def do_thread_loop(self):
if ( self.running ):
if ( self.mqtt_connected ):
for stock in self.tickerlist:
ticker = stock.ticker
print "querrying for ", ticker
now = datetime.datetime.now()
open_time = now.replace( hour=self.openhour, minute=self.openmin, second=0 )
close_time = now.replace( hour=self.closehour, minute=self.closemin, second=0 )
open_day = False
for day in self.tradingdow:
if ( day == datