
|
" # print (\"coef_btc: \", coef_btc)\n",
|
|
" trend_line_btc = np.polyval(coef_btc, np.arange(len(df_trend)))\n",
|
|
" detrended_series_btc = df_trend['BTC'] - trend_line_btc\n",
|
|
" detrend_btc = detrended_series_btc.to_numpy()\n",
|
|
"\n",
|
|
"\n",
|
|
" # print ('df_trend: ', df_trend)\n",
|
|
" # print ('trend_line_btc: ', trend_line_btc)\n",
|
|
" # print ('detrended_series_btc: ', detrended_series_btc)\n",
|
|
" # print ('detrend_btc: ', detrend_btc)\n",
|
|
" \n",
|
|
" y_btc_trend = coef_btc[0]*(len(df_trend)) + coef_btc[1]\n",
|
|
"\n",
|
|
" # print (X[j])\n",
|
|
" # print (type(X[j]))\n",
|
|
" # print (X[j].shape)\n",
|
|
" # print ('==================================================')\n",
|
|
" \n",
|
|
" # Create a dictionary with the data\n",
|
|
" trend_dict = {'XRP' : trend_line_xrp, \n",
|
|
" 'ETH' : trend_line_eth, \n",
|
|
" 'LTC' : trend_line_ltc, \n",
|
|
" 'BTC' : trend_line_btc\n",
|
|
" }\n",
|
|
" df = pd.DataFrame(trend_dict)\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in trend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
" \n",
|
|
" X0_valid_trend = df.to_numpy()\n",
|
|
" # print (X0_trend)\n",
|
|
" # print (type(X0_trend))\n",
|
|
" # print (X0_trend.shape)\n",
|
|
"\n",
|
|
" X_valid_trend[j] += X0_valid_trend \n",
|
|
"\n",
|
|
" detrend_dict = {'XRP' : detrend_xrp, \n",
|
|
" 'ETH' : detrend_eth, \n",
|
|
" 'LTC' : detrend_ltc, \n",
|
|
" 'BTC' : detrend_btc\n",
|
|
" }\n",
|
|
" # print ('detrend_dict')\n",
|
|
" # print (detrend_dict)\n",
|
|
" \n",
|
|
" df = pd.DataFrame(detrend_dict)\n",
|
|
"\n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for col, values in detrend_dict.items():\n",
|
|
" df[col] = values\n",
|
|
"\n",
|
|
" X0_valid_detrend = df.to_numpy()\n",
|
|
" # print (X0_detrend)\n",
|
|
" # print (type(X0_detrend))\n",
|
|
" # print (X0_detrend.shape)\n",
|
|
"\n",
|
|
" X_valid_detrend[j] += X0_valid_detrend \n",
|
|
" \n",
|
|
" # print ('================ originalseries ==================') \n",
|
|
" # print (X)\n",
|
|
" # print (type(X))\n",
|
|
" # print (X_trend.shape)\n",
|
|
" \n",
|
|
" # print ('================== trend lines ===================') \n",
|
|
" # print (X_trend)\n",
|
|
" # print (type(X_trend))\n",
|
|
" # print (X_trend.shape)\n",
|
|
" \n",
|
|
" # print ('================== fluctuations ===================') \n",
|
|
" # print (X_detrend)\n",
|
|
" # print (type(X_detrend))\n",
|
|
" # print (X_detrend.shape)\n",
|
|
"\n",
|
|
" # print ('y_xrp_trend: ', y_xrp_trend)\n",
|
|
" # print ('y_eth_trend: ', y_eth_trend)\n",
|
|
" # print ('y_ltc_trend: ', y_ltc_trend)\n",
|
|
" # print ('y_btc_trend: ', y_btc_trend)\n",
|
|
"\n",
|
|
" # print (type(y_xpr_trend))\n",
|
|
" # print (y_xpr_trend.shape)\n",
|
|
"\n",
|
|
" # Create a dictionary with the data\n",
|
|
" y_trend_dict = {'XRP' : np.array([y_xrp_trend]), \n",
|
|
" 'ETH' : np.array([y_eth_trend]), \n",
|
|
" 'LTC' : np.array([y_ltc_trend]), \n",
|
|
" 'BTC' : np.array([y_btc_trend])\n",
|
|
" }\n",
|
|
" # print (y_trend_dict)\n",
|
|
"\n",
|
|
" df1 = pd.DataFrame(y_trend_dict)\n",
|
|
" \n",
|
|
" # Fill the DataFrame column by column\n",
|
|
" for key, value in y_trend_dict.items():\n",
|
|
" # print(f\"{key}: {value}\")\n",
|
|
" df1[key] = value\n",
|
|
"\n",
|
|
" y_valid_tr = df1.to_numpy()\n",
|
|
" y_valid_trend[j] += y_valid_tr\n",
|
|
"\n",
|
|
"print ('================ original series =================') \n",
|
|
"print (X_valid)\n",
|
|
"print (type(X_valid))\n",
|
|
"print (X_valid.shape)\n",
|
|
"\n",
|
|
"print ('================== trend lines ===================') \n",
|
|
"print (X_valid_trend)\n",
|
|
"print (type(X_valid_trend))\n",
|
|
"print (X_valid_trend.shape)\n",
|
|
"\n",
|
|
"print ('================== fluctuations ===================') \n",
|
|
"print (X_valid_detrend)\n",
|
|
"print (type(X_valid_detrend))\n",
|
|
"print (X_valid_detrend.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== Actual Input ====== YYYY')\n",
|
|
"print (y_valid)\n",
|
|
"print (y_valid.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== Trend Input ======= YYYY')\n",
|
|
"print (y_valid_trend)\n",
|
|
"print (type(y_valid_trend))\n",
|
|
"print (y_valid_trend.shape)\n",
|
|
"\n",
|
|
"print ('YYYY ====== De-Trend Input ======= YYYY')\n",
|
|
"y_valid_detrend = y_valid - y_valid_trend\n",
|
|
"print (y_valid_detrend)\n",
|
|
"print (type(y_valid_detrend))\n",
|
|
"print (y_valid_detrend.shape)\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b5529d01-a898-4c73-960c-ca8741be17de",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 117,
|
|
"id": "263e1cab-3b94-49e2-a278-fa0336867310",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"y_valid_detrend\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"[[[ 1.18080037e-03 4.29102475e-04 1.64862364e-04 6.87089637e-05]\n",
|
|
" [ 1.39135695e-03 5.60098776e-04 5.78745006e-04 3.79555430e-04]\n",
|
|
" [ 1.50191353e-03 5.99095076e-04 4.92627648e-04 3.48601897e-04]\n",
|
|
" [ 3.12470107e-04 8.81091377e-04 1.60651029e-03 3.07348363e-04]\n",
|
|
" [ 2.23026685e-04 9.72087678e-04 1.32039293e-03 5.59794830e-04]\n",
|
|
" [ 1.13358326e-03 1.55108398e-03 2.93427557e-03 1.99434130e-03]\n",
|
|
" [ 1.84413984e-03 1.61708028e-03 3.34815822e-03 1.97678776e-03]\n",
|
|
" [ 1.65469642e-03 1.67107658e-03 3.06204086e-03 1.96203423e-03]\n",
|
|
" [ 2.26525300e-03 1.68907288e-03 3.67592350e-03 2.16898070e-03]\n",
|
|
" [ 2.57580958e-03 1.72106918e-03 3.28980614e-03 2.38972716e-03]]\n",
|
|
"\n",
|
|
" [[ 4.07830211e-04 -3.05547999e-04 8.04233171e-04 5.40261716e-04]\n",
|
|
" [ 1.14247799e-04 -6.22256741e-04 6.80954381e-04 -7.69091145e-05]\n",
|
|
" [-3.79334613e-04 -6.42965483e-04 -2.24232441e-03 -1.96407995e-03]\n",
|
|
" [-3.72917025e-04 -6.26674225e-04 2.34396800e-04 -2.77350776e-04]\n",
|
|
" [-5.66499437e-04 -4.75382966e-04 2.11118010e-04 -3.02160711e-06]\n",
|
|
" [-2.60081849e-04 -5.62091708e-04 -1.21607802e-05 -5.17392438e-04]\n",
|
|
" [-2.53664261e-04 -7.71800450e-04 -2.35439570e-04 -8.55763269e-04]\n",
|
|
" [-2.47246673e-04 -6.51509192e-04 4.12816392e-05 -6.12334100e-04]\n",
|
|
" [-3.40829085e-04 -6.00217934e-04 1.18002849e-04 -6.50604931e-04]\n",
|
|
" [-2.34411497e-04 -7.68926676e-04 9.47240586e-05 -9.84675761e-04]]]\n",
|
|
"\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 760ms/step\n",
|
|
"y_hat_detrend\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"[[[-5.66534400e-05 2.54331564e-04 -3.43747903e-04 6.91149617e-04]\n",
|
|
" [-5.96907121e-05 2.68033851e-04 -3.22152016e-04 8.22564121e-04]\n",
|
|
" [-6.47477864e-05 2.81944696e-04 -2.97355844e-04 9.20827501e-04]\n",
|
|
" [-7.11436151e-05 2.94631114e-04 -2.72356148e-04 9.93905938e-04]\n",
|
|
" [-7.82460120e-05 3.05450463e-04 -2.48852710e-04 1.04774442e-03]\n",
|
|
" [-8.55395774e-05 3.14234814e-04 -2.27711280e-04 1.08687277e-03]\n",
|
|
" [-9.26403300e-05 3.21081519e-04 -2.09272548e-04 1.11479172e-03]\n",
|
|
" [-9.92852729e-05 3.26219219e-04 -1.93558008e-04 1.13422808e-03]\n",
|
|
" [-1.05312909e-04 3.29925213e-04 -1.80405972e-04 1.14731095e-03]\n",
|
|
" [-1.10641333e-04 3.32478783e-04 -1.69560051e-04 1.15569867e-03]]\n",
|
|
"\n",
|
|
" [[-7.45097932e-05 2.19537033e-04 -3.94735340e-04 6.54664007e-04]\n",
|
|
" [-9.24798660e-05 2.06116820e-04 -4.13854461e-04 7.58820970e-04]\n",
|
|
" [-1.09745735e-04 1.98945374e-04 -4.21420293e-04 8.36614287e-04]\n",
|
|
" [-1.25961582e-04 1.95300119e-04 -4.22020676e-04 8.94256518e-04]\n",
|
|
" [-1.40866352e-04 1.93513784e-04 -4.18670592e-04 9.36419645e-04]\n",
|
|
" [-1.54301335e-04 1.92604042e-04 -4.13318048e-04 9.66700842e-04]\n",
|
|
" [-1.66201280e-04 1.92022446e-04 -4.07189276e-04 9.87910200e-04]\n",
|
|
" [-1.76576097e-04 1.91487226e-04 -4.01026278e-04 1.00225862e-03]\n",
|
|
" [-1.85490964e-04 1.90875144e-04 -3.95250099e-04 1.01148663e-03]\n",
|
|
" [-1.93048938e-04 1.90152030e-04 -3.90073023e-04 1.01695792e-03]]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"y_valid_detrend = y_valid_detrend.reshape(batch_valid-cnt_thrown_idx, frwd, n_out)\n",
|
|
"print ('y_valid_detrend')\n",
|
|
"print (type(y_valid_detrend))\n",
|
|
"print (y_valid_detrend.shape)\n",
|
|
"print (y_valid_detrend)\n",
|
|
"# print (y_valid[0:10])\n",
|
|
"\n",
|
|
"y_hat_detrend = model_8f.predict(X_valid_detrend, verbose = 1)\n",
|
|
"print ('y_hat_detrend')\n",
|
|
"print (type(y_hat_detrend))\n",
|
|
"print (y_hat_detrend.shape)\n",
|
|
"print (y_hat_detrend)\n",
|
|
"# y_hat_detrend.reshape(batch_valid-cnt_thrown_idx, frwd)\n",
|
|
"# print (sl)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "93784fe7-754c-42f7-b03f-2b1ed5f22e32",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 118,
|
|
"id": "a0002571-14aa-4f19-8fe3-70b384921398",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"y_valid_detrend\n",
|
|
"[[1.18080037e-03 4.29102475e-04 1.64862364e-04 6.87089637e-05]\n",
|
|
" [1.39135695e-03 5.60098776e-04 5.78745006e-04 3.79555430e-04]\n",
|
|
" [1.50191353e-03 5.99095076e-04 4.92627648e-04 3.48601897e-04]\n",
|
|
" [3.12470107e-04 8.81091377e-04 1.60651029e-03 3.07348363e-04]\n",
|
|
" [2.23026685e-04 9.72087678e-04 1.32039293e-03 5.59794830e-04]\n",
|
|
" [1.13358326e-03 1.55108398e-03 2.93427557e-03 1.99434130e-03]\n",
|
|
" [1.84413984e-03 1.61708028e-03 3.34815822e-03 1.97678776e-03]\n",
|
|
" [1.65469642e-03 1.67107658e-03 3.06204086e-03 1.96203423e-03]\n",
|
|
" [2.26525300e-03 1.68907288e-03 3.67592350e-03 2.16898070e-03]\n",
|
|
" [2.57580958e-03 1.72106918e-03 3.28980614e-03 2.38972716e-03]]\n",
|
|
"\n",
|
|
"y_hat_detrend\n",
|
|
"[[-5.6653440e-05 2.5433156e-04 -3.4374790e-04 6.9114962e-04]\n",
|
|
" [-5.9690712e-05 2.6803385e-04 -3.2215202e-04 8.2256412e-04]\n",
|
|
" [-6.4747786e-05 2.8194470e-04 -2.9735584e-04 9.2082750e-04]\n",
|
|
" [-7.1143615e-05 2.9463111e-04 -2.7235615e-04 9.9390594e-04]\n",
|
|
" [-7.8246012e-05 3.0545046e-04 -2.4885271e-04 1.0477444e-03]\n",
|
|
" [-8.5539577e-05 3.1423481e-04 -2.2771128e-04 1.0868728e-03]\n",
|
|
" [-9.2640330e-05 3.2108152e-04 -2.0927255e-04 1.1147917e-03]\n",
|
|
" [-9.9285273e-05 3.2621922e-04 -1.9355801e-04 1.1342281e-03]\n",
|
|
" [-1.0531291e-04 3.2992521e-04 -1.8040597e-04 1.1473109e-03]\n",
|
|
" [-1.1064133e-04 3.3247878e-04 -1.6956005e-04 1.1556987e-03]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print ('y_valid_detrend')\n",
|
|
"print (y_valid_detrend[0])\n",
|
|
"print ('')\n",
|
|
"print ('y_hat_detrend')\n",
|
|
"print (y_hat_detrend[0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "0035be85-b652-4bc2-97cc-a031db0d9dae",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "28f5f925-4920-4218-b9d8-7257616e3976",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"''' help with pictures - only BTC 07.23.2024 '''"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 122,
|
|
"id": "152cb805-4836-4c56-be77-213e28afd7c5",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
|
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},
|
|
"metadata": {},
|
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"for i in range(batch_valid-cnt_thrown_idx):\n",
|
|
" actual = pd.concat([pd.DataFrame(X_valid_trend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_valid_trend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(actual)\n",
|
|
" forecast = pd.concat([pd.DataFrame(X_valid_trend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_valid_trend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(forecast)\n",
|
|
"\n",
|
|
"# =================== BTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['BTC'], label = 'actual BTC', marker = 'o', color = 'violet')\n",
|
|
" ax.plot(forecast.index, forecast['BTC'], label = 'forecast BTC', marker = 'x', color = 'yellow')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('BTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 123,
|
|
"id": "4b33b331-4615-406d-8d1a-6cbb0a1dc7d8",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" XRP ETH LTC BTC\n",
|
|
"0 -0.000313 -0.000489 0.002632 -0.000033\n",
|
|
"1 -0.000002 0.000266 0.001046 0.000648\n",
|
|
"2 -0.000192 -0.000071 0.000260 0.000109\n",
|
|
"3 0.000019 0.000007 0.000574 0.000271\n",
|
|
"4 0.000030 0.000195 0.000788 0.000629\n",
|
|
".. ... ... ... ...\n",
|
|
"137 0.001134 0.001551 0.002934 0.001994\n",
|
|
"138 0.001844 0.001617 0.003348 0.001977\n",
|
|
"139 0.001655 0.001671 0.003062 0.001962\n",
|
|
"140 0.002265 0.001689 0.003676 0.002169\n",
|
|
"141 0.002576 0.001721 0.003290 0.002390\n",
|
|
"\n",
|
|
"[142 rows x 4 columns]\n",
|
|
" XRP ETH LTC BTC\n",
|
|
"0 -0.000313 -0.000489 0.002632 -0.000033\n",
|
|
"1 -0.000002 0.000266 0.001046 0.000648\n",
|
|
"2 -0.000192 -0.000071 0.000260 0.000109\n",
|
|
"3 0.000019 0.000007 0.000574 0.000271\n",
|
|
"4 0.000030 0.000195 0.000788 0.000629\n",
|
|
".. ... ... ... ...\n",
|
|
"137 -0.000086 0.000314 -0.000228 0.001087\n",
|
|
"138 -0.000093 0.000321 -0.000209 0.001115\n",
|
|
"139 -0.000099 0.000326 -0.000194 0.001134\n",
|
|
"140 -0.000105 0.000330 -0.000180 0.001147\n",
|
|
"141 -0.000111 0.000332 -0.000170 0.001156\n",
|
|
"\n",
|
|
"[142 rows x 4 columns]\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" XRP ETH LTC BTC\n",
|
|
"0 -0.000539 -0.000311 -0.001023 0.000514\n",
|
|
"1 -0.000233 -0.000194 0.000054 0.000653\n",
|
|
"2 -0.000326 -0.000242 -0.000170 0.000745\n",
|
|
"3 -0.000020 -0.000359 -0.001093 -0.000475\n",
|
|
"4 -0.000414 -0.000310 -0.000416 0.000526\n",
|
|
".. ... ... ... ...\n",
|
|
"137 -0.000260 -0.000562 -0.000012 -0.000517\n",
|
