#AIImpactOnForex Machine learning (ML) is a subset of artificial intelligence that focuses on enabling computers to learn from data without being explicitly programmed. In the realm of trading strategy design, ML algorithms can be trained on historical market data to identify complex relationships and patterns that can be used to predict future price movements or market behavior. Various ML techniques are employed, including supervised learning (where algorithms learn from labeled data to make predictions), unsupervised learning (where algorithms find hidden structures in unlabeled data), and reinforcement learning (where an agent learns through trial and error by interacting with the environment). These techniques can be used to develop trading rules, forecast volatility, perform sentiment analysis, and even dynamically adjust strategy parameters in response to changing market conditions. The ability of ML models to adapt and improve with more data makes them a powerful tool for creating sophisticated and potentially profitable trading strategies.