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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
Computing and Plotting Technical Indicators

Technical analysis is a discipline in trading that employs mathematical functions, called technical indicators, to predict and find profitable opportunities in stock markets. Technical indicators analyze data based on past and current prices and volumes of a financial instrument and give out statistical information. This helps in predicting where the future prices of a financial instrument may go (either up or down). With this knowledge, you as a trader can make informed decisions when trading and hence increase your odds of success.

Technical indicators do not take into account any of the fundamental aspects of the business of the underlying financial instrument, such as revenue, earnings, profit, and so on. However, they do take past and current prices and volumes into account, which helps in predicting short-term price movements...

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