|
"138 -0.000254 -0.000772 -0.000235 -0.000856\n",
|
|
"139 -0.000247 -0.000652 0.000041 -0.000612\n",
|
|
"140 -0.000341 -0.000600 0.000118 -0.000651\n",
|
|
"141 -0.000234 -0.000769 0.000095 -0.000985\n",
|
|
"\n",
|
|
"[142 rows x 4 columns]\n",
|
|
" XRP ETH LTC BTC\n",
|
|
"0 -0.000539 -0.000311 -0.001023 0.000514\n",
|
|
"1 -0.000233 -0.000194 0.000054 0.000653\n",
|
|
"2 -0.000326 -0.000242 -0.000170 0.000745\n",
|
|
"3 -0.000020 -0.000359 -0.001093 -0.000475\n",
|
|
"4 -0.000414 -0.000310 -0.000416 0.000526\n",
|
|
".. ... ... ... ...\n",
|
|
"137 -0.000154 0.000193 -0.000413 0.000967\n",
|
|
"138 -0.000166 0.000192 -0.000407 0.000988\n",
|
|
"139 -0.000177 0.000191 -0.000401 0.001002\n",
|
|
"140 -0.000185 0.000191 -0.000395 0.001011\n",
|
|
"141 -0.000193 0.000190 -0.000390 0.001017\n",
|
|
"\n",
|
|
"[142 rows x 4 columns]\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"for i in range(batch_valid-cnt_thrown_idx):\n",
|
|
" actual = pd.concat([pd.DataFrame(X_valid_detrend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_valid_detrend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" print(actual)\n",
|
|
" forecast = pd.concat([pd.DataFrame(X_valid_detrend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_hat_detrend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" print(forecast)\n",
|
|
"\n",
|
|
"# =================== BTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['BTC'], label = 'actual BTC', marker = 'o', color = 'violet')\n",
|
|
" ax.plot(forecast.index, forecast['BTC'], label = 'forecast BTC', marker = 'x', color = 'yellow')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('BTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "5e7ba70f-ebe2-4c92-be6f-9ec44481b267",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "76484227-8c9b-4118-8eb6-df35b39463ce",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b2ace561-a548-436e-8b7c-3fd4d8032e82",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 124,
|
|
"id": "7ece23e6-d5dc-4795-9bed-c579d560efa2",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"0\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
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"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"1\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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",
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
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}
|
|
],
|
|
"source": [
|
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"for i in range(batch_valid-cnt_thrown_idx):\n",
|
|
" actual = pd.concat([pd.DataFrame(X_valid_detrend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_valid_detrend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(actual)\n",
|
|
" forecast = pd.concat([pd.DataFrame(X_valid_detrend[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_hat_detrend[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(forecast)\n",
|
|
" print (i)\n",
|
|
"# =================== XPR ======================== \n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['XRP'], label = 'actual XRP', marker = 'o', color = 'black')\n",
|
|
" ax.plot(forecast.index, forecast['XRP'], label = 'forecast XRP', marker = 'x', color = 'orange')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('XRP Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== ETH ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['ETH'], label = 'actual ETH', marker = 'o', color = 'blue')\n",
|
|
" ax.plot(forecast.index, forecast['ETH'], label = 'forecast ETH', marker = 'x', color = 'red')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('ETH Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== LTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['LTC'], label = 'actual LTC', marker = 'o', color = 'green')\n",
|
|
" ax.plot(forecast.index, forecast['LTC'], label = 'forecast LTC', marker = 'x', color = 'purple')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('LTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== BTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['BTC'], label = 'actual BTC', marker = 'o', color = 'violet')\n",
|
|
" ax.plot(forecast.index, forecast['BTC'], label = 'forecast BTC', marker = 'x', color = 'yellow')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('BTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "070a40ef-19e3-4fd2-96d2-02b2f539dd6d",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "117c9058-fad0-4ebc-87f7-c343fca58341",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 07.16.2024\n",
|
|
"# add trend back"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 125,
|
|
"id": "075b9b34-a9d4-40d9-ab68-68b7128f08f0",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"y_valid_trend\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"[[[0.4794192 0.3455809 0.74353514 0.62699079]\n",
|
|
" [0.47940864 0.3455719 0.74352125 0.62698854]\n",
|
|
" [0.47939809 0.3455629 0.74350737 0.6269863 ]\n",
|
|
" [0.47938753 0.34555391 0.74349349 0.62698405]\n",
|
|
" [0.47937697 0.34554491 0.74347961 0.62698181]\n",
|
|
" [0.47936642 0.34553592 0.74346572 0.62697956]\n",
|
|
" [0.47935586 0.34552692 0.74345184 0.62697731]\n",
|
|
" [0.4793453 0.34551792 0.74343796 0.62697507]\n",
|
|
" [0.47933475 0.34550893 0.74342408 0.62697282]\n",
|
|
" [0.47932419 0.34549993 0.74341019 0.62697057]]\n",
|
|
"\n",
|
|
" [[0.47889217 0.34695255 0.74729577 0.63131794]\n",
|
|
" [0.47888575 0.34696026 0.74731905 0.63135361]\n",
|
|
" [0.47887933 0.34696797 0.74734232 0.63138928]\n",
|
|
" [0.47887292 0.34697567 0.7473656 0.63142495]\n",
|
|
" [0.4788665 0.34698338 0.74738888 0.63146062]\n",
|
|
" [0.47886008 0.34699109 0.74741216 0.63149629]\n",
|
|
" [0.47885366 0.3469988 0.74743544 0.63153196]\n",
|
|
" [0.47884725 0.34700651 0.74745872 0.63156763]\n",
|
|
" [0.47884083 0.34701422 0.747482 0.6316033 ]\n",
|
|
" [0.47883441 0.34702193 0.74750528 0.63163898]]]\n",
|
|
"y_hat_detrend\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"[[[-5.66534400e-05 2.54331564e-04 -3.43747903e-04 6.91149617e-04]\n",
|
|
" [-5.96907121e-05 2.68033851e-04 -3.22152016e-04 8.22564121e-04]\n",
|
|
" [-6.47477864e-05 2.81944696e-04 -2.97355844e-04 9.20827501e-04]\n",
|
|
" [-7.11436151e-05 2.94631114e-04 -2.72356148e-04 9.93905938e-04]\n",
|
|
" [-7.82460120e-05 3.05450463e-04 -2.48852710e-04 1.04774442e-03]\n",
|
|
" [-8.55395774e-05 3.14234814e-04 -2.27711280e-04 1.08687277e-03]\n",
|
|
" [-9.26403300e-05 3.21081519e-04 -2.09272548e-04 1.11479172e-03]\n",
|
|
" [-9.92852729e-05 3.26219219e-04 -1.93558008e-04 1.13422808e-03]\n",
|
|
" [-1.05312909e-04 3.29925213e-04 -1.80405972e-04 1.14731095e-03]\n",
|
|
" [-1.10641333e-04 3.32478783e-04 -1.69560051e-04 1.15569867e-03]]\n",
|
|
"\n",
|
|
" [[-7.45097932e-05 2.19537033e-04 -3.94735340e-04 6.54664007e-04]\n",
|
|
" [-9.24798660e-05 2.06116820e-04 -4.13854461e-04 7.58820970e-04]\n",
|
|
" [-1.09745735e-04 1.98945374e-04 -4.21420293e-04 8.36614287e-04]\n",
|
|
" [-1.25961582e-04 1.95300119e-04 -4.22020676e-04 8.94256518e-04]\n",
|
|
" [-1.40866352e-04 1.93513784e-04 -4.18670592e-04 9.36419645e-04]\n",
|
|
" [-1.54301335e-04 1.92604042e-04 -4.13318048e-04 9.66700842e-04]\n",
|
|
" [-1.66201280e-04 1.92022446e-04 -4.07189276e-04 9.87910200e-04]\n",
|
|
" [-1.76576097e-04 1.91487226e-04 -4.01026278e-04 1.00225862e-03]\n",
|
|
" [-1.85490964e-04 1.90875144e-04 -3.95250099e-04 1.01148663e-03]\n",
|
|
" [-1.93048938e-04 1.90152030e-04 -3.90073023e-04 1.01695792e-03]]]\n",
|
|
"y_hat\n",
|
|
"<class 'numpy.ndarray'>\n",
|
|
"(2, 10, 4)\n",
|
|
"[[[0.47936255 0.34583523 0.74319139 0.62768194]\n",
|
|
" [0.47934895 0.34583994 0.7431991 0.62781111]\n",
|
|
" [0.47933334 0.34584485 0.74321002 0.62790713]\n",
|
|
" [0.47931639 0.34584854 0.74322113 0.62797796]\n",
|
|
" [0.47929873 0.34585036 0.74323075 0.62802955]\n",
|
|
" [0.47928088 0.34585015 0.74323801 0.62806643]\n",
|
|
" [0.47926322 0.345848 0.74324257 0.6280921 ]\n",
|
|
" [0.47924602 0.34584414 0.7432444 0.62810929]\n",
|
|
" [0.47922943 0.34583885 0.74324367 0.62812013]\n",
|
|
" [0.47921355 0.34583241 0.74324063 0.62812627]]\n",
|
|
"\n",
|
|
" [[0.47881766 0.34717209 0.74690103 0.6319726 ]\n",
|
|
" [0.47879327 0.34716637 0.74690519 0.63211243]\n",
|
|
" [0.47876959 0.34716691 0.7469209 0.63222589]\n",
|
|
" [0.47874696 0.34717097 0.74694358 0.63231921]\n",
|
|
" [0.47872563 0.3471769 0.74697021 0.63239704]\n",
|
|
" [0.47870578 0.3471837 0.74699884 0.63246299]\n",
|
|
" [0.47868746 0.34719082 0.74702825 0.63251987]\n",
|
|
" [0.47867067 0.347198 0.74705769 0.63256989]\n",
|
|
" [0.47865534 0.34720509 0.74708675 0.63261479]\n",
|
|
" [0.47864136 0.34721208 0.7471152 0.63265593]]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"y_valid_trend = y_valid_trend.reshape(batch_valid-cnt_thrown_idx, frwd, n_out)\n",
|
|
"print ('y_valid_trend')\n",
|
|
"print (type(y_valid_trend))\n",
|
|
"print (y_valid_trend.shape)\n",
|
|
"print (y_valid_trend)\n",
|
|
"\n",
|
|
"print ('y_hat_detrend')\n",
|
|
"print (type(y_hat_detrend))\n",
|
|
"print (y_hat_detrend.shape)\n",
|
|
"print (y_hat_detrend)\n",
|
|
"\n",
|
|
"y_hat = y_valid_trend + y_hat_detrend\n",
|
|
"print ('y_hat')\n",
|
|
"print (type(y_hat))\n",
|
|
"print (y_hat.shape)\n",
|
|
"print (y_hat)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 126,
|
|
"id": "47cabf49-63b4-41b6-a9a1-b83b9a703137",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
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},
|
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{
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"data": {
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"image/png": 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",
|
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"text/plain": [
|
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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sUWo0Gs1WhbYgDWOkI0kuT5J4L0FyeXLYWxTmzJnDnnvuWZRjP/vsswgh/L9IJMKUKVO49dZb/XUyX8/1N2fOHADefvttvv3tbzN69GjC4TA77LADp59+Oh9//PGgjD3VDNaaKwhZ12YtD1nXYq25gtSmQTmsRqPRaHpBW5CGKcmPkkSfiCLb0qJIlAtKjiohuEuwiCMb3ixZsoSKigqi0SgPPfQQZ555Jttttx1f/epXWbNmjb/evffey+zZs1myZIm/rKysjIcffphvfetbHHXUUdx5551st912rF+/nr/97W9cdtll3HvvvQM7YAmdH30fM9lIpGYuALHmGYSrbiJSM5do4yziG86n8mCJMHTMkkaj0QwV2oI0DJGfSDr/3pkljgBkm6Tj/g4SHyYG5biPPfYYX/nKV6iqqqK2tpbjjjuOZcuWZa3zxRdfcMopp1BTU0NpaSl77703r776KgsWLOCKK67g3Xff9S0yCxYsYPny5QgheOedd/x9NDc3I4Tg2WefBVRZhB/96EdMnjyZ0tJS9tlnH2688cZ+nUN9fT1jxoxh8uTJnHvuuUyePJm33noLgDFjxvh/lZWVCCGylhmGwQ9/+EOOOeYYHnzwQQ4//HAmT57M9OnT+dWvfsXvf//7fo2pN6QtkR2SWNNMoo2ziNTMpWryeF8cxZpmIlslqRWpAT+2RqPRaHpGW5CGACkl5JnJ7aQceL73dTof78SabOVnUQjkny3V0dHBhRdeyNSpU2lvb2f27Nl885vf5J133sEwDNrb2zn44IMZN24cDz74IGPGjOGtt97CcRxOOukk3nvvPR577DGefPJJACorK1m3bl2fx3Uch/Hjx/O3v/2N6upqnnrqKS644ALGjh3LiSeemNfYuyKl5PHHH2fFihVMnz49r20ef/xxNm7cyEUXXZTz9aqqqn6NpVec9MNY00zC1fMQQiKlSaxppv+abB/e7lWNRqPZ0tACaShIQvM1zQO2O9kmaZnfkte6VRdXQZ4euW9961tZz2+77Tbq6ur44IMP2G233bjrrrvYsGEDr7/+OjU1NQBsv/32/vplZWVYlsWYMWPyO6BLIBDgiiuuAJRYOvHEE3n33Xe57777ChZI48ePByAej+M4DldeeSUHHXRQXtsuXboUgJ133rmgY24WGTbccPV8hFBCSAibcPV8XySJMu1e02g0mqFECySNz9KlS5k9ezavvvoqGzduxHGUeWPFihXstttuvPPOO+y1116+OBpIbrrpJm677TZWrFhBNBolkUj0K+D7hRdeoLy8nHg8zmuvvcbZZ59NTU0NZ555Zp/bSjn0VhphCkSpIBycT6RmLo4TwTCiJDu/4sckxe2LsLbRP1WNRqMZSvRVdygIuJacPEgsT9B5b2ef65WeUkpgm0Bex86Xr3/960ycOJE//OEPjB07Fsdx2G233UgkVMyT1x6jELx2IZnio2vl6HvuuYef/vSn/PrXv2b69OkIIbjlllt47bXXCj7e5MmTfVfYlClTePXVV/nlL3+Zl0DacccdAfjoo4/Yb7/9Cj52vxBQsvNfiKyaS7TxIiI1KpPNjn+JVOxAIjVzCTQEEcacoRmPRqPRaAAdpD0kCCEQwfz+rG0tKOtjfxWCwLaB/PaZZ/zRpk2bWLJkCZdeeilf/epX2WWXXWhqaspaZ+rUqbzzzjs0Njbm3EcwGMS27axldXV1AFkZZJkB2wAvvfQS+++/P2eddRZ77bUX2267LZ9++mle4+4L0zSJRqN5rXvkkUcyatQorr322pyvNzc3D8iYumJVQarhchL299MLRYy4fRGphstVHSSNRqPRDCnagjTMEIaAA4F/97xOyZElA57yXV1dTW1tLbfeeisNDQ2sWLGCSy65JGudU045hauvvprjjz+euXPn0tDQwNtvv83YsWPZb7/9mDRpEp999hnvvPMO48ePp7y8nEgkwpe//GXmzZvH5MmTWb9+PZdeemnWfnfYYQf+8pe/8PjjjzNx4kT+9Kc/8frrrzN58uSCz2P9+vXEYjHfxfbXv/6VE044Ia9tS0tL+eMf/8i3v/1tvvGNb3Duueey/fbbs3HjRu677z5WrFjBPffcU/CY+mSns7HCYUrHvAJvq0VGVYzKkyu15Uij0WiKhLYgDUPE9oKSb5UgyrNFkKgQlJ5QOih1kAzD4J577uHNN99kt91244ILLmD+/PlZ6wSDQZ544gnq6+s55phj2H333Zk3b57fif5b3/oWX/va1zj00EOpq6vj7rvvBlSwdyqVYtq0aZx//vn84he/yNrvj3/8Y/77v/+bk046if3224/Gxsa8XGK52GmnnWhoaGD77bfn4osv5sc//jG//e1v897+v/7rv3j55ZcJBAKceuqp7Lzzzpxyyim0tLR0G/dAI9vSVjZhxHTdI41Goyki2oI0TAnsHCC4c5DUihSyXSLKBNY2eab295PDDz+cDz74IGtZ18DliRMncv/99+fcPhQK5Xxtl1124eWXX+5xv6FQiNtvv53bb78dx3FobW2loqKCefPm+essWLCg17EfcsghBQVZn3baaZx22mk5X9t77735+9//nve+Boz2tenHTn5uQY1Go9EMDlogDWOEIQhMKiDKWjOy6cwQSDJWvHFoNBqNRrvYNJphQzxdVFNogaTRaDRFRQskjWaYIBIZFiS0i02j0WiKiRZIGs1wwV7vPxRSCySNRqMpJlogaTTDBCEz+9ZpgaTRaDTFRAskjWaYYIgMCxI6Bkmj0WiKiRZIGs0wQHa2IYz29AKhLUgajUZTTHSav0YzDHAa12BmPNcWJI1Gs7UiHUlyeXLIagD2hBZIGs0wQDarKtrSKUUYHQgjinQchKGNvBqNZuuhtqWWzps7kW3pwr+iXFByVMmgdJHoDX311fhIKTnjjDOoqalBCNGtqaxm8JBtKsXfkdukFybjRRqNRqPRDD2pJSl2/XzXLHEEINskHfd3kPgwMaTj0QJJ4/PYY4+xYMECHn74YdasWcNuu+1W7CH1m0mTJnH99dfntZ4QAiEEpmkyduxYfvSjH9HU1ASoliTe67n+Jk2aBEBrays///nP2XnnnQmHw4wZM4bDDz+cf/zjH/m1QGlXFiTHnOgvkrHOgs9bo9FoRiLSkcSf7H1S2PlEJ9LJv6XU5qIF0jAk/PE8eK+HxqiLr4JFcwbluMuWLaOhoYH999+fMWPGYFmFe2CllKRSqUEY3eBx5ZVXsmbNGlasWMGdd97J888/z7nnngvADTfcwJo1a/w/gNtvv91//vrrr9Pc3Mz+++/PX/7yF2bNmsVbb73F888/z0knncRFF11ES0tL34OIqhR/GRiHlG40UkIHams0mq2D1IoUsk0i6DnWSLZKUiuG7v6iBdIwRAoT473LlRjKZPFVsHg2CDP3hpvBaaedxjnnnMOKFSuyLCPxeJxzzz2X+vp6wuEwX/nKV3j99df97Z599lmEEPz73/9m2rRphEIhXnzxRRzHYe7cuUyePJlIJMIee+zRrZHt+++/z3HHHUdFRQXl5eUceOCBLFu2DIDXX3+dI