LoadingLoading
The following are recommended introductory books for beginners in quantitative finance:
The following are recommended introductory books for beginners in quantitative finance:
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.
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.
Upgrade to unlock all institutional-grade algorithms, derivative pricing engines, factor backtesting frameworks, and live QuantLab execution.
Explore Membership Access
Pre-order · £490Quantitative analytics platform
Waitlist closed — signal locked. Pre-order TQH TERMINAL now at £490 with launch-day delivery.