| Algorithmic Trading with Python: Quantitative Methods and Strategy Development Contributor(s): Conlan, Chris (Author) |
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ISBN: ISBN-13: 9798632784986 Publisher: Independently Published OUR PRICE: $28.49 Product Type: Paperback Published: April 2020 |
| Additional Information |
| BISAC Categories: - Business & Economics | Investments & Securities - Analysis & Trading Strategies |
| Physical Information: 0.27" H x 8.5" W x 11" (0.69 lbs) 128 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |