#AITradingAffectsForex In AI trading, determining positions involves using algorithms and data-driven models to decide when to enter, exit, and manage trades. Here’s a summary of the key steps: 1. Data Collection & Analysis – AI gathers historical and real-time forex data, including price action, volume, news sentiment, and macroeconomic indicators. 2. Feature Engineering – The model extracts useful trading signals (e.g., trend strength, momentum, volatility) from the data. 3. AI Model Prediction – Machine learning models (like deep learning or reinforcement learning) predict price movements and probability of trade success. 4. Trade Signal Generation – The AI sets up buy/sell signals based on predefined strategies (trend-following, mean reversion, breakout, etc.). 5. Risk Management – AI calculates position sizing, stop-loss, and take-profit levels based on volatility, leverage, and account balance.