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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
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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

The datetime object and time zones

There are two types of datetime objects—time zone-naive and time zone-aware. Time zone-naive objects do not hold time zone information and timezone-aware objects hold time zone information. This recipe demonstrates multiple time zone related operations on datetime objects: creating time zone-naive and time zone-aware objects, adding time zone information to time zone-aware objects, removing time zone information from time zone-naive objects, and comparing time zone-aware and time zone-naive objects.

How to do it…

Execute the following steps for this recipe:

  1. Import the necessary modules from the Python standard library:
>>> from datetime import datetime
  1. Create a time zone-naive datetime object. Assign it to now_tz_naive and print it:
>>> now_tz_unaware = datetime.now()
>>> print(now_tz_unaware)

We get the following output. Your output may differ:

2020-08-12 20:55:50.598800
  1. Print the time zone information of...
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