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Algorithmic Trading with Python: Quantitative Methods and Strategy Development
Chris Conlan
Algorithmic Trading with Python: Quantitative Methods and Strategy Development
Chris Conlan
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 · 340 g |
Language | English |
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