Algorithmic Trading with Python: Quantitative Methods and Strategy Development - Chris Conlan - Books - Independently Published - 9798632784986 - April 9, 2020
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Algorithmic Trading with Python: Quantitative Methods and Strategy Development

Chris Conlan

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Algorithmic Trading with Python: Quantitative Methods and Strategy Development

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.


128 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released April 9, 2020
ISBN13 9798632784986
Publishers Independently Published
Pages 128
Dimensions 278 × 216 × 11 mm   ·   312 g
Language English  

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