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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
Tools
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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

EMA-Regular-Order strategy – uploading the strategy on the AlgoBulls trading platform

In this recipe, you will upload the strategy class, StrategyEMARegularOrder, which you created in the preceding recipes, on the AlgoBulls trading platform. Once it is uploaded, you can perform backtesting, paper trading, and real trading on the same code base.

Getting ready

Make sure you have set up your account on the AlgoBulls platform (https://algobulls.com) to get your API token. Setting up an account is free. Using its services might incur charges depending on your usage. You can start with free packages on the site. Refer to Appendix II for more details.

How to do it…

We execute the following steps for this recipe:

  1. Import the necessary modules:
>>> import inspect
>>> from pyalgotrading.algobulls import AlgoBullsConnection
>>> from pyalgostrategypool.strategy_ema_regular_order import StrategyEMARegularOrder
  1. Create a new AlgoBulls connection object:
&gt...
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