You might also like

More about Algorithmic Trading with Python

• Book details
• Synopsis
• Trending among others

You get 51 loyalty points

Book 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.

Book details

• Full title: Algorithmic Trading with Python
• Subtitle: Quantitative Methods and Strategy Development
• Author: Chris Conlan
• Language: English
• Binding: Paperback
• Number of pages: 128
• EAN: 9798632784986
• ID: 38307528
• Publisher: Independently Published
• Weight: 348 g
• Dimensions: 216 × 278 × 11 mm
• Date of publishing: 09. April 2020

Trending among others

---

---

---