#CommunityAMA AI for Detecting Overbought/Oversold Conditions AI enhances the detection of overbought or oversold conditions in Forex and other financial markets by analyzing complex patterns in technical indicators (e.g., RSI, Stochastic Oscillator) and price data. Machine learning models—such as SVMs, neural networks, and ensemble methods—can learn from historical market conditions to improve the accuracy of signals beyond traditional threshold-based methods. These models adapt dynamically to different market regimes, reducing false signals and capturing nuanced price reversals. Integrating sentiment data and volatility measures further refines AI-driven overbought/oversold detection.