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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

MACD-Bracket-Order strategy – fetching backtesting logs in real time

After submitting a backtesting job on the AlgoBulls platform, the AlgoBulls backtesting engine starts executing the strategy. During its execution, every event that occurs and the decisions that have been made by the AlgoBulls backtesting engine are recorded with exact timestamps in the form of textual logs. Examples of recorded activities include the given strategy config, every new candle generated at regular intervals, trades punched in by your strategy, the entry and exit of positions created by these trades, waits for new candles, and so on. These logs are quintessential for validating the strategy's behavior and debugging behavioral or performance issues that are frequently encountered while developing a strategy.

In this recipe, you will fetch backtesting logs for your strategy. The logs start coming up as soon as your submitted backtesting job reaches the 'STARTED' state. The AlgoBulls platform...

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