# OHLCV Predictor - Simple Inference

Refactored for easy reuse in other projects.

## Usage

```python
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
```