I’ll help you build a Python backtesting engine to simulate and refine trading strategies using real historical data. We’ll incorporate powerful economic signals like OECD LEIs and volatility filters, and explore predictive models using Random Forests, LSTM networks, and other ML tools when relevant. The output includes strategy logic, key performance metrics, and a clean, extensible codebase.