量化交易必读书籍推荐：从入门到精通

以下是一些被认为是量化交易最好的书籍：

'量化交易策略：基于统计套利'(Quantitative Trading Strategies: Harnessing the Power of Quantitative Techniques to Create a Winning Trading Program) - by Lars Kestner
'算法交易：从技术到应用'(Algorithmic Trading: Winning Strategies and Their Rationale) - by Ernie Chan
'统计套利策略'(Statistical Arbitrage: Algorithmic Trading Insights and Techniques) - by Andrew Pole
'量化交易：如何构建和测试交易策略'(Quantitative Trading: How to Build Your Own Algorithmic Trading Business) - by Dr. Ernest P. Chan
'时间序列分析与应用'(Time Series Analysis and Its Applications: With R Examples) - by Robert H. Shumway and David S. Stoffer
'金融计量学'(Financial Econometrics) - by Ruey S. Tsay
'高频交易'(High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems) - by Irene Aldridge
'量化投资：策略与技术'(Quantitative Investment Analysis) - by Richard A. DeFusco, Dennis W. McLeavey, Jerald E. Pinto, and David E. Runkle
'统计学习方法'(The Elements of Statistical Learning: Data Mining, Inference, and Prediction) - by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
'Python金融量化'(Python for Finance: Analyze Big Financial Data) - by Yves Hilpisch