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.
Product details
- Paperback | 128 pages
- 216 x 280 x 7mm | 313g
- 09 Apr 2020
- Independently Published
- English
- 9798632784986
- 17,570
Download Algorithmic Trading with Python : Quantitative Methods and Strategy Development (9798632784986).pdf, available at buonoitaliankitchen.com for free.
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