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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

Product type Paperback

Published in Aug 2020

Publisher Packt

ISBN-13 9781838989354

Length 542 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Financial Technology

Author (1):

Pushpak Dagade

View More author details

Table of Contents (16) Chapters

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

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Appendix I

1. Appendix II

2. Appendix III

Technical requirements

You will need the following to successfully execute the recipes in this chapter:

Python 3.7+
Python package:
pyalgotrading ($ pip install pyalgotrading)

The latest Jupyter notebook for this chapter can be found on GitHub at https://github.com/PacktPublishing/Python-Algorithmic-Trading-Cookbook/tree/master/Chapter10.

The rest of the chapter is locked

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Authors (1)

Dagade

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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