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.
Details e-book Algorithmic Trading with Python: Quantitative Methods and Strategy Development
🗸 Author(s): Chris Conlan
🗸 Title: Algorithmic Trading with Python: Quantitative Methods and Strategy Development
🗸 Rating : 4.2 from 5 stars (55 reviews)
🗸 ISBN-10: B086Y6H6YG
🗸 ISBN-13: 978B086Y6H6Y0
🗸 Languange: English
🗸 Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
🗸 Supported Devices: Android, iOS, PC and Amazon Kindle
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