Generative Adversarial Networks (GANs) can be used to generate synthetic Forex data that mimics real market conditions. This augmented data can be used to train and test AI models, improving their robustness without relying solely on historical data. By generating a wide variety of market scenarios, GANs allow Forex traders to develop and test strategies in a more controlled and diverse data environment. This enhances model performance in unpredictable real-world market conditions. #AITradingAffectsForex