# Python for Algorithmic：Trading From Idea to Cloud Deployment

> 金屋电子书图书详情的 Markdown 版本。

- 规范页面：https://pdfs.top/book/svkop
- Markdown 版本：https://pdfs.top/book/svkop.md
- 作者：Yves Hilpisch
- ISBN：9781492053354
- 出版社：O'Reilly
- 出版日期：2021-01-01
- 语言：english
- 分类：计算机、编程
- 评分：0
- 可用格式：PDF+EPUB（43.32 MB，325 页）
- 更新时间：2026-08-04 12:23:20

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### PDF+EPUB

- 文件格式：PDF+EPUB
- 文件大小：43.32 MB
- 页数：325 页
- 下载说明：请打开规范页面 https://pdfs.top/book/svkop，点击 PDF+EPUB 的下载按钮完成下载。


## 内容简介

Financial trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading.

You’ll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field.

Set up a proper Python environment for algorithmic trading

Learn how to retrieve financial data from public and proprietary data sources

Explore vectorization for financial analytics with NumPy and pandas

Master vectorized backtesting of different algorithmic trading strategies

Generate market predictions by using machine learning and deep learning

Tackle real-time processing of streaming data with socket programming tools

Implement automated algorithmic trading strategies with the OANDA and FXCM platforms