#AITradingAffectsForex Investigating the effects of AI model complexity on trading performance is crucial for optimizing trading strategies. As AI models become increasingly complex, they can capture more nuanced patterns in market data, but they also risk overfitting and decreased interpretability. Research has shown that increasing model complexity can lead to improved trading performance up to a point, but beyond that point, performance may degrade. This is because complex models are more prone to overfitting, especially when training data is limited. To investigate the effects of AI model complexity on trading performance, researchers can use techniques such as: - Cross-validation to evaluate model performance on unseen data - Walk-forward optimization to evaluate model performance over time - Model interpretability techniques to understand how complex models make predictions By understanding the relationship between AI model complexity and trading performance, traders can optimize their models to achieve better results, while minimizing the risks associated with overfitting and decreased interpretability.