Algorithmic Trading with Python: Quantitative Methods and Strategy Development

Algorithmic Trading with Python: Quantitative Methods and Strategy Development

作者: Conlan Chris
出版社: Independently Published
出版在: 2020-04-09
ISBN-13: 9798632784986
ISBN-10: 9798632784986
裝訂格式: Quality Paper - also called trade paper
總頁數: 128 頁




內容描述


Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn. After establishing an understanding of technical indicators and performance metrics, readers will walk through the process of developing a trading simulator, strategy optimizer, and financial machine learning pipeline. This book maintains a high standard of reproducibility. All code and data is self-contained in a GitHub repo. The data includes hyper-realistic simulated price data and alternative data based on real securities. Algorithmic Trading with Python (2020) is the spiritual successor to Automated Trading with R (2016). This book covers more content in less time than its predecessor due to advances in open-source technologies for quantitative analysis.




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