Quantitative Finance with Case Studies in Python
by Chris Kelliher (2025)
Like 'Quantitative Trading Strategies', this book offers practical Python applications in finance and trading.

by Nitin Rakesh (2020)
Trader Construction Kit is a practical guide to developing the skills and techniques employed by professional traders at a bank, hedge fund or financial institution: ? Fundamentally and technically analyzing a market. ? Assessing the volatility and risk characteristics of the market. ? Developing a view, an actionable perspective on the future of price. ? Evaluating directional, spread, option & quantitative trading strategies. ? Weighing the inherent risk and reward in potential positions. ? Efficiently executing trades and managing the resulting exposures. ? New - Data Science & Programming Appendix
Get this book:
by Chris Kelliher (2025)
Like 'Quantitative Trading Strategies', this book offers practical Python applications in finance and trading.

by Marcos Lopez de Prado (2018)
Following 'Quantitative Trading Strategies', this delves deeper into machine learning for finance with advanced techniques.

by Wes McKinney (2011)
Complementing 'Quantitative Trading Strategies', this provides essential Python data analysis skills for trading.

by Joel Grus (2015)
Similar to 'Quantitative Trading Strategies', this builds core data science concepts from the ground up in Python.
by Ernie Chan (2014)
Expanding on 'Quantitative Trading Strategies', this book details the logic and strategies behind algorithmic trading.
Tell us what you love and get AI-powered recommendations tailored to your taste.
Get Personalized RecommendationsPowered by MyNextBook — AI-powered book discovery