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Overfitting and underfitting are common problems in AI models for stock trading that can affect their precision and generalizability. Here are ten suggestions to evaluate and reduce these risks when using an AI-based stock trading prediction. 1. Examine model performance using in-Sample vs. out-of-Sample information Why: High in-sample accuracy however, poor performance out-of-sample suggests overfitting, […]

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In the case of AI stock trading, using sentiment analysis is a powerful way to gain insights into the behavior of markets. This is especially the case for penny stocks and copyright where sentiment plays an important impact. Here are 10 strategies for using sentiment analysis in these markets. 1. Sentiment Analysis – What you […]

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