Deep Learning Market Analysis

Deep learning experiments for market pattern analysis: - Implemented CNNs for pattern recognition + LSTMs for temporal dependencies - Developed feature pipeline extracting technical patterns and price action - Built data pipeline for historical prices and fundamentals - Designed backtesting framework with realistic cost assumptions - Implemented risk management with position sizing and stop-loss logic - Created visualization tools for analyzing predictions **Limitations**: Tested on historical data only. No live trading. Past performance doesn't predict future results. Open source (12 stars, 3 forks). Focus on proper backtesting methodology and understanding what works vs. what doesn't.