10 Tips For Evaluating The Backtesting Process Using Historical Data Of An Ai Stock Trading Predictor
Test the AI stock trading algorithm’s performance using historical data by testing it back. Here are 10 tips to assess the backtesting’s quality, ensuring the predictor’s results are accurate and reliable. 1. You should ensure that you have enough historical data coverage Why? A large range of historical data is needed to evaluate a model under various market conditions. How to: Make sure that the time period for backtesting covers different economic cycles (bull markets, bear markets, and flat market)…