Python for Algorithmic Trading: From Idea to Cloud Deployment
暫譯: Python 在算法交易中的應用：從構想到雲端部署

Hilpisch, Yves

Python for Algorithmic Trading: From Idea to Cloud Deployment

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商品描述

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

商品描述(中文翻譯)

金融交易曾經是機構玩家的專屬領域，如今透過線上平台，小型組織和個人交易者也能參與其中。當前許多交易者的首選工具是 Python 及其強大的套件生態系統。在這本實用的書籍中，作者 Yves Hilpisch 向學生、學者和實務工作者展示如何在引人入勝的算法交易領域中使用 Python。

您將學習幾種將 Python 應用於算法交易不同方面的方法，例如回測交易策略和與線上交易平台互動。一些最大的買方和賣方機構大量使用 Python。通過探索系統性構建和部署自動化算法交易策略的選項，本書將幫助您縮小競爭差距。

- 設置適合算法交易的 Python 環境
- 學習如何從公共和專有數據來源檢索金融數據
- 使用 NumPy 和 pandas 探索金融分析的向量化
- 精通不同算法交易策略的向量化回測
- 通過使用機器學習和深度學習生成市場預測
- 使用 socket 程式設計工具處理串流數據的實時處理
- 在 OANDA 和 FXCM 平台上實現自動化算法交易策略

作者簡介

Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants (http: //tpq.io), 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 (http: //cqf.com), on data science at htw saar University of Applied Sciences (http: //htwsaar.de), and is the director for the online training program leading to the first Python for Finance University Certificate (awarded by htw saar).

作者簡介(中文翻譯)

Dr. Yves J. Hilpisch 是 The Python Quants（http://tpq.io）的創始人及管理合夥人，該團體專注於使用開源技術進行金融數據科學、算法交易和計算金融。他是《Python for Finance》（O'Reilly, 2014）、《Derivatives Analytics with Python》（Wiley, 2015）和《Listed Volatility and Variance Derivatives》（Wiley, 2017）等書籍的作者。Yves 在 CQF Program（http://cqf.com）教授計算金融，在 htw saar 應用科技大學（http://htwsaar.de）教授數據科學，並擔任線上培訓計劃的主任，該計劃頒發第一個 Python for Finance 大學證書（由 htw saar 頒發）。

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