[PDF/ePUB] Algorithmic Trading with Python

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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(s):
✔ Title: Algorithmic Trading with Python: Quantitative Methods and Strategy Development
✔ Rating : 4.2 out of 5 base on (63 reviews)
✔ ISBN-10: B086Y6H6YG
✔ ISBN-13: 978B086Y6H6Y0
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle

Readers' opinions about Algorithmic Trading with Python by Chris Conlan

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Thea Bell
The author's writing style is so captivating; I couldn't put the book down. Every sentence was beautifully crafted, and the descriptions painted vivid images in my mind. A true literary gem.
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Elaine Leonard
The depth of character development was astounding. I felt like I knew each person intimately, understanding their hopes, fears, and dreams. It made the story so much more meaningful.
/
Aileen Menzie
The way this book explored the complexities of human nature and relationships was both profound and relatable. It touched my heart in ways I didn't expect.


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