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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
Author (1):
Pushpak Dagade Pushpak Dagade
Profile icon Pushpak Dagade

Table of Contents (16) Chapters

Preface Handling and Manipulating Date, Time, and Time Series Data Stock Markets - Primer on Trading Fetching Financial Data Computing Candlesticks and Historical Data Computing and Plotting Technical Indicators Placing Regular Orders on the Exchange Placing Bracket and Cover Orders on the Exchange Algorithmic Trading Strategies - Coding Step by Step Algorithmic Trading - Backtesting Algorithmic Trading - Paper Trading Algorithmic Trading - Real Trading Other Books You May Enjoy Appendix I
Appendix II
Appendix III

Creating timedelta objects

The datetime module provides a timedelta class, which can be used to represent information related to date and time differences. In this recipe, you will create timedelta objects and perform operations on them.

How to do it…

Follow along with these steps to execute this recipe:

  1. Import the necessary module from the Python standard library:
>>> from datetime import timedelta
  1. Create a timedelta object with a duration of 5 days. Assign it to td1 and print it:
>>> td1 = timedelta(days=5)
>>> print(f'Time difference: {td1}')

We get the following output:

Time difference: 5 days, 0:00:00
  1. Create a timedelta object with a duration of 4 days. Assign it to td2 and print it:
>>> td2 = timedelta(days=4)
>>> print(f'Time difference: {td2}')

We get the following output:

Time difference: 4 days, 0:00:00
  1. Add td1 and td2 and print the output:
>>> print(f'Addition: {td1} + {td2} = {td1 ...
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