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)