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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
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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

Fetching historical data using the Line Break candlestick pattern

The historical data of a financial instrument can be analyzed in the form of the Line Break candlestick pattern, a candlestick pattern that focuses on price movement. This differs from the Japanese candlestick pattern, which focuses on the time movement. Brokers typically do not provide historical data for the Line Break candlestick pattern via APIs. Brokers usually provide historical data using the Japanese candlestick pattern that needs to be converted into the Line Break candlestick pattern. A shorter candle interval hints at a localized price movement trend, while a larger candle interval indicates an overall price movement trend. Depending on your algorithmic trading strategy, you may need the candle interval to be small or large. A candle interval of 1 minute is often the smallest available candle interval.

The Line Break candlestick pattern works as follows:

  1. Each candle has only open and close attributes.
  2. The user...
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