Algorithmic Trading with Python: Quantitative Methods and Strategy Development - Softcover

Conlan, Chris

Softcover

ISBN 13: 9798632784986

Publisher: Independently published, 2020

Synopsis

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.

About this title

About the Author

Chris Conlan is the founder and CEO of Conlan Scientific, a financial data science consultancy based out of Charlotte, North Carolina. He works with his team of data scientists to build machine learning solutions for banks, lenders, investors, traders, and fintech companies. Chris graduated University of Virginia's College of Arts & Sciences with a degree in statistics, where he later co-taught a data science capstone course.

Edition details

• Publisher: Independently published
• Publication date: 2020
• Language: English
• ISBN 13: 9798632784986
• Binding: Paperback
• Number of pages: 126