Python for Algorithmic Trading Cookbook
recipes for designing, building, and deploying algorithmic trading strategies with python
$112.32
- Paperback
406 pages
- Release Date
16 August 2024
Summary
Pythonic Algorithmic Trading: Recipes for Success
Description:
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment.
Key Features:
- Follow practical Python recipes to acquire, visualize, and store market data for market research.
- Design, backtest, and evaluate the performance of trading strate…
Book Details
| ISBN-13: | 9781835084700 |
|---|---|
| ISBN-10: | 1835084702 |
| Author: | Jason Strimpel |
| Publisher: | Packt Publishing Limited |
| Imprint: | Packt Publishing Limited |
| Format: | Paperback |
| Number of Pages: | 406 |
| Release Date: | 16 August 2024 |
| Weight: | 0g |
| Dimensions: | 235mm x 191mm |
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About The Author
Jason Strimpel
Jason Strimpel is the founder of PyQuant News and co-founder of Trade Blotter, with a career spanning over 20 years in trading, risk management, and data science. He previously traded for a Chicago-based hedge fund, served as a risk manager at JPMorgan, and managed production risk technology for an energy derivatives trading firm in London. In Singapore, Jason served as the APAC CIO for an agricultural trading firm and built the data science team for a global metals trading firm. He holds degrees in finance and economics and a Master’s in quantitative finance from the Illinois Institute of Technology. His career has taken him across America, Europe, and Asia. Jason shares his expertise through the PyQuant Newsletter, social media, and teaches the course “Getting Started With Python for Quant Finance.”
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