Backtesting & System Design

This article outlines systematic backtesting for trend-following strategies. It details entry/exit rules, risk management, and practical application across multiple timeframes.

This article explores advanced backtesting for volatility breakout strategies. It features dynamic risk management and specific entry/exit parameters.

This article describes quantitative backtesting for arbitrage strategies. It outlines statistical models, specific entry/exit rules, and practical applications.

This article discusses adaptive backtesting using machine learning for dynamic position sizing. It outlines a strategy applying reinforcement learning to optimize trade allocations based on real-time market conditions.

This article explores event-driven backtesting for macroeconomic news trading strategies. It details a specific setup for trading Non-Farm Payrolls (NFP) releases.

This article details multi-asset backtesting for portfolio diversification using correlation analysis. It outlines a strategy for constructing a balanced portfolio across uncorrelated assets.

This article explores regime-switching backtesting for adaptive trading strategies. It details a system that dynamically adjusts strategy parameters based on identified market regimes.

This article details robust backtesting of mean reversion strategies. It focuses on specific entry/exit rules and risk parameters for volatile market conditions.