Algorithmic Trading with Python: Quantitative Methods and Strategy Development

By 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 reprocibility. 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.

• Format: Paperback
• Language: English
• ISBN: B086Y6H6YG
• ISBN13: 9798632784986
• Release Date: April 2020
• Publisher: Independently Published
• Length: 128 Pages
• Weight: 0.69 lbs.
• Dimensions: 0.3" x 8.5" x 11.0"