Algorithmic and Systematic Trading Systems: Design, Backtesting, and Live Deployment for Modern Markets by James Preston, Alice Schwartz
English | January 21, 2026 | ISBN: N/A | ASIN: B0GHZR1J37 | 478 pages | EPUB | 0.65 Mb
Reactive Publishing
Algorithmic trading has transformed the way modern markets operate. Today's winning strategies are engineered, tested, and executed through disciplined system design rather than instinct or emotion. This book is a comprehensive guide to building trading systems that perform in real markets under real constraints.
Algorithmic and Systematic Trading Systems equips traders, quants, and technical investors with a cohesive workflow for designing, validating, and deploying strategies across equities, options, futures, and FX. Readers learn how to formalize trading logic, structure data pipelines, optimize parameters without curve-fitting, and evaluate performance using robust statistical methodologies.
From historical backtesting and walk-forward validation to execution, slippage, latency, and broker integration, this book bridges the gap between research and reality. It covers critical infrastructure elements including risk engines, execution venues, API frameworks, and post-trade analytics, while addressing the behavioral and structural traps that kill most retail systems before they ever scale.
Inside you'll learn how to:
* Translate trading ideas into explicit, testable rule sets
* Construct financial datasets and factor libraries for system research
* Build and interpret backtests using realistic assumptions
* Perform walk-forward optimization and out-of-sample validation
* Evaluate strategies using risk-adjusted metrics and robustness tests
* Architect execution and brokerage integration pipelines
* Manage risk across leverage, volatility regimes, and market microstructure
* Transition strategies from simulated to live environments without degrading performance
Whether you are scaling a systematic research pipeline, deploying your first algorithm, or refining a mature trading program for competitive edge, this book provides the quantitative foundation and operational playbook required to succeed in today's algorithmic markets.
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