Recommended introductory books on quantitative finance

The following are recommended introductory books for beginners in quantitative finance:

Basics of Financial Mathematics

• [A Linear Algebra Primer for Financial Engineering](Financial Mathematics/A%20Linear%20Algebra%20Primer%20for%20Financial%20Engineering/index.md)
• Difficulty: ⭐⭐⭐⭐
• Recommendation index: ⭐⭐⭐⭐⭐
• Content: Linear algebra applications in financial engineering

Introduction to Quantitative Trading

• [101 Formulaic Alphas](Quantitative Trading/101%20Formulaic%20Alphas%20-%20arXiv.org/index.md)
• Difficulty: ⭐⭐⭐⭐
• Recommendation index: ⭐⭐⭐⭐⭐
• Content: A classic introduction to factor investing

Quantitative interview preparation

• [Quant Green Book explains 60 questions in detail] (Quantitative Interview/Quant Green Book explains 60 questions in detail/index.md)
• Difficulty: ⭐⭐⭐⭐
• Recommendation index: ⭐⭐⭐⭐⭐
• Content: In-depth explanation of quantitative interview questions

Learning path suggestions

1. First master the necessary mathematical tools
2. Learn basic factor strategies
3. Understand the basic concepts of quantitative trading
4. Prepare quantitative interview questions

Recommended introductory books on quantitative trading

"Introduction to Python Quantitative Trading"

<img src="../images/python-quant-intro.jpg" alt="Introduction to Python Quantitative Trading" width="200"/>

• Author: Wang Xiaochuan
• Publisher: Electronic Industry Press
• Difficulty: ⭐⭐
• Recommendation Index: ⭐⭐⭐⭐
• PDF Download: Click to download

Introduction

This book starts with the basics of Python and gradually introduces the core concepts and practical methods of quantitative trading. Suitable for readers with zero foundation to get started with quantitative trading.

Core Chapter

1. Basic knowledge of Python
2. Data acquisition and processing
3. Technical analysis indicators
4. Strategy backtesting system
5. Real trading interface

Supporting resources

• Source code: [GitHub link]
• Dataset: [Example Data]
• Answers to exercises: [Online Documentation]

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"Quantitative Investment Strategies and Technology"

<img src="../images/quant-strategy.jpg" alt="Quantitative investment strategies and techniques" width="200"/>

• Author: Ding Peng
• Publisher: Electronic Industry Press
• Year of Publication: 2012
• Difficulty: ⭐⭐⭐
• Recommendation Index: ⭐⭐⭐⭐⭐

Introduction

This book systematically introduces the basic concepts, strategy development methods and risk management techniques of quantitative investment. Through more than 60 cases, the book deeply discusses various quantitative investment strategies such as quantitative stock selection, quantitative timing, stock index futures arbitrage, commodity futures arbitrage, statistical arbitrage, option arbitrage, algorithmic trading, and asset allocation. In terms of mathematical technology, this book covers advanced mathematical tools such as artificial intelligence, data mining, wavelet analysis, support vector machines, fractal theory, and stochastic processes, and elaborates on the specific applications of these technologies in the financial field. This book is suitable for fund managers, product managers, securities analysts, investment directors and people from all walks of life who are interested in financial investment. It is especially suitable for readers who have a certain financial foundation and want to have an in-depth understanding of quantitative investment strategies and techniques.

Core Chapter

1. Overview of Quantitative Investment
2. Stock Quantitative Strategy
3. Futures Quantitative Strategy
4. Statistical arbitrage
5. Risk management

Supporting resources

• Courseware download: [PPT link]
• Sample code: [Example program]