137 lines
4.7 KiB
Python
137 lines
4.7 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__ = "10.05.2022"
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__version__ = "1.0.1"
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__license__ = "None"
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import helper_functions as hf
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import investpy
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import pandas
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from currency_converter import CurrencyConverter
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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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try:
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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()) # retrieve currency from data
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# should always be Euro because of countries=['germany']
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recent_data = pandas.DataFrame(search_result.retrieve_recent_data()) # stock prices of last few days
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stock_price = recent_data.iloc[-1]["Close"] # retrieve latest stock price
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stock_price = round(float(stock_price), 2)
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str_return =str(stock_price) + " " + str(currency) # return + currency
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return str_return
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except RuntimeError: # if no shares are found for germany (e.g. isin: US.....)
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try:
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my_Converter = CurrencyConverter() # need a currency converter
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search_result = investpy.search_quotes(text=str_search_for, products=['stocks'], n_results=1)
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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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#convert stock price from currency to EUR
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stock_price = my_Converter.convert(float(stock_price), str(currency), 'EUR')
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stock_price = round(float(stock_price), 2)
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str_return = str(stock_price) + " EUR"
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return str_return
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except RuntimeError:
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return "None"
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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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try:
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search_result = investpy.search_quotes(text=str_search_for, products=['stocks'],
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countries=['germany'], 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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stock_price = round(float(stock_price), 2)
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return stock_price
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except RuntimeError:
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my_Converter = CurrencyConverter()
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search_result = investpy.search_quotes(text=str_search_for, products=['stocks'], n_results=1)
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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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stock_price = my_Converter.convert(float(stock_price), str(currency), 'EUR')
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stock_price = round(float(stock_price), 2)
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str_return = str(stock_price)
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return str_return
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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'], 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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def get_share_information_markdown(str_search_for):
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try:
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search_result = investpy.search_quotes(text=str_search_for, products=['stocks'],
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countries=['germany'], n_results=1)
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except RuntimeError as e:
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return hf.make_markdown_proof(f"no shares found for \"{str_search_for}\"") # if no shares are found, make error message markdown proof and return
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except ConnectionError as e:
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return hf.make_markdown_proof(f"connection not possible. Try again later.") # if no connection, make error message markdown proof and return
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str_return = f'*{hf.make_markdown_proof(search_result.name)}*\n_{hf.make_markdown_proof(search_result.symbol)}_\nworth: {hf.make_markdown_proof(get_share_price(str_search_for))}'
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return str_return
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def get_share_information_simple(str_search_for):
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search_result = investpy.search_quotes(text=str_search_for, products=['stocks'],
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countries=['germany'], n_results=1)
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str_return = search_result.name + "\n" + search_result.symbol + "\nworth: " + get_share_price(str_search_for)
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return str_return
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if __name__ == "__main__":
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print("None")
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