Algorithmic Trading with Python: Quantitative Methods and Strategy Development

Conlan, Chris

ISBN 13: 9798632784986

Published by Independently published, 2020

Language: English

Condition: Used - As new Soft cover

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Bibliographic Details

Title

Algorithmic Trading with Python: Quantitative Methods and Strategy Development

Publisher

Independently published

Publication Date

2020

Language

English

ISBN 13

9798632784986

Binding

Soft cover

Condition

As New

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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.

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