#!/usr/bin/env python3
"""
Train XAUUSD H1 ensemble ONNX model (demo with synthetic data if no real feed).
Run: python3 python/ml_pipeline/train_onnx.py
"""

import sys
sys.path.insert(0, str(__file__).rsplit("/", 2)[0])

from ml_pipeline.train_onnx import main

if __name__ == "__main__":
    main()