Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781838989354
Length 542 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Pushpak Dagade Pushpak Dagade
Author Profile Icon Pushpak Dagade
Pushpak Dagade
Arrow right icon
View More author details
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 – coding the __init__, initialize, name, and versions_supported methods

This recipe demonstrates the initial coding of the StrategyEMARegularOrder class. The complete class will be coded by the end of the EMA-Regular-Order strategy – coding the strategy_exit_position method recipe of this chapter. In this recipe, you will code the following methods:

  • __init__()
  • initialize()
  • name()
  • versions_supported()

To learn more about the EMA technical indicator, please refer to the Trend indicator – exponential moving average recipe of Chapter 5, Computing and Plotting Technical Indicators.

Please refer to the flowchart in the introduction of this chapter to understand how the AlgoBulls core engine calls the __init__() and initialize() methods during strategy execution.

Getting ready

Make sure you have the StrategyBase and pyalgotrading constants in your Python namespace. Refer to the Technical requirements section of this chapter to set it up.

How...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image