def get_quotes(inputSymbols, info=None):
"""Takes any number of stock tickers and returns information pertaining to its price.
:param inputSymbols: May be a single stock ticker or a list of stock tickers.
:type inputSymbols: str or list
:param info: Will filter the results to have a list of the values that correspond to key that matches info.
:type info: Optional[str]
:returns: If info parameter is left as None then the list will contain a dictionary of key/value pairs for each ticker. \
Otherwise, it will be a list of strings where the strings are the values of the key that corresponds to info.
"""
symbols = helper.inputs_to_set(inputSymbols)
url = urls.quotes()
payload = {'symbols': ','.join(symbols)}
data = helper.request_get(url, 'results', payload)
if (data == None or data == [None]):
return data
for count, item in enumerate(data):
if item is None:
print(helper.error_ticker_does_not_exist(symbols[count]))
data = [item for item in data if item is not None]
return (helper.filter(data, info))
def get_quotes(inputSymbols, info=None):
"""Takes any number of stock tickers and returns information pertaining to its price.
:param inputSymbols: May be a single stock ticker or a list of stock tickers.
:type inputSymbols: str or list
:param info: Will filter the results to have a list of the values that correspond to key that matches info.
:type info: Optional[str]
:returns: [list] If info parameter is left as None then the list will contain a dictionary of key/value pairs for each ticker. \
Otherwise, it will be a list of strings where the strings are the values of the key that corresponds to info.
:Dictionary Keys: * ask_price
* ask_size
* bid_price
* bid_size
* last_trade_price
* last_extended_hours_trade_price
* previous_close
* adjusted_previous_close
* previous_close_date
* symbol
* trading_halted
* has_traded
* last_trade_price_source
* updated_at
* instrument
"""
symbols = helper.inputs_to_set(inputSymbols)
url = urls.quotes()
payload = {'symbols': ','.join(symbols)}
data = helper.request_get(url, 'results', payload)
if (data == None or data == [None]):
return data
for count, item in enumerate(data):
if item is None:
print(helper.error_ticker_does_not_exist(symbols[count]),
file=helper.get_output())
data = [item for item in data if item is not None]
return (helper.filter(data, info))
