Tag: Best Quantitative Trading Books
Finding Ultra: Rejecting Middle Age, Becoming One of the World’s Fittest Men, and Discovering Mysel (by Rich Roll)
Finding Ultra is a process in which a spinning top on a steel wire, a middle-aged man in urgent need of lubrication, reverses through diet and sports and breaks away from the desperate “normal life”.
Python for Finance: Mastering Data-Driven Finance (by Yves Hilpisch)
Python for Finance is the only professional book that explains in detail the use of Python to analyze and process financial data. Compulsory for practitioners in the field of financial application development.
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (by William McKinney)
Python for Data Analysis contains a lot of practical cases. You will learn how to use various Python libraries (including NumPy, pandas, matplotlib, and IPython) to solve differ data analysis problems
Python Crash Course, 2nd Edition: A Hands On, Project-Based Introduction to Programming (by Eric Matthes)
Python Crash Course is an introduction to Python for all levels. The book is divided into two parts.
Way of the Turtle: The Secret Methods that Turned Ordinary People into Legendary Traders (by Curtis Faith)
The author of this book is one of the most successful turtles in this experiment. In his book, he first revealed the whole experiment process and the mysterious Way of the Turtle in the eyes of outsiders.
Trading and Exchanges: Market Microstructure for Practitioners (by Larry Harris)
Trading and Exchanges is an extension of the lecture notes of the course “Trading and Exchange” offered by Professor Larry Harris at the University of Southern California in the United States.
The Quants: How a New Breed of Math Whizzes Conquered Wall Street and Nearly Destroyed It (by Scott Patterson)
The Quants is a book about the alternative life of top financial masters on Wall Street.
Quantitative Trading: How to Build Your Own Algorithmic Trading Business (by Ernest P. Chan)
Quantitative Trading starts with how to screen reliable trading strategies, introduces the historical backtesting methods and precautions of trading strategies in detail, and provides code cases.
Algorithmic Trading and DMA (by Barry Johnson)
Algorithmic Trading and DMA are important tools to help buyers and sellers achieve optimal execution.
Inside the Black Box: A Simple Guide to Quantitative and High Frequency Trading (by Rishi K. Narang)
Inside the Black Box is to enable readers and even investors who are afraid of mathematics or technology to understand quantitative trading.