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b0d9ebf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | """ml_predictor — standalone supervised ML price-prediction model for NSE equities.
A quantile-regression predictor (sklearn HistGradientBoosting) that outputs, per
timeframe (INTRADAY / 1D / 3D): a price estimate, buy-price suggestion, stop-loss,
and trend (BULLISH / BEARISH / NEUTRAL). Independent of the LLM debate pipeline.
Modules:
features.py — shared point-in-time numeric feature builder (all indicators + ML sub-features)
dataset.py — build training_data.csv from the ohlcv_cache.db (offline)
train.py — fit the 15 HistGBM estimators + manifest.json
infer.py — MLPredictor: predict(ticker, tf) / predict_all_tf(ticker)
See CLAUDE.md and the plan for the full design.
"""
from .features import FEATURE_COLUMNS, TIMEFRAMES, compute_features # noqa: F401
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