#AIImpactOnForex Detecting breakouts before they occur using AI involves analyzing historical data, such as price movements, volume, and technical indicators, to predict significant price changes in financial markets. Machine learning models, particularly supervised learning algorithms like decision trees, neural networks, or reinforcement learning, are trained on vast datasets to identify patterns that precede breakouts. These AI systems can capture subtle market signals and provide early warnings by detecting anomalies or shifts in trends that human traders might miss. The key challenge is to accurately distinguish between noise and meaningful signals, ensuring the model can adapt to changing market conditions.