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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 Handling and Manipulating Date, Time, and Time Series Data Stock Markets - Primer on Trading Fetching Financial Data Computing Candlesticks and Historical Data Computing and Plotting Technical Indicators Placing Regular Orders on the Exchange Placing Bracket and Cover Orders on the Exchange Algorithmic Trading Strategies - Coding Step by Step Algorithmic Trading - Backtesting Algorithmic Trading - Paper Trading Algorithmic Trading - Real Trading Other Books You May Enjoy Appendix I
Appendix II
Appendix III

MACD-Bracket-Order strategy — uploading the strategy on the AlgoBulls trading platform

In this recipe, you will upload the strategy class, StrategyMACDBracketOrder, which you created in the preceding five 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 the 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 pyalgostrategypool.strategy_macd_bracket_order import StrategyMACDBracketOrder
>>> from pyalgotrading.algobulls import AlgoBullsConnection
  1. Create a new AlgoBulls connection...
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