60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
"""
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script for share fetching (by symbols (e.g. AAPL, TSLA etc.))
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"""
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__author__ = "Florian Kellermann, Linus Eickhoff"
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__date__ = "15.03.2022"
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__version__ = "1.0.0"
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__license__ = "None"
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import investpy
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import pandas
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def get_share_price(str_search_for):
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"""get stock price per share for company name or isin or symbol
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Args:
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str_search_for (string): search for this string/isin
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Returns: none
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"""
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search_result = investpy.search_quotes(text=str_search_for, products=['stocks'], n_results=1, countries=['germany'])
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currency = str(search_result.retrieve_currency())
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recent_data = pandas.DataFrame(search_result.retrieve_recent_data())
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stock_price = recent_data.iloc[-1]["Close"]
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str_return =str(stock_price) + " " + str(currency)
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return str_return
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def get_share_price_no_currency(str_search_for):
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"""get stock price per share for company name or isin or symbol no currency
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Args:
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str_search_for (string): search for this string/isin
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Returns: none
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"""
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search_result = investpy.search_quotes(text=str_search_for, products=['stocks'],
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countries=['germany', 'united states'], n_results=1)
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recent_data = pandas.DataFrame(search_result.retrieve_recent_data())
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stock_price = recent_data.iloc[-1]["Close"]
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return stock_price
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def get_share_information(str_search_for):
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search_result = investpy.search_quotes(text=str_search_for, products=['stocks'],
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countries=['germany', 'united states'], n_results=1)
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str_return = "Company: " + search_result.name + "\nSymbol: " + search_result.symbol + "\nCurrent Price/Share: " + get_share_price(str_search_for)
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return str_return
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