Python for Algorithmic Trading
From Idea to Cloud Deployment
$102.37
- Paperback
350 pages
- Release Date
30 November 2020
Summary
The financial industry is adopting Python at an increasing rate.
Top hedge funds use the language on a daily basis for quantitative research, data exploration, and analysis and for prototyping, testing, and executing trading strategies. There’s also a rise in trading activity by individuals and small groups of traders, including many from the technology world.
This book is ideal for Python developers, tech-savvy discretionary traders, data analysts, and people who want to beco…
Book Details
| ISBN-13: | 9781492053354 |
|---|---|
| ISBN-10: | 149205335X |
| Author: | Yves Hilpisch |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 350 |
| Release Date: | 30 November 2020 |
| Weight: | 664g |
| Dimensions: | 178mm x 233mm |
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Yves Hilpisch
Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants, a group that focuses on the use of open source technologies for financial data science, algorithmic trading and computational finance. He is the author of the books Python for Finance (O’Reilly, 2014), Derivatives Analytics with Python (Wiley, 2015) and Listed Volatility and Variance Derivatives (Wiley, 2017). Yves lectures on computational finance at the CQF Program, on data science at htw saar University of Applied Sciences, and is the director for the online training program leading to the first Python for Finance University Certificate (awarded by htw saar).
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