What are some common mistakes to avoid when using AI and ML in trading, and how can these mistakes be prevented?

While AI and ML have the potential to revolutionize trading, there are several common mistakes that traders should avoid to ensure their success. Here are some of the most common mistakes and ways to prevent them: 1. Overfitting: Overfitting occurs when a model is trained too well on historical data, to the point where it starts to memorize the data instead of generalizing from it. This can result in a model that performs well on historical data but fails to predict future market trends. To avoid overfitting, traders should use techniques such as cross-validation and regularization, which help to ensure that the model is not overfitting to the data. 2. Lack of interpretability: One o....