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@ -38,7 +38,6 @@ CONFIG = EQT_CONFIG # For equity data
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```
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Each configuration dictionary specifies:
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- `security_type`: "CRYPTO" or "EQUITY".
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- `data_directory`: Path to the data files.
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- `datafiles`: A list of database files to process. You can comment/uncomment specific files to include/exclude them from the backtest.
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- `db_table_name`: The name of the table within the SQLite database.
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46
configuration/zscore.cfg
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46
configuration/zscore.cfg
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@ -0,0 +1,46 @@
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{
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"instrument_type_specifics": {
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"CRYPTO": {
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"data_directory": "./data/crypto",
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"datafiles": [
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"20250602.mktdata.ohlcv.db"
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],
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"db_table_name": "md_1min_bars",
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"exchange_id": "BNBSPOT",
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"instrument_id_pfx": "PAIR-",
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},
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"EQUITY": {
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"data_directory": "./data/equity",
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"datafiles": [
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"20250602.mktdata.ohlcv.db"
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],
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"db_table_name": "md_1min_bars",
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"exchange_id": "BNBSPOT",
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"instrument_id_pfx": "STOCK-",
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}
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},
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# ====== Funding ======
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"funding_per_pair": 2000.0,
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# ====== Trading Parameters ======
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"price_column": "close",
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"dis-equilibrium_open_trshld": 2.0,
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"dis-equilibrium_close_trshld": 0.5,
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"training_minutes": 120,
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"fit_method_class": "pt_trading.z-score_rolling_fit.ZScoreRollingFit",
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# ====== Stop Conditions ======
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"stop_close_conditions": {
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"profit": 2.0,
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"loss": -0.5
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}
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# ====== End of Session Closeout ======
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"close_outstanding_positions": true,
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# "close_outstanding_positions": false,
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"trading_hours": {
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"begin_session": "9:30:00",
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"end_session": "22:30:00",
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"timezone": "America/New_York"
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}
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}
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@ -42,14 +42,9 @@ def load_market_data(datafile: str, config: Dict) -> pd.DataFrame:
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'"' + config["instrument_id_pfx"] + instrument + '"'
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for instrument in config["instruments"]
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]
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security_type = config["security_type"]
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exchange_id = config["exchange_id"]
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query = "select"
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if security_type == "CRYPTO":
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query += " strftime('%Y-%m-%d %H:%M:%S', tstamp_ns/1000000000, 'unixepoch') as tstamp"
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query += ", tstamp as time_ns"
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else:
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query += " tstamp"
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query += ", tstamp_ns as time_ns"
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