#AIImpactOnForex Building hybrid human-AI forex strategies involves combining human intuition and experience with AI's data processing and pattern recognition capabilities. AI models can analyze vast amounts of market data, identify trends, and generate trading signals at high speed, while human traders provide strategic oversight, adjust to unforeseen market events, and mitigate AI biases. Key steps: 1. Data Collection & Processing: Gather historical forex data and preprocess it for AI models. 2. AI Model Development: Train machine learning models (e.g., neural networks, reinforcement learning) to predict price movements or generate trading signals. 3. Human Oversight: Traders validate AI-generated signals, adjust risk parameters, and intervene during abnormal market conditions. 4. Backtesting & Optimization: Test the hybrid strategy on historical data to refine both AI algorithms and human decision rules. 5. Continuous Learning: AI models should adapt to new market conditions while humans provide feedback loops to fine-tune the strategy. The synergy aims for AI to handle the grunt work, while humans ensure flexibility and adaptability in dynamic forex markets.