What is wrong with my Symbol conversion code?

Marc_Belen24

Hello Team please check the following code.

The output that I want is USA country code specific but it is showing Exchanges from Thailand and Vienna.

Also my asset class are code for funds, equities, certificates and bonds but Commodities futures also show in my output.

Here is the code:

from lseg.data.content import symbol_conversion

import lseg.data as ld

import pandas as pd

my_tickers = ['AIG PR A', 'PTT', 'BRKa', 'ANPA', 'BADDDDYYYYYDDY', 'DNB', 'VRA', 'LAWR', 'STR', 'TYO']

ld.open_session()
response = symbol_conversion.Definition(

symbols=my_tickers,

from_symbol_type=symbol_conversion.SymbolTypes.TICKER_SYMBOL,


to_symbol_types=[

    symbol_conversion.SymbolTypes.RIC


],

# preferred_country_code = "G:6J", # USA USA = "G:6J"


preferred_country_code = symbol_conversion.CountryCode.USA,


asset_class=[


    symbol_conversion.AssetClass.FUNDS,


    symbol_conversion.AssetClass.EQUITIES,


    symbol_conversion.AssetClass.CERTIFICATES,


    symbol_conversion.AssetClass.BONDS,


    ],


asset_state=symbol_conversion.AssetState.ACTIVE,

).get_data()

ld.close_session()

response = pd.DataFrame(response.data.df).reset_index().rename(columns={'index': 'Ticker'})

print(response)

from lseg.data.content import symbol_conversion

import lseg.data as ld

import pandas as pd

my_tickers = ['AIG PR A', 'PTT', 'BRKa', 'ANPA', 'BADDDDYYYYYDDY', 'DNB', 'VRA', 'LAWR', 'STR', 'TYO']

ld.open_session()
response = symbol_conversion.Definition(

symbols=my_tickers,

from_symbol_type=symbol_conversion.SymbolTypes.TICKER_SYMBOL,


to_symbol_types=[

    symbol_conversion.SymbolTypes.RIC


],

# preferred_country_code = "G:6J", # USA USA = "G:6J"


preferred_country_code = symbol_conversion.CountryCode.USA,


asset_class=[


    symbol_conversion.AssetClass.FUNDS,


    symbol_conversion.AssetClass.EQUITIES,


    symbol_conversion.AssetClass.CERTIFICATES,


    symbol_conversion.AssetClass.BONDS,


    ],


asset_state=symbol_conversion.AssetState.ACTIVE,

).get_data()

ld.close_session()

response = pd.DataFrame(response.data.df).reset_index().rename(columns={'index': 'Ticker'})

print(response)

Is there something wrong with my code? Or this should be checked by content team?

Jirapongse

@Marc_Belen24

Thank you for reaching out to us.

This interface resolves multiple symbols to one best match each.

As far as I know, PTT is a ticker for PTT.BK. PTT.BK is the best match for this PTT ticker.

For example, if I use this function to search for AAPL, it will return AAPL.O.

If I want a RIC in the Toronto exchange, I need to specify the preferred_country_code parameter and it will return AAPL.TO.

However, if I set the preferred_country_code parameter to a country that doesn't have the AAPL stock, it will return AAPL.O which is the best match.

As the name suggests (preferred…), this parameter simply promotes any matching results to the top of the list.