444glGjRlFZWcnBBx/MW2+9lX6PpGTOnDlss802hEIhxo4d64uaQw45hM8//5wLLrjAt/T0Rnl5OWPGjGHcuHEceuih/OAHP/CPVVlZyZgxY/w/gKqqKv95XV0dP/vZz1i+fDmvvvoqP/jBD9h1113ZcccdOf3003nnnXcoKyvr+wOIu1W0ww1IGVbnGNcWJI1Gs3Ug2/OzDOW73kCgg7SHAinBzvNm5zjEJ59FKCAwFs8GJwFTLoH358H7v4Apl8IuF0KqI7/9mSXQh0AAZSnZbrvtuPXWW3n99dcxTSXCLrroIv7+97/z5z//mYkTJ3Lttddy1FFH8cknn1BTU+Nvf8kll/CrX/2KbbfdlurqaubOncsdd9zBLbfcwg477MDzzz/Pd7/7Xerq6jj44INZtWoVBx10EIcccghPP/00FRUVvPTSS771qa2tjR/84Af89re/RUrJr3/9a4455hiWLl1KeXk5f//73/nNb37DPffcw5QpU1i7di3vvvsuAP/4xz/YY489OOOMMzj99NPze59cVq1axUMPPcT06dPzWt9xHO655x6+853vMHbs2G6v5yWOAJF0LUiRMdAcBjq0BUmj0Ww1iLL8stTyXW8g0AJpKLA74b78bpQGUJW54P1fqL+envfFie1glfa5WmVlJeXl5Zim6VtKOjo6uPnmm1mwYAFHH300AH/4wx9YuHAhf/rTn5g5c6a//ZVXXskRRxwBKKvT1VdfzZNPPsl+++0HwLbbbsuLL77I73//ew4++GBuuukmKisrueeeewgEAgDsuOOOOI5Da2srhx12GEZGBtett95KVVUVzz33HMcddxwrVqzw43wCgQDbbLMN++67LwA1NTWYpulbhvri4osv5tJLL8W2bWKxGNOnT+e6667L591l48aNNDU1sfPOO+e1fk8IZ5368EtH48gwBiAT2oKk0Wi2DqxtLES5wGlzenSziQqV8j9UaBebpkeWLVtGMpnkgAMO8JcFAgH23XdfPvzww6x19957b//xJ598QmdnJ0cccQRlZWX+31/+8hffhfbOO+9w4IEH+uKoK+vWreP0009nhx12oLKykoqKCtrb21mxYgUA3/72t4lGo2y77bacfvrpPPDAA/2OfZo5cybvvPMOixYt4qmnngLg2GOPxbbtPrfNKwA7D/w2I+WjfRcbWiBpNJqtBGEIQoeHel2n5MiSIa2HpC1IQ4FZoiw5eeBZUCoqKjA+vFZZi4yg62q7VLnbCj32EFBamrZStberc33kkUcYN25c1nqhkPoBRCKRXvd32mmn0djYyA033MDEiRMJhULst99+JBIqzXPChAksWbKEJ598koULF3LWWWcxf/58nnvuuR5FV0+MGjWK7bffHoAddtiB66+/nv32249nnnmGww8/vNdt6+rqqKqq4qOPPiromJmoekdum5HKMRkCSbvYNBrN1oO1k8UHEz9gyqopkDHfFRWCkiN1HaQtEyGUm6uQv49+o8TR7lfCyXH1//1fwIfXFbafPOKPemK77bYjGAzy0ksv+cuSySSvv/46u+66a4/b7brrroRCIVasWMH222+f9TdhwgQApk6dygsvvEAymcy5j5dffplzzz2XY445hilTphAKhdi4cWPWOpFIhK9//evceOONPPvss/znP/9h8eLFAASDwbwsQLnw4q+i0b4FimEYnHzyydx5552sXr262+vt7e19WrZkRwtCqPdBVI/BQYlImdICSaPRbF1sqtwE7nw7dECIsu+VUXlO5ZCLI9AWpGFJaOl8jKVXK1G0+2Vqofd/8ezs54NIaWkpZ555JjNnzqSmpoZtttmGa6+9ls7OTn70ox/1uF15eTk//elPueCCC3Ach6985Su0tLTw0ksvUVFRwQ9+8APOPvtsfvvb33LyyScza9YsKisreeWVV9h7771paGhghx124K9//St77703ra2tzJw5M8vqtGDBAmzbZvr06ZSUlHDHHXcQiUSYOFHVEZo0aRLPP/88J598MqFQiFGjRvU43ra2NtauXYuUkpUrV3LRRRdRV1fH/vvvn9f79Mtf/pJnn32W6dOn88tf/pK9996bQCDACy+8wNy5c3n99depqqrqcXvZsgEAx6lChMJIqQSSSGqBpNFoti6slAVuZZTwfmGMSPHsOFogDUOEtHF2uwKjqwjynsv+WUb6w7x583Ach+9973u0tbWx99578/jjj1NdXd3rdldddRV1dXXMnTuXTz/9lKqqKr70pS/xs5/9DIDa2lqefvppZs6cycEHH4xpmuy5555+UPcf/vAHfvKTn/ClL32JCRMmcPXVV/PTn/7U339VVRXz5s3jwgsvxLZtdt99dx566CFqa2sBFTT+4x//mO222454PN5rrNDs2bOZPVsJz7q6OvbZZx+eeOIJf199UVNTwyuvvMK8efP4xS9+weeff051dTW777478+fPp7KystftZZtyr0k5GiDDgqRjkDQazdZFWVQlNBnVRlHFEYCQAxVlupXR2tpKZWUlLS0tVFRUZL0Wi8X47LPPmDx5MuFwuKD9ZsUgbYV9uLam8/e+JxM2LaJsxcmk5EHIE58kdsfXKQ89TrLuOgJHXFDsYQ4pyWSSRx99lGOOOabgWLItAX3++vy39vNfvGAxk9dOJjAlQNl/55f9XSi93b8z2bLvQBrNcEeC0+hZkOqRjvQtSOgYJI1Gs5VR3lkOgNVQfAeXFkgaTTHoXI1sX4/T5iA3KIFkt9bReXMnIfGpWsfWAkmj0WwdSEeS+jxFRYey6Bhjii9Pii/RNJqtEJkCkVyPEAmE1QiAY48mZF1LOPieWikVK+IINRqNZmhIfJig8/FOZJskiMpW6/xXJxxFUbLXPIov0TSarQwpJXa0HscZhTBaMYOqRYoVeoNIzVySURWonnd7Go1GoxmhJD5M0HF/B7ItOxxatkk67u8g8WGiSCPTAmlQ0fHvmlzIhAQb7FQt0q7AtFYCECx7mGjjLFLRQ9R6ce1i02g0Wy7SkXQ+3vtEsPOJTqRTnHupFkiDgJd90NmpLQCaDDpXI1tX4zQ5AESTUXCSBFKqAKaUBrGmmUjHzXzUMUgajWYLJrUi1c1y1BXZKkmt6F8bqc1FxyANAqZpUlVVxfr1Kvi2pKQEkWdFa8dxSCQSxGKxLT7NPRdb8vnLzhQiuR7bjtMRK2Vj82dUt/wFUyohLYRDuHo+0q52n2uBrdFotlxke36WoXzXG2i0QBokvC7ynkjKFykl0WiUSCSSt6jakthiz1+iulSLBEJ8hLQtqpvvYUzj7QBEG2cBEKmZS7z9GLWNoYO0NRrNlosoy+8an+96A40WSIOEEIKGhgbq6+t77DeWi2QyyfPPP89BBx201RYK2xLPP7kqSedjncAoQhU3U14637ccRRtnEWua6a8bqZkLgJBaIGk0mi0XaxsLUS56dbOJCoG1TXGkihZIg4xpmn7z03zXT6VShMPhLUog5MuWev5G1CDVofzoRvJwzJIrAJAymCWOYtGZxBJvUx18DKSOQdJoNFsuwhCUHFVCx/0dPa5TcmQJwiiOBWnLCvLQaIYpmSbiUNVvAZBSIESCcPX89Gv/FeIL66tqG21B0mg0WzjBXYKUnlDaTY2ICkHpCaVFrYOkLUgazRDgmZJD1rWEyu8DINV5OKn43r5LLW5fhDXRIvW6ZznTFiSNRrPlE9g+AK6X7ZOxn7DbwbsR3jZcNMuRR9EtSDfddBOTJk0iHA4zffp0XnvttV7Xb25uZsaMGTQ0NBAKhdhxxx159NFH/dfnzp3LPvvsQ3l5OfX19Rx//PEsWbIkax/Lli3jm9/8JnV1dVRUVHDiiSeybt26QTk/jQaUKblsj+tVIcjOrwDgpMYSa5pJtHEWkZq5lE29HmEIkkLNW4QWSBqNZivAXmuDBFEqWF27GmuiVXRxBEUWSPfeey8XXnghl19+OW+99RZ77LEHRx11VI+ZX4lEgiOOOILly5dz//33s2TJEv7whz8wbtw4f53nnnuOGTNm8Morr7Bw4UKSySRHHnkkHR3Kx9nR0cGRRx6JEIKnn36al156iUQiwde//nUcxxmS89ZsnVi1kGq4HMeZDIBjNwDKcpRquByrVq2XMjyTsnaxaTSakY90JMnlSRLvJUguT3Yr/Jha5cZnjjWg+LrIp6gutuuuu47TTz+dH/7whwDccsstPPLII9x2221ccskl3da/7bbbaGxs5OWXX/YDeCdNmpS1zmOPPZb1fMGCBdTX1/Pmm29y0EEH8dJLL7F8+XLefvttKipUU7w///nPVFdX8/TTT3P44YcPwplqNMDUOeoHt/oIAIxx21B2XJlyvxlz1DrJJCmhvttCaIGk0WhGNpl91jxEuQrO9uKLUl8ogWSONaGpKMPMSdEsSIlEgjfffDNLkBiGweGHH85//vOfnNs8+OCD7LfffsyYMYPRo0ez2267cfXVV2Pbdo/HaWlpAaCmpgaAeDyOEIJQKOSvEw6HMQyDF198cSBOTaPpFeGsAcDcZhsCkwLdTMkpw41BElGktmpqNJoRSl991qLPRZGOzLYgDSOKZkHauHEjtm0zevTorOWjR4/mo48+yrnNp59+ytNPP813vvMdHn30UT755BPOOusskskkl19+ebf1Hcfh/PPP54ADDmC33XYD4Mtf/jKlpaVcfPHFXH311UgpueSSS7BtmzVr1vQ43ng8Tjwe95+3trYCqm5PIXWO+sLb10DucySxNZy/KVYBYFc0ILucZzKZJGGoshBCOCRinYhAqNs+tlS2hs+/N/T56/PP/D+SyafPWuz5GLHXYn40gV2jjB2Dff757n9EZbE5jkN9fT233norpmkybdo0Vq1axfz583MKpBkzZvDee+9lWYbq6ur429/+xplnnsmNN96IYRiccsopfOlLX+q1tcXcuXO54oorui1/4oknKCkpGZgTzGDhwoUDvs+RxJZ6/pad5FijGYBnFn1M/IOV3dYxRbr+09P/fpi4FRmq4Q0bttTPP1/0+evzH+lUtleyR9sefa+YEUnQfms7tWNrB/388+2TWjSBNGrUKEzT7JY9tm7dOr9NR1caGhoIBAJZhRd32WUX1q5dSyKRIBhM10s4++yzefjhh3n++ecZP3581n6OPPJIli1bxsaNG7Esi6qqKsaMGcO2227b43hnzZrFhRde6D9vbW1lwoQJHHnkkX4s00CQTCZZuHAhRxxxxBZVKDFftvTzd1YthZdBOiUcdtw3EV1EeTKZZOHjT7g1kiSH7v9ljFHjetjblseW/vn3hT5/ff5byvknP0gS/zTe94oZhJIhdv18VwLfCBDeNTxII0t7gPqiaAIpGAwybdo0nnrqKY4//nhAWYieeuopzj777JzbHHDAAdx11104juNbez7++GMaGhp8cSSl5JxzzuGBBx7g2WefZfLkyT2OYdSoUQA8/fTTrF+/nm984xs9rhsKhbLiljwCgcCgfJEHa78jhS31/FMtqwFw5FiCOb5PABgCZAREJ5aTxNwC34e+2FI//3zR56/Pf8SffyXEKUwgedjP2Fi7D16qf77vbVEjoi688EL+8Ic/8Oc//5kPP/yQM888k46ODj+r7fvf/z6zZs3y1z/zzDNpbGzkvPPO4+OPP+aRRx7h6quvZsaMGf46M2bM4I477uCuu+6ivLyctWvXsnbtWqLRdE2Z22+/nVdeeYVly5Zxxx138O1vf5sLLriAnXbaaehOXrNVIlu+UP+Nsb2vJ93ZU1zXQtJoNCMPrzhuoQhUb7bUitQgjKowihqDdNJJJ7FhwwZmz57N2rVr2XPPPXnsscf8wO0VK1ZkxQVNmDCBxx9/nAsuuICpU6cybtw4zjvvPC6++GJ/nZtvvhmAQw45JOtYt99+O6eddhoAS5YsYdasWTQ2NjJp0iR+/vOfc8EFFwzuyWqKinTUD062S0SZcFPri1Bwo90VSFZfbjMlkGQiP1+5RqPRDCfy6bPWG7K95wa2Q0XRg7TPPvvsHl1qzz77bLdl++23H6+88kqP+5Oy7zd13rx5zJs3L+8xakYwi+aQ2gTt757frQ5H2R7Xq+KMU+cM3XiiysVGqHeBJHEDs5PagqTRaEYmwV2CcAJ0/LMDCjQIZfavLBbDq+iARjPApDaBteYKQta1WctD1rVYa64gtWloxyMSKsWf0vwsSCS0QNJoNCOX4C5BAjvnH08lkYhyZeUvNsUfgUYzSEhH0v7u+YSshN8QNtY0k3D1fCI1c4k2ziK+4XwqD5ZD5m4T9io1LSnvw4IklAVJprSLTaPRjHDcWs7BPYMklyW7FY7sSujw0LDoxaYFkmaLJbUihWyTxJgJSCI1cwlXz0eIFNHGWcSa1PLUihSBSUOTMSKkKkYqqsb3saYSSCKp241oNJoRjutes8ZblBxbQmpFiuQS1ZtNdmaHPrxf8z7Td5pepIFmowWSZoslM8gvGT2ICPMQIoWUQVccdV9vUMeTSiKMtQAYtdv0vq6hLUgajWbLQKbca6ylgrcDkwIEJgWIHBHJSp6RDZJNjw1x3EMv6BgkzRZLZpBfqPzPAEgJQiQIV8/Pud5gIjetRQgHKU1E9ejeVxZuDFJKxyBpNJoRjmtBElb2tdYTS8Hdgjn7UhYbbUHSDBrFTq336nCErGsJVdwLgJOaQKLtu35MUty+aMiCAZ3GFRiAdMZgWH0cU0RAogWSRqMZ8XgWpK4CabijBZJm4Fk0PFLrheEeb81c4m3fJFT+AEKkfPdapGYugYYgwhj8sQDIZpXB5oixfZpupREBB9AuNo1GM8LJdLGNJLSLTTPgDKfUeqsWUg2Xk0oeoxYI1cU5bl9EquFyJdaGijZVJBIzj95qbgwStrYgaTSaEY6bxaYtSJqtmmGXWj91DhYgxR9gNUCKsu+Vue6+OYN//Ew63Sraod7bjABgujFIWiBpNJoRzki1II2w4WqGO5mp9cLYNCxS6wFwEgAIMcTHzUDE3SrakTwsSKZrQXK0QNJoNCMcL0jbHFkWJO1i0wwomSnzjj0GoKip9T62Ekiei22okY6EhGtBkuPU897wBZKug6TRaEY22oKk0ZCdMh8ofQQAKYWfWu+JpCHvs+MJJIZYIC1KB6yXV60BE+Lvj6Lz45ZeA9al52LTFiSNRjPS6SHNf7ijBZJmQMlMrQ+E3wQgFT2IVGz/oqTW+/guNgfp2AjDHJLDpgPWExiWqqLtpMYSilyLtWYuKS7P/SMMlKjxaoGk0WhGMNKRKiMXRpziGGHD1Qx3MlPr7eRYzMBqhIgVLbXex0mkH6dSEBx8gZQrYB0gWH43kZr5vQesW64FSWoXm0ajGcGk0g9HmgVJxyBpBhwvtd7/eok4UKTUeo8sgTQ0bjY/YL1pJrGW/wVUJW9PHMWaZiJbVcB6NyxlQUJqC5JGoxm5+PFHMOJMMiNsuJoRwdQ5mI4Nd18NgLBixUut98gQSDKVYCjmMVm94DqOIlz5R4Qgv4D1gNusVgskjUYzkvHmfwbDrpVIX2gLkmZQkM0bEV7GmIgVv89OpgXJzmGxGQQyA9GDFXcA2QHrudbzcWOQQLvYNBrNyGWkZrDBiByyZiTgbPrCV9+CeFHHAoCT4VYbIhdbVi+4sn8BkOw4DjuxW98B6wEVgyTQrUY0Gs0IZoRmsIEWSJrBomV1+rEYBm4imWlBGhqBlBmwnuw8iEDJ80inOr+AddfFpi1IGo1mJCNtbUHSaLKQbav8x8PDgpQdgzRUWLWQ4nLsj9cT4HmkXQ0oy1GgIdhzwHrITfMXWiBpNJoRjLYgaTRd6Mi0IMWQjoMwihjyJoc+BglI94Jb/x2wQYyqoezYPALWg26a/3Cwvmk0Gk0/8WOQhqb03ICig7Q1g0MsLZCEkJAcOqtNLkQRXGxZx7ebADDqRuUVsC6CngXJRhb5vdNoNJp+M4ItSFogaQYFkViTvSBRZFeRLI6LzcdpVv8jeRaBCkXSj+PaiqTRaEYmngVJCySNxkXY2QJJFvsmX2wLklQWJFFSk98GnosNkDGdyabRaEYmIznNXwskzaAgWJv1XCaKfZPPEEXOEMYguQiUQKKkOr/1DQPpKJFU/PdOo9Fo+ol2sWk0aWQqiTDWZS9MDh8X21BbkFSAuhuDVD4q/+1wrUjFtr5pNBpNP9EWJI0mA9m0DiEcpDRw7Dq1LFHcm3xRg7TjUYRQxxcVBTSikypQWya1BUmj0YxQRrAFaQRqOs1wx6uiLZ3RQFAtTBbbCpIhiobagtS6CQFIGYBwaf7beRakIotLjUaj6S/agqTRZCBbVJFIKRqQuNlYxXaxkZHF5gytQHLaNrrHrS6wFpT33mmBpNFoRigj2IKkBZJm4GlXGWzSaABCalmRBZKgSIUiAToaAZBUFbad8IK0OwZ4QBqNRjM0jORWI1ogaQaeDteCFByL9G7yRbeCpK1GYqhdbJ2uQBL5ZbD52wllQRJFt75pNBpNP/EsSKa2IGk0EHdrIIUbwLvJp4p9k890sQ1xociYEkgYhQkk34KU0kHaGo1mZKJjkDSaDETSbTNSOhaEcrHJVJGz2ESGKBriGCRPIEkrzyKRHq64pOjiUqPRaPqJjkHSaNIIWxWJFOXjfCsIRRZIRS0UGXeLRFpVBW3mudicxnaSy5NIRw7wwDQajWZwGckWpBE4ZM1wR+C62KrGghEBG7CLbAUppgUptUn9D+ZnQdopcTc8/yZOaxDKwFnXQedf2xHlgrI9rseqBabOGbThajQazYChLUgajUIm4himSms3ascjDdeCVESBJFMphLDTC4a6UGSqWf0P5SeQIrEyAuuuwrA+VAsM9d6FrGux1lxB8nNHW5M0Gs2IQFuQNBoX2bjGL4ooKkcpCxKAXUQXW1dBJIdWIAm7CQSIcN9VtKUjCa36BdGyeiI1cwGwwi8Qrp5PpGYu0cZZxJZdgFjWoq1JRUI6ktSKFLJdIsoE1jYWwhh5s2ONZkgYwRYkLZA0A4Z0JMmPPycESGcMAgGmWwepmC62ZJestSGOQRJOI5hApO8sNnulTSgZItY0Eyv8AoGSFwlEXiMQeU2Jo6aZgGdNmkuKy/WPeKhYNIfUJmh/93xkW9qCp12fGk3PeBakkSiQtItNs/ksmkPqmTm03NhC8o3lADjJMbTc2IKIvqHWceJFG55Mdjn2EMcgCdwg7dK+XWyyI33jjbf8OOs1M/QWYGdZk9oXna/dbUNEahNYa64gZF2btdxzfXqhZhqNJo12sWm2atI3jgTSrgTASY1RNw75olrJKaKLLdXVgjTEAkk0q/+lfbvYRGl6lmWGPgBASoEQkmDp4wS2HY0QToY1Sbl7ApMCgzF0jYt0JO3vnk/ISviuz1jTzCyxGt9wPpUHS+1u02gyccM/R6IFSQskzWbR9caRjO4HgDDXEKl5iETHVwmWPlXcIO1uFqShc7HJZAJhtAEgKvoWSOYEk3ggTmXZjemYo6YLKGv4bwIlLyKEg5RB39UGINu1BWmwSa1IIdskMdT7HqmZS7h6PkKktFjVaHphJFuQtItNs1n4N46mmUQbZxGI/AeAQOQNoo2zSHYe7a44jCxIDJ0FSbY1+Y9FWd8xSMIQxMddmiGOZgIWdmLX9DoiQbh6fsZ++z8zk44kuTxJ4r2ErrXUC5kiNNlxDABCpLRY3YLQv4VBYgS3GhmBmk4znMi8ISiXwzWulcMk1jSTYPld6kWniEHaRXSxyTYVmCKdCoSV388tGm4nWXMZsXUXABCunk+46lb/9WR0f9/NE7cvwtqmHz/jRTrguBAyRWi4el56uStWPZG0OWJVUyQW6d/CYKItSJqtluwbx3yEcNRyoYKJpVRZbIJi1kGKd10wdMfucNuMyPz7sC0JngIHXUbVeVWU7fUb35okpXLddKy/hWjjLCI1cymben2/Yl50wHFhWNtYiHJBuHo+wbJH/OWxlv9Ju9sqRP/Eqqao6N/CIKPT/DVbK96NI2RdS6RmLqnEDljBpSTajyZSM5d427fUisZwsiANYbNaTyBRYKNalLstsI1BatPlxNefT8hegLDWYJgbiNsXEWgIqtltgeiA48IRhmtNWDMXOzkeM/AFAKnOw4nao4nUzCXQEEQYc4o6Tk1h6N/C4CIdCY77ZASqjRE4ZM1wIvPGEW2chRV6HYJLSXYei53Y07/oCDmMBJK0c683CMio62IzChdIAEydgwVUHixx7qgD1hDaq4XgVyv7fTPOHXA8DyGkDjjuBasWUvIyzNXX+csM64vNEqua4pL7t3CNzhQdKDKM9SPRgqRdbJrNxqqFVMPlxFMXgVDxPVIGidsXkSr5vrtW8eogYWcLJDGUlbRjrgXJ7KdAchGGQFr1ABiBDZs1m+0aNyYlCCGRMqADjntj6hzEdicjjA5/kTVmDZXnVGIdOkfHqYxAuv8WhBtDaenfwgDgxx/BiDTHaIGk2XymzsE6dA6V51Yigkp8BHYpofKcStjpDAAEwyeLTQ6lQIq7WWzW5gkkwBdIdK7frP10jxtzl4vkgGXHbanIlW9lPTdYpV0vI5juvwW36rNI6d/CQOBZkAxG5O9kBGo6zXBFGAIMJT6MqqB6HnB7sRXRgiTt7GMPqQUpqSxIBPJrVNsrwTp1wYlvnkDqGjfmEW89ZfOz47Zw5EYlkBy7FsPcBMmVRR6RZnPo+ltw7DIMs51Ex5H6tzAAjOQMNtAWJM0A44kP4fZgE0ElkIQoXgyS6Nasduiy2ETStSCFBkAghZQFSSQ204Lkxo2pINT/5y9Pdnxjs7PjtnRExzsA2CFVC8mQXxRxNJrNJfu3MAsIAmDH9tG/hYFgBGewgRZImgHH/UWYKqDRE0gUUSB1tSANZaFIbNeCFNp8Fxslo9X/1OYJJEjHjSXsM9ILRUzFjTVcrgOOcyAdB8N5Vz2Z+A0AhLEGmRra5seagSUzhlII5Y4XZov+LQwA0h7ZFqQROmzN8MWN97HUTAzfgpRAOjbCMId+SF0F0hBakHCa1TQksvkWJFGqBJJwNm72vrzsuNLtP4YX1KLATilKj+5/dtyWjly/EsNsREoTa/evIT8xESKF07QWUTe+2MPT9JeMTFHuVhM5o6qVypP1b2Gz0RYkjSYT1zrT1YIEkChSHFJXF9sQWpCEVC42UTIA09AK18XGhs3fl4tIdPqPjUhCuxJ6wf78dQAcZxdESRnSaVDPNywv4qg0A4aTQgh1RzdEs/4tDAAy6VqQepsXL5oDi68CwHj/SnZM3Jt+bfFV6vWuj4cILZA0A4rwLEiuQCIU9l+T8c4cWwwBrgXJq0Q9pDFIuAKpbPMFklGpbsjC2IB0BqaWk4y3pZ+kilirapgjHYlc4QZoG1ORjsQRymokm3Wg9nBgs3upZU7gnOYBHdvWihek3c2CtGiOL4oQJiyerZ4Lk12Sd2M+e4R6vni2+3rG4yFEu9g0PtJRBdFku0SUqbYJhc+ivBgk5WITgSBSmghhQ6JIN2C3craUJQjRghgiC5J0HIThCqTSAXCxVbsWJGHjtDYiquo2e5/E0zV9sItYimG4sijdp6uk9B0oheSm3em4sYXyUa1qndYVxRyhZtHA9FKTyRje1U44Tb2uq8mTTBfbojlK4Ox+WVoUgXq+7llYPBtRdwgAxobnYMNzsPP/AycO7/8Sdr9SrTuEaIGkGeBmjW4WmxeDBCDDIDqQiSLdgL3WIrIUaIGhSvPvbFPCEBCVm29BEsEQjlOJYbQgm9ZBAQKpJ/ErE+3plWxtQepKuk9XAiukArTt+FRCkWsxjQ/USp1aIBWTzM/Iq4gNXi+1uaS4PL8bXcYETtA84OPcGslK8+8qikA9X/csrH8awmMwNjyLBF+o8tGv3fWHXhyBFkgaBvACA34WiO9iA6QMI+iAeJEEkltJW+LFQw2Ni81p24QJSCeMCJcMyD6lrAdakK1rgd363mBR7+LX7Hg3va4WSFnk6tMFYEWeIlJzHYmOIwiWLoS4TvUvFgPZSy1zAidE82AOe6vBXHsV4WoH2/pZtigCZRkK1ipxBBBbC2SIIw9hFUUcgRZIWz0D36zRFR+BDAsSqiaSTBXLguRZjDyRMkQCqWWjEkiymtTyZD9dltlIUQcshfb8Uv37FL/WselARO1iyyKzT5dhfUao4h6khEjNdUQbZ2HHpxAsXYhIaoFULAa0l1qmBcloQ6ZSCEvfIjcH6ZhEan5JXJjAVUroJJvTIikHDgaG1+HWCCoPwOKrtAVJMzRkulvsdjvHBeZahLD716zRqyOS4WKTuIHaxYpBkm6Qtih1Fwyyi22RstrE39uLQC1Iu5L2v7b302XZBbMOJMjOdX2umo/4lUYpVtUjagNHW5Ayyey/ZSd2BUAI1Wcw1jQTM6isb4ZYVZTxabr3UlNNl/vXS00ms7//sr1pYOL8tmLsylmkPkkSqfkFvIv6AS25sfuKwgRp49QdwpLmBnZJ3q2WT7lU/e/qmhsitEDamliU290Cqg8RIuY2a7SR0iz8AuPYCOEq/8wYJM+1lSyyBUkoC9JgB2l7VptA8Hh1eFsVieyPy7IrMjhadW2J9m1Byppdi2hO8Ruu+lV6Ay2QssjsvxUs+xuAm3CQIFw9n3jL/wBgmOuQ8RgiI2NTMzT01UvNu4bl1UutSxanbGssKM5PQ3YgNioGKdY0E2v0CgLv/6LLygbgQOlk6PgM6g/DWP80uwD2lMsxDTdmafcr1V8RRJIWSFsRme4Wqm3AzLIo2Mn6jAuMXfgFJpkWHllB2sJ1sRVLILkWJIxSkDCYLrZcVhvpVG+Gy7ILwTolkBJ5WJAyLSDxPQFc8RtMi18jo/SCFkhZZPbpssKLAehYdztm8MOMzzaMMGI4G1dijtuhmMPdKunWS80JYRhxkp0HFd5LrasFqaNxMIa8ZdM1EDspCVXcipW8K3u9+kNh/TNQf5iKQao/DA5/CmfhISqDzdseQNppi7scmPIm+VL0Okg33XQTkyZNIhwOM336dF577bVe129ubmbGjBk0NDQQCoXYcccdefTRR/3X586dyz777EN5eTn19fUcf/zxLFmyJGsfa9eu5Xvf+x5jxoyhtLSUL33pS/z9738flPMbLng3bq+/kBX+j+oz1PBfRGrmkorviBlIWyXsZINrcZiPqBB5XmAS6cdWRpC252JLFalQpGdBMjwX2+AJJN9q0zSTROchAARKHvPFUaxpJrJVuSz7RcStpp3su1hklgWk/B4ApMS3gAAIkRZIQgukLDL7dElHff/t+K7Emmb6vyMplXVUbtKZbMUgu5faJX6SiJ3cofBeal0EEh061b9gdr8sbe1ZNIdA89mU1F2CoKsHQqr1Dn9K/V//NCy+CvuQhXwYOCUthHa/LC2OMh8PEUW1IN17771ceOGF3HLLLUyfPp3rr7+eo446iiVLllBfX99t/UQiwRFHHEF9fT33338/48aN4/PPP6eqqspf57nnnmPGjBnss88+pFIpfvazn3HkkUfywQcfUFqqbpDf//73aW5u5sEHH2TUqFHcddddnHjiibzxxhvstddeQ3X6Q0quYEYpIVDyAnaqCiv0cdb6duzLJNp2JlIzl0BDMK+S+9JOpDMQMoO0hSuQksUpFCmkm8VmloANiMFzsWVbbaZBybNuTESwYJdlTtx2I9jdBVLXVH5zvOnProOlj7nr1BBr+bE/uxZWRpq/1EHaXbFqIdV5FlbL/yGdCE5qEqCsEoGGIMbqBUATsunzYg5zq8aqhRSXE9/wP0TEPEC5PTsTvyLQEMy7l5rsWig1qgVSv9j9MpAOvDcnW2DUHwKjD1OPF89OP860FAEfB09i+ynH9Fp8e6goqkC67rrrOP300/nhD38IwC233MIjjzzCbbfdxiWXXNJt/dtuu43GxkZefvllAgFloZg0aVLWOo899ljW8wULFlBfX8+bb77JQQcdBMDLL7/MzTffzL777gvApZdeym9+8xvefPPNLVYgZQUzNv+ESM1chKtmTKvZfy3RfizBskdUs8b2iwq6wGRZkDJ7rnkCqVhp5F4dJFMJZDGIFqRMq40VVqbizLiVglyWOffvFouUGTFIi3pJ5R93PFbyOZLRfQhEXkcYbcSafgookWw7u6T3I4tk4RvOTJ2D7LgXWv4P29mZ0m+WZ9SRmkPyvmUYqc+hXVfTLhpuL7XynT+HZ9QiI7yeyv8trJea6GLhlnEtkPJi0ZysuCMAEtnuyWTlZQQOvzJ7u0xXnLdtcggbiedB0QRSIpHgzTffZNasWf4ywzA4/PDD+c9//pNzmwcffJD99tuPGTNm8K9//Yu6ujpOPfVULr74Ykwzt95saWkBoKYmXcl4//3359577+XYY4+lqqqK++67j1gsxiGHHNLjeOPxOPF4+gfU2qqq6CaTSZID+KF6+xrIfQLY4bTvNlKjguWUuyXzf4BE2ylKIBmtBL4aQE75uQppzmM8TqyTECrLJ2XbYLvHFGGQ4CQ6+zyvQTl/z4JkuMHiYmA/s6xDNUjfahOIvAFArPFnIFLpmIjURcgGmXMMfZ2/LBsFgCE2pNfZ4BBYd1XuVP7kc6Ssg3HsMcDrCJEEESeeughrtIWxLiM2QMYG7X3Jl8H6/m8Ocr3KVpOhKYidlLBN2SmwwQmOhRQ4TSuIfhLFnGBuVimH4Xj+Q8nmnL/Tvsm3Ogix1v+M8t4+0ZF1Q5TRTUP+OYzEz9+QYL43G9uxcXb9OcbHN2J+nJ2pJulyvdv5EgzHBjuBk7F8qM4/3/0XTSBt3LgR27YZPXp01vLRo0fz0Ucf5dzm008/5emnn+Y73/kOjz76KJ988glnnXUWyWSSyy+/vNv6juNw/vnnc8ABB7Dbbumievfddx8nnXQStbW1WJZFSUkJDzzwANtvv32P4507dy5XXHFFt+VPPPEEJSUDUwQwk4ULF4KEyo5KgskgiUCCltKWHFW08kTC9MB0KspuJFz1B0ClLku7lkDJC66VI0mgVMVzCaOF199/nZbPW/I+RHWsiYMApJUVF3ZwzKEqBBvWruDNjOW9sXDhwryP2xdHxNsJhGBDUyfjggCprPENNHvWPsRE80+k4jtjhT5COqXEW89AAiU1c1lvr+e5x77e6z56Ov9QKsbXAGG088RD/yJlBJj+0VlUlKUoqZkL2CTav0mw7EEiNXPpbJxFS/s5VIw+xa1GBR9v8wZrKxxon8aR8YVEQssAcJwO/j2I70shDOTnv7kc1vgmwRCsjdbxlvv+7JS4m0isjOrGXQnVgYh+QezuGPFAnPi4S4mG21kSPKXfxxxO518M+nP+4zpWsLf72BDrePjhR6AAsTq1+TMmZ1Qyad6wnP8U6fcwsj7/vdgxcAq7vH8Fqz96mvH2C/4rGzvOpTReSoRf8OE/l/Fx8KSs7QD4vPt7PNjn39mZX7jHiMpicxyH+vp6br31VkzTZNq0aaxatYr58+fnFEgzZszgvffe48UXX8xaftlll9Hc3MyTTz7JqFGj+Oc//8mJJ57ICy+8wO67757z2LNmzeLCCy/0n7e2tjJhwgSOPPJIKioqBuwck8kkKx75HyZXbU/0/Z92c5mU7n4dRq3EmdK90JZ0JPZKG9khEaWi+2y2/CoC6+aSaP8awbLHQMQJlLxAsvNA/3+oQlkUhNHK/ifsX9BsWK74EF4FSYBjjjkmvfyfD0IS6msqOOboY3rZgzr/hQsXcsQRR/hu1M1F3HsdAKPGTIRGEMLh6K8dhTAGx8ttvP8GyU2XwWevAB8hpXLtJVIXERhtMb5WMnZK7vehr/OXjoO8P4gQCQ7fZypOfAKxxTHiTTMRKLdZpOZaAJUx1zSTMBAy07FGex60HYabcSXuSZu9TSOZ9bkVg8H4/DcX457/B0D9bl/lmD2OVAuff5PAuquIh9QF37BUscjKshuJmH8iWXMZ2x1U+Hs5HM9/KNmc83fefhQ+UY+FEefog/dHlFfnv/1TSyDDM1RVKof89zByP/9jsN9tYMLH1/lL7F0vJ/jBhcTW2pg7WOyy6Sp23HFHnF1/3uNehur8PQ9QXxRNII0aNQrTNFm3Ljtded26dYwZMybnNg0NDQQCgSx32i677MLatWtJJBIEg+nA4LPPPpuHH36Y559/nvHjx/vLly1bxu9+9zvee+89pkyZAsAee+zBCy+8wE033cQtt9yS89ihUIhQKNRteSAQGPAPMhIrI7ThlziW081lElg3l5RxuX9M6UicF2djbxJ0fnohsrOXXmp1BinjcuyP2oHHsILL0vVwqucDNnZid8JV/4cwNhEMBSkE26t+KoNZ70nSDEMShIzn/V4N5PuacuseGaHy9P4BMVg/wD2vwgRSd3wFAGvbKoJTy9y4FSVI+pJmvZ2/44xCmKsxOzYh3KBhyCyUJ7vVsRJs8h+biXYsd982HRnrRIfNRXkwflf9QUY7wPgUgMCkL2EEAkhH0rL4QkJW2m1qWKu6lHK4kMpD+185fbicf7Hoz/mnMvsKAmbLesya7sk+PZF0ElnPDbvZ/50MBdKRpD5PUddUh1gtsLbd/Mr7Q0o0I5PTCGLuOQfxXpt6PvZSGBvAlDZmHu/pYH//89130QRSMBhk2rRpPPXUUxx//PGAshA99dRTnH322Tm3OeCAA7jrrrtwHAfDUBUKPv74YxoaGnxxJKXknHPO4YEHHuDZZ59l8uTJWfvwTGve9h6maeI4zkCeYr+QjiS06hdEy+pVILWxgeimqwhX35hdR6fmcuxG4dbcsVXAbShFrDMtdsDMLkzoBjPK9aeCDUn7EOLxiwDp30yNihbC/B/CSBVc/E7aXoxWly+f4bogi9TKQuBW9w6UphfaSWBwC/sJqS7Y5tgqrHyqkOeJpA5YDW3rEXU9FcrLrmNlGGmBRKwtPcYMgaQKLGkysVe+hyUkjl2LqFHhANkZoXEiNddhmC1ZpRwKqj6vGRBkIjscQLasJq9+hR5uEol0yhBGOzjNAze43liUnWSxC7sod215fPMr7w8Wi+ZkB2Z/8SCsvF89FobfHkSmzlPLLGCX4vRT2xyK6mK78MIL+cEPfsDee+/Nvvvuy/XXX09HR4ef1fb973+fcePGMXeumqWdeeaZ/O53v+O8887jnHPOYenSpVx99dWce+65/j5nzJjBXXfdxb/+9S/Ky8tZu1Y1wKusrCQSibDzzjuz/fbb8+Mf/5hf/epX1NbW8s9//pOFCxfy8MMPD/2b0AV7pU0oGSLWNBMjsIxw1R8JVd7WvbfQSkmg9UoVmNuUTt23wi9muc1yFSYUqVUqlmniD6j8TmV2avjYMnC/57KjGRHKbc3LScoLfOtyUzBdy1uOOjtdU9NlQz/T33vDC9IOpmPFZDLR73Cu/HFntKGyAd2rNNWsWHasw5qWXSjPIxXfJaNQ3gUIIy2KZCzzRpJRB0logdQVuXoRAI4xBcudVGW3t7iUcPV1fpLDgJRy0PSPLgKJtrWFbe9O8Bw5BpNPEM7QZLENZLPwISOzIOTO58F/vqcel2wDnStU4cfFswkSJ8r/Q1gjyBKWQVHf95NOOokNGzYwe/Zs1q5dy5577sljjz3mB26vWLEiy9IzYcIEHn/8cS644AKmTp3KuHHjOO+887j44ov9dW6++WaAbhlpt99+O6eddhqBQIBHH32USy65hK9//eu0t7ez/fbb8+c//7no8RcAsiOzjs5uUH5fzjo6HR9eSCiScq1MzTipcdiJiW7AtfDFUa7ZrHBWggmiahuEIbrNcqVTrpo1tjdBTQECyVYCSXYTSK6lxsm4AS/qOTV9z9qHMN5/A/a8Kv9j94oalwhmCBV78BvW+taZ8AALJKte1brsXOcXyrPWzCXeeqofQyadUX6hvEBNPCu2glja/55ZKBKh6yB1o0lV0JaRKf6i7u0t3OUiOSClHDT9pKsFqWN1Ydu7EzhpjAE+QdA8MOPqhe6V9x3iLacTqvzTwFTeHyw8y9Hi2fDJrZBsVdf5zhVua5DLYPFVhBfPRlY7YHVPcBoJFF2Ynn322T261J599tluy/bbbz9eeeWVHvcnZd+zth122GHYVs4WpekfQcAr7idFtzo6MiaJxdKWo6x95IhB8Waz0rExDHXhEKMm5hyDlJUI2pCdzYUN3vZ8+F0EkuWm1zvpG3Bvs6aJ5p9IbrpsAAuFueOyQm62nu2LucFECGVBEuHyPtYskGCdEkgxVQvJK5RnN1UBSiAZ5rp0MUOjy0w6oaxJMpVCGBkdzIWNTCURlnYLgbp50f4emOBYuyEddZPq1t4iVYthbSLeemrh7S00A0eqS+BtrEALkjuBk+YYcECI5oEZVy/kKuAbrr4GIRj+7trdL4P4Jvj4BvXcjqXFkft67NUYkNIWJM3AYE4wiQfiVJbdSCDyMuBVPz4j3ZE9NhNcraECc+e6Jn7RZy812bgeQ8SRUmDUTcg5Bkkl8AUUKpB6crFZyoLktbLoq8t8Z+MsEusvpPLQgZk1CV8gBVFfeRuZSvS2yWYjHQeEsiCJyAALpNBo6ATZsZ7k8iTWbpdjGQLZfJ7/vRDmBirPUYXyUouewlj1+/T23kw71tFt1yRiWW1itkoWpa2bFTUfABD/aHuin7b4MSFle4C1Rs3wAyWPY1ibSHYch5OaWFD1ec0A4gokx67FMDch4oUKJHeyEBwNMZXJK1MphDV4t8lsd23mtbzwZuFFwc6wQBvBbo1kY+0zkW2SwAhVGiN02FsuwhDEx11KxPwTqfiuWKEPEEYjsSZVYiBSMxer3KL9nQsACFf/IsPEL/3aO3ZyXM7ZrLPxcwxAOmMwArmz1KSoVP9jzQWNXXpZIKIHFxvqApR71pTuMh8f8FmTK9zMIMgAiHiGmBsk4tG0WC0ZIIG0SN24E8vGEKgBEV9H+1/b/WxFM5quJ2KYTUoEBkPIjo3Z+0mqG4mMtiPIFtYy1jlw4x2h+NbNQDOGpbJs7cTOhEsyYkK89hbrz8dy1EQGo9232uVdfV4zYAhbCX9H7IDBJkj1UyBFGrxLlYrDrBw1gKPMpmd3bT+ahQ810TXw6W3qsQj4gdlZIsmNZNAWJM2AEQ23k6y5DD57GfgAISTCaEpffGskYpln4k/XnfACs0E1JPVjUDJms7JJpWI6YnzPnYoNJZCIFRik6McgdRFeATc42rMgdZs1zXO7zFuDM2tyG1gKK4TEUsHZzuDGIMmOVl98EB6YQqLejdu2VO0dYSrh4wVzOnZtVv0A2bQOMXob6OzSty3luthibhC5LEWSUI0+E1t3w9pc1k07OZFw1S3ZMSHnVGIZgsqDJam7lKAMbhuj9OuFtbcYrnRNnlAlKob5Tc5pAwEytCMkX0E46/reJgPhtdoJViKdEoTRiWxrhEEUSF3dtdKxVAaxNIafu3bRnOzMtRdOVP3TSraB7f4X1j2d3T4EkCn3Gj4Mht8fRuiwt2yWBE9hu4OOQazZ319WcngHgX229y++ZY1zVGBu2wmEyu/HTo6hfc2/CFf/QqUdWxuI2z/pPpttVU01pTWeHjErVZWArlkhfSC8uJ6uFiRLZbEJd1rWfdbkuQVTgzJrEp4FKeBakGDQLUjSS6WXpQNSkDLXjdswN2bU3rmYcLUSy1IGECKJ07QaY/Q2ENuUvTPbtSC5AknKUgQGiAQyUZyGwsOFTOumGXqDYOlCDGtFjyn8whAQKAcbRKh9+IuIvljUS1+/4Zpy7iKcFjVBKNsJmlS7kYKQ7uTADCJlFYJOZHtj79tsJplJFtHGi4nUXKOWC4d42wnDy12bmblmx2CjW4C57itq+e5Xqga0mSJJW5A0g4WQzf5jI7wx6+LrB+Y2h4H7seP7ABCLX0rIuQXD6KT0qLVYO8/J3mmn21QzlDv+CEBaVa5Aau5xnZzb+XWQsr9WwrMguTO0brMmaSCEqkEVqZmLRFWdHrBZU4YFyRubtAc5BinqWmlk6YCUE8hyS4p2ItW/RZjr/Bt3ou0EIjXXIJ0QjtwR01wMbe4MOq4sTV52onAFEnFXIFECUiJoRSa27ky2TKulk9wRWOgmPQR7tm5a5e7vJV1KYaQyIlPOfdz3v0YJJMNoRsajiFAkv81lHAQIM4KkClgNnYOf6p921/6QCNdkvFJOquHy4eOuzcxcK3XrC4bq4PO7soOzAaStkhy8n8nw/dL0yggd9tZBZpqp7OjiJvGKPjado/zlZZMoO1JVa7bvmorBK4hNnwD7Zu8z5gqkkp4FEoFKVTMwWZgFCcezIHVxsVleDJK6+WbPmv4fkZpf+6smOw+kpGYugdHpqtObg3Qc5TqCjCBtBj+LzRcfpX2smB9ZbsnGOYSrfusGcyq3pFWiehc5zrZIawywGNnuzqCTyoLkyEmYLAbHda3FvSDtUvyunsmt28WWabU0Q68CuJmPiZ6tm6ZbxqFrFtUIo6/kiWGbcu4iUO+/qJmE/ES143Ea12A2bJvfDmRMuegCYRBVallUCaRBdTm61/LyXVbA0+nFVslTGAd/BkaPwRBDz+6XgUzBe+61Ob6huzjyHicyLJDagqQZSKTjIIzm9ILO9TnXE3HlMhN1k/2AZhncDlKvIJuXdt/A/gIMoDJ3ij8AwSq1z1ShAsmzp3ZxsQXcLDbSN19v1pTY8G0ipAWSEVjB2uiZ1Jq2n1a9WWTWOwoE0zWaBrsOUtxrezAwAinbLfmrjGBO5ZaUjuoH6Bjbg1Xp1klSAknYrgXJmgxyMUK6LrakEkhSlPjFNElu3RakTOtmIPIGgCuKRM8xIQE3qN1uZySTO3lCta4Z9innqKwzAFFWjXTqEeYXyKbV0EUg9SR2vBgkYYbAqFKPN95B6pmPh8bl6E2qnAgIG9NcQfyF9zAm7rLZgmxABV7FzunHOTLX/GOmMqysg9P2ctDRAmm4EutAiIybeHRDztVE6nO36GPGRaBkO2gFOpZ1W9+QqqmmqNmm52MH3SBtu7mwMbsuNtnFgiT8CtYZhSLdWVPp+LfhdZBOEAhiBj6ndP0xtK8+APFOy+ZfhJJpV5oIhDIE0iDHIMVdF5sYmIywrm7JePs3CJU9iJ1SLWmSsWlqxbIdAaEEUly52ITTCAbI8CRlxJOuK8LrXSVKQbrCaGu3IGVYN1Ox3bHCi5EySLz5fIDcMSEBt1m1PbJdbN2TJ65xi9QaRU857+sGL+MxvxK8KK3CEWMw+ALZuia9k0W9x1cZQl0bCYSRVjWkQEbjWB1D43KUnkCSJnZ8XwKR57DffYTO5yf0X5AtGoSYssVu0Udh5s5c8/BuXwbD0uKYD8PIdqfJRLZ1CQ5M9CCQhGtBqk33nBNVbqf2RLZAkok4wlA3TaOHIpEAhN0O2E7/XGyiqwUp6FqQRI6br2vCFkYCO7GdWr1cFTtUF6ErSG3qvlm+yGSGKAsEYYgEkh+PYgyQBcm9cXuujujG+QCY1nqiTecSCL+pVqzaESJug86EG4Mk3TewTH1HhBer4VqQMEqRQsVpyNTWbUEC17rZcDl2yp0pu4H9cfui3DEhQSWChTOyBVL35AkVFyiE4/Z37L7eoLNoDqln5tByYwvtf22n44EO2v/aTsuNLaSemaMyqwDZkb5WiZIKMN0OAO3pQO10fNW1WYfwrjNI944eCINVpbZp3t3PBvbeg0yXY/ui81WszUDgJk0YZjvSUSaXQMlTWWMs9FrY1zkXfG1952fQtkQ9Pvpd5V5bPFuJpC6M9Aw2GNFD38LpaM5+nuwukJzWRgxDXRiMMRlNeUdtDyvAkJ9mr79hJaaQSBlCVPXc5VpEqtR/WaBAcgOfZReBJAJukGQOgSQ7lBC0kw1Y4XcBCJY9iJMaS6Tm15sf95BhQcK08G29gy2Qku5s0Bi4NiOZtXekLUnFp2KFFuEwBceuwDBbEbU7QssXsAmErdyyhlBXQVG9HWwAITyB5FqQjFJwXBG7lVuQgHR839r/Bgnm2Ahl3yhzrRZzuq8fci1Izsh2sXW1UqYS22MFP8FONhQt5TzfoHHpXi+lU4awLGRgtCqg37naXd69pUes6SLC1b/yxU6oYgHQrARSsFoVi5TNRJsuB6PVF0lCpAbF5ehlvtrJMQRLVTCSFX6JcPXVRGp+VfC1cMBjyhZfBR+4XRuqdoeqKeoPuqX3AyM+gw20QBq+dKliLVIbu63irPsMA7dybEZxP6NBWZAMcy2ys80v/Cc3KWuT44zD7C3wzxNIFCiQpCs6jC4Xi7ASSEKkurWycDYpgeQkdybRdprbW67DF0ebfRFyK2ZLGUQYhi/epDM0AokBFEjejbvyYPV+2C8fhsUigrWPI1z3jjFuZxzPkuesU0153Ua1om5b+BiE0YFMpSDlxiCZJQhblWLQFqQ0wo3LMmrCvX73hGdBkiNbIGUnT8zCijwPfIIwkjlrqg02hdzgZVRdq6SsUFmj4QYlkNxq2tlZoB1Eaq7xrWTedSZUeat6H6wwMqis6MJsVv+lul4Kkeo9o3FzzneT+p06qe1ItP3QvRbGfHFU6LUw85yFsWnzBZ60VfZax2cw8ZT0ck8USTt79S3AgqRdbMOVaLaLTcjuAkk2fqb+i2x3mVFZi2PXAGCv+ji9frMqEimNXjLYAFFSpf6LgcliE8GMNNuuhQi9LBG7iljTTKR7IRqouAeZcl1s0huTeyEY5EKRpNybpTmAAsnFazBs7vo1ACz7IYSQOE4FVNQhKhrUemI9ssUN0JYGRv0kfx+ys9UXSJhl4LrYSGkLUhrX+mjkrjjv47eSGdkuNki7F+Opi3xhbZgbiadmDHnKuX+Db5pJtOkCIjVzqdp2dFZNKtmqbvB4Agn3syhxfwNJJZCyyzfspF7r0gTci2EiGPbDDLxEmUD539R+JH5Go8dAuRw9C5J0SrtcC/vXdiRzPem457M5Am+HH0PHcvV44snZr+1+WfdYpi3AgqQF0nDFrWLt2O4Pne4CiWYlkByrezyRI1TQttz4SXphmyuQAn0IpDLv4tCOLKSgotdqpKsFKRT2H8p4toXCq/UknarBiXtwXWx+cLZrQRKD7WJzq1VjDUwMUjcWzYGNzyOdMEKoc3ES29P6uzbkx38BwDBacBpVWQfpVCMipUhPKHa2pvsomaVguJ+RtiClcS2iwgz1upoIKxeb2AIEElPnYB06h8pzKxFm2iJW9o1GrEPnDGmRyKwbvK1CAoRI5rzBy2izeixcd2eZikEStpvJmXH9CFX8Qa3bVey4IQAiEEFE1ARTmC2Ea67EtLxYpoBb0NG1xlSIAazX5lW2L+lyLbT7dS3MXM8rA6L2V4DAWzQnHV+04m+AhNovq3jGxVf5MWC58CxIWiBpBp54MwCO2B4AYWxCOtkmTF/Nh3MEXAdUwDNNGan+UbcGUriXKtqAKKvyH2cGP/aJb0HqEoNkmOkbc1eB5JqwjeBHRGrmEmv5X3VcJzggF6HuFiQVgzTYhSKxXeuMNTh9zVKbwFp/NU6qIX3I5HYqNmPT/PTsc8376j/qgi8d193a2ZJOS7dKkYZrQbK1BcnHdbFJq3eB5FmQhDGyXWyZCEMgRMb5NC4f+jFk3LiDZfcCuH0Dc9zg424NKjdrVFSMVf9RcXhefFW4ej5W+B13SzMjAPvadNZwKAwlapJoWMuJVF+fPpZIkmg72d+ubOr1A5ahJQKd7jE/VZmqbScA+JmqhV4LM885EH7LX55KbJ///rzq2YuvguV3q2WTTlHPF89Wr/fAluBiG8FD37IRCdf1FNoOki8ghIPTsglRnQ6uFjEVU0TZpG7by5LtlcXfTfWXjlQCyQSHCb3WGBLBENKJIIwosr05/15EPcUgqRNBtbLoIpBSzQAEIv9xzebnE6r4C8JIEGs+c/PjHnwhlG1B8jNWBgtPfAQG3sWWKzYDVMxZqPxvbsDpnxHWamhyBZJQvhHlgtiEjLUiPBEXyLAg2dqClMb97pi9x2eIElUWQ4i4ivnqoQn0SCNTIMmWz4f8+JlB456ocZI7kmj/725B46mPXRebqT4Lo3ocAMJYj3RshGH68VUeQtjEms8ByPodiWAYUeJakIwoKaZh8ab/uhH4dFCaEgvX5W2FF6nq+O3fJFR+P4bRTrTxkoKvhZkxZXZyAmZATZDNwDL/2mqVW8AVPe8ks3q22il0fgEfzu9eILIrW4CLTQuk4UqyWf0P1uHEq1TZ/Ob1kCmQ7BXdayB5VCqBZCaeJvXMHNrfPZ+yyi/AhMTH9URv7L3GkJSVCKLIjgJK7cueYzakDCsXRNcsKbfWUso6lnjqIkBiJ3bCCi3Gdg4g1VC/eRchL0ibrjFIg+tiE15GU3DgBVJW8KW5gXDlHwEIlLzgx2YESv6NYa1GdH6gNjK8N9G1aEVbQXoCqQwM10riaAuShxek3aeLrbTCfyw7Wwe1+/tQIVMphJHRl6/tsyEfQ+YN3nEiGEYUYTT77rUsweD1jXQFElX1rrUpReL9NQSmjFPxVU2nYMXuTh9DdCixU5vC2uRapYJhRHmNu0ZCteYx8RvYhnZYScBtSiwdSWp5cmAKMLqTqs7EPiRSFyGTCaS0EEYnCftUAg2hgq+FXuar+FyVTvHeR2SAaOMsaIzTfl0zpdv9BrNWYnzlyu7j3/0y2PgyrHlM+SXzEUdoC5JmEBEpV5iEqpGto4BmZFt2NW0jRw0kf/u6HeALQDb5abKGpQqhOanxhMK9FzqTVAJrwfXt54UX+JzLgoSyUHRrhuo0qyKG479L5QmVxD6NEX1uR8pZTGDih1iH/iL/4+fCtyC5AkkEQDL4af5Oh3JgBwfexZYZmxHdeA2hij+6bUcC/s3DcWM2DPtDdXEPuBYkN0ZDxlsRTqc7xjIwi+9ik44k9XmKuqY6Up+nsLYtdgd59zti9W4RElZAxYIZMRX8vgUIJKJd3IWxFUUZhlULqcRPsTb9CgBhNgGyuwXHbfNiyA/8CWFFbS3C3Ejs0eV0PlVG2R4g7GxLWORom+CelchN58LC+aqtjBUAVyAJITHNpUgpSAW/SSB1J8L5FPHeFQNfgNG16DaxL3VnliDWlOI8vy2m9TElX1mJNa3A/YGf+erccb16fwxlIQ5V3kqs+WxiTT8jXD2fYHQu0UWziL/Vw8TZ8or9yl6rZ2efj/onzJFrQdIxSMMVp1n9D1Ujhbrgyva0QHJaNvml9bNqILkYDTuq/0Yb0cafEqmZi2Gq9YNl9/dZ6EwKNROTBQgk0ZsFyRVIXS1IXpC2KKlGGAJrokWzqap8G+2L8j52j6SyXWxSuHJwsC1IbrVqMQgWpFxtR6S0ECLpx2ZIuw4Aw3RvCK5AwnAFW7zFT0sXgVIw3c+nGBakReligLG7Y+yychdid8e6FQMcejwXW98uMyndzzm6BQRq42Y5ZiBSQ+9iA9RNeuyx6XGIBKUnQuU5ldlB425bJGmH/cKITmq02sZcmy4GGfsia/dWVQxhiLTrX7r1wEJh1fLDxXH2gOq91WvRZQNfgBF8C1KKsJ+pKi1VsoVNH/VjhwqZiPv18qJN56pzcMsHlDX8V1ZWYM7xSwlrnlCPRSBdPbuv424BFiQtkIYpwhNI4Row3RlpZ7pYpLNOFYF07HpEpEum1KI5OG/9DsdWIifRcbwf8CclWTWG/DTZrhiu2yDWnPeYZW8xSD0JJK8hrxsUCdDoZtmJ1OK8j93jmNz2J37pgaGKQcJ1X4UG3oKUGXzpXdyaP12fVfHXYXT2RiFXZPsCqRVwrXmhtEASRRBIg3KzGQCEJ5D6sCABSJRA8urxjHS6CiRDrizSSEBu+CDruVXZ2t2y6GaNJpq+5v8OhFDf71DFAvd3cjGG8MpeuMkaXs/EhNsmybU0S0ciZZW/e7vsEESN26HAXkb7u+enf281VyGMps2usO255VMi7dKVJaokAW0f59okL2STmlhLaRJrnE2i8xD3uXLLJ2N7EGv6ac/jf/unbtkSA77d3Gv17Cx0DJJmsPCqWIuSaqQ1Sln7Y2kLknSzShyxTTeVm9oE1torsZ0GMFsIld9JsPRRtT+RX10NaVSBg59Nl9+Ye55xS+G62FLZLjYh1P5FaY2/bF1oDCTANJcj21sQZZV5j6EbrivNj0EyAsr0O8guNuEJpPDg1EHKLOjnfZaZsRkp80jfxK3G4VqQrHJlGEm2Zo/RcmfLztAGaQ/vDvLudyQPC5If2xXbQixIMbehsVOGMNpV0dl4FBGK9LHlINCSbT1x2jZijJmUtUy4bZFkopx420+AdOB1sOwRoo2zSHYeTqTmGhynEikbMM2P0g1i3SbNgqTvoiuvqgRT9XJLfPEVwsHHADDEcmSb7Vb2tonUXEu46jcIweYVt5WdICCZIZCo2gk6QcSW5L+fLjgtazAAaY8CDDrWLSAwaTJCqOt+IPwuVduOyt2UuG0efHSd2lHNXsrV1jVwu69mtSNYZWgL0jDFt6xEqiDkBmbH3dmPI3FWKwuSZJusmYp3w4k2zsIMqB93uOpmP+BSSjO/uhqWK0oSzfkPOg8LksjojSbjUYTh1h4pTwukaKAEx1Zpuvbyd/I/fg6E52LzLUhW9lgHCS8DSIQHJ80/s6BfJl6/MKOsizArca2QlmsZTLWCO8MWobK0i00OrQUpqxigOyOv2rYmdzHAIccN0u4rzR+QwrUgxbcMgYR7Ho6cgHRU/ImzrjhuNhHt4l7qyGFSdDxBp77fqtCi+q1LCcnOw7DCrwJgp/b1m0j7n5dbIFVKy7dmStcCL2UAU/wHq+V3SGkgjBjCFU7JzsPUGLvEAELuiWev5+lakJIiXTdO1O8CgOH034JEq5pYO67bPVz5e4SQSLfHoKoHJXOPX9pQu59aMGq/9D53v0xZkrpUz85iC7AgaYE0TPEquIqyGgi58STxZ/1YDblWCSS7ZUJWrEbmDSfZuX/WPpOdB9D86YYsV0yPdTA8gZQswGXQm0Bys6RkRhq5bHNLGUjRzUpkm7up19a+k//xcw3J8VxsXdL8BzEGSToOCGWdEZHBEUiZBf3KvldG6TdLKftemR+b4Uw4K2t1Uaa+Q2mB1Oa7IESoDOEFYco4Q0nXDvIq80jdqIrdQV4IV1znk7bvtZRJtPa+3gjBtyCJchypYgLlxqHPZAMwbGU98Wqpyc7Gbut4MX+eQPJaaqibP5SO/j5W+D8ApNqmI+Pq+26sv0PtwHX9S3u0f33EVELMSY3xwxKclKo5ZwaWq+PUzEuPISMGEPIv6JhGXTNSRlqQG+NcgWSuRnb2T3zLDtW0Wjqjurjl15HsPBAhehn/1DmorBZUgchMclXP9o7pSOxNSjw5Hc7ANfQdYrRAGoZYdtIve2+U1yJKXAuSHfVnN0ZAZZXYqYlZsRpZN5zm/+c/ltKkfc1DannGbL3HQmfBKvU/VbhAypkWnaOVhWxrdMdWgTCyC47Jkt3Vg+Z38z9+LrwYJLpYkLoW3RxIYp2++VqUDJJAcvGCOYO7BQlMCvifpagck71emWtBCrpVn1Ob0gIgUooMeBakoXWxde8g775vIlW8DvL+Qd3vcz4WJC9mL7FlWZAQZUhTxQTK5uVDPgwZ7UAYKv7JlnuphdHuFiS/b2SwIksEeHWOzMAaAqXq+peK7Ysw3Sa2UXei5Fq2pQz510cr+Im77UrfmukkVUKMWfKZyv4qedYfQ7ztxM0qbuu5vDNdbEblKBxb/XbtLz4saH8+nUogGaENWZbZcPV8AiUvYKfU5MlOTOo+fjsOTW6RyVFf7ukIWSQ+TNByYwvJD9V7m/wgScuNLSQ+HOTivIOAFkjDkIjtmXsNKC2HUnf2b5f4wsYMqcJlVujVrMA6MuK1rfAb7n66u9Xi8Yt6760UctuNuHWK8sON98lRWM+LQcpsZeHPBDOCIf3Xaqeq43cuJvFeguTyZP9mIXYXF5tn3ZKD92P1ZnpSCgiX9LH24CCqG7KfV7rfIVcgYa9LvxYpR1iuC3SIXWxdA87tpBp3ouNrg9POIU+k40ABQdqYrhBObiECyTsPoxwZnKQety8f8mHYX3zo9hmsRgZVZi6xHBYkoSxeke3+kSUCYo1XkOg43F1H/SatyPNYQdVhILHxyyog27suSSVOlDXTc0GlW5vYSVVzLlh9D5GauThOWsykogdvVoVtzy2f6BLz5gg3k21dPzPZ4m7sarDUd8tnxfi1uNZmGe4+/qa3VdZaqA7KctTb60LiwwQd93dklT4AkG2Sjvs7RpxIKviqs3LlSoQQjB+v2lW89tpr3HXXXey6666cccYZAz7ArZGw64aSshLDMKFc3dyEsSkrEBcgVHFvVmAdEr/6bNfZgh8EG59JxXkVGNacHscgQlXqgZ2/BcnP+jFzfK3MiAr6zqyz0+m62KjKWnWnxN2IZiXQTOMD2h5oBcz+1RjxBJLRNYttEF1sXqCuLO1mGRsqRFkVUgYRIqHiJtz+eoTcSsPSbeIpLUQwBAEv+HZoBVLXgHM1y19DqvMQ7PheQ95B3sexfWtWXi42s0zND7YUgeRawqRZDqUTIQEiWoRaSGuV1cRhJwjWqLiWRLYFSTo2Xh8zszZEquRy4uvPx3MNday9C3PiFExrAyCJ1PyKVGwvrPDbCKeD1IoUIuVZkNREQVkzk/5vKFw9P8uCZLCJZPnpBNr+4I9DmBv6XWE70y2f6BKiIEM7QfI/yKZ+CqSEyn52yr5O4NBLqTxY4rxokth0GfH4hZjS7dMmnO7j3/iK+j/qy/i+uB7PQdL5eGev63Q+0Ulgp0CR65vlT8EC6dRTT+WMM87ge9/7HmvXruWII45gypQp3Hnnnaxdu5bZs2cPxji3KsKOJ5CqADCq3MaL5ibAIdlxtC92ujZupJM+M5wCDcFexZEahNs+QQ6Qiy1HM1QZdQWSUZ21aiRWRjB5C9JRVWSNwGc4ye1dV2LPxS1z4jbQlV2DtJ3BC/qVUc+CVEqxLgPCMHCceoT5BdKpwv5CYm0j041VDdeCJF0Ll+tiE0MskCBd7Te+/nyC4n61UKQGpZ1D3iTTM10R6NvF5vfcS20hAsk7D7McUT4JmoDk0AdpyyaV4i9DO0GwVlWmSHap7t/Znhaze16FFS6h8mBJ9Lko8RfjgEXH2rspH3eEG4wcJBXbXwkko0OFJWRYkLJcdF0ml7ZUlm1pByG0E5n9ia36JiLfruyfmE8mEEK5/RNd68iV7wSNQGf/MtlEyv2tl7h1oQyBedBVmEDAkSQX7wPvgxH4hIrTAxglc/wK4caylzABWfvlPq9lXvxrb3gJFwVl9xWRggXSe++9x7777gvAfffdx2677cZLL73EE088wU9+8hMtkAaAkN3p9lStAtLuESFshNFMuFa9x5mNGz0BJMoElpO+4fgBdlDYDafEPTYFCCQvbSFX76pcrSzi7oXOSAdoS0cSWvULomX1/kXJDL5HsOyB/qV9O54FKZD9fzCz2LzUYUr7WHGQWDRH1Q5K1WOYXyDtWtr/2o4oF5Ru+zcAP8bNF3FeDBJDG6QN+NV+Kw+WOHeoz8sYJ6n8Zj9vNgOATMbTN4R8LEhuxXRhb2ECySqD2kmwAgxZhCw2TxSU75x+j1PZLjbZ3oxAZZERdIW+IQhMDrgCCQIlT/niSIgEZtCNbRSdKr5tnRvzGV5BpOTJnstnVJ4FLWCIz5CbXgDAsWswzEaE2Nhvy4iMtvnft64WJGqUQDKSS7ttlw/C3qBaUpWO7v6aIQjsvg3OoloMcxPy1fNIMd6vEF6xzSsQgI7ndie8YU6v1vt8EymKkXDRXwoWSMlkklBI3eyefPJJvvGNbwCw8847s2bNmoEd3VZKULop+UYVACIYwnEqMIxWwtXX+oGB0Y3XIszGbo0bMdI3nNSKVJc+QXPyGoOIuFYdUYhA6qW5p9fKIodAklbagmSvtAklQ24/sUexwu9SOvp0hLD7V2PEE0he4KMvkAYxbdyvhVMcgeQVXkyJ7QGQtiqhELKuJdB+W9a6nogTQdeSJIrXrFZ1kHcFUsgurhk+lRErkctl3JWAa0HaYgSS12y5HKNOuZWEsRaZiCuX7BBhJJeom3vtrsik675xsi1IstOtgeSUYxjpsNrMZrc9WYSE1aGa3S5xr0uGqeJ0ephcmlUpZLNAGO2Y9pNggB0+DiP5F0QquxVUIfhWZyeM7OKWNxp2hU/AEJ8QXxTFqLAK6vkmcAsMl9fnft0wsI3dMHgOZ+N6rOSfCFkJ4uZ3MQNfIKWBKZ/DWvPrXq33+SZSFCXhop8ULJCmTJnCLbfcwrHHHsvChQu56ipVTXP16tXU1hbDFr7lEXKUL1qaaeEg5SiglXDVrSqmRDgkO7+Kk5oEkDNWw8tw6g9ezIoQrUjHQRh9x/OL3npX5eoWn3AvdIEqf5HsSF+UEu0nYoXfRQi7mysx71lIDxYkMZgxSAnXgiQGvkhkn8fOUXjRcWrSboOms4lU/y5jC1cYeTPvYliQsnA/r0FuBdP3MDwLWzC/774X/C7be19xhOBbwgLliJoxfq+5+GufYozffvOasuaBdCSJTzsJGCqTjDE7IzYtV2OTXSxIbjskSUXW8t4KqpqhtwmWPoYVeVudhxsb6VjTCBw6p9fJpfPenxHmF8o954Rh3NGw/C/KUtNf3N53UnbviiA32kgZQBhRYo8sxUlNyDseU1271biMqoae14vsBrHnSDWOJZlUgdpGQFnvHHuUX+agN+u9J0h7c7MVI+Ficyg4i+2aa67h97//PYcccginnHIKe+yxBwAPPvig73rTbB4Br8u6VeUv8/qx2c5uCOFgJ7bzxZFXHHAgYzVEmTq2EA505nvR9yoP5xBlltfrK+MGnGpW/wNpIShK0z88M/wakO1KTI8vz4uzL5A8C5JXPG4Qb8Beqrcx9AIpuw7WAQAESh7PmkFnIoVrQXKDtIURczO4ioPn+hv8VjC9I1PeOPKpog3SbSnj1eMZ8bjnYcSexn7uSpyUSvVP/Gcp7X9tL7hPnnQkyeXJPjNSjfevZM/Wh+i8uZPovR+qJAMnTPvfa5Er/w6AoEsMUtSrPZUtkKDngqrJxPFqX16pCy95xL1O5CyfsUj1DLQT6WyuVHwasTfcOnViWV7vRS68gpVd3fKqK8IvkLY6NyOgCkbm24ZHtjUhhPotiercFiQAatR93LQ+8MschMr/4S5bn1fRVmEISo7qPWu35MiSEROgDf2wIB1yyCFs3LiR1tZWqqvTN7YzzjiDkpLipDRvaQRwBYmVri6NoQSSgSrWZoeOoPSbpQW7zvImFFGzFpFEtjchyrpffLrTS90Yz8WWkUYuUu6FLpw+T3OCSTwQp7LsRkJl/wLASe5Aov1b3V2J+eBZIrzAR/e/GMwbcNKdDRZBIGVa1jo3/I6KbaYhhJNhgXNcwemuZ6jfrMgsR5CMQzFaSgB4N6wiCyQvSFsSyCvQ3gt+31IsSDjtYIBMqOavNm72VmAFxMg/YWLRnIK63jubBBPNPxG16rGDqhaandyekPVrAm23qm2Npmyrdsx1sRk5rlFTc4cbsKYaPgNH1isrgTdxM3p2H6Zd13uml0X3I2D9w30Wzdva3o24Oykmfc3IZQ02g59ghd/KOx5TNrvZqk5Fr21ixNg9YLWK9wRJrOkCwtVzCy7aGtwlCCdAx4MdvjEYlOWo5MgS9foIol91kKSUvPnmm/z+97+nrU0p32AwqAXSAOELJC/VHpABL9XfrdC83de6FQccSIRhIB231H5HUx9rexv1YkHyWlkkoukZpNdvLuM8hSGIj7uUSM1cYi3/q5aZm/IrbpkL2SXN3xiCViOuQCqGBSnTshYsv88XR2kLnAFOWeYG7srp9gYyXpw4JOk46Rl9kV1shVqQcFvKCLYMgSRcoRdbfapqWxRUEzPDWllQU9ZCGhFLR9Kx+EI63d95sNJLobfd46nCt0IkIJZOJ5deOyTR8ySum0XIt/i5wsS3IIVzbp/ZwskKv+MvN6wvCFf9n3uMFLK9n9WuPQuSSN9Ds6zBUdXmI1L784La8MgWlcHmyLpej29O3B0pTQyzCWGuoaT+TFccFV60NbhLEHOsiqMKfinoV/gfaeII+mFB+vzzz/na177GihUriMfjHHHEEZSXl3PNNdcQj8e55ZZbBmOcWxWWlzsaqvZnYKlNNQS8SaoTouPlvSnr6D2rYHNRPv2NyM7mvNZPxyBlCKRFavyJD8YSqAESUT+jqqJWBWASqc7aTzTcTrLmMuIbvkOYPyKMRsDuX9q352Lziq/54m0wBZKXIj30AimfwFQpyxF4dW5ck74V8GPbKJJAIpXxmfTW42ko8OpnkV8Mn18+QWwZrUa874cTLSUZn4kVfplAyXOEq3+FEE5eCROFNiL2BEGcmQjStd6s0Ifu8X5KuPq3yu3WuhFRkt3eRZoFNLV2m0j7gtazIJm5BZIvVpiJEVhCqPwfSAmhinuINs4iXHUDwugk+fEqQnsX3lxbJDwLUtrFlmmpibf8iEDkP12swd3X64psV4HjUvQukEQogu3sgGl+RKT2SkLlyp0Za74AZLgg672UEme9ctOH9gphjR05MUddKdiCdN5557H33nvT1NREJJI22X3zm9/kqaeeGtDBba2Y3kU2XOPPwExzkf96KrYfIeumvHzQm4drQYoWZkHKdLF547cCj7vrqAtRyLoWw3SDGkuyBdKS4Clw0GWUn+lmzwhJ6fExv89YQYKwqwXJb1Y7iC4c23ORDn0WmxeY2jXmKNMC57uxAAw3BskwwC2SJxNFEkiJjPi0YrvYUp6LLb9ZryhxZy+io6gxXAOH6yZ2rY2JtlMBCrpBZ1pAYi2nuY2I63q0gGTuJ9H2baT7NN1EVfgZmU7bxvSBEm6mrZVPGIDCsyCpwkqks2t7EEiZY4tumuv3ePPeC68dCE39y2ST7qQq0y2faakxQ2+r1yWFxWN2rHV30Ev8kYsTmAJAqPw+91gG8dYfdrPeA73Gk8kOiexUy8y64hTKHSgKlnYvvPACL7/8MsFg9oVj0qRJrFq1asAGtjXjC6RQJe2vZc/AQH1x+1UTqEC8MgPEmvte13EQXVxsuWaQQsT8GaR0gggj0c2C5GEEgzhONYbRhFnaiDDGF3wOwhNIbvFK4VmSBtPFZntB9oPbh60nMgsv5kpVNlb/IWPltElfEkLQCYmhLxYJIJOxdLxPsQWSb0EqTCAJIZGxDhjkHnyDjTCyBZIVeV49z7hBZ9Zey0WmqPD211tGauZ+Sup/4rcG8ZqoxppmIp0qYC10ZGSyJd3rZQECybcgeU2lZe8xSJljC1Us8MWR915IexQEVoDsZ6p/wnPLpydVWdbg6ptw7AoMs5V468n5W3SirgUp0IsFaZGy8iebphCo/Lu/ONlxNKHyu1HW+1kqS1raqll6l3iykqPS8UX2OmX9NWoMRGDkBGTnomCB5DgOtt3d/P3FF19QXj6yLwrDBcMVSE6sMm3WtT4lVHEvAMHSp/tXE6hApFEJEpz1jSSXJ3tP7bUzbmhuYb0ss7S1nFDF3Zihd7HC7xBtvJhIzTXqPDt6Nkmr8gZNyLZ1Pa7T+0lkp/mn+8QNgQUpMPQuNqDHwFQvmD915wsYqGadWW5AGQGa0vVmhposC1KR0/xThbnYCJf4LkrZ0TroTYoHE5mI+7FgoqSCkDWfUMWd7othok0X5HWD9kWF6CBYqhIueipuC2CONyECofAvCURUBmv72ruxQu9mlKyoVpWdOzNM57YrkIL5u7ZExI1BMjqRqVTagmTlDmTuy3WdSqiaY4a5Mef20sn1W8y4lrp1p2TG77FrmQIjsJRQ+f04qYm+RafPNjwJ97oZ6l4k0j+0a+W3jRO7jLnCP9eKGRWklv6Mjvs7yJx0AX6fNfsgm/CBYez1Sh+Yo0e29Qj6IZCOPPJIrr/+em691c0oEIL29nYuv/xyjjnmmAEf4NaIYbgmY5m2rMSaZhEsvzfLrOsx4JVJF6kZhdNWBmXgrGmi040b6rH2Rkb8iHAFUrYP/ceEKu72q9nGW/7XF0jS7kUgiTpgKbT3s8aITIAgHYPkBmmLQYxBEo4rkIJFEkjeOHqqg2VUpK9xgYyYB9zZc7JIFqRUWiANapZhHkjbHYvI04JkGKqGjWhDRluBcYM3uEFGdrb6lrzSqX/EWjuXaKNqcCqMGPGWHwJu7bUxAVIrLs154/dERaTkbIShfm92fC+SnUdlC6yWX5B6RtD+7vmEw/OJ1PxarZucjBV6B3B8QWDbbsPaaFogCa9fZCECKVPAxjrT2bW5MnDpvaaS916oBV2uU4vyzOJLuVZnM9stn9WGx/4jlN+PFX6Vjo4H8orHFEl3PJHcLrZcVn4AJ1VDqOJu/1wDbU6ffdZiz8eIvx3HrFHCyKzfCgXSr3/9a4466ih23XVXYrEYp556KkuXLmXUqFHcfffdgzHGrQoZjyEMFQMiqtPp72lxFMjbxN1fvBmFNFVdK2GqC1Bvqb1ZrRlcK03muAKlj/iP1fh/pbZzyjAqerkJmaNAguzsb5Xa7P5wYihajbgp0l5rhOGGtCrSMepWpohz4y+KJJBIDaMYJFu9QfnGIEE6+F3GRnagtux0g56dCNYok5RQN+iQ/WeEtQ7DWoUIOaQCB5NaFif6UjpzL/PGL6bOcUXFv9I7F7FufSHtRuFmuiUAGyc1CsPaiJ3YlkjNPBVK4LqHxboHVNPrWKM7RgnJFrBAxsuRTp7hBsFw2uIXbQMZBwHC7DkVvlfXNc9i8R+IZ1+n0ll8CWKkJ7XdrqV2boGUaQ1OvHowfAZW+A0qvl+CEZzT93naG9S1qHRMzpczrfyQFnqG1ZglBOOvx/vsswbKmpRqU7/drdKCNH78eN59913uueceFi1aRHt7Oz/60Y/4zne+kxW0rekfst394UuBtVMtory914ykgmoC5XP8XHFDRkuPmSc+mRlIASVCss3S87GTYzEDq0m0f4Nw1e/d41X2On4ZqFP1NKL9FEiuBcl3rVmD72LzUqRFkS1IPWKWpwVSILM0hyeQipTmnxn7VGSBJDwXW54WJACJK4ijI10guXWFZBki4wZt3zEOg3WE9lqPaYWw1j5HMr5/1rb+jV/ORi5PIuJt6exI8Cd/fuuOGknLMxf415t466kY1kakEyBY+pS65sVnUnleBYY1h+Q/mzE7F2F0PErqGYf2d8+nrKINLIh/GKHz45a8KkxnW/zSAkn2YEECenVdp574L2j8DyTSFqSu11JhNBPddCXh6uu6XUuz3PI55m7CEAT32Qu5rBxhtGEvfxdjx336+igRbkyUKOvBgpRh5Vf3lmtzxok5GwtPPDBG9auK0LCiX3dWy7L47ne/O9Bj0QCivRkAKSswLKtPs26fPugCyZxRmKE3CJYuJFh+Z9+pvd6MW5oIt5dQV7O0MBoxq36PkxpDvPUkFVMlEr3P+IKuQErk9u33hRek7VmQ/JYjgxmDhDsbDA1TgZQZPJ5h5ZLCzWJLDQcLUpHrIHlp36KA2D63ptRItyB5vQQl2fEwBMaDfAvBF7QvuoCQlcyZvp/sPJD2l8+Hl9oJlk+gtN5BOqUIowPDXE/Z98r8eLjk8iSyrb2bBUMYyaxrnv2FjTHJQNUKARJR3zIjDM/iVU4olGcBS3AbNbchY20I18UmrNxZbJnkdF2X1EMjWe1Gsq6lwfcIV91MqPL3Oa+lws98zS2Q1NgsUsZ0LJ5ELn8B8hBIhlDjERW5Y5Ayrfzh6vm+OOrqpeiPUrCbbazakZviD/047b/85S+9vv7973+/34PRpFPqpawC+s5IGsj2ItA11fa7BEsX5pXaK5O5C+tljt+S9wO/xwq/QbzzLELc22NhNp9wHbSDSG6ei83vD+dbkAYxBskTSOHh6WIjmM72EcEMk77wLEhFCtLObBDLcKmDVIAFSbifd3yEtxvxmy1nC3wZGgcxoGllN7dMuHoeQkiSnQcSKHmBcJW6uQbdejp2Yjus8CIk2RMrpy1tmXBS6Zt4OrXffe5db8I10AJ2bDyJ2LFEaubi2MoKGiz7B+HKP+ad3eu39Yh3gNeDMNC3QMqFKFVjF06GBcm/RiYxQ++q14WT89yE064sWMFS6MWAKyv2h9YnofFl4MJexyTjUYShPktRndvFlk/dtFjTTIxqo88+a12J/iOKOE6MyAKRHgULpPPOOy/reTKZpLOz06+krQVS/5GOxFmtgg+lrFL+9D4ykgaazBmFFXnKHUseqb2+i63LVyrTh/72AbAEzNB7BMY1wSZwjD16LcYlStyLpt0/C5Jf734og7SF62IbAQKJXAKpWBYkO8OCNKgWvjywC3exYZSpOUyyvc9VhzMy4VV17vL9LZkAMRCJL/xF8dYfKPeRkEhp0b7mX+mbq2jDCr8EgBVWddyEkOq69p6q4db5prqfGIFllIxS15auqf2Qcb2JjHL309QtQNoTR/ln93oCqR2l/Oi3QKJCubAESiBJR2K3K5EfLPs7ZmCFv2rXc6MEkB0qmaSPzFcx4SvwPpjJl4kvimFUmD1mF8umdQjccgRub81u+8sz+Nzp+DklR5W4WWz5IWMqu40TGLEiqWCB1NTUvWjg0qVLOfPMM5k5c2aOLTR9siid6RCQm2A0yEQVLTe2ZAU8DkYqf1cyZxThSs9aaBJtnNl73JNXWE/m7l0lDEFwr51wPhiFYW7E2PSsWt+s6n1AZW6LFdlPF5snkDwL0iCn+UvHAa+2SmSYCqRAWiDZrWFMN7BVGmEVAGsXSSAlM7PYipzm7wkkowALklGuDF+JEe5ii7vj79IqR5Rto9xIMl3vLlJzVfp1tyVFt8wuINp0PpHq6xEiQWJ5DMMNXg6HE8Si51PW8A2EkcSxKzHMFpKdB+a83ogS5WIzzCZ3qD/IqBBfWHav9FyiiXYM34LUSwxSLxhVykIjjA2knp5N+6ILXWuLTaT2UnUcJ+w2g7ayrDOdD3ZSUatauajM1x6sp4vmwPoEUloY5hpij3yMk5rQc1+75rUYgHRGYfTSH643L4UZMYEETpuT7rNWgEgC6Hyik8BOg9MSa7AZEAfhDjvswLx58/jud7/LRx99NBC73KrIzHSQdhWggpfzbgg5gGTPKC72/dLx1u8Bose4J5mHS0IYBra5NwaPYTrPqewKq6r38bi+c29mVjjZLja/UOQACaSu9U3MUTEMtxHssKuFs0gJ8fh7uxJwXbOxF0yiryshbsilamGqSEHa9jDKYnNb1MhCLEiWK5CSI9zF5lmQjC7f3+oJsAKEWOVPovz6SEAqvmOXmKR5rmXJJNY0k0j19QA4TR10ZgQvB8vuxAyswXFMDLOlm5sn63pTqgSSMJRA8sVHL/WVesQryphow3OxiR7qIPWFqHQnckJirb2KkJUixkxK6k/HsBpxHAvDcOOcjBTJ6H5ZAtIw3RCCUCmQW2CnNoG1YS52qgEzsAYz/CpO+4Sc9wnpSOyVa7AAKet6z+7rLfh8xWxi77VjuEH21qTC70RetfShmOAPNAN237Usi9WrVw/U7rYaumY6JDsPBMCwVhAse3DQq2XnInNGEbL/grDWYFhreo97sntwsXVBVuwLrY/5lXUJ5q6i7SE807XRhEwlEVahPzI3SNvLTnG396t+95dFueubGBUbqPSK1oaHV/PmdNuXdIKFdEozMo/2Umb+IlmQRFYM0vAQSOmg/jzwivylRrhA8nsJZgsko3ai+m+soWzqdVhr55KM7kMg8rpa7oqbSM1crPDzCG+iIGzCVb/z9yNbO5BtFW4MkyRSM8/dr52dWh7vfr0xyl0Xm9lEuHo+ofL7AdUKxUltU1jPMKNMWUyT7Qi3BVJm0+ZCEMEQjlOJYbQQaz7dH0cg8pJ7bim32OPHhMr/jhV6k2jTBVjhFwiUvIhjl2KYHSoGKYdAypVdbIVfwQx8lp0RV3M5dqOqKRVgFaF6cBKjaLux7+y+XMHnRrmyPDltjuqx1uhmI7rVszse7vC9k70x4LX6hoiCBdKDDz6Y9VxKyZo1a/jd737HAQccMGAD21roqQ6FqjY9+NWyc5KV2jsWgzWE9thA8IjKnuOe8uxdJcbtl/37D/UhkKq8mAOJ07wRMaohv3PwthddXWzeV37zbsA91jcJ/AbAbaMyfOqA9FQQLlT5JyLV16ksw8AmrPK3iyaQZNZxh4lAEgW4XDzXpT3CBZIn8Lo0Wxajxrop+0nMknZSDZfDshf91w1rHfG2U7DCLxIoeQEAJ1VPvPVHbmshC2GkEFYUUO9VrHmGL5C6usgiR0awdp+TPYYK73qgvsd2YhJmcDmp2DQSbaep7fLN7s0QSAjXutPfGCRAOnVgtJDs+AbSGdXNxajOzSEQeQ7D2ki46kaEsN1mtzeqfbTm7t+Y3Sz3I0LlDxCquB0hZPZ9YqUk0Hql8ka4CTNOqr7f3gijwnXNJUHGJfYmt0p2jalcbmHouKNvl9tA1+obKgoWSMcff3zWcyEEdXV1HHbYYfz6178eqHFtNXSvQ3GNm+lgDm617DxQqb3jQL6JYazp3YLlW5B6F3Hm9l9GfiD82aWTqOzV/CusAI5dg2E2IlvXQ4ECqUcX22ZYkLrVNzHXk4oegBlcSrjqFnedasi3aN0QkHmBFUYL4ar/A/DFUaxpJpGaK9TKdpGa1Q5DF1tBFqSAa3EZ8QLJSznPtiAJK4DjjEGYq7ErT8D68v7YX0wC8FPDS3eYQyDxAsnOAwiUvEQqemC3mCQjmP6cs5qudnGRedaLLMIl/rFSVedibrodADs+DSgwu9csUzo80YoQ7vetnxYkUK4s+ARhbujiYjSINc521zKIbvolpaN/nFFv6P+lg6FTua3O2c1yryJU/oDflSDzPtHx4YWEIinljYiqMgBG4FO/Knah3ggREIiwQMYksjVtQTJq1GcTmBjoM7tNVIgBrdU3lPSrF5tm4Oheh8JBSqtbwGOxFLif2tvxRe8r5tO7atEc7E0gkjtgBj8GIPFRKdGlGebfXX7efQyMAhqRbf1I9fd6SgWyXWybY6HIafWr/BMAsdbvEq64A+mUYg8jv3v2BXY2ocr/69a2Rkr3PXLiuXYx+GQIJDESLUhuTSnhjGyBJDyBl6MSvCPGY7Aa2bwSGevEMFR2Vso8loDzAIa9UlmWPnscgGRUhQzE7YsI2b/DMNsQlbGMJqyu5cQpIdZ8nrI0AYlUbheZMAwcpxphroPyvRHNNyKdEkJHT8OoCBaW3etVrU6mE0BEqP/FjqWprFuGuZFw9dUZLkYnW/gFF6v1/ezgjFik6gpyhVtmN8tNx311FZUyJonFsgVpIPLqZnkjjAoDO2bjtDnYjWkLEqhJdF/ZbSVHlgybiWKhjPxSlyMcL2sss1J186frfV9+uHp+cRV4RPWUEvE+4sucvi1IfgsTJ33TkbYXjK7SfnOh+rEBBQokmUohhJsR0qUOkhBSNansB1lWv+Yfp5dLg2T7N9zHpcPK754txG/o1o0cQEr35uAMAwtSsesgeVl0hViQQq6LzevFN1LxBFKgu0CS1nj1oHUF9hcfKde3UwVjv65eT4I5/adYoTcAsPY+krLvlVF5TiUSN+Ei2UnZHtcTqZlLrOV/1XayhFjTTKKNsyipmUvp7tf1eFOVKLe8XP1vNVz2JDS1lMCkAjOl3D6EItWYXrYZFiRCde5uHyRSo1opOamxWdfycPV8ItW/U+5GAbHmn/i956QUGJNyu9i63ie85riJjsP9fZOh7WJNP0W6lx8prc3yRohy9Z46rU43CxKoFP7SE0r99fztKgSlJ5SO2BR/yNOCdOGFvRekyuS6667r92C2RvKpQzHQ1bILGl/ZBGgCkqt6Xc/LYpM9VB7uKQYmWPYPwlV/8M2/Jfvn+PF6/dgKbTdip91ongVJmIHs163ChWem2IjUzk4vFw6hir8CKvh5OPnd8ykI52ctOcWqg5QZpF3kNH+nS/2sPBCeBUmOcIEkVdFCkVkvyyM0XhUy7FwJ61TGssOOGNseAF+AKd4ltfhxAiKFY08guP9OCD/F3L2DJ6J+Ikhy4wGE+SPSUa6leOoi1tvrGV/b801cCpXJZiYWggmyrO+K0jnx+hDam8BQE5zCk0AyCNVDEgIlL5KMTSMQfpNkx5HdXIzRxlkESv+FFfqAZOdhAMo1LwMYVu64xa73CZBYNfOQTm06ML7cov2dC9Sxame5k6Du5RcKvS5lBmr7FqTa7HEGdwkS2CmQo1bf8LkG9oe87g5vv/12XjsTYmS/GcViqKtlF0TlOFiZXfskF8ITIz2kRWfFwJjrCFfeBuCLI8/8a6/sbjmQgVFuP7YCU/2TGTfcQNdK2kAyCf0wqeeuFaUIlj3kDrp0WPnd8xHiKesYSOG3XRhynGFUKFIWXgcJt+6VYIS72GSbquocylGmomSCEkjxL5BNHwIggzthjt0ex67FMDchPrkeBNihQwhk1N+RQokgmeyAaSoRJFz5GHwEiBLKvleGbJA899jXGTvlGHpMcTCUBckwXddY/fT+najbK1FI14IkN8N6BBCph3awnZ0wTHWtSnYeCbguxrKX1eP1F2EmF0PoA8zApyRSpxLmFvqK38y8T5j2E2pZ6C3aYreo+0SNRCxzr0tVtwKQih5MKrb/ZvXu9AK17bW2X3DcqO7ufMrZgmWEk9c79cwzzwz2OLZuMrLGYp/GePvFt9nrK3sR3jZcNMuRh6iZAIAh1iAdJ2M2mE26DlIPFqTMGJiN8whV3NYtBgZAduSYOQbr3X5sBbrYkvF00cpuzWpB2smcRS37IlNseGnOnrtK1WORGOFVw2721JcQF+1vQRsgi+ViSwvaYRODVIBAEmHP4rIFWJDIPJ8MKibAJhCpL5Dt7u2jfCe3xtk+GDyGJVRmmxx9aPa2rkASmc2Qk27siqFcZMlk35ZDadVk6Wdz2/3yO68uiIAnaN3uBYT6dT3w9+dW/ReyCSOwHumECBx6FKEar/fcswBUOpLk37YDG6zRnxOc8mVYDI7M3S/NJ+M+kXx/f1gMRuATKn4IRsUcAMoa56hstfiOWKGPVZB8s/IA9dcb4VmQUp+rN92oNBDW8Lq2DRY6BmkYIQyBNdFiQ/UGrInDwzxp1CmBJIwosq2x5xX9oNbcmjs7BuY3OWNgAERpjnOOuEXYMoIp88Kv7m0iPFeamTE+u/9uHKsWFYyK6xpoOU2N0Q3MxAggneETgwSoC+yhc6g8t5Ky75VR+s1SPz7EOnQOsuZktZ4sUpC2M3zS/L0mx5j5B2mLkkr13xjhFiRP4OVolSOq3AmTXIWRXKIe8y6pZ+aQbJmWtW70nemknpmjKkADXisbmUwH9IqE6vsnRe7Ym1xIr2Et4NijYdSEvLfNwm0mLYyBsSDJEnWd8oo+2uJAQl+q6RYbJQyBqNtBressg4QnqPN7D4QhCO4+Hscer2LAlr/pv2bVQmrMZRiWGkMyehCgJkGphsv75Y3wBJKMqetZZvzRlk6/fABvvPEG9913HytWrCCRSGS99o9//GNABqYZHohQJJ1mv/ELqByVe0U/SDv3jDufGJi4fRHmBBPe7zIGvx9bYS62XA10hWEowSRs5WLrL+5szvlCtRgwapLYsR0wg6oadbJ5P2J5FGcrBj2ZwqVbTFMUy4KU1V5kmLjYzAJcBp6LTSSQiTgi2L+2FcVGCLfBaQ4LkjFKFYsUxlqEdBtrO3VYa67AFqf469mJ7Qmad2TV3pFGiao7lFGpXXp960QeRVUXqeKs9toKUFqUVGwanb9r69/vzBNIXop/AY2Jc40ruvgoAhmXx0TzEfDMnJzjErU7wloQ9jIcVyB5rU/yxbG+hCG/QK5+DaZ+VS2cOgc+fhVj7VVIp5zQ1/YvPLuvC6Iie9LqZbBtDRQsBe+55x72339/PvzwQx544AGSySTvv/8+Tz/9NJWVlYMxRk2RkahMNtm0sueV/Bik3DcUzy2VKY4AP3MlUjOXsqnX57aa9bcfW0+lB6R6Lu1scV8oTtN6DHMdAEHndpxUumO2lKV9ZucNN0TAvUkVzYKUcVwxTARSIS620rSgkJ0jsx9bVi/Bku4CSdSOUf0WhaOsytKifekcoo2zCFXcnc6ccsr933r7ovOVNdVwv1+pzvQOXWuSNPoWB14WrGm97i+zY1/q/+8snH1MSf8sSN64Aua9WcsNsbzHcRmjd1T/jc8h1uwuzN+KBiAr91YPmt/MXr7sSQBs4yv9y+7rOtYu9aiM2q3HglTwmV599dX85je/4aGHHiIYDHLDDTfw0UcfceKJJ7LNNtsMxhg1RUaaqjijbO1NIPV9Q/HcUvHURVnL+zL/inKvU3Z/XWxdx+QaTu3Nuwk7K1U9Ezs5UWWmuNWDQQVPdrtBDHf8KsLFD9IWxc5ic61ZogAXG4aFdNR7mPy0cWR85l2JdSLcvls5BZJhIp10sVbH3hbZZvkTHS9Pxwq/7U+EvF5cmG5CRKZASrnuNrN3ceBlwUYbZxEsfcxfbgSW9ft3JroFoRdu8cscV6T6BqR0U+JTNYSrbu5xXKJ+vGpeK/5/e2ceJ0dZ5//3U9Xn3DNJJpncATnCEUCuDSigQBBdldUVV7NcuvhTEyFkN0BWMWFdGQFFFmVhYQmoyIqycggIRo4EljsBQoAkBAgJIZNrMnefVc/vj6qu7p7pyfTMdE/P8X2/XvPq6aqnqp+nj+pPf88ktLzlbuyfBUk1uIUgE2u8uSS2JGD3k84cxn263+vJ+ThhlaUUdEKPzPf2AOi3i+3dd9/lc5/7HACBQIDOzk6UUlx22WV8+tOf5uqrry74JIXSogNTnCDpzv1ksrlfKL2l+QP7bYromX9zuL1UjeNiM8zmfvVj08nUF262QNL4nWDM5OC+hPVOVyDFZ/dI5fWXrSpdq5iB4ne+wBSlcrENozpIbg8/7cvDgrQu3ZevalwFiijRlXuIrJ44LF2s+0N3taFwUt576yXoFIt0CkRa9kHedsdl/lOUSvRMvujQKDNHnS1PIO3fxZbVasO3xbNWpSpED+RzprpbkFT/LUi9tYoyfM37nZcyTCw9C5O3UV2vO1mDfYjE7hgHHA9vg2luIX7fv9D1wQ/QXTFqZj0PQHTjSRiB3C6+/pDYkMjM6SD6VJTYKzHKziob0TWO8qHfFqTa2lra2x0f9ZQpU1i/fj0ALS0tdHV17e9QYaQSclxsRPcjkFIWpP0JJJdUDEzgiEBe5l9VNd77ZaZb+mFF6tXF5vwuGKyLjVbnl58VPxRwviB0yn2X4wtiuKMCqZIHpXGxeYHRUHIXW2ouKo86SOm+fNeh7VRcS/uIc7FChmtQl/fMWF23nORTy7Eik71NVqcjkEK111PR8AVPHPVIvqhQaRdbZisbK08LUmYWbPMP3Po+g/ychbtbbAZgQerWKsq7Tml/n/PS5gEAGHqds8HshwVp3XLstb/ASjjnCMR/RjB4Hb7QK47r0y7Dbzw86Pdf/O24UyW72/R1u6bzvk7ibw/yGjrMyVsgpYTQKaecwsqVKwH4yle+wqWXXsrFF1/M1772NU4//fTizFIoLeVO9Vy1v2KRqSDt/tSNyRPl86FtJ3NFt/Uj1b/XBrquYLIHZ0FSUSea3I7PBlKtYvbzBTHccV1sSpXIxaaHUR2klIuvD4GU5WKpawTl/EgMVt018lysgI46AknrnhlsKSFoGOm2Q3biIC/Rwl/2rNsJoCl3JwCfK8CtjB/Sqf99+xdI2a027u49C7YfnzPVXSAZ/RdIPVtFaTdGK9HnvHT4QOdhDSfYvS+RmEn3rgSJrlMJ1zVSNuG7ANh22aDff9rWdD2+f6NH11+6Rsx7eyDk7WKbM2cOxx9/POeccw5f+cpXAPj+97+P3+/nueee48tf/jI/+MEPijZRoXSoqmmwA5S1n3YjqQykXtL8B4vTj20vum1n/gd5FqLCxyBp28bAtSCZs7NaxeTKzhtORSN7QwXcX/glE0hxUoVoUq1g1AAqnRcG973Th4utNxdLsOrekediBYg63gFNN/dTL5XwzeCLXrHUPjsB+Nz3l53DgtSHQMo3C7Y/nzPlD6B1EKVcYT4AF9ug5lV1EFnebF9+FqTcr4VBMn4AvsB7AJi+PYN+/6Xe2/udS9sIem8PgLwtSKtWreLwww+nsbGR2bNnc8EFF/B///d/XHnllTz00EP87Gc/o7a2dkCTuPnmm5k5cyahUIgTTzyRl156ab/jW1paWLBgAQ0NDQSDQQ4++GAeffRRb39jYyPHH388lZWV1NfXc84557Bx40Zv/5YtW1BK5fz7wx/+MKA1jGZUrWtBUvsRSAMorNcftHLzZzv6kerfi4tNp+4PIgZJ7/0Iw2hBa5Oywx4bWHbecCOYsiAl0YOMzxoQ3bPnBhlEPzjyE0g9XSxuzRhtjjgXK6QtSN0Dhj0huG8Jsfa/97aHqn9NIvKJrPd+ih7JF65AUnbaKqFsVyD5+7AgDSYLdn/rtdOPO5AYpMHMS407KHuDPz+BlPVatM13Di17yhNHkJ+Lry/yPWakvLcHQt4C6ZOf/CQrVqxgx44d/OIXv2DLli2ceuqpHHzwwVx77bU0NTUNaAL33nsvixcvZtmyZaxdu5ajjjqKs846i127crtS4vE4Z555Jlu2bOG+++5j48aN3H777UyZMsUbs2rVKhYsWMALL7zAypUrSSQSzJs3j85O58M4bdo0duzYkfV39dVXU1FRwdlnnz2gdYxmjAlOdqJhtKC7eqkS7FmQivRLwnRS/XVX/hYk7TY/1T3an7i/5gboYtO2JrHOab9jWwdgTvANKDtvuJGOQQLiQ29FUnSLZyihQFJ5CqSeLhY3A0xZI8/FCqhYqiZPtostWwj+c3q7DtDx0UPel3HoE6EeBUi9AOGUiy2zzpZ2SwrkIQ4GmgW7fzKE2QBcbIOZl5o4MIGU+Vp07WnMaEqbug3k5eLri3yPGSnv7YHQb/t1eXk5F110ERdddBGbN2/mzjvv5Oabb+aqq67iM5/5DA899FC/znfDDTdw8cUXc9FFFwFw66238sgjj7BixQquvPLKHuNXrFhBc3Mzzz33HH6/82U8c+bMrDGPPfZY1v277rqL+vp61qxZwymnnIJpmkyaNClrzP3338+5555LRUX/Ui3HBOVVTvNVoxN7zzbM6bN7jvEsSMURSKl+bHrvLhJbEvk1QkxZkGx/t2MGaEFal85WChivw3iwoofS/tRlVBx1I9Wf+jnJ6h/kzs4bCWR0MtexCKosRy+uYqKzBZJOxgfV+mFw5Jfm393FEmv7OsGqe7Ct6hHnYgXQidwWpMwvwUCFc413Ym3iWY1QfbN8vbtbAq4Y6S6QFOjA/rPYgPyyYPtJlitxgAJpoPMyJs7IcvEpf0X3WOicZInymlvceCwDpWwSXZ+kY8eDBXHxp97b+3OzefFlo5RBrexjH/sY//qv/8qMGTNYunQpjzzySL+Oj8fjrFmzhqVLl3rbDMPgjDPO4Pnnn895zEMPPcTcuXNZsGABDz74IBMmTODrX/86V1xxBaaZu8Jna2srAHV1dTn3r1mzhtdee42bb76517nGYjFisbQLoK3NuZAkEom8+gflS+pchTxnITD0ZEzeIbnnA+yGj/XYr+10mv9g5t59/cab/4a9V5HcXYe/GnTLLjp/04GqVJQfeQPGOI19+A+z5+oeE397Cv460HE/HRnHmMpx01nJGLo/c91t49/5I4K+OIbPTXOOz3azlRpJ2FfBYaDcr/Wklex3tnqpX3+fG2Ca6GrHqBiYy3ygGN2y55KxKKpEz4OpHLFmYWL3MYfyI2/Av9NxscRa/4lg1T0YZiuRfYudLusTfSStq/J6L5T69bdTQdpGRdYcdIPuO9YmeTm6Qfc6d9tIVWrvSn++teNus81w1rW0z/VPGdznLIVS2S62QT/v/ZyXYc/ENJ3wD8sXxspj/d1fi0TXJ/GXPePdZgrW/r7/uhM8I0j0/t6tycHTg4N6/rszVO//fM8/YIG0evVqVqxYwf/+7/9iGAbnnnsu3/zmN/t1jj179mBZFhMnZjfpmzhxIhs2bMh5zHvvvceTTz7J/PnzefTRR9m8eTPf/e53SSQSLFu2rMd427ZZtGgRJ598MkcccUTOc95xxx3Mnj2bk046qde5NjY25qzx9Je//IWysjx+/fSTVKbgcOHM5ATKzHfYveZVNr8dorW8lcyf96d1thIIwq49+1iTEQ82UFLrP7ptBzPMO9C+MwFQbpfsgO86/Dsb+eCjb/LaB9mPlzrGDnwWSBeKTB2TtBswDHh30wbeacrTy6zhxA3fpaoiSVldI1bCKZZn+N8hWHk/Xc1Lad36HV5qf5RCmD1K9fp/XgdRKsFLz66iOTS0vsHP6ewL8eqnn6QzMMRWLJcvuBakF9asZd/69/Y79pD4JsLWNwl2XELQDmInJ2P4PiISPZVdViuR5k1s7OdnoiSvv4aT9nzIhDLo7DRZ9Uj2e/nocX9ihnkHXc1LiWXE2migrK6RXdYuVj32+V5PP71jC8cosO1OL2b0c25j3Dc2vcf27ennaKjWPy/hx+2wQ0tbhOcLcO3qD2ckp1DuCqT3397Nxp0rQfW9/szXQmGRjH6ih2Bt6fgeu6p3Dej9l8m4GeP42EcfI5hIW9ii/ijvTn6Xve/uhXcHfOpeKfbrn29Jon4JpI8++oi77rqLu+66i82bN3PSSSdx0003ce6551Je3r8iVwPFtm3q6+u57bbbME2TY489lu3bt3P99dfnFEgLFixg/fr1PPvssznPF4lEuOeee7jqqqv2+7hLly5l8eLF3v22tjamTZvGvHnzqKrK0fV6gCQSCVauXMmZZ57puRBLScoaY++cDsHnqItGOarpqJ4WnP/9DdgwYdIUPnv6Zwf8eJnr95k+um45lYiv3vvQK3NvVsZYdfJyzj63zHO3aVv3OAYdyDrGV/Y0+HZw4KwZHHRifnNNfpAk+kaU2L4lKDThup8AEKy837Ec7FtCCJh3xDx8MwZumC356/+7MNDBCUfPwTjgqCF9aON338m6/8mT5mLUl6g6/+8dC9KJn/ik17C5d1whbmusbRbWc4dj8BHlR7xL5advAeDAPB+2FK9/6jPe+cZiQoHHoQxC0fGcuuXUrM+48eYrJPZeRXzXYjIL48STl+Of6GPqOM3kw3v/PNmbXoLXwTRifPazzjjjdxcDcOSxf8NRBxw99Ov/w23evzV1E715FZvUc27tOBSCTuXryXsOZmLrx2kbv4TJh03cb3HHzNci0wUWjS7BCJn4jrAZN3ccyujf+683Uu9t3alR5YryaeWMN3rpyzkIhur1T3mA+iLvK/nZZ5/NX//6V8aPH8/555/PN77xDQ455JABTxBg/PjxmKbJzp3Zgbc7d+7sESOUoqGhAb/fn+VOmz17Nk1NTcTjcQKBdFDlwoULefjhh1m9ejVTp07Neb777ruPrq4uzj///P3ONRgMEgz29FH7/f6ivJDFOm9/Se4z8e+8moTpWNcMn5PJFkxZY4xl+P1+kjrp7g8WZN5+vx+2k1E99wOCVffgCz2PP/x8Vgqr2pFuvprYkvCOMYMvEyj/K/7yRwlUPOwdUxF2xLKpLXx5zjXVyRog1jbfE0jdC9WZUbNg6y/F62+7xfJMncj7uSncY2e72HxozBI8B9q2vAam/lA5Rn/m8DFIvHkUdK7EaF8/4NdwKF//1Gc86EuiDDdI267o8Rnn6B9hAtWfyhVr828A7K+NqeW1Lol4a9Nu3ShfeXXWaz1U60+aFZ57SPnCQ/6ca/Msb5u2ywn5r6fWvINEy1X7n8t+X4sfFWfSPSMrikaxX/98z513Fpvf7+e+++7jww8/5Nprrx20OAKnVcmxxx7LE0884W2zbZsnnniCuXPn5jzm5JNPZvPmzdi27W3btGkTDQ0NnjjSWrNw4ULuv/9+nnzySWbNmtXrHO644w6+8IUvMGHChEGvZ7SRWQTPH34OcARSpjXGK0KmCx+knZU507II6Lt6bub/duIQ9xg7+5hUJe1+ZLFlBUbWXescrxmZBSF7QdsarZ1MI6upAztpk9iSIL4+7gjPIheEU2qYZLFlxCco/wCKB45zLG8q+kbBplQsuhe6NIOvAGCGXuq10GB/K+F7uFmSSkXcx7a9wprd234MFVntPcyBNavt92Nm9ZV73NseqLybcF0jXc1L6XxjcV6ftwG/FkJe5G1B6m92Wr4sXryYCy64gOOOO44TTjiBG2+8kc7OTi+r7fzzz2fKlCk0Njruku985zv88pe/5NJLL+V73/se77zzDtdccw2XXHKJd84FCxZwzz338OCDD1JZWemVIKiuriYcTqcyb968mdWrV2fVUBLSZPU/8r9DsPI+/GV/JlD+aI8iZCrPysP9ITtzJt0pu3vmTOa4XMdo7cs6JtUOpD9p/pnZSqGquwFIRj9JMvKJEZmtlMW6dHZeRXXQuSpsuIPWZ48jVHM9YBHddyWqUhW3t5gaJnWQEhlCLTAAgTTlaNgKJm851ihjf3aV0tJboctA+V8LXuhSBR0xoowuRxzFIijliIBSCaSs9h6+cO/jCkjmc66MVkI1/wlAuPZmz10/ooqLjmJKfjX/6le/yu7du/nhD39IU1MTRx99NI899pgXuL1161aMjJ5A06ZN4/HHH+eyyy5jzpw5TJkyhUsvvZQrrrjCG3PLLY7f9bTTTst6rDvvvJMLL7zQu79ixQqmTp3KvHnzirfAEUymNSbWcgnByvvcUvo5GlHqJChQBSwUmZ1C/TNsO4hhxIi2XNyrKPGO8f8Aw7cHraF1ywaC1XekY5JU/wVSqiCcb0cjia5T8Jetxk5MzV0xeISR7iUWB+0IgmDVvRi+j/CXPUOk2ckyTWXrJVlW8AuHtm2UcjMhtXLeZ4PtlTfQuSRj6dhks/9fUMa0Q9DPBVFGJ9b2zZjTBm9tLxbdC12Gan/ifsZ9BS90qUIZ1ppEDB3pSD/PvTTGLTqZAqmAP+72R1Zfub1XE6y+pdfrqlBaSi6QwIkVWrhwYc59Tz/9dI9tc+fO5YUXXuj1fFrn98a65ppruOaaa/IaOxbJtMb4y9MWxJwWHLdNhB7AF0qvj58hSiLNSwlU/BECG0l0nY22xzuiZJKf5Nbs2kPOMU7JBit2LNquyxIylu00l+1voUjfOEiyDPsdJ6vJTjoBxDHrcvwNgRFTEDKT7m0LrISzpmTsUC91ODM7JtK8lNjuRVSfqgtrzs+w2mhdhlKdYJfWgqS1OaBWJ8rnx7JnY5qvYX/4+rAWSLl6iYFTTb03K+2ACaUtNDraiY6m4p3CpWspk1GcUQ2RBSn7Ob/BE0f7s4wLpWFYCCRheJJtwfkptlWDYbYQa/t6DwuO5bnYCmsSTomS2K5F+JLPYwY2Yvh2oII2Sf+pJN+NEfm/dHVvVamoOuBpbHschrGXRFe6gXJKyKgdbjsZq5+1NtyCcHz0KQCMKQdQ8bcVI68gZAa9uVh8wQ3YViX+smeoOWAiSiWK21sskXavaV0GdJbMxaaT7lz0wC0KdvBIzORrsOd14NyCzKsYdC90mfqMR9v+seCuY+Xze41ciXZB1KmirXVZ6QqC+tNlJLRvaGKQ+urfpnEyA0eku36UIa+A0CvdLThm8FUC5Y9hxY4m0jwjy62k3CDtQrrYgOwqtb9z2sn4pu7ErAvia1pFIpZduyrouw6jY5WXjWXM+SzldeVZlW0Tv38HM/kW6IF9ASt7K5hgHnggvhEeI9DTxXIdSjlpPYbpNC5VKlF087+OR70vyVSgeKktSN17+PUHXX0k7AX2rcu/8nsJ6P4ZD1b9NwDx1v+HTk4rvOtYh0El0LEudCz1w6ZE7jXI6gGnhkggdX/Ouzf4LatrxD8xnRkolA4RSMJ+ybTgBNXVUP4YRmAj0fhPu7mV3C+zPnpXDRRlKKiYAh1gsIOOddcR9CXcX7lJYm0XEqxyskCirecRqv4Ntl1D4KSTe5rvBxCDlELbFoaxzTnNhN6zI0cKPV0slmfutxITMf073TYGRTb/e24tXzqIvr8WvkKRTM0l0H/Lxjon4D2+6VgC48DQ62lzq7gXNcB9EGR+xkPGjYCT5l8M17HWYRRt6FgnxF0LEkNTQy8ngYwYpAFkLA6UzOc8s6ZULHk5u6xdTB0n8UfDARFIwv7JsODE/3w4tIKvYgPV86u7/aosjosti7Kp0AFEPurhFnK+3HEDih2xluRTBHLFNig3q2ggAmn3RxgqgdZmHgUEhz+9mfsrGr6Iv+wZABJdZ2HFji5qtp5OulW0dZB0M+ESu9jov9hPBbybxiIATP8WUG0Eff9VtAD3QeN+xqtOjqPuc1Lww1+oxz+7+2d88Ghc62CiCx1zLJSo0lmQVKZAGiILEtBr/zbdoFn12OeZfPhn91tTShga8q6DJIxtlKEwDzoSAIONOdwFrluimAKpcrIzF/2Rtym671/cekROXaJ4x+fxlzl1tRL7Pk3yqeWwbnn2eZT7xaf7L5DsPe87h9pTUL6R7V6DtLm/eyyEv+wZkjEnmN0MvEl03xKvVk7FnBsL7y6KO6JEE0C7dapKluZvDczFllVTqPZGbMv58g2Pu6rXmkLDimg6ls//sboiuQRdMRSPoOJODaThYkGyWv1D/tpIHaPhzbD7MSMMX8yph8MrYJh7sJt3YtSle+gVow5Sd1StUw3dUGmBFKpbhnKvKUpB5ZSzUYZTRt4wNuLb8cuev9rVICwUzVucQ43po+bXRU9zv0WkeSnJ2NFUNnzV6zZezGy9TAuSdn87lyrN33Ox9dOC1FvAe6j6N8UNcC8UXY5FR2s/Klgka4pyLEg63gkJV5AZJbAgrXNcoV1vnEGV2zEj+gxEXm4dtq5QYegRgSTkjSqrwLamY5hbsT98M0sgeTFIRbQgGXWOS0sZu1CVSYK+nxOu/SUAtlWBYXZgmK0AWMkJhGt/mTstPVXtewAWJN3mWpD8Mwa5mmFED3P/j1AVCrNlNbwFmgoqzitytl4y02qTcoGW2oLUP4HUM+D9WreKuzEi6tvoiPPDQuuKomWVaVcgqUQEnXBjkIyhtyClXKEB366MyQWLWutLGHmMlh/BwhBhm47bRe9+K3uH2yZC+YoX6KjqJrpVsTUVh/yYcF0j8Y6zAbBiJxJt/aY31vTt9n616zbniz99okFYkLq2OLfhUSSQXLqb+43yGme7ai+++T+ZcrEF0V4MklW8x9vvXAbmYusZ8O60Q1LKHhHtaHTUbeCpi1jVOmVBSnaBK5AYYoGU6QoN1dzibQ9U3TkyXKHCkCECSegXuuww55+WbIHkudiKGJejDBNtO1YrI9BGsmEZtuV0ULTiBxLZc70Xv7LfX+2eBan/LhwV/8D5p3Jm/xcwwlBl1c6t6uhjZAHICIxOvYaqVEHalivWVP8sSKmA91Q9m1jbPwJgW9XpRIIqNST1bbSt+99HL+q62KjsY+AgSAVkJyJguQLJHFqB5LlC9y0h0vwv3vZUq4+cP6qEMYlYEYX+UXMYdIGKvp29XRVfIAHYagoG27HKzsI/96voD//W2Z44wP3Vnuy7Kq0nkPpvoUjVQFK1Iz/Fvy+U231dGV3oZKK4QelZFqQSxyClygv0UyB1r28TazufYNXdKKOdSPOSoWlHsy7dV0+3ZzSYzaPMQCqrTKsiCiQjDBaQ7HT+AMyhjUHKdoUudatZ29LqQ+iBWJCEfqEmHg6AYXcTSK4FqZguNgBMJ5ON9g+defCuszm41jOPt7zX5GVc5fzVPsAYpNFWA6kvUgIJQLsBvMXCE0Mq4AmkgRbyHDSeNav/gtA3DpINy4glL0db9Wi7AqVsEtaXSTYsK3o7mnRfveuytjuxNVeT3Lufg2Oui80onotNm26af7IrbUHyDa0FKdsV+lNPHKV+VOUaJ4xNxIIk9Atz2hHwKhjmTuzWPRjV49HJpBdvUWwLkg5OhijQtd0VLE7QdLDq9zmr0ub81e7GIKn+CqS9OzBU3KmBVD99sEsZ9qhgyPvioKsNquqK91iZLrYS10HCTou1ftMt4N1afSA+43XCJ2zDN3d5IWfZg+599VBd2MnpGL7thGtv6LuPXjxVl6iYFiTXWmRFULaT5j/UAqmvVh9QnFpfwshD3gFCv1AVVdjWFAxzO/a2NzGqT82qeKyKXY02PAWioGIfYe/8AFPF0NrAavhXYrv+mayqtL2lpbsWJN1PgWTvfh8D0HYDxiiogZQP2q5EmXvRXW3FfRzLTfNXQXTKsD2AQp4FwRqEQHJJBbwnXjgI7Neh9Z0CTa53eiszAORXZiDhutjMIgqklAXJyrAg+YfYgtRHq48hcYUKIwIRSEK/sY1DnTigjW+gK07CrIun04KLLBxUxVTYByQ+QjdtcuZjH4jv0z+i+rTsqrS9pqW7tZpUf104e7c4j6dmjCHfdAWwFx1tLe7DeIHRQTSuNbLEaf79DdLOSdnHnOrvHcUXSL2XGVD5xda4AglfEbPYUvFGVhfoLlCAv4iP1wu9tvooYq0vYeQhAknIn3VOAGiy4xB8lU+gd75Jx286MCr3UV3vjim2ZaV6Cmxzqmnbe50vHW0eCKR/tfeJ4b7t++tiS9VACoy+FP/e0LhxSJHixiCRFYPkCqOR6GLrTvVB0AEqunnw5+qD3ssMaEK1jUT3Le0xLoukm63oK6IFyecIJGVHQXc6AilQgkravbT6KGqtL2HEIQJJyJtUAKitPguAGdgIQMB/I+C0+sAobgehdDXtHdhtzuPr8EH9O0lKINFPF05ki3MbGkMCSTm/7nWsuC62lAXJEUjuL/pSBWmnxJoxeIGk6g+B7WDodwd9rr7oHltjJ8dh+Jyo7HDd9YBv/7E1VsqCVHyBhN2F0o6LLasf2hCT948qYUwydjwFwqDILK4WqHgUcARSqPZ6wrW/cEcFoGg1eB1SDWKV0YXqWutsrDq4X+dQqS++fnwBa1tDxKmBZKvpY6eInOF+WcaHRiBpI4jWA28mXBAKaEEyJh/i3JofobuKW0+qe189VPo9Gu/6VJ999FRKIAWKKJD8bgyS7gLcGKRgCXuxCcJ+EIEk5EVWcbV9lwFg+D4iXNdItOXbziAdKHpxNRUqw7ZrADDVK862cf2zIOlUO5R8BNK65SSfWk7rTa0Y1lYA4hsm03pTa+5GuKMMnRJIQ2VBMoJoVeJWIymBZAzesmBUj8e2nOw/a/vGQZ+vL9JlBhZjmM0Ze8J9lxmwXYHkL6ZAcsWQjqJws9hK4WIThDwQF5uQF1kBoM1XEar5OUo5jS1jbRcSqrkVrX1DUlxN68lAC8otTmlMOqR/J+iHiy1dVyaG4XNqINnJ6QTDY6Rnk1kJNukA3v2g7VzxHHlaFO10ccaS10HShXOxAdjqQAya0bs3wUHHFuScveLG1lQe9iE8kd7sC76IOvVPYOznN7HucAzAwWK62JwmuEp3oZQjkFSodC42Qdgfo/raLhSOngGg7naVIFh9u3NH+4ekuJo2GwCn1Ym2Q6j6af07gZFfHaQedWVwWpgEKn9HuO7avuvKjAZ8lY6OTO7HgrRu4NWbPWw3zd/IEEildrEVSCDpwEGQfBn2bSrI+fJ6zLadANh2DYoohrkXa9sGzBmH9XqM0o4LUIWqeh0zWFTKWqQjYLgxSCKQhGGKuNiEvOjeZ8pKOIUSYx1fJFR9hzvKPzR9pvxTvP9tfQCqn4Hhykx98e3fQpHpVoy2npd6RE8cjYmeTT73y3I/AmlQ1ZtTeFabIHbqd1upLEgFFkiUOf0C6Sx+qr9Hu9OlXuspWHwcAPu9Z/Z7iMK1EhbTghRws9jYh3JjpFRYBJIwPBGBJORF9wBQK3o8AFb0OKKt57uDOofGkhKc7P1rqwP6HzCdikHqQyBlugut2HEArltxDPVs8rv92KzcAcaZwfup1i6gPSGdd2d0241BMjMKRY4SgaRqnCQCFS9+qn8K3dHk3BoT0JUnORt3PLv/5rXKEUjFtCClgrSVkaGaQxKDJAxPxMUm5E1mcbWQ8X0ADF8TieS5hPg1qOKm+KdcOYlt9fhrnU1W6wF03tSavysHMgTS/l04me7CQOVvAMfFtt9GuKONVEaTlduClKt6c6i2EaXyrN6cwhUlOtPFNoBmwvnQV6yUKnAMEvUHw9ahSfX36HIsSIaxC9ty+xbGX6Dtftet