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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

Modifying datetime objects

Often, you may want to modify existing datetime objects to represent a different date and time. This recipe includes code to demonstrate this.

How to do it…

Follow these steps to execute this recipe:

  1. Import the necessary modules from the Python standard library:
>>> from datetime import datetime
  1. Fetch the current timestamp. Assign it to dt1 and print it:
>>> dt1 = datetime.now()
>>> print(dt1)

We get the following output. Your output would differ:

2020-08-12 20:55:46.753899
  1. Create a new datetime object by replacing the year, month, and day attributes of dt1. Assign it to dt2 and print it :
>>> dt2 = dt1.replace(year=2021, month=1, day=1)
>>> print(f'A timestamp from 1st January 2021: {dt2}')

We get the following output. Your output would differ:

A timestamp from 1st January 2021: 2021-01-01 20:55:46.753899
  1. Create a new datetime object by specifying all the attributes directly. Assign it to dt3...
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