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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 – coding the strategy_select_instruments_for_entry method

In this recipe, you will continue coding the StrategyMACDBracketOrder class. Here, you will code the strategy_select_instruments_for_entry() method, a mandatory method enforced by the StrategyBase base class. This method is called by the AlgoBulls core engine on every new candle for backtesting, paper trading, and real trading services.

Please refer to the flowchart in the introduction of this chapter to understand how the AlgoBulls core engine calls the strategy_select_instruments_for_entry() method during strategy execution.

Getting ready

Make sure you have followed the previous recipe to create the StrategyMACDBracketOrder class before starting this recipe.

How to do it…

Continue coding the StrategyMACDBracketOrder class. Define two new methods—a method for getting the crossover value between the MACD line and MACD history signals and a method for selecting instruments from instruments_bucket...

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