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
max_id = new_tweets[-1].id except tweepy.TweepError as e: # Just exit if any error print("some error : " + str(e)) break print ("Downloaded {0} tweets, Saved to {1}".format(tweetCount, fName)) tweetArr[x] = tweetCount from yahoo_finance import Share Twitter = Share('TSLA') print Twitter.get_price() Twitter.refresh() print Twitter.get_price() print Twitter.get_days_range() from pprint import pprint pprint(Twitter.get_historical('2017-03-15', '2017-03-22')) Closes = [li['Close'] for li in Twitter.get_historical('2016-09-20', '2016-09-27')] print Closes years = [2012, 2013, 2014, 2015, 2016,2017] plt.figure(1) plt.title('Daily Closing Stock Price') plt.xlabel('Day') plt.ylabel('Closing Price ($)') plt.subplot(211) plt.plot_date(years, Closes, 'ro', None, True, False)
def stock_quote_get(): print(request.args.get('symbol')) symbol = str(request.args.get('symbol')) # get all the relevant data from the Yahoo Finance API stock = Share(symbol) stock_name = stock.get_name() stock_symbol = stock.symbol stock_price = stock.get_price() stock_change = stock.get_change() stock_change_pct = stock.get_percent_change() prev_close = stock.get_prev_close() open = stock.get_open() day_range = stock.get_days_range() year_range = stock.get_year_range() volume = stock.get_volume() avg_volume = stock.get_avg_daily_volume() market_cap = stock.get_market_cap() pe_ratio = stock.get_price_earnings_ratio() eps = stock.get_earnings_share() dividend = stock.get_dividend_share() dividend_yld = stock.get_dividend_yield() dividend_ex_date = stock.get_ex_dividend_date() yr_target = stock.get_one_yr_target_price() historical = stock.get_historical('2017-01-01', date.isoformat(date.today())) # put the data into the DynamoDB database table = dynamodb.Table('Stocks') response = table.put_item( Item={ 'symbol': symbol, 'date': date.isoformat(date.today()), 'prev_close': prev_close, 'open': open, 'day_range': day_range, 'year_range': year_range, 'volume': volume, 'avg_volume': avg_volume, 'market_cap': market_cap, 'pe_ratio': pe_ratio, 'eps': eps, 'dividend': dividend, 'dividend_yld': dividend_yld, 'dividend_ex_date': dividend_ex_date, 'yr_target': yr_target, }) close_history = [] for point in historical: close_date = point['Date'] close_date = int( time.mktime(datetime.strptime(close_date, "%Y-%m-%d").timetuple())) close_price = point['Adj_Close'] close_price = float(close_price) close_history.append([close_date, close_price]) return render_template("stock/stock_detail.html", stock_name=stock_name, stock_symbol=stock_symbol, stock_price=stock_price, stock_change=stock_change, stock_change_pct=stock_change_pct, prev_close=prev_close, open=open, day_range=day_range, year_range=year_range, volume=volume, avg_volume=avg_volume, market_cap=market_cap, pe_ratio=pe_ratio, eps=eps, dividend=dividend, dividend_yld=dividend_yld, dividend_ex_date=dividend_ex_date, yr_target=yr_target, close_history=close_history)
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