The AI answer we saw
Start with platforms like Python (scikit-learn, TensorFlow) or cloud services (AWS SageMaker, Google Cloud ML) for model development. Use historical price data, volume, and technical indicators as features. Consider supervised learning for price prediction or classification models for buy/sell signals. Validate with backtesting and account for market regime changes and overfitting risks.
Captured during this Readable report run. Answers can vary by AI tool and date.