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.

Item Information Item Information

Format: TradePaperback
Author: Conlan, Chris
ISBN: 9798632784986
Condition: New
Dimensions: 11.02 x 0.27
Number Of Pages: 128
Publication Year: 2020

Language: English

Algorithmic Trading with Python: Quantitative Methods and Strategy Development

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