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Python Algorithmic Trading Cookbook
book

Python Algorithmic Trading Cookbook

by Pushpak Dagade
August 2020
Beginner to intermediate content levelBeginner to intermediate
542 pages
10h 50m
English
Packt Publishing
Content preview from Python Algorithmic Trading Cookbook
Computing Candlesticks and Historical Data

The historical data of a financial instrument is data about all the past prices at which a financial instrument was brought or sold. An algorithmic trading strategy is always vpot_candlestickirtually executed on historical data to evaluate its past performance before it's deployed with real money. This process is called backtesting. Historical data is quintessential for backtesting (covered in detail in Chapter 8, Backtesting Strategies). Also, historical data is needed for computing technical indicators (covered in detail in Chapter 5, Computing and Plotting Technical Indicators), which help in making buy-or-sell decisions in real-time. Candlestick patterns are widely used tools for stock analysis. ...

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Publisher Resources

ISBN: 9781838989354Supplemental Content