Trading Strategies

Advanced trend-following strategy using ensemble ML models to identify high-probability entries with dynamic risk management.

Statistical mean reversion strategy that identifies overextended price movements using Bollinger Bands and RSI thresholds.

Identifies and trades key support/resistance breakouts with volume confirmation and Fibonacci extensions for targets.

Machine learning model that predicts volatility expansion opportunities and trades them with dynamic position sizing.

Natural language processing model that analyzes news sentiment and social media to predict short-term price movements.

Statistical arbitrage strategy that identifies correlated pairs and trades deviations from their historical relationship.