What Machine Learning Backtesting Means in AI Trading
Machine learning backtesting can be dangerous when traders mistake historical success for real-world reliability. A profitable backtest may look convincing on paper, but it can still fail when a crypto trading model faces live volatility, shifting liquidity, slippage, fees, and sudden market regime changes. That is the central challenge with validating AI trading models. Machine […]