#AITradingAffectsForex AI-driven classification of Forex news into high- and low-impact events involves using machine learning and natural language processing (NLP) to assess news relevance and potential market impact. Key Aspects: 1. Feature Extraction: AI analyzes key factors such as economic indicators, central bank decisions, geopolitical events, and financial reports. 2. Sentiment Analysis: Determines whether news is bullish, bearish, or neutral toward a currency. 3. Historical Impact Analysis: AI learns from past events to predict the likely effect of similar news. 4. Market Reaction Prediction: Uses real-time data to classify news as high-impact (causing volatility) or low-impact (minimal effect). 5. Automated Alerts & Decision Support: Traders receive categorized news in real-time to enhance decision-making. By leveraging AI, Forex traders can filter out noise, focus on impactful news, and make informed trading decisions faster.