Description
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
Publisher: Independently Published
Published: 04/09/2020
Pages: 128
Binding Type: Paperback
Weight: 0.69lbs
Size: 11.02h x 8.50w x 0.27d
ISBN13: 9798632784986
BISAC Categories:
- Business & Economics | Investments & Securities | Analysis & Trading Strategies
Author: Chris Conlan
Publisher: Independently Published
Published: 04/09/2020
Pages: 128
Binding Type: Paperback
Weight: 0.69lbs
Size: 11.02h x 8.50w x 0.27d
ISBN13: 9798632784986
BISAC Categories:
- Business & Economics | Investments & Securities | Analysis & Trading Strategies
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