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You're reading from  Python Algorithmic Trading Cookbook

Product typeBook
Published inAug 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838989354
Edition1st Edition
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Author (1)
Pushpak Dagade
Pushpak Dagade
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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.
Read more about Pushpak Dagade

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Querying a list of exchanges

An exchange is a marketplace where instruments are traded. Exchanges ensure that the trading process is fair and happens in an orderly fashion at all times. Usually, a broker supports multiple exchanges. This recipe demonstrates how to find the list of exchanges supported by the broker.

Getting ready

Make sure the instruments object is available in your Python namespace. Refer to the second recipe of this chapter to learn how to set up this object.

How to do it…

Display the exchanges supported by the broker:

>>> exchanges = instruments.exchange.unique()
>>> print(exchanges)

You will get the following output:

['BCD' 'BSE' 'NSE' 'CDS' 'MCX' 'NFO']

How it works…

instruments.exchange returns a pandas.Series object. Its unique() method returns a numpy.ndarray object consisting of unique exchanges supported by the broker.

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Published in: Aug 2020Publisher: PacktISBN-13: 9781838989354
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Author (1)

author image
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.
Read more about Pushpak Dagade