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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
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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 Japanese (OHLC) candlestick pattern

The historical data of a financial instrument is an array of candlesticks. Each entry in the historical data is a single candlestick. There are various types of candlestick patterns.

This recipe demonstrates the most commonly used candlestick pattern the Japanese candlestick pattern. It is a type of candlestick pattern where each candlestick holds a duration and indicates all the prices the instrument would have taken on during that duration. This data is represented using four parameters Open, High, Low, and Close. These can be described as follows:

  • Open: The price of the financial instrument at the beginning of the candle's duration
  • High: The highest recorded price of the financial instrument during the entire duration of the candle
  • Low: The lowest recorded price of the financial instrument during the entire duration of the candle
  • Close: The price of the financial instrument at the end of...
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