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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

Concepts

Financial Technology

Author (1):

Pushpak Dagade

Table of Contents (16) Chapters

Preface

1. Handling and Manipulating Date, Time, and Time Series Data

2. Stock Markets - Primer on Trading

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

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Appendix I

1. Appendix II

2. Appendix III

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Learn Algorithmic Trading
Sebastien Donadio, Sourav Ghosh

ISBN: 978-1-78934-834-7

Understand the components of modern algorithmic trading systems and strategies
Apply machine learning in algorithmic trading signals and strategies using Python
Build, visualize and analyze trading strategies based on mean reversion, trend, economic releases and more
Quantify and build a risk management system for Python trading strategies
Build a backtester to run simulated trading strategies for improving the performance of your trading bot
Deploy and incorporate trading strategies in the live market to maintain and improve profitability

Mastering Python for Finance - Second Edition
James Ma Weiming

ISBN: 978-1-78934-646-6

Solve linear and nonlinear models representing various financial...

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Authors (1)

Pushpak Dagade

Pushpak Dagade is working in the area of algorithmic trading with Python for more than 3 years. He is a co-founder and CEO of AlgoBulls, an algorithmic trading platform.

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