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Python Algorithmic Trading Cookbook

You're reading from   Python Algorithmic Trading Cookbook All the recipes you need to implement your own algorithmic trading strategies in Python

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781838989354
Length 542 pages
Edition 1st Edition
Languages
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Author (1):
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Pushpak Dagade Pushpak Dagade
Author Profile Icon Pushpak Dagade
Pushpak Dagade
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Toc

Table of Contents (16) Chapters Close

Preface 1. Handling and Manipulating Date, Time, and Time Series Data 2. Stock Markets - Primer on Trading FREE CHAPTER 3. Fetching Financial Data 4. Computing Candlesticks and Historical Data 5. Computing and Plotting Technical Indicators 6. Placing Regular Orders on the Exchange 7. Placing Bracket and Cover Orders on the Exchange 8. Algorithmic Trading Strategies - Coding Step by Step 9. Algorithmic Trading - Backtesting 10. Algorithmic Trading - Paper Trading 11. Algorithmic Trading - Real Trading 12. Other Books You May Enjoy Appendix I
1. Appendix II
2. Appendix III

Technical requirements

You will need the following to successfully execute the recipes in this chapter:

  • Python 3.7+
  • The following Python packages:
  • pyalgotrading ($ pip install pyalgotrading)
  • TA-Lib ($ pip install TA-Lib)

If you face errors while installing TA-Lib, it will mostly be due to missing dependencies. You can follow these instructions to fix the issue:

  • For Mac OS X, use the following:
$ brew install ta-lib
  • For Windows, use the following instructions:

You can install the latest TA-Lib binary from https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib based on your Windows build (32 bit/64 bit) and Python version. So, for example, this link on the site TA_Lib‑0.4.18‑cp38‑cp38‑win_amd64.whl, is for TA-Lib version 0.4.18 (TA_Lib-0.4.18) and Python version 3.8 (cp38) and is Windows 64-bit-compatible (win_amd64).

  • For Linux, take the following steps:

Download the gzip file from http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz and run...

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