feat: implement ETHUSDT adaptive threshold classifier 15m strategy (closes #215)

This commit is contained in:
Stanley Isaac
2026-05-21 18:32:58 +00:00
parent a9a8b24cba
commit 2ad8a97383
4 changed files with 216 additions and 1 deletions
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{
"pair": "ETHUSDT",
"timeframe": "15m",
"model_family": "LightGBM",
"runtime_target": "edge",
"artifact_format": "weights_bundle",
"parameters": {
"lookback": 100,
"horizon": 3,
"threshold": 0.003,
"min_confidence": 0.5
},
"training_requirements": [
"numpy",
"pandas",
"scikit-learn",
"lightgbm",
"joblib"
],
"inference_requirements": [
"numpy",
"pandas",
"scikit-learn",
"lightgbm",
"joblib"
],
"symbol": "ETHUSDT",
"description": "ETHUSDT adaptive threshold classifier strategy using LightGBM",
"disclaimer": "Educational template only. Not financial advice."
}