Python Algorithmic Trading Cookbook
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Attributes of a financial instrument

Financial instruments have various attributes that give more insight into the instrument, such as the trading symbol, exchange, segment, tick size, and so on. Some of these attributes are also needed while placing orders. This recipe lists and explains all the attributes supported by the broker. All the attributes are static, meaning they don't change during the live trading hours.

Getting ready

Make sure the instruments object is available in your Python namespace. Refer to the Fetching the list of financial instruments recipe of this chapter to set it up.

How to do it…

List all the attributes of a financial instrument provided by the broker:

>>> list(instruments.columns)

We get the following output:

['instrument_token',
'exchange_token',
trading-symbol,
'name',
'last_price',
'expiry',
'strike',
'tick_size',
'lot_size',
'instrument_type',
'segment',
exchange]

How it works…

The Fetching a list of financial instruments recipe fetches all the instruments as a pandas.DataFrame object. Calling its columns attribute returns all the columns available. Each column is an attribute for every financial instrument. You can find more details at https://kite.trade/docs/connect/v3/market-quotes/#csv-response-columns.