Algorithmic Trading with Python: Quantitative Methods and Strategy Development (Paperback) (ISBN-13: 9798632784986)

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.

Author: Chris Conlan
ISBN-10: 8632784986
ISBN-13: 9798632784986
Publisher: Independently Published
Language: English
Published: 04/09/2020
Pages: 128
Format: Paperback
Weight: 0.69lbs
Size: 11.00h x 8.50w x 0.27d