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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 – fetching paper trading logs in real time

After submitting a paper trading job on the AlgoBulls platform, the AlgoBulls paper trading engine starts executing the strategy. During the execution, every event that occurs and decisions taken by the AlgoBulls paper trading 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 by your strategy, the entry and exit of positions created by these trades, waits for new candles, and so on. These logs are quintessential in validating the strategy behavior and debugging behavioral or performance issues that are frequently encountered while developing a strategy.

In this recipe, you will fetch paper trading logs for your strategy. The logs start coming up as soon as your submitted paper trading job reaches the 'STARTED' state (refer to the preceding recipe for...

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