def getAllStockData(ticker): '''Get a few random tickers.''' stock = Share(ticker) stock.refresh() data = { 'name': stock.get_name(), 'price': stock.get_price(), 'change': stock.get_change(), 'volume': stock.get_volume(), 'prev_close': stock.get_prev_close(), 'open': stock.get_open(), 'avg_daily_volume': stock.get_avg_daily_volume(), 'stock_exchange': stock.get_stock_exchange, 'market_cap': stock.get_market_cap(), 'book_value': stock.get_book_value(), 'ebitda': stock.get_ebitda(), 'dividend_share': stock.get_dividend_share(), 'dividend_yield': stock.get_dividend_yield(), 'earnings_share': stock.get_earnings_share(), 'days_high': stock.get_days_high(), 'days_low': stock.get_days_low(), 'year_high': stock.get_year_high(), 'year_low': stock.get_year_low(), '50day_moving_avg': stock.get_50day_moving_avg(), '200day_moving_avg': stock.get_200day_moving_avg(), 'price_earnings_ratio': stock.get_price_earnings_ratio(), 'price_earnings_growth_ratio': stock.get_price_earnings_growth_ratio(), 'get_price_sales': stock.get_price_sales(), 'get_price_book': stock.get_price_book(), 'get_short_ratio': stock.get_short_ratio(), 'trade_datetime': stock.get_trade_datetime(), 'percent_change_from_year_high': stock.get_percent_change_from_year_high(), 'percent_change_from_year_low': stock.get_percent_change_from_year_low(), 'change_from_year_low': stock.get_change_from_year_low(), 'change_from_year_high': stock.get_change_from_year_high(), 'percent_change_from_200_day_moving_average': stock.get_percent_change_from_200_day_moving_average(), 'change_from_200_day_moving_average': stock.get_change_from_200_day_moving_average(), 'percent_change_from_50_day_moving_average': stock.get_percent_change_from_50_day_moving_average(), 'change_from_50_day_moving_average': stock.get_change_from_50_day_moving_average(), 'EPS_estimate_next_quarter': stock.get_EPS_estimate_next_quarter(), 'EPS_estimate_next_year': stock.get_EPS_estimate_next_year(), 'ex_dividend_date': stock.get_ex_dividend_date(), 'EPS_estimate_current_year': stock.get_EPS_estimate_current_year(), 'price_EPS_estimate_next_year': stock.get_price_EPS_estimate_next_year(), 'price_EPS_estimate_current_year': stock.get_price_EPS_estimate_current_year(), 'one_yr_target_price': stock.get_one_yr_target_price(), 'change_percent_change': stock.get_change_percent_change(), 'divended_pay_date': stock.get_dividend_pay_date(), 'currency': stock.get_currency(), 'last_trade_with_time': stock.get_last_trade_with_time(), 'days_range': stock.get_days_range(), 'years_range': stock.get_year_range() } return data
def get_symbol_yahoo_stats_yql(symbols, exclude_name=False): """ Get the symbols' basic statistics from Yahoo Finance. Input: symbols - a list of symbol strings, e.g. ['AAPL'] Output: stats in Pandas DataFrame. This function is ported from pandas_datareader/yahoo/components.py """ sym_list = str2list(symbols) if sym_list == None: return DataFrame() # Yahoo Finance tags, refer to http://www.financialwisdomforum.org/gummy-stuff/Yahoo-data.htm tags = ['Symbol'] if not exclude_name: tags += ['Name'] tags += ['Exchange', 'MarketCap', 'Volume', 'AverageDailyVolume', 'BookValue', 'P/E', 'PEG', 'Price/Sales', 'Price/Book', 'EBITDA', 'EPS', 'EPSEstimateNextQuarter', 'EPSEstimateCurrentYear', 'EPSEstimateNextYear', 'OneyrTargetPrice', 'PriceEPSEstimateCurrentYear', 'PriceEPSEstimateNextYear', 'ShortRatio', 'Dividend/Share', 'DividendYield', 'DividendPayDate', 'ExDividendDate'] lines = [] for sym in sym_list: stock = Share(sym) line = [sym] if not exclude_name: line += [stock.get_name()] line += [stock.get_stock_exchange(), str2num(stock.get_market_cap(), m2b=True), str2num(stock.get_volume()), str2num(stock.get_avg_daily_volume()), str2num(stock.get_book_value()), str2num(stock.get_price_earnings_ratio()), str2num(stock.get_price_earnings_growth_ratio()), str2num(stock.get_price_sales()), str2num(stock.get_price_book()), str2num(stock.get_ebitda()), str2num(stock.get_earnings_share()), str2num(stock.get_EPS_estimate_next_quarter()), str2num(stock.get_EPS_estimate_current_year()), str2num(stock.get_EPS_estimate_next_year()), str2num(stock.get_one_yr_target_price()), str2num(stock.get_price_EPS_estimate_current_year()), str2num(stock.get_price_EPS_estimate_next_year()), str2num(stock.get_short_ratio()), str2num(stock.get_dividend_share()), str2num(stock.get_dividend_yield()), stock.get_dividend_pay_date(), stock.get_ex_dividend_date()] lines.append(line) stats = DataFrame(lines, columns=tags) stats = stats.drop_duplicates() stats = stats.set_index('Symbol') return stats
print "get_percent_change_from_year_low:", tesla.get_percent_change_from_year_low( ) print "get_change_from_year_low:", tesla.get_change_from_year_low() print "get_change_from_year_high:", tesla.get_change_from_year_high() print "get_percent_change_from_200_day_moving_average:", tesla.get_percent_change_from_200_day_moving_average( ) print "get_change_from_200_day_moving_average:", tesla.get_change_from_200_day_moving_average( ) print "get_percent_change_from_50_day_moving_average:", tesla.get_percent_change_from_50_day_moving_average( ) print "get_change_from_50_day_moving_average:", tesla.get_change_from_50_day_moving_average( ) print "get_EPS_estimate_next_quarter:", tesla.get_EPS_estimate_next_quarter() print "get_EPS_estimate_next_year:", tesla.get_EPS_estimate_next_year() print "get_ex_dividend_date:", tesla.get_ex_dividend_date() print "get_EPS_estimate_current_year:", tesla.get_EPS_estimate_current_year() print "get_price_EPS_estimate_next_year:", tesla.get_price_EPS_estimate_next_year( ) print "get_price_EPS_estimate_current_year:", tesla.get_price_EPS_estimate_current_year( ) print "get_one_yr_target_price:", tesla.get_one_yr_target_price() print "get_change_percent_change:", tesla.get_change_percent_change() print "get_dividend_pay_date:", tesla.get_dividend_pay_date() print "get_currency:", tesla.get_currency() print "get_last_trade_with_time:", tesla.get_last_trade_with_time() print "get_days_range:", tesla.get_days_range() print "get_year_range:", tesla.get_year_range() # http://stackoverflow.com/questions/24233385/pulling-yahoo-finance-data-using-python # http://chartapi.finance.yahoo.com/instrument/1.0/TSLA/chartdata;type=quote;range=1y/csv