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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

MACD-Bracket-Order strategy – fetching the strategy

In this recipe, you will fetch the StrategyMACDBracketOrder strategy class from your account on the AlgoBulls platform, which you uploaded while going through the last recipe in the previous chapter. This recipe starts with setting up a connection to the AlgoBulls platform, querying all available strategies in your account, and fetching details of the required strategy class, StrategyMACDBracketOrder.

Make sure you have gone through the last six recipes of the previous chapter to get a complete picture of the strategy class we will be using; that is, StrategyMACDBracketOrder.

How to do it…

We execute the following steps for this recipe:

  1. Import the necessary modules:
>>> from pyalgotrading.algobulls import AlgoBullsConnection
  1. Create a new AlgoBulls connection object:
>>> algobulls_connection = AlgoBullsConnection()
  1. Fetch the authorization URL:
>>> algobulls_connection.get_authorization_url...
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