151 Trading Strategies

Unlock the Logic Behind Quantitative Trading with 151 Proven Strategies

151 Trading Strategies by Zura Kakushadze and Juan Andrés Serur is a powerhouse reference for anyone looking to master systematic trading. This book is not just a list—it’s a deep dive into 151 well-tested trading strategies that span a range of asset classes and trading styles, from intraday scalping to long-term investing.

The book’s strength lies in its balance of theory and practice. Each strategy is broken down by rationale, data assumptions, signals, and execution, making it accessible even if you’re not a PhD in finance. Whether you’re building an algorithmic model or just refining your discretionary approach, this book gives you tools to think like a quant and act like a strategist.

This is not a motivational or speculative guide. It’s an academically informed, data-driven blueprint for market participants who seek a systematic edge. It’s equally valuable for hedge fund professionals, retail traders, and finance students looking for a structured foundation in quantitative strategy design.

With nearly 500 pages of content, you’ll find practical ideas you can test, backtest, and implement directly into your trading system—without hype, fluff, or untested theory.

What You’ll Learn

• 151 fully explained trading strategies based on real market data
• Categorization of strategies into momentum, mean-reversion, arbitrage, factor models, and more
• Statistical rationale and formulae behind each setup
• Tools for evaluating signal performance and execution risk
• How to think quantitatively when developing new strategies
• Real-world examples from equities, futures, and FX markets

Key Benefits

• Saves you years of trial and error with prebuilt models
• Provides a ready-made strategy bank to implement or adapt
• Bridges academic insight with trading practicality
• Helps traders of all levels apply data-driven decision making
• A foundational text for those building algorithmic or hybrid trading systems

Who This Book Is For

• Quantitative traders looking for new strategy ideas
• Discretionary traders seeking to enhance methods with structured logic
• Data scientists and analysts entering financial markets
• Financial engineers and students in finance or applied math
• Hedge fund professionals, prop traders, and serious retail traders

Table of Contents

1. Introduction to Systematic Trading
2. Building Blocks: Data, Signals & Execution
3. Momentum Strategies
4. Mean-Reversion Techniques
5. Volatility-Based Approaches
6. Statistical Arbitrage
7. Factor Models and Multifactor Portfolios
8. Event-Driven Tactics
9. Risk Management and Execution
10. Further Research Directions