10 Tips For Evaluating The Backtesting Using Historical Data Of An Ai Stock Trading Predictor
Testing an AI prediction of stock prices on historical data is crucial to assess its performance potential. Here are ten tips for evaluating backtesting and ensure that the results are correct. 1. To ensure adequate coverage of historical data, it is important to maintain a well-organized database. The reason is that testing the model in different market conditions requires a significant quantity of data from the past. What should you do: Ensure whether the backtesting period is comprised of diverse…