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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 – paper trading the strategy

In this recipe, you will perform paper trading on the EMA-Regular-Order strategy. You must have fetched this strategy from your account on the AlgoBulls platform in the previous recipe. You will leverage the paper trading functionality facilitated by pyalgotrading for this recipe, which in turn submits a paper trading job on the AlgoBulls platform.

Once submitted, paper trading will be run by the AlgoBulls paper trading engine. You can query the status any time to know the state of the paper trading job. The job goes through the following states, in the following given order:

  • 'STARTING' (intermediate state)
  • 'STARTED' (stable state)
  • 'STOPPING' (intermediate state)
  • 'STOPPED' (stable state)

On submitting a job, it starts with an intermediate state, 'STARTING'. In this state, the AlgoBulls paper trading engine will fetch the strategy and get the execution environment ready,...

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