Python Quantitative Finance Programming: From Beginner to Mastery

Name: Python Quantitative Finance Programming: From Beginner to Mastery
ISBN: 9787301317259

丁奉乾Peking University Press · ChinaAug 2025

3.5

Word count: 455 words
Chapters: 20
ISBN: 9787301317259

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Summary

The rapid growth of quantitative trading has drawn increasing attention from both inside and outside the industry. Python, a powerful and easy-to-learn programming language, lets you put ideas into practice quickly. This book aims to guide readers to a preliminary understanding of quantitative trading and to help them achieve something in this field with Python.

Editor's review

This book targets the fast-growing field of quantitative trading and chooses Python as the practical tool, positioning itself to guide readers from initial understanding to real achievement. Its value lies in combining language learning with quantitative trading scenarios, helping readers understand how to turn ideas into code rather than teaching syntax in isolation or discussing strategies in the abstract. For those who want to enter the quantitative field but lack a programming background, it offers a framework for the path from beginner to proficient; for those who already know Python, the quantitative scenarios in the book can test and extend their skills. Readers should note that quantitative trading involves financial risk, data, and backtesting, and that the content must be practiced hands-on in a real environment to be truly absorbed. Treat it as a practice-oriented learning manual: write code as you read, and approach any strategy results with cautious verification rather than taking the book's examples as investment advice.

Who it's for

A good fit for

Beginners who want to enter quantitative trading and need Python as a tool
Developers with a programming background who want to apply their skills to finance
Finance professionals who want to understand how quantitative strategies are implemented in code
Students in economics, management, science, or engineering seeking a practical entry point to quantitative finance

Not a good fit for

Readers with no programming background who are unwilling to write code
People looking for proven investment strategies or guaranteed profits
Readers who want only a financial theory textbook and do not care about programming implementation

Reading tips

First confirm that your Python basics are solid; if not, build that foundation before the quantitative chapters.
Be sure to type the code in a local environment as you read, completing the small exercises in each chapter rather than just reading.
When you reach the strategy and backtesting sections, reproduce them with your own data and record the results and deviations.
Treat the book's examples as learning material, not investment advice; independent risk assessment is required for live trading.

About the publisher

Peking University Press China · Founded in 1979

Peking University Press is a comprehensive university press whose publishing areas cover classical literature, popular science, social culture, world history, Western philosophy, and culture. Its catalogue contains 6,031 titles, with representative books including A Dream of Red Mansions, Relativity: The Special and General Theory (15th Edition) (with Einstein's classic papers on unified field theory and other topics), Elements, Conics, The Aristocratic Families of the Eastern Jin, The Philosophy of Mythology (Volume I), The Philosophy of Mythology (Volume II), and The Origin of Continents and Oceans. Representative authors include Cao Xueqin, Zhou Ruchang, Albert Einstein, Euclid, Apollonius, Tian Yuqing, Schelling, and Xian Gang. The press has developed distinctive strengths in classical Chinese literature and in the translation of Western philosophical classics, while also covering scientific classics and social and cultural studies. As public information is limited, this description is based only on the books in the catalogue and offers no further extrapolation.

版权信息
内容简介
前言
基础篇
第1章初识量化交易
第2章 Python环境的搭建
第3章量化交易场景下Python基础知识的准备
高级篇
第4章用NumPy来进行数据操作
第5章借助Pandas进行数据分析
第6章通过Matplotlib对数据可视化
第7章历史数据的获取
第8章量化交易的利器
第9章时间序列分析
实战篇
第10章基于配对交易策略的回测框架的搭建
第11章机器学习实战——利用支持向量机（SVM）进行趋势预测
第12章深度学习实战——利用循环神经网络（RNN）进行价格预测
第13章接触实盘——利用vn.py进行量化交易
附录常见的Python量化交易框架介绍

FAQ

Can I read this book without any programming background?

The book uses Python to guide readers into quantitative trading and is positioned as going from beginner to proficient. With no programming background at all, direct reading may be difficult; it is advisable to first master basic Python syntax and data handling before tackling the quantitative scenarios in this book.

Will this book teach me to profit consistently?

It should not be understood that way. This is a learning book on quantitative finance programming that helps readers put ideas into practice with Python, not a source of strategies guaranteed to make money. Quantitative trading involves market risk; the examples should be treated as learning material, and live decisions require your own careful assessment.

What environment do I need to read this book?

You need a computer environment that can run Python, with the relevant libraries installed. It is best to reproduce the code and exercises as you read, especially the data processing and strategy backtesting sections; only by actually running them can you understand the key aspects of quantitative programming.

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About the author

丁奉乾 Author · China

Ding Fengqian is a book author about whom limited public information is available. His representative work is Python Quantitative Finance Programming: From Beginner to Mastery, and his books are often classified under personal finance. Judging from the subject matter, he focuses on the intersection of programming and financial investment, writing for readers who want to use Python to understand quantitative trading, build strategies, and handle financial data. Writing of this kind usually emphasizes a practical learning path, connecting programming basics, data analysis, and financial applications while balancing readability for beginners with hands-on needs. Since only one of his works is held in the collection, little can be confirmed about his life, professional background, or education, and his style and influence can only be assessed within these limits; what is clear is that the book's topic reflects a degree of knowledge in quantitative finance and programming practice and offers Chinese readers a fairly complete entry point.