1c39qW0bpVwXW1kRXWxuxloqflDrIMonX0PC8ETemUL+ZBRXiz/gtPwwq3ZhHmbCBtB6UlEfPuXKsXxf8bZZiQNcV04/AqZNNwapD4GUWVfGH3Yy5rp234jh2zFmejapYLXzj+7FgtSjevNPUEqjtdk/K5tOZbFlCqT4gOedk3X5xUrp1OOahRFIppfqv4foK02Y48f1L4B9IEQdgWTrCnzR3znzCGxGmbvR1oSen5lEDKUci91QCKQUWpcVuTCIIAyc0XtlF4qGMhTG+MnwISi1MyOYtnhvp1wB0wC+0MsEq37bv4BpI08LUkbPJtsqwzC7sOKHEW//R2CM9Gxy41GUnduClB28f106rkRZ/bKyqZSLzRfCVsWxIKVjpeKexQvoIRaUXUCBtG451l4wkpMwfE3En3wTK/bx/gWwD4S4I5ASrWeRsE73PjO+4EuYwbc892fqM6M729JCpZgxQaFw9n1dVrzHEoRBIgJJGBCqyokDUnYTdiF7V/VClitHdRGu/Q8ATxzl7cqBDBdb31/AvnGQjP8zvr0/Q2uFFT8UGEM9m7x4lLQFKdNFRRkZ1Zt/4o1JRP6mn1a2VAxScdL8cwnszA7umWIBCudi86ye2sm0NP3vYsU+3n+rZz9RSdeCFBtPvP08/GV/xhd6jfJJF6CU3eMzY/gdAaztsqK6vFS3eCONxB8JwxcRSMKAULVOJpmhmrC9gn7FK9mfXYdpGaGaX7iNOPsfMK18qS++PNLI5ywH+3HY+zNsaxbl50wYWz2bQq4FifZeXVShCdcTrmokGZuNL/g2AHbiYCKRT+VvZdMJpwaPWZw0/9yxUtehlNVDLCh3LsoMDuoxc4kyw/9uTlFWaHebsnaDCdpymiTG2i7GF1rQ62dGB12BpCuK6/LyB9FaeZZGEAuSMHyRLDZhQBh1jkBSRhtEW5yNRbQg5WrEqXXAC5jONa43UpWalUr0ntGTOX7nOufWfziBIwL4Z/pHb92jbqgyJwZJqY5e0/l9fid9XNv16eOMVmLW5X1Xb06h01lsdkog9ZFl2B8yhXO8/cvOHJWVW2C7MUh6kC62zDIR8a5PARCq/aknjopZJkLhWpCs8QCYwTWA0y8x52cm6mSwaYqbcq8MI8utppVYkIThi1iQhIFRXoW2wygjAh1OCw5U8d5O3Rtxpr5gUr/GIQ9XzjrHAtK17u+omgCQpOM3HX3Hg7StB0CXH1HgVQ1/UgG7yojQ8frCtDVERYi1XEqw+jb84WeJNC/FCKTT2FW4jep/qs7byqYyBVJKwBbQxZYpnIM1/5nenjMjMRWDNDiLaJYoa5tPoOypAVs9+/W4to0y9jh3gvWEyq4nVL3Cs9xE9n2vx2fGWpuqlF78mkRah1CpPmyGCCRh+CICSRgQyjCw9ERMtkDEFUhFdLFlBkynXSJ4t/m4clIWEL/P/fJws3b6igcxYusdW+v4OYVb0AghK6Ops52ovQSIE677GaGa/3C+cN3Xo3Lqqd5Qg5Z+WtlcUeLLrINUOBdbpsAOVa9IP2rHZ3uIBdu1IA3WxZYpyvxlKwFckVLkMhFd7SjlCM6yw3+Hb1ej22T6PszAOyQjpxHRFdmfmZhrQVJFLBLpkQ7U1iKQhGGMCCRhwGg1CdiCSmxz4keK6GKD7DpMkP7VnU/AdK54EKUSfcaDaNvCYAMAxpQxKJACQadWjYqhjHa0XUOi8xzCdT9z0/n97he9henPrBTd2s9HSlltgukYpAK62DIFdqztqwSr7gXATk71ilymBbYrzHyDez9nirL0400j3j6/qGUi7OYdmIC2K/DVB0iazmfGjK/HDLyDGXi7x2dGx90sRWMILEiZcUcikIRhjAgkYeCYk0CDsrc6AaGqeBYkIKsOU89Cf8v3e2h2FlyEcO2NAFnuulxZcPb2zZhGF1oHMaYcXKyVDWu0XYkyY2A4VoZg9S+8fSmRGe/4EsqIprf3UyCpVBabP1C0NP+UwE42f4wgjmAxg2/S2fFwN4FdmDT/TFEWbfkWoZrbUEZrv6yeA8Hrw6bHY2Z8ZhL/ewQk/oRv/EbC/9DN/Rl3LUjGUFiQQul/TRFIwvBFBJIwYHSgAWJgGNudDUW2IKVQhuo7lb8bPQoa1tzotg3xZcWD2O121nH29nWYgG0fgjlGK/46gbt7MMIdBMqvJ1j1e2+fFT+AcF0jht9pxGpb9RjmLpTR4sbC5JsHknax2cVqNeKKBdu4E9y3rBl4k6oFlRi+5d4w5c1l8O9nz+q5+x8IcRvKaAd0UctE6A63D5ua4G1ThkJNmQNbwLTf6un+TLgxSOYQWJBUhgXJlCw2YfgyNq/4QmEIOwJJqVTdmCJbkAZBVhZczS9R7l2lkoTHXUlkr1PDJ/KXCOaexnTA9h4ng80OHuE5fsYejlUhPPVX+KL/Q6LrFPxlqwGn1Uyk+XLCdU5mm+37Gwz9kJMhFu2EsjwtEm7MjPKFvCzDvMowDACV7PT+N8wW7D0fwqQZGSMK42IDPFFWeUIHPAhK2ZR/ReM/OP8A9n7T6ViQMOqzNhtTjoQtYLABbVvZTZ6TrkDyDYEFSWUUi/SJBUkYvkiavzBwyhuy7xcxi22wpOJBUjFHia5PePtCNbcRqv0xAMFgugO9tjW0vAGA7Tu8/01xRwmpwF0VjJFsWIZlpV2NyugiaZ+KZR/mjK0+Dq0doazb9+X9GKm2L9rnx/IuS0VqVpvozLprbV3bbYAbpO0bXJB2JipchtbO58NXW+SmzhFHIGn/hKzNxpSDndIYRif2jvezjxGBJAg9EIEkDBhVMbnbhsJ9oRSaVDyI12F+x0NE9n3P2x+u+xkVDV90xFPkEyQ2xmm9qRUj+RYA8fcOpvWmVpJPLYd1y0uyhpLhxqXYZWfi+9RyzEr3C1g7l4/grOfA/Z/xh6Ntp3aS7mjO/zFUKgYpXQepkGn+WSS7su/vfj17KqpwLjbvnIaBtp2MQN3ZUrDz5iS227kNZluQlM+PbTt94ezt67L3WW6ldH/xBZI2Mtxq/uK79ARhoIhAEgaMqukmkIzha0ECNx6kYRnRqFsioPlqYm3zvf3+smeINC8lGfkk4apGgr4fY/idDuxW/DC3HIBjXRpLaMNN9XcDeZXdBIClPg2A0fpXDMOJQTKmHInGFUhd+VmQtG153d2VPwSq8FlsWbgCKWXRoT1bLODNpbCCv7/Py0BRcdfFFprYcw4Bx9LH7vXZOyzXghQYAgtSZtyRT2KQhOHL8P5GE4Y1qm7kWJAALx6kbHyMrgecL8mu3b8gUHmPm7IOsbbz0ZbzxZJKxdZ2iGDV3UVvDzFs8VU4XqeEkwpu6B0A6Knz4cO/4jNedO7bZaiJs9CqxrkfyVMIJOLp//1BbFVkF5vluNhs+0hM81WMRFosaNuGAgZpZ+MKzUh/SyD0E2s3GKDKcgikysOhBVTHm912dDjtVfxVPY4pOEaGiy0gFiRh+CIWJGHAqOrxXrwJMOwtSCmMyvTb3mlbkupADxUN5wAQ3fcvWPHpziAVHZL2EMMWn/ulmWx3M9NcC0XHq1iJqd4wK34wbb/sAO261vIVSPFY+n9/AKvYAsl2BVL53wBgGO+iI25ckm2l+4T5CyuQtOFYkIgWVyAp7brYKut77hx/uDMm/lb2MbZrQQoNgUAy0wJJBSQGSRi+iEASBowTV5FxER7GWWyZdA/YjjQvJdr6DWdfcCPlE/+RyqmfxAw4FcKdcgDFbQ8xrEkF7ibb0K17PHeYv+UmtFXrDbMShxL0XYdpugHAsZa8Tq8T2QLJLnaQtuXGIJUfgG1NQCkba4sbh5RhzSq0iw3XVanjRRZIyknzV5U9LUipYqeGsQmdabnDjUEKDrGLTQSSMIwRgSQMCqeatosxNHWQBkv3gO3oviVE9vyURNfJAAQqHsUXfAvtaqCBNsUdNaTcLskOdPNHANhWHZHmpfhCb3jDlLmTcF0jyegxAOg8BRKuQNLajzJMTyCpYqX5uxYk/GXYhtNfz3prLYktCexYuthloV1s2qxx/okVLwZJx2MYRgsAqnZSj/1Gwyy0XY5SceL/95bXrFmlBFJoKARShostKAJJGL6MDJ+IMGzRZkO668cIsSBBuoBfdPul3raOHfdRc8BkLx5JKQbWFHe04QbuKrsN3eJUWLSTkxyLmmonXPtLZ1jZU0Sal6JUF77Qq9CZZ5B2whUl2rHY2Mp031OFraSdfsAuJ96meSXJ9sPxVT2F3rWOjt90YFQ2U50yivoK/H72VTlGsVRbjyKgW3ejcDIMVXW3KpTrlmPtBeKH4AutJbH2VRLPzEBVKqrHO5kHKjwELraMwGwVkhgkYfgiFiRhUGh/Ri2kQbZmGFLmLMf3qeWU/336F2yo9iZXHCmUgkTXJ7Oa4qZ6dlXMuXHsBGgDBN3YGbsD3e5YkLTlWCeizf+G1s5zkXJD2m6aP8mW/M6fsiC5zY6LHqStHQuSL/4AhvEBAGbACdQO+P/DGaKNflQBzxNf6nkpnovN3ucG0NvjswtBkm7WnHpezcDbgNOsWRlu7achFkhWc2jM1hcThj9j6GewUBRCk7ykn5FkQUrhn+H3GoqmXG5g4Qs9j7/smayu68VsDzGcUSkLkm5Dd7outqQT35IKcs90Q9rWBHd8S17n10k3BillQUr9blNFcrG5AinW9g8Eq34HOC1HQrXXE6692Z1L2HE9FVIIBxyBpKwixiC1u21GyA7QztWs2Qy8nWUZBSBcRBfbuuUk90L8rSn465xNnY8YqKdbnZ5144DZ3y/e4wtCPxGBJAyOsgZIeQxGoEDKbCiablrrkPryMKf4UMdclVdT3FGJZ1Voh6hTA8mmITvIPcMNGWv/IgBK5RYC2s5uNqy8LDbHAplqVquK5mKLABBruxA7OZ1w3XUYZhvhunRTWa39WN0aFw+alCWuSAJJ2xqraYfTb47xGBkCL7NZs+F7n2DV7/CXP0yg4mEi+75HuPYXaG2Q3OkncEBRpudZsCz/l9Mb7TK3vlgjSZYV54EFYYCIQBIGR0XaxWZ3+Qr/q3sI8BqK7lpEOqAqbTEKjAMK+UU5wlBu6reiAxV3LEj+2jfxWY9nicrMLvUASncTAuscC0LH64vQ7enn2VfTQuU4QDmBwsV2sSnlZrHpMqL7riRUe53XuDjefh6hmttABwqfqRhyM/7sAgukdennNWB8BOPB7hpP601py4w2/tUbHmleTrDqd152Zrz9PEcg2RXQVZzPbi4LltYBQrU/z6ovVnaSuNuE4YMIJGFgrHMuytE3PoV/vLMpsREi72SYy+csL+EE+4FbQLL61GzLxpi1GHWnzBVIRjtYTU4RwspKkuHcotJXsRN/xwoU2UHaKQtC0BcnStpSF/Df7fyjHcuRJ5BUcQWStstcF2Fqe5JA1R3uXPwFz1RUIdfFpgsbpJ35vCpXZGprfJZlRs1KryVY9av0nFScYPUtzh1dUbTszGwL1jaCVXcD8SwLJGisbUWyGgrCABCBJAyI1EXZZ2b22/JnXZRH2ptLGaqwLpVRgkoJJBXDsLcBoGdegu+wT+YUlfaH/wLPrshysfW0IMSJ7rucUO2NXhyQnZyKtnU6zV8l3cKUhQuW1rYNyolBClT9inDtL0hEP44/tJZE5CRC1Xc54wgUPlMx7AokCmdB6v68JqNHAmAENhAoe9qzzFR90syKtbPiB2AG3iPeOY9Q9Z3uuSqKlp2ZaY2LtnyPYNXdueuLdYoFSRg+jLTvMGEY0P2i7GR9afzlDxOs/MPYbMcxikkJJADDdLKkVO0U5zaHqFQVte6+dnQyifL5siwIkCBc91NCtTeglCbW/iWClX8EO4C1zfJikACwLShkNlki5lXKDtf+gkjzUrQO4g+txU5OJtb2dYJV96CMtoK/d1VZjXOrCmdByn5e0+7NlDjyLDMfWlmxdqgo4cDP0dYkYu1/T7DyPjA7ivZ5zbRMBSoeANy6V25gf0okqXK5XgjDB0nzF/qNd1F2U99TXzgpcTQm23GMYpQ/gLbDWduM7n34MsdXpKtrpzrXZ1oQ4p3nOOPc7LdE19nOGB1Ed+qMGCTAKux7SEc6vP+Tk35ALHk5dmIGAKb/AxIJN4BYmbkOHxTe86I60HZhXElZlpl9SzKKm/p6VH5PNWuOJS/HijmWJjPwBsnkmc60iphkkat6fct7O73SGaHa61FVCnNa4Z93QRgoIpCEftPzopyqg+Mfu+04Rjlapwv62VYdKhjqdawKBNG2U+tGdzhxSJkWhFD1f6bHqjiB8gfce35UucoWSIkCp/pHHfea1gF8n/4R1ZdU4z/xYAAM/1aCJ7jvZab2eoqBosprnFul0R2FcbNlPa91/54VT9Wj8rtb+6v6kmr8p5wIgBl4C/9BbnC8cWRB5pRznjmq18MYry8mDHtEIAn9Juui7NXB8aNUYuy24xjlaCoz/u/ZwqLHeF3j3LrVtDMtCMGqe7xx8Y4vEKh4xD1vEHOamdGsFrRVWIGUsiBp7Qg4ZSj8R7gCydzp9Y/TFLgPG6CCIbRb6yllWRssWZaZ2hsAsBLTelhmMmOLlKEIfPwQtF2BMmKolrXOnIzithnJtGBlErMuJ9mwbMzVFxOGPxKDJPSb1EU5s7jimG/HMepJW5C0kYdAohr4CLpcC1JGval45zwC5X8BwIofSrwzQqB8JWbofWxDYZMhrAvtYku4fdh0RruLyjq0Xelk6bVscjcWpyq8tqtQ5u6CCaTs5/VTBMqfwoodnVVywd8Q6JGNqQyTJEfi43nM2LNgkm5KXCzyyRYttMVQEAaBfIMJ/aa34op9XZSFkYs20oHaWe1lehuvnIwtHWnxtqXqTVkbIoAjkAz/eyQTnyDASjDd+BPDcFp9KLvgAslzsZFuMaMMA0vPxOQN6EoJpOLE42iqgN0QKVwmW+p5ZfM6AKzY0UDfld91+CiIPY9hOu1WMIemL5pkiwojBRFIwoDoq7iimMtHGSrjyzPYt0DCqHFuoxm1kFwLgt77La89jRl+H1V3OLSB7Ts24wQ+IA4FdrERdy1IZAeda99M0G9gJN5xrCkUqa+gJxzza+SbF+7zan3olMBWHzueitkVfdfxqjsadmTc9xfZgiQIIwwRSMLAkOKKYwuzCq/zRzgPgWTWOONjOYRAco/3r2G8i7ZdtWRkxP1oP6h44WOQXIGkVXn29tBMiIChNjsbiuVicwUS0cJW07Zb92Ka7wMQOGkuRnXfFho15RgRSIKwH0QgCYNCzOVjA21WpAVS5ZS+x/tqnPHxlh77VHKPlx5iGC1YMfdbOkOUaEwnEqnQLraEm+ZvlGVvr5gFEVBGxN1fJAuSUeUYXGMFFkjvv4IB2NYMjOrxeR1jzpiDftmHSlUsD4hAEoRMJItNEIQ+0WY6BsmO16PtPko4+Guc20RPIaD0nuz7sbecf4yM0gHa/e2WLLCLLeEKoG4WJFWT3aFVF8uC5HMtSPHCCiS94xUALP/H8z5GBUPY9qHefTta0ffrKghjCLEgCYLQO+ucnntWUxhS3qHn6oi82kfPvUANACrZ08Wm2A2AbddiGPswedvZkVWo0Pm/0C42krktSGr8AfBOxoZiFU30VUOCnMJxULSucW6r8hRI69zXNXIkZsV6AOLrA0Q2jMBeioJQJMSCJAhCr6R67pm+l71ttlXv9ty7muTeXg4M1ji3VkvWZm1bKMPp32cbTrFCZbQ7O83M2kNuRpsutIvNjUEyswWSMSnbgoQqfB0kAPyuyky2FPS0ZsKpZaQmH5/X+NTrqtRub5u2K/p+XQVhDFFygXTzzTczc+ZMQqEQJ554Ii+99NJ+x7e0tLBgwQIaGhoIBoMcfPDBPProo97+xsZGjj/+eCorK6mvr+ecc85h48aNPc7z/PPP8+lPf5ry8nKqqqo45ZRTiEQiBV+fIIxUUj33Is1LCZT/FQDbqiVU8wuv/lXHukW53TLhOufWzraU6Na9Tvo+oKtPzD4mQyDplHG70DFIlpvFZnZzsYXLsa369IZiWZA8gVSYfmza1sTfbPJS9dWMY/s4IvfrChCo/N++X1dBGEOUVCDde++9LF68mGXLlrF27VqOOuoozjrrLHbt2pVzfDwe58wzz2TLli3cd999bNy4kdtvv50pU9JBo6tWrWLBggW88MILrFy5kkQiwbx58+js7PTGPP/883zmM59h3rx5vPTSS7z88sssXLgQo5BNMQVhhJPZcy/W/ncAKKMlqzhobz33VLjGudUtWdt1i/PZ1nYVjDs8+6AsC1KRYpAs90dQN4EEYKsZ6TvFsiAFHYGk7EG62NYtJ/nUclpvaiX25+cAsBKzaP+Vj+RTy2Hd8l4PzeqluG+xtz1U/d/SS1EQMihpDNINN9zAxRdfzEUXXQTArbfeyiOPPMKKFSu48sore4xfsWIFzc3NPPfcc/j9zi+8mTNnZo157LHHsu7fdddd1NfXs2bNGk455RQALrvsMi655JKsxzjkkEMKuTRBGPFk9tKL7G0kUPGA12C2z557KYFENwtSuyOQbD0eo/5geC9jZ5ZAci04dpEsSL6eAgn/LLBcV2KxLEihGufWHpwFKeUiC/riaNOZqxU92nWRNZJkWa8X96xeis0/IFRzI0rZ+b2ugjCGKJnJJB6Ps2bNGs4444z0ZAyDM844g+effz7nMQ899BBz585lwYIFTJw4kSOOOIJrrrkGy+q9M3Zrq3OBrqtzTP67du3ixRdfpL6+npNOOomJEydy6qmn8uyzzxZwdYIw8snspRes+pUnjpSK99lzT1U4nzelugmkTifmRasJGJMPyj7IzMwcc2OQCi2Q7JRAKuuxS4dn9jKXwpG2rA1cIGW6yMJ1jQQq7nV2ZFj39uci69lL0c77dRWEsUTJLEh79uzBsiwmTpyYtX3ixIls2LAh5zHvvfceTz75JPPnz+fRRx9l8+bNfPe73yWRSLBs2bIe423bZtGiRZx88skcccQR3jkAli9fzk9/+lOOPvpofv3rX3P66aezfv16DjrooB7nAYjFYsRiMe9+W5tzgUskEiQK2D8oda5CnnMkIesfPuvXDbrvnnvJy9ENusd8dagSE6euULyjHRV0Uvh1x07n1hhP0vRjWpMxzI8AsJUfyz1PKgbJikfRhXwuXIFkm+Eec7bLZoCb5GZFfehYvODd5e1ABT4cy1qu17i311/bGmubhe7U2B224yIj3doHIFD+VEbrH030vSi+GT0v8YN5XYvNcHr/lwJZ/9CsP9/zj6g0f9u2qa+v57bbbsM0TY499li2b9/O9ddfn1MgLViwgPXr12dZh2zbCRD9f//v/3muvWOOOYYnnniCFStW0NjYmPOxGxsbufrqq3ts/8tf/kJZWc9fo4Nl5cqVBT/nSELWPzzWf/S4PzHDvIOu5qXEMnruaaCsrpFd1i5WPfb5ngfaNl/QCqU0q//8EJ0Bp1XJ8c0bmByEjliI1Y8+yrzkDMKuQHrvg+1s2ues27IUPhM2b9rA5qbCiZR5sTb8QdiyfTcb3OSOQ+L/QzhaQeXuswm6fXjt7SYtP28mNuUHREIdbAx8rSCPXxtt5hQcy1pmckl3Uq9/am7B7f9OMJEdFxWqvR5U+keb1v4sF9mrz77K7jd3k4sBv65DxHB5/5cKWX9x19/V1ZXXuJIJpPHjx2OaJjt37szavnPnTiZNyt0tvKGhAb/fj5lqagnMnj2bpqYm4vE4gUDaLL5w4UIefvhhVq9ezdSpU7POAXDYYYdlnXv27Nls3bq11/kuXbqUxYvTAY1tbW1MmzaNefPmUVVV1etx/SWRSLBy5UrOPPNML85qLCHrH17rN958hcTeq4jvWkxmz7148nL8E31MHaeZfPhncx6r761CqVZO+fgc1HSnIKF+8M8Qh/LamXz2s59F3/8AJB2X+sz6Q5h+8hn89Ym/YrrxSB87YCYHn5D7/ANB/e7fnMc6+HAOONY97+o1+Hf+iGgoo5K3DlBdcRNh8w4SdVdx4CmFmYNu2Q0rQRldnD3vTJQv+zXu8fq7c4tU1GeJn5S1JxE5zp0vKJUgVHu9N+6YTxyT04IEg3tdi8lwe/8PNbL+oVl/ygPUFyUTSIFAgGOPPZYnnniCc845B3CsO0888QQLFy7MeczJJ5/MPffcg23bXsbZpk2baGho8MSR1prvfe973H///Tz99NPMmjUr6xwzZ85k8uTJPVL/N23axNlnn93rfIPBIMFgz8wWv99flBeyWOcdKcj6h8n6j/4RJlD9qVw99xyxYfZyqK2rgVaMWCs+dy0Jtw+bab+OfvbHJPbMStWUJPmGgfV2gqPH/QnD+Mg9t+0dWwgsnF+OZqgSn9+PtjWtbywm6EsSrmtEu1Yvf/hJAhWPEmleSmz3Yqo/5SuIu03XpNuA+OJdGOHcbUH8fj8+05c1NyDLFZbo+iT+smcAsBOHEu/4u7SLzLqc0AGh3uc8iNd1KBg27/8SIesv7vrzPXdJXWyLFy/mggsu4LjjjuOEE07gxhtvpLOz03N9nX/++UyZMsVze33nO9/hl7/8JZdeeinf+973eOedd7jmmmu45JJLvHMuWLCAe+65hwcffJDKykqampoAqK6uJhwOo5RiyZIlLFu2jKOOOoqjjz6aX/3qV2zYsIH77rtv6J8EQRgBDKTnnnZLbyff34MuSzhfvtYeUGBb5fh3XI1lfjnjgCBB33XMMO/AsmY439AFDtJWuEHaQSeLzUt57x7P44qjVDxPcmuyID0HlT+AtstQRhe6Yx/sp29a5tyUsZdwXSOh2utQyvLEUbzjMwQqHsNKTPcsR+G6RvwNgbyaRksvRUHonZIKpK9+9avs3r2bH/7whzQ1NXH00Ufz2GOPeYHbW7duzapNNG3aNB5//HEuu+wy5syZw5QpU7j00ku54oorvDG33HILAKeddlrWY915551ceOGFACxatIhoNMpll11Gc3MzRx11FCtXruTAAw8s7oIFYSywzmljoeM1mGFIbtpDZG0HqlJRNe4tMCHWdB5JdZgnSAD8Fb8nVP0rupqX4g+/iBn+AG0XOljTqYOkgk5MVFbK+74lhGp/4mbr+YqW8q51FYoudGdL9nZbk/wgyYR9E0h+kMSIpK99VuJgZ97KQusAyehcktFPuDFIj2EnpwGO5cjfEHBahQiCMChKHqS9cOHCXl1qTz/9dI9tc+fO5YUXXuj1fFrndyG78sorc9ZaEgRhcKRq9CQN90vdcFL9g77rMEy3D1vXOBLxJUCScJ2TWh6q/pXj0tq3BF/wH5yTFdqCpNzgTNeC1DPl3RFHSiWz4nkKmfKuqQKaIOKWQFjnCMqO1xeh2zWzmU30f6IQdgOxsfCFnGKQTqxRHDCJ7ltCWf23nPmNm0nF2RWui2x5weYqCGOZkgskQRBGD6kaPUFf3LMOGUarFzejtYFSNrblmDii+5YSqv1pjgKU7qWpHxYkbWfH05hTTawPrYz7CsNwBJIKOxYk33Rf3ynv1uX4phfuUqmVk9Shoy1AdtHHlKsPIBTKjDVyMnGVgsi+S7y5mf5tzu2UA/CJq0wQCooIJEEQCkZm3Iwv/AT+8EuE6n6MUjaRfZcRrv05ANp2Ym/SVpt0ocLoviWgUwIpDwvSumwLTKj2J4BJR8sSQjWOBSa670pUZRc1brs1FXItSIZyutfvaMyIOWJA8Tx5Y7j92KKtOQVlrkDsZOwQfEEnsSTR9RnQ5YTrGrHtSudcdTMLNz9BEAARSIIgFJDMWJ1E5xfxh1/yKjXH279GuPbnaLsCFQwTDOe22mgAlb9A6mmBMQnXNeILPYu/7BkizUsBCPqvSx8UStcu842DJMuI7VpEZsp7seJ5tFENNhBryRkknoqDcuZtkYx+Al94NeAIJNP/rjO3egNz548BMCbMyv1ggiAMGBFIgiAUjMxYHcPvVMRPxc0Ea24CwLbGUz77Bvxtua02ZXWNJG23ka3ev4utNwuML/SMY3mJf4xY67cc8VV7k3tMmKwuS3OW4wOqT82V8r58cE9ILswqRyDFW7MEZaztPEK1jTmDxKuq/tf73z95C2V/X4294wLUrh+j7RCqLrsjgSAIg0cEkiAIBSMzpidU/Rsv5ija8l1CNf8JgLbH4ZumSDbnsNokL2eXtYupvpeczX1YkHJbYK5FKadivi+wmeqZH0Mpi2jLPxGq+W+0LsPKkbY/ZCnv/mpIAIlWyOiZWzFpPsrVlz2CxNUeb5xhvYsyFHr3+wDYehqmUbK2moIwahGBJAhCwege0+MvexxfaC3J2DFezR7lb0UddXVOq41u0Kx67PM0xCzM5Bt9CqTcafqOONLaRCnLS42Pd3zVEUh2uLSd6v01AKiu1XQ84NRlCo9bii/0qjfESkzOCBJfjGE2e/tU8l0AdMsW59aYNgSTFoSxhwgkQRAKSmZMj4ruxRdaiy/4CpZ1LPAYmOn4n+5WG6+JpHLrOOv9C6RcafoprPjB+IJvu9Wx4wSr7nTPWVbSTvXa72Sx+dRrhPzXQy2Eav7L2eda3LRdTaT5AidIvC4GaX2Eod5D2za0bXGOCc4Y6iUIwphABJIgCIUlI6Yn8dhJ0HIbvoo16PITIAZ2+PS+21goVzT1kebfPU0/ZTVKRE7AH34JAG3VE237hmeR0bq8oGn7ebPOybZLbJpEoA6s+EzCdY0ko0e58yJt/bJrvSBxQ+0AwLarUaoDZXRi7/0Iom7vyLAIJEEoBuK4FgShKChDYR51MgCmuQ4V3+7sCE3o+2DDFTB9WZBcl164rpHIvu+57jSFP/wSicjfuKfaSXTfJcTaz3GO8e0tSF+1/pLKtvP5nwBA23VEW/4JX+h1Z14KYm3/6MzZbKLs82X4PrUcu/rvnPF6MrbtuNPsHRtRcUcgqSrJYBOEYiACSRCEomE0HIBtTUCpOIa1ytkYzkMgqfwEErguvYZlJK0vOBvsCiLNS+nY8Qjads5j+HZgJc9wTm0OvfUolW0XaV5KsNLp+WgG1xOsviM9RvuJ7lvkzncnbl9d6Njl7DcmoM2POf/v2YShP3D214oFSRCKgQgkQRCKhjIMbPN4AAyjxdlWnkdKej/qIDFnOb5PLSf08Z0AWPYR+P72aqqvrMG2HfEQmrsb30Ex55RqTv8WUQC8bLt9S4i2fhNwSh+kYqa09qNUgkDl/zj7jE7wtTv7upx1aXMCOniQc8LWDSjjIwCMCQcM5VIEYcwgAkkQhKKiq0/M3lCRjwXJjUHKw4Lk0eHG5ISm4Z/px/AZaNNxSRnqQ5TlNKrVZnlvZygamVlzkT3/jtZpF1+keSkt7+0k0ryUcN3PsO0AAEawyRkQdSxI+Ouh0rEgGR2rUSrpCKsJk4dmEYIwxhCBJAhCUVFT52bdt7rq0HYfafZeDFL+vdjodASSDk33Nmn/VOefjq2QcFLqKYFAys62uykr2y5FdN8SIs1LMYy4s6HNCc4m7jT4JTgBVec0ADYMJ27JtqegjD5D3gVBGACSxSYIQvFYtxx2xbz0dYCuR8uJrG516iWNA+Ys73mcF4Nk5f1QKubG5FRkxOSEpkEHENkGptOgNrPMwFDRPdsuEfkEycgnAbIqgMeSl+NL3I3fvw3aHBeaSrgCqaweNelg2ETaNWdI/JEgFAsRSIIgFI3kXvDt/gmWNQHTtxttl4EuI+i7Dt+ORpIsy3kR0q4FSfXDgqSsD8EEVZ0hGiocgaTi29AB17JUAoHUW1PcFOG6RnwzfOh5PyByz1H42YbudAQS9m7H1l9WjzFpFlr7UMpxPWr/dARBKA4ikARBKAq5+qTZ1jivKW2keSmx3YuoPlX3TLt3BZLuRwySUm7ae11aIKnqGdAEytqOtsY7G31D72KDvpvi+sdBwlDEqHN2RBwXm9KOBUlV1KN8fix7Jqa5GQDbmI62czx/giAMGhFIgiAUhcw+aWZgHYGKRzB8H3riyLGiOK1GevRAUykLUn4CSXe0YhitABiT0nWB1PgZsBEMtQ1tuxlg/tIIpLya4iYSRJUrkGKOQDLcPmzGvj+QfOop7NgBmGWOQEp+OJnITX24KwVBGBASpC0IQlHIzNzq3HWrG4ek0TqQ5WLK1RdNGakstvxcbPauLc6tXYsqq/S2GxNmuOdrB8vNCiuVQHJJtVcJHBHAP9Pfw/oTMWqccckmdKQTZXQAYEcq8O24GqX2eWPtxHTXXXk1yb1DtgRBGBOIQBIEoShkZW7V/KfTY0wHUCpOqPb6nONSpGKQIE8L0t4tzq2emj2HsgpsuxYAg43ORn9FnisoDZ1mNQBK78BucWsg6QAdb13hNAAOv+yN9Zf/2bPIdaxb1Hd2oCAIeSMCSRCEopDK3MqMOWp5r8mt99PoNJetUrn7ovVXILW6Kf5mz6DllGjyClX6hz5Iuz90+pxmtoZqQre6Askej253M93a/sHZph3hmXJX6jbHdScIQmEQgSQIQlHI6pOWkbmVqvcTrmukYs6NuQOMjX6m+XdscYYHcwgkM9uqRLC0Lra+aPc5Fi5ldMCe9wCwdbq4ZmTvj93GtuTlrhQEYWCIQBIEoWik+qTFkpdnbY9Zl5NsWOYEFueiv4Uio9uc2/IcAik4LXtDYHgLpLgviLYdkaT3vubcqrRAClb/tyeO8nFXCoIwMCSLTRCE4pFP5lYuUkHaebrYVHKr83OvKkfhxPA0iGWMDQ7vGCQAW0/EpAPVuc7ZEJiQVWgyZZFLuS/BEZ053ZWCIAwI+TQJglB0UplbeZMqFJmnQDK0Y0FSOTrbq8rp0JKxITS8Y5AAtJoEvIthrQcTCNbnLDSZug3XNeJvCOxfdAqC0C9EIAmCMPzoh4tNJ+Iow60ZNGFWzwE102Fb+q4KDX8LkvZNAhsM062mHazHNy6+30KTvborBUEYECKQBEEYfpgpa1PfQdr2rq2YSqN1EFVX32O/Gp8dl6TCI0AgBRogmrEhPAHmXDwwd6UgCANCBJIgCMOPfqT5671Ok1rbnoqZo7O9MX6q1yxXawWBUCFnWhR0KFsgqfKJ6f/7664UBGFASBabIAjDjzwFkrY11lYnFV4zNWehROUPoG1XYOgyklut4V9QsXxS9v3KnpYxQRCKi1iQBEEYfvgcC4milxikdctJ7sVthvs+1IHVOZWO7n3J3HEkpmKYO9B2GR2/6UBVquHdv6xyctZdo2ZSLwMFQSgWYkESBGH4sR8LkrY1ia02vh1XE/Rdh+H7EAA7ObVHX7LkXvDtuBqU089MayeDbbj3L1PV2QJJ1YgFSRCGGrEgCYIw/PAEUkaQ9jrHGtT+2qXQcRmh2iThukas+EwA/BV/xBd4h0jzUmK7F1H1Sdu1MMW9WkHYZVmtT2K7F1F9qs5dzbuE6JqG9P92BQTCJZyNIIxNxIIkCMLww0wJpLSLLWUNCvmdytHRfUuItvwTZmALgCeOUn3JYq/E0O2a6L4lxDvPBMAIbMgqtDjc+pcZb/4bR7f9ichvfGjbsXbZ1gRab2ol+dRyWLe8lNMThDGFWJAEQRh2KF/AuVWOeNG2zrIGKXM7hm8ngfLHvWO09mf3JduXDsSOtlxGoHwlSulh3b/M3quYYd5BxFePbU3ENN5HW+Ndl2AjSZbJRVsQhgixIAmCMOzQXrq+42JLbk161qDIvksJVf+6hzhSKpHdl6w27Tbzh59xxw3f/mXa1nS+sZgut5GvF39ltHhWr451i4Z/Bp4gjBJEIAmCMPxIxSClLEgZVp5k5LSsoZHmpbS8t5OIKyxCtdejqhTB44KoSpUVc9TyXlOPccOlf1lKBMb2LSHSvBTT75T/7u46HE4uQUEYzQyPK4MgCEImvlQhRCcGKdPKE6z+z5yHdO9LZviWj6j+ZZki0GlEex1KWWhtDluXoCCMZkQgCYIw7FBuqxGlbLRtOe003G72gfKVACQif0My8ikvQy26b0mPvmS+cYyY/mWZIjBUe70rjnwolSRUe70nkoaLS1AQRjsikARBGH6YGZcmy0L5Tc8aZMVnYAY+IN5+HvH2rwGONcg3w4fvc1dnW4TmLB8x/ctSIjDguy4r0y7lIgRH2A0Xl6AgjHbkkyYIwvAjUyAlE+APeNYgY9t/AWDFDwLS1iD/OKCXekYjoX+ZMhTlR96Af+fIcAkKwmhHBJIgCMMPX4aYsdyg5DnLMdtbUDuuBiD46aMwxlcMS2vQQDHGaT746JtUJy9nuLsEBWG0IwJJEIThR4YFSVsJUnYh68M38QG21UDwuNHXfsM+/Ie89sGjnH1uGWqHGtYuQUEY7YhAEgRh+OHVQQIS6WraeudbANjGwaO6RslIcAkKwmhnNF9jBEEYoSjDQGv395uVUfenZQMAOnRoCWYlCMJYQgSSIAjDE1cgaTttQVJdjkCi6pBSzEgQhDGECCRBEIYpPS1Iytrk3E44rBQTEgRhDCECSRCEYYnGjUOyHAuSjscwjPcBMKYcXqppCYIwRhCBJAjC8ES7QcquBcn+cKNTXdquQI2bXMKJCYIwFhCBJAjCMMWNQXItSPbOt51bDkEZcukSBKG4yFVGEIRhSraLjb1uin9AArQFQSg+IpAEQRiWaFwXm51E2zqd4m8e4twXBEEoIiKQBEEYprhZbO/cQetNrajERgDiWw6k9aZWkk8th3XLSzU5QRBGOSKQBEEYpjgCydf5K4K+azH97wBgJQ4i6LsO346rSe4t5fwEQRjNiEASBGGY4gikWNtXCdf9BGV0obWfQMUfCdc5He871i0Sd5sgCEVBBJIgCMOSVKuReOeXiLV91d2aJFx3LZHmpUT3LUG3aZJbk72fRBAEYYCIQBIEYZjiCCRFEivhZK4ppdE6QHTfEm+U7hALkiAIhUcEkiAIwxQ3SFslCFTcC4DWJkrFCdVe741SFaoUkxMEYZTjK/UEBEEQcmI4af7+8vvxBZ0Mto4d9+ELvUS4rhGAmHU5vulyGRMEofDIlUUQhOGJci5PwcoHvU1W7CiSkVMBCNc14m8IoIzlJZicIAijHRFIgiAMT5RTSduyj8A01mMlZqHtGsCxHPkbAvjGlXB+giCMakQgCYIwTHEraesIALZ5NOV/V46qUPim+8RyJAhCURGBJAjC8ET5QINpvuvcH3csgSMCpZ2TIAhjhmGRxXbzzTczc+ZMQqEQJ554Ii+99NJ+x7e0tLBgwQIaGhoIBoMcfPDBPProo97+xsZGjj/+eCorK6mvr+ecc85h48aNWec47bTTUEpl/X37298uyvoEQeg/WmX/flMNx5VoJoIgjEVKLpDuvfdeFi9ezLJly1i7di1HHXUUZ511Frt27co5Ph6Pc+aZZ7Jlyxbuu+8+Nm7cyO23386UKVO8MatWrWLBggW88MILrFy5kkQiwbx58+js7Mw618UXX8yOHTu8v+uuu66oaxUEoT9kCyRjlggkQRCGjpK72G644QYuvvhiLrroIgBuvfVWHnnkEVasWMGVV17ZY/yKFStobm7mueeew+93YhRmzpyZNeaxxx7Lun/XXXdRX1/PmjVrOOWUU7ztZWVlTJo0qcArEgShIBh+sJ1/LWsmZrVEZAuCMHSUVCDF43HWrFnD0qVLvW2GYXDGGWfw/PPP5zzmoYceYu7cuSxYsIAHH3yQCRMm8PWvf50rrrgC0zRzHtPa2gpAXV1d1vbf/va33H333UyaNInPf/7zXHXVVZSVleU8RywWIxaLeffb2toASCQSJBKJ/BfdB6lzFfKcIwlZv6w/desj/Xm2fcdgj4HnRF5/WX/m7VhjqNaf7/lLKpD27NmDZVlMnDgxa/vEiRPZsGFDzmPee+89nnzySebPn8+jjz7K5s2b+e53v0sikWDZsmU9xtu2zaJFizj55JM54ogjvO1f//rXmTFjBpMnT2bdunVcccUVbNy4kT/+8Y85H7exsZGrr766x/a//OUvvYqqwbBy5cqCn3MkIeuX9Z/SESUQcu43d87khUcehTFSNFtef1n/WKbY6+/q6sprXMldbP3Ftm3q6+u57bbbME2TY489lu3bt3P99dfnFEgLFixg/fr1PPvss1nbv/Wtb3n/H3nkkTQ0NHD66afz7rvvcuCBB/Y4z9KlS1m8eLF3v62tjWnTpjFv3jyqqqoKtr5EIsHKlSs588wzPRfiWELWL+vf+sg3mFXzMXRTNbgCqazlk5zacSrlR96AMU5jH/7D0k60SMjrL+uX9Rd//SkPUF+UVCCNHz8e0zTZuXNn1vadO3f2GhvU0NCA3+/PcqfNnj2bpqYm4vE4gUA6DXjhwoU8/PDDrF69mqlTp+53LieeeCIAmzdvzimQgsEgwWCwx3a/31+UF7JY5x0pyPrH7vrD0QqCu39MwpcOyrZiRxEMXYd/ZyNJY9mof27G8usPsn5Zf3HXn++5S5rFFggEOPbYY3niiSe8bbZt88QTTzB37tycx5x88sls3rwZ27a9bZs2baKhocETR1prFi5cyP3338+TTz7JrFmz+pzLa6+9BjgCTBCE0qBtTXD7vxNpXoo//AoAVmIGwer/JlzXSKR5KR3rFqFtXeKZCoIw2il5mv/ixYu5/fbb+dWvfsXbb7/Nd77zHTo7O72stvPPPz8riPs73/kOzc3NXHrppWzatIlHHnmEa665hgULFnhjFixYwN13380999xDZWUlTU1NNDU1EYk4FXnfffddfvSjH7FmzRq2bNnCQw89xPnnn88pp5zCnDlzhvYJEATBw9pmEUwEie5bQiLyNwAYvm2eOIruW4Ju0yS3Jks8U0EQRjslj0H66le/yu7du/nhD39IU1MTRx99NI899pgXuL1161YMI63jpk2bxuOPP85ll13GnDlzmDJlCpdeeilXXHGFN+aWW24BnGKQmdx5551ceOGFBAIB/vrXv3LjjTfS2dnJtGnT+PKXv8wPfvCD4i9YEIRe0Z1py1C0+V/xTf4CStloHSC6b0l6XIdYkARBKC4lF0jgxAotXLgw576nn366x7a5c+fywgsv9Ho+rfd/8Zw2bRqrVq3q1xwFQSg+qjydpuYLP49SoHUApeKEaq/3RJKqGCPpbIIglIySu9gEQRBSmNNMYv4YodrrPbday3tNRJqXEq5rJFR7ParKaVYrCIJQTOQqIwjCsEEZitiUHxA27/BijgDvNlzXiL8hgDKWl26SgiCMCUQgCYIwrIiEOkjUXUVs12Ig7S6PWZfjbwjgk44jgiAMASKQBEEYVmwMfI0DT/ks1Z/ykdyaRHdoVIXjVhPLkSAIQ4UIJEEQhiXKUPhnjt1ieYIglBYJ0hYEQRAEQeiGCCRBEARBEIRuiEASBEEQBEHohggkQRAEQRCEbohAEgRBEARB6IYIJEEQBEEQhG6IQBIEQRAEQeiGCCRBEARBEIRuiEASBEEQBEHohlTSHiBaOz2i2traCnreRCJBV1cXbW1t+P1jr4qwrF/WL+uX9cv6Zf3FXH/qezv1Pd4bIpAGSHt7OwDTpk0r8UwEQRAEQegv7e3tVFdX97pf6b4klJAT27b56KOPqKysRClVsPO2tbUxbdo0tm3bRlVVVcHOO1KQ9cv6Zf2yflm/rL+Y69da097ezuTJkzGM3iONxII0QAzDYOrUqUU7f1VV1Zj8gKSQ9cv6Zf2y/rGKrL/469+f5SiFBGkLgiAIgiB0QwSSIAiCIAhCN0QgDTOCwSDLli0jGAyWeiolQdYv65f1y/pl/bL+4YAEaQuCIAiCIHRDLEiCIAiCIAjdEIEkCIIgCILQDRFIgiAIgiAI3RCBJAiCIAiC0A0RSMOMm2++mZkzZxIKhTjxxBN56aWXSj2lotDY2Mjxxx9PZWUl9fX1nHPOOWzcuDFrTDQaZcGCBYwbN46Kigq+/OUvs3PnzhLNuHj85Cc/QSnFokWLvG1jYe3bt2/nH//xHxk3bhzhcJgjjzySV155xduvteaHP/whDQ0NhMNhzjjjDN55550SzrgwWJbFVVddxaxZswiHwxx44IH86Ec/yuoLNdrWvnr1aj7/+c8zefJklFI88MADWfvzWW9zczPz58+nqqqKmpoavvnNb9LR0TGEqxg4+1t/IpHgiiuu4Mgjj6S8vJzJkydz/vnn89FHH2WdY7Suvzvf/va3UUpx4403Zm0vxfpFIA0j7r33XhYvXsyyZctYu3YtRx11FGeddRa7du0q9dQKzqpVq1iwYAEvvPACK1euJJFIMG/ePDo7O70xl112GX/605/4wx/+wKpVq/joo4/40pe+VMJZF56XX36Z//qv/2LOnDlZ20f72vft28fJJ5+M3+/nz3/+M2+99RY/+9nPqK2t9cZcd9113HTTTdx66628+OKLlJeXc9ZZZxGNRks488Fz7bXXcsstt/DLX/6St99+m2uvvZbrrruOX/ziF96Y0bb2zs5OjjrqKG6++eac+/NZ7/z583nzzTdZuXIlDz/8MKtXr+Zb3/rWUC1hUOxv/V1dXaxdu5arrrqKtWvX8sc//pGNGzfyhS98IWvcaF1/Jvfffz8vvPACkydP7rGvJOvXwrDhhBNO0AsWLPDuW5alJ0+erBsbG0s4q6Fh165dGtCrVq3SWmvd0tKi/X6//sMf/uCNefvttzWgn3/++VJNs6C0t7frgw46SK9cuVKfeuqp+tJLL9Vaj421X3HFFfoTn/hEr/tt29aTJk3S119/vbetpaVFB4NB/T//8z9DMcWi8bnPfU5/4xvfyNr2pS99Sc+fP19rPbrXrrXWgL7//vu9+/ms96233tKAfvnll70xf/7zn7VSSm/fvn3I5l4Iuq8/Fy+99JIG9AcffKC1Hhvr//DDD/WUKVP0+vXr9YwZM/TPf/5zb1+p1i8WpGFCPB5nzZo1nHHGGd42wzA444wzeP7550s4s6GhtbUVgLq6OgDWrFlDIpHIej4OPfRQpk+fPmqejwULFvC5z30ua40wNtb+0EMPcdxxx/GVr3yF+vp6jjnmGG6//XZv//vvv09TU1PWc1BdXc2JJ5444p+Dk046iSeeeIJNmzYB8Prrr/Pss89y9tlnA6N77bnIZ73PP/88NTU1HHfccd6YM844A8MwePHFF4d8zsWmtbUVpRQ1NTXA6F+/bducd955LFmyhMMPP7zH/lKtX5rVDhP27NmDZVlMnDgxa/vEiRPZsGFDiWY1NNi2zaJFizj55JM54ogjAGhqaiIQCHgXiBQTJ06kqampBLMsLL/73e9Yu3YtL7/8co99o33tAO+99x633HILixcv5l//9V95+eWXueSSSwgEAlxwwQXeOnN9Hkb6c3DllVfS1tbGoYceimmaWJbFj3/8Y+bPnw8wqteei3zW29TURH19fdZ+n89HXV3dqHtOotEoV1xxBV/72te8hq2jff3XXnstPp+PSy65JOf+Uq1fBJJQchYsWMD69et59tlnSz2VIWHbtm1ceumlrFy5klAoVOrplATbtjnuuOO45pprADjmmGNYv349t956KxdccEGJZ1dcfv/73/Pb3/6We+65h8MPP5zXXnuNRYsWMXny5FG/dmH/JBIJzj33XLTW3HLLLaWezpCwZs0a/uM//oO1a9eilCr1dLIQF9swYfz48Zim2SNTaefOnUyaNKlEsyo+Cxcu5OGHH+app55i6tSp3vZJkyYRj8dpaWnJGj8ano81a9awa9cuPv7xj+Pz+fD5fKxatYqbbroJn8/HxIkTR+3aUzQ0NHDYYYdlbZs9ezZbt24F8NY5Gj8PS5Ys4corr+Qf/uEfOPLIIznvvPO47LLLaGxsBEb32nORz3onTZrUI1klmUzS3Nw8ap6TlDj64IMPWLlypWc9gtG9/meeeYZdu3Yxffp073r4wQcf8M///M/MnDkTKN36RSANEwKBAMceeyxPPPGEt822bZ544gnmzp1bwpkVB601Cxcu5P777+fJJ59k1qxZWfuPPfZY/H5/1vOxceNGtm7dOuKfj9NPP5033niD1157zfs77rjjmD9/vvf/aF17ipNPPrlHWYdNmzYxY8YMAGbNmsWkSZOynoO2tjZefPHFEf8cdHV1YRjZl17TNLFtGxjda89FPuudO3cuLS0trFmzxhvz5JNPYts2J5544pDPudCkxNE777zDX//6V8aNG5e1fzSv/7zzzmPdunVZ18PJkyezZMkSHn/8caCE6y9a+LfQb373u9/pYDCo77rrLv3WW2/pb33rW7qmpkY3NTWVemoF5zvf+Y6urq7WTz/9tN6xY4f319XV5Y359re/radPn66ffPJJ/corr+i5c+fquXPnlnDWxSMzi03r0b/2l156Sft8Pv3jH/9Yv/POO/q3v/2tLisr03fffbc35ic/+YmuqanRDz74oF63bp3+4he/qGfNmqUjkUgJZz54LrjgAj1lyhT98MMP6/fff1//8Y9/1OPHj9eXX365N2a0rb29vV2/+uqr+tVXX9WAvuGGG/Srr77qZWnls97PfOYz+phjjtEvvviifvbZZ/VBBx2kv/a1r5VqSf1if+uPx+P6C1/4gp46dap+7bXXsq6HsVjMO8doXX8uumexaV2a9YtAGmb84he/0NOnT9eBQECfcMIJ+oUXXij1lIoCkPPvzjvv9MZEIhH93e9+V9fW1uqysjL9d3/3d3rHjh2lm3QR6S6QxsLa//SnP+kjjjhCB4NBfeihh+rbbrsta79t2/qqq67SEydO1MFgUJ9++ul648aNJZpt4Whra9OXXnqpnj59ug6FQvqAAw7Q3//+97O+DEfb2p966qmcn/cLLrhAa53fevfu3au/9rWv6YqKCl1VVaUvuugi3d7eXoLV9J/9rf/999/v9Xr41FNPeecYrevPRS6BVIr1K60zyrcKgiAIgiAIEoMkCIIgCILQHRFIgiAIgiAI3RCBJAiCIAiC0A0RSIIgCIIgCN0QgSQIgiAIgtANEUiCIAiCIAjdEIEkCIIgCILQDRFIgiAI3VBK8cADD5R6GoIglBARSIIgjCouvPBCzjnnnFJPQxCEEY4IJEEQBEEQhG6IQBIEYdRy2mmncckll3D55ZdTV1fHpEmTWL58edaYd955h1NOOYVQKMRhhx3GypUre5xn27ZtnHvuudTU1FBXV8cXv/hFtmzZAsCGDRsoKyvjnnvu8cb//ve/JxwO89ZbbxVzeYIgFBERSIIgjGp+9atfUV5ezosvvsh1113Hv/3bv3kiyLZtvvSlLxEIBHjxxRe59dZbueKKK7KOTyQSnHXWWVRWVvLMM8/wf//3f1RUVPCZz3yGeDzOoYceyk9/+lO++93vsnXrVj788EO+/e1vc+2113LYYYeVYsmCIBQAaVYrCMKo4sILL6SlpYUHHniA0047DcuyeOaZZ7z9J5xwAp/+9Kf5yU9+wl/+8hc+97nP8cEHHzB58mQAHnvsMc4++2zuv/9+zjnnHO6++27+/d//nbfffhulFADxeJyamhoeeOAB5s2bB8Df/u3f0tbWRiAQwDRNHnvsMW+8IAgjD1+pJyAIglBM5syZk3W/oaGBXbt2AfD2228zbdo0TxwBzJ07N2v866+/zubNm6msrMzaHo1Geffdd737K1as4OCDD8YwDN58800RR4IwwhGBJAjCqMbv92fdV0ph23bex3d0dHDsscfy29/+tse+CRMmeP+//vrrdHZ2YhgGO3bsoKGhYeCTFgSh5IhAEgRhzDJ79my2bduWJWheeOGFrDEf//jHuffee6mvr6eqqirneZqbm7nwwgv5/ve/z44dO5g/fz5r164lHA4XfQ2CIBQHCdIWBGHMcsYZZ3DwwQdzwQUX8Prrr/PMM8/w/e9/P2vM/PnzGT9+PF/84hd55plneP/993n66ae55JJL+PDDDwH49re/zbRp0/jBD37ADTfcgGVZ/Mu//EspliQIQoEQgSQIwpjFMAzuv/9+IpEIJ5xwAv/0T//Ej3/846wxZWVlrF69munTp/OlL32J2bNn881vfpNoNEpVVRW//vWvefTRR/nNb36Dz+ejvLycu+++m9tvv50///nPJVqZIAiDRbLYBEEQBEEQuiEWJEEQBEEQhG6IQBIEQRAEQeiGCCRBEARBEIRuiEASBEEQBEHohggkQRAEQRCEbohAEgRBEARB6IYIJEEQBEEQhG6IQBIEQRAEQeiGCCRBEARBEIRuiEASBEEQBEHohggkQRAEQRCEbohAEgRBEARB6Mb/B5olr2bwVtrSAAAAAElFTkSuQmCC",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
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"data": {
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
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"text/plain": [
|
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"<Figure size 640x480 with 1 Axes>"
|
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]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
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}
|
|
],
|
|
"source": [
|
|
"for i in range(batch_valid-cnt_thrown_idx):\n",
|
|
" actual = pd.concat([pd.DataFrame(X_valid[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_valid[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(actual)\n",
|
|
" forecast = pd.concat([pd.DataFrame(X_valid[i], columns = ['XRP', 'ETH', 'LTC', 'BTC']), \n",
|
|
" pd.DataFrame(y_hat[i].reshape(frwd, n_features), columns = ['XRP', 'ETH', 'LTC', 'BTC'])], \n",
|
|
" ignore_index = True)\n",
|
|
" # print(forecast)\n",
|
|
"# =================== XPR ======================== \n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['XRP'], label = 'actual XRP', marker = 'o', color = 'black')\n",
|
|
" ax.plot(forecast.index, forecast['XRP'], label = 'forecast XRP', marker = 'x', color = 'orange')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('XRP Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== ETH ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['ETH'], label = 'actual ETH', marker = 'o', color = 'blue')\n",
|
|
" ax.plot(forecast.index, forecast['ETH'], label = 'forecast ETH', marker = 'x', color = 'red')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('ETH Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== LTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['LTC'], label = 'actual LTC', marker = 'o', color = 'green')\n",
|
|
" ax.plot(forecast.index, forecast['LTC'], label = 'forecast LTC', marker = 'x', color = 'purple')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('LTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()\n",
|
|
"# =================== BTC ========================\n",
|
|
" fig, ax = plt.subplots()\n",
|
|
" ax.plot(actual.index, actual['BTC'], label = 'actual BTC', marker = 'o', color = 'violet')\n",
|
|
" ax.plot(forecast.index, forecast['BTC'], label = 'forecast BTC', marker = 'x', color = 'orange')\n",
|
|
" # Add labels and a title\n",
|
|
" ax.set_xlabel('Index')\n",
|
|
" ax.set_ylabel('Values')\n",
|
|
" ax.set_title('BTC Time Series Plot')\n",
|
|
" ax.legend() # Add legend\n",
|
|
" ax.grid(True) # Add grid\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d2bbb8b0-01bd-4dce-bfcb-6dc4bd7d1172",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"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": "3.11.0rc1"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|