Algorithmic Trading Algorithmic Trading with Python: Quantitative Methods and Strategy Development, Book 1, (Paperback)
SHP 63
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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.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Business & Investing |
| Publication date | April, 2020 |
| Pages | 128 |
| Subgenre | Investments & Securities |
| Series title | Algorithmic Trading |
| Number in series | 1 |
| Edition | 1 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 11 in |
| Assembled product weight | 0.69 lb (310 grams) |
| Bisac subject heading | Business & Economics |
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Algorithmic Trading Algorithmic Trading with Python: Quantitative Methods and Strategy Development, Book 1, (Paperback)
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