btc-accumulation-monitor/config/initial_config.json
BizzleBot 8ff35c1a86 feat: complete BTC ML trading strategy optimizer
Multi-machine optimization loop:
- VPS orchestrator coordinates training and LLM analysis
- Windows PC (RTX 4070 Ti) runs XGBoost/LightGBM/CatBoost with GPU
- Mac Mini runs qwen3.5:27b via Ollama for strategy analysis

Includes 60+ technical features, walk-forward validation,
confidence-scaled position sizing, and automated convergence detection.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 21:25:44 +00:00

60 lines
1.4 KiB
JSON

{
"model_type": "xgboost",
"features": {
"technical_indicators": [
"RSI_14", "RSI_7", "RSI_21",
"MACD_line", "MACD_signal", "MACD_hist",
"BB_upper", "BB_lower", "BB_width",
"ATR_14",
"SMA_5", "SMA_10", "SMA_20", "SMA_50", "SMA_200",
"EMA_5", "EMA_10", "EMA_20", "EMA_50",
"OBV",
"stoch_k", "stoch_d",
"williams_r",
"CCI_20",
"ROC_10",
"keltner_upper", "keltner_lower"
],
"lookback_periods": [3, 5, 10, 20],
"use_volume_features": true,
"use_volatility_features": true,
"use_candle_patterns": true,
"use_lag_features": true,
"lag_periods": [1, 2, 3, 5]
},
"target": {
"type": "classification",
"direction": "long",
"horizon_candles": 6,
"threshold_pct": 1.0
},
"hyperparameters": {
"learning_rate": 0.05,
"max_depth": 6,
"n_estimators": 500,
"subsample": 0.8,
"colsample_bytree": 0.8,
"min_child_weight": 5,
"gamma": 0.1,
"reg_alpha": 0.1,
"reg_lambda": 1.0
},
"strategy": {
"entry_threshold": 0.60,
"exit_type": "trailing_stop",
"stop_loss_pct": 2.0,
"take_profit_pct": 4.0,
"trailing_stop_pct": 1.5,
"position_sizing": "confidence_scaled",
"max_position_pct": 100,
"min_confidence_to_trade": 0.55
},
"training": {
"walk_forward_windows": 5,
"train_pct": 0.7,
"validation_pct": 0.15,
"test_pct": 0.15
},
"timeframe": "4h"
}