Quantitative Trading Strategies with Python: A Practical Guide to Building, Back

$23.34

Quantitative Trading Strategies with Python by Xingxiong Zhu, George Chu

Estimated delivery 3-12 business days

Format Paperback

Condition Brand New

Description Most trading ideas look convincing until they meet bad data, trading costs, and the next market Trading Strategies with Python is a practical guide for Python-literate investors who want to turn market ideas into transparent, testable research. Rather than promising a shortcut to profits, it teaches the process that credible quantitative work requires: write the rule, validate the data, backtest without obvious bias, measure the risk, and decide whether the evidence is strong enough to justify further paper , you will learn how to: build a lean, reproducible Python research environment;avoid look-ahead bias, survivorship bias, and misleading backtests;implement trend following, cross-sectional momentum, mean reversion, and pairs-research frameworks;model signal timing, portfolio weights, turnover, and transaction costs;evaluate CAGR, drawdown, volatility, exposure, and robustness together;use walk-forward testing and holdout periods to challenge an encouraging idea; anddesign risk budgets and a paper-trading operating strategy chapter combines plain-English intuition with Python examples, tables, diagrams, failure modes, and a practical exercise. The approach is deliberately transparent: learn not only how to construct a rule, but also how to recognise when a historical result does not deserve book is for educational purposes only. It is not investment advice and does not promise trading results.

Details

ISBN-13 9798192611692
Title Quantitative Trading Strategies with Python
Author Xingxiong Zhu, George Chu
Format Paperback
Year 2026
Pages 132
Publisher Independently Published

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