def delete_symbols_from_watchlist(inputSymbols, name='Default'):
"""Deletes multiple stock tickers from a watchlist.
:param inputSymbols: May be a single stock ticker or a list of stock tickers.
:type inputSymbols: str or list
:param name: The name of the watchlist to delete data from.
:type name: Optional[str]
:returns: Returns result of the delete request.
"""
symbols = helper.inputs_to_set(inputSymbols)
symbols = stocks.get_fundamentals(symbols, info='instrument')
watchlist = get_watchlist_by_name(name=name)
items = []
data = None
for symbol in symbols:
for list_ in watchlist:
if symbol == list_['instrument']:
items.append(symbol[37:])
for item in items:
url = urls.watchlists() + name + item
data = helper.request_delete(url)
return(data)
def build_holdings():
"""Builds a dictionary of important information regarding the stocks and positions owned by the user.
:returns: Returns a dictionary where the keys are the stock tickers and the value is another dictionary \
that has the stock price, quantity held, equity, percent change, equity change, type, name, id, pe ratio, \
percentage of portfolio, and average buy price.
"""
positions_data = get_current_positions()
portfolios_data = profiles.load_portfolio_profile()
accounts_data = profiles.load_account_profile()
if not positions_data or not portfolios_data or not accounts_data:
return({})
if portfolios_data['extended_hours_equity'] is not None:
total_equity = max(float(portfolios_data['equity']),float(portfolios_data['extended_hours_equity']))
else:
total_equity = float(portfolios_data['equity'])
cash = "{0:.2f}".format(float(accounts_data['cash'])+float(accounts_data['uncleared_deposits']))
holdings = {}
for item in positions_data:
# It is possible for positions_data to be [None]
if not item:
continue
try:
instrument_data = stocks.get_instrument_by_url(item['instrument'])
symbol = instrument_data['symbol']
fundamental_data = stocks.get_fundamentals(symbol)[0]
price = stocks.get_latest_price(instrument_data['symbol'])[0]
quantity = item['quantity']
equity = float(item['quantity'])*float(price)
equity_change = (float(quantity)*float(price))-(float(quantity)*float(item['average_buy_price']))
percentage = float(item['quantity'])*float(price)*100/(float(total_equity)-float(cash))
if (float(item['average_buy_price']) == 0.0):
percent_change = 0.0
else:
percent_change = (float(price)-float(item['average_buy_price']))*100/float(item['average_buy_price'])
holdings[symbol]=({'price': price })
holdings[symbol].update({'quantity': quantity})
holdings[symbol].update({'average_buy_price': item['average_buy_price']})
holdings[symbol].update({'equity':"{0:.2f}".format(equity)})
holdings[symbol].update({'percent_change': "{0:.2f}".format(percent_change)})
holdings[symbol].update({'equity_change':"{0:2f}".format(equity_change)})
holdings[symbol].update({'type': instrument_data['type']})
holdings[symbol].update({'name': stocks.get_name_by_symbol(symbol)})
holdings[symbol].update({'id': instrument_data['id']})
holdings[symbol].update({'pe_ratio': fundamental_data['pe_ratio'] })
holdings[symbol].update({'percentage': "{0:.2f}".format(percentage)})
except:
pass
return(holdings)
