OHLCVPredictor/INFERENCE_README.md

OHLCV Predictor - Simple Inference

Refactored for easy reuse in other projects.

Usage

from predictor import OHLCVPredictor

predictor = OHLCVPredictor('model.json')
predictions = predictor.predict(your_ohlcv_dataframe)

Files Needed

Copy these 5 files to your other project:

1. predictor.py
2. custom_xgboost.py
3. feature_engineering.py
4. technical_indicator_functions.py
5. xgboost_model_all_features.json

Data Requirements

Your DataFrame needs these columns:

• Open, High, Low, Close, Volume, Timestamp

Dependencies

xgboost >= 3.0.2
pandas >= 2.2.3
numpy >= 2.2.3
scikit-learn >= 1.6.1
ta >= 0.11.0
numba >= 0.61.2