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Python Algorithmic Trading Cookbook

You're reading from  Python Algorithmic Trading Cookbook

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781838989354
Pages 542 pages
Edition 1st Edition
Languages
Author (1):
Pushpak Dagade Pushpak Dagade
Profile icon Pushpak Dagade

Table of Contents (16) Chapters

Preface 1. Handling and Manipulating Date, Time, and Time Series Data 2. Stock Markets - Primer on Trading 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+
  • Python packages: pyalgotrading ($ pip install pyalgotrading)

The latest Jupyter notebook for this chapter can be found on GitHub at https://github.com/PacktPublishing/Python-Algorithmic-Trading-Cookbook/tree/master/Chapter06.

The first thing needed for setting connectivity with the broker is getting the API keys. The broker would provide each customer with unique keys, typically as an api-key and api-secret key pair. These API keys are chargeable, usually on a monthly subscription basis. You need to get your copy of api-key and api-secret from the broker website before starting this. You can refer to Appendix I for more details.

The following steps will help you to set up the broker connection with Zerodha, which will be used by all of the recipes in this chapter. Please make sure you have followed these steps before trying out any recipe:

  1. Import the necessary modules...
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