Simon Moisy
df37366603
- Extend regime detection to top 10 cryptocurrencies (45 pairs) - Dynamic pair selection based on divergence score (|z_score| * probability) - Universal ML model trained on all pairs - Correlation-based filtering to avoid redundant positions - Funding rate integration from OKX for all 10 assets - ATR-based dynamic stop-loss and take-profit - Walk-forward training with 70/30 split Performance: +35.69% return (vs +28.66% baseline), 63.6% win rate
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
#!/usr/bin/env python3
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"""
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Download historical data for Multi-Pair Divergence Strategy.
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Downloads 1h OHLCV data for top 10 cryptocurrencies from OKX.
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"""
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import sys
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sys.path.insert(0, '.')
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from engine.data_manager import DataManager
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from engine.market import MarketType
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from engine.logging_config import setup_logging, get_logger
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from strategies.multi_pair import MultiPairConfig
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logger = get_logger(__name__)
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def main():
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"""Download data for all configured assets."""
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setup_logging()
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config = MultiPairConfig()
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dm = DataManager()
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logger.info("Downloading data for %d assets...", len(config.assets))
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for symbol in config.assets:
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logger.info("Downloading %s perpetual 1h data...", symbol)
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try:
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df = dm.download_data(
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exchange_id=config.exchange_id,
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symbol=symbol,
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timeframe=config.timeframe,
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market_type=MarketType.PERPETUAL
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)
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if df is not None:
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logger.info("Downloaded %d candles for %s", len(df), symbol)
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else:
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logger.warning("No data downloaded for %s", symbol)
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except Exception as e:
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logger.error("Failed to download %s: %s", symbol, e)
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logger.info("Download complete!")
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if __name__ == "__main__":
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main()
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