Trend Following in a Fractal Market

Markets aren't random. They're rough, self-similar, and driven by feedback loops that repeat across every timeframe - and the trader who understands that geometry has a real edge over one still relying on bell-curve assumptions that fat-tailed, regime-shifting markets have never obeyed. Trend Following in a Fractal Market takes the core insight of complexity science and fractal geometry - that price behavior displays statistical self-similarity, clustered volatility, and measurable persistence across scales - and turns it into a complete, practical framework for building systematic trend-following strategies. No black-box formulas, no guaranteed-return promises: a rigorous way of thinking about market structure, translated into concrete design decisions for signal construction, position sizing, and risk control. Inside, you'll learn how to: - Measure a market's persistence and roughness using the Hurst exponent, volatility clustering diagnostics, and a practical "roughness dashboard" - Detect regime shifts between trending, choppy, and stressed conditions before they show up in your account equity - Construct trend-following signals that respect fractal scaling, including multi-timescale blending and scale-consistent parameters - Size positions and manage risk for fat-tailed, non-normal returns - volatility targeting, portfolio heat, and drawdown-responsive scaling - Build entry and exit rules calibrated to a market's own volatility rather than arbitrary fixed distances - Construct a diversified, regime-aware trend-following portfolio across asset classes - Avoid the backtesting traps - overfitting, look-ahead bias, regime-blind sampling - that quietly sink sound systems - Sustain the discipline a fat-tailed return stream demands through the stretches when the edge is real but invisible What's inside: eleven chapters move from the foundations of fractal geometry and complexity science through measurement tools, regime detection, signal construction, position sizing, entry/exit mechanics, portfolio design, and rigorous backtesting protocols, closing with the psychology of trading a system through inevitable drawdowns. A full glossary of complexity and fractal terminology is included for reference. Perfect for independent systematic traders building their own strategy, quantitatively minded traders who want the reasoning behind a rule, and experienced practitioners seeking sharper language for their design choices. As a bonus, the book's robustness and walk-forward checklists double as a working reference for every stage of your research. This book does not promise profits or guaranteed returns. Trading futures, currencies, and other leveraged instruments carries substantial risk of loss, including loss beyond your initial investment, and no framework here eliminates that risk. This is an educational resource, not personalized financial advice - consult a qualified financial professional before any trading decision.