2021年新出版的新书,可以随便看看Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies
Discover how to build and backtest algorithmic trading strategies with Zipline
Discover how to perform accurate algorithmic trading using Quantopian and the pyfinance ecosystem
Key Features- Get to grips with financial statistics and stock analysis and visualize data to gain quality insights
- Find out how to systematically approach quantitative research and strategy generation in automated trading
- Learn how to navigate significant number of features in Python data manipulation libraries
What you will learn- Understand key financial theories such as the market hypothesis, the capital asset pricing model, and portfolio optimization
- Discover how quantitative analysis works, covering key techniques like financial statistics and ARIMA models
- Use core Python libraries to perform quantitative research and strategy development using real datasets
- Perform quantitative research on Quantopian financial datasets
- Build and deploy algo trading strategies
- Assemble Python libraries with backtesting frameworks and explore financial concepts to master quantitative trading
github有代码,方便大家测试学习
https://github.com/PacktPublishing/Hands-On-Financial-Trading-with-Python
如果附件链接不能点击,把资料名称拼接到百度盘地址后面就可以了