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You can use the dict that gets returned to create an investpy As an alternative, you can use my wrapper package tessa (https://github.com/ymyke/tessa) like so: import tessa
tessa.price_history(
query='{"id_": 1158767, "name": "Volkswagen Leasing GmbH VOWGL 1.125 04-Apr-2024", "symbol": "XS1692347526=TX", "country": "italy", "tag": "/rates-bonds/xs1692347526", "pair_type": "bonds", "exchange": "EuroTLX"}',
type_="searchobj",
) |
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Thank you,
Your solution is also able to get all the data from the asset ? Thank you |
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That is currently not possible. For that you'd have to go via the investpy searchobj. |
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Hello,
I have used the function:
search_result = investpy.search_quotes(text='volkswagen', products=['bonds'],
countries=['italy'], n_results=1)
and I got the result
{"id_": 1158767, "name": "Volkswagen Leasing GmbH VOWGL 1.125 04-Apr-2024", "symbol": "XS1692347526=TX", "country": "italy", "tag": "/rates-bonds/xs1692347526", "pair_type": "bonds", "exchange": "EuroTLX"}
But from here I am not able to get the latest prices or historical data for this bond.
How can I do it ?
Thank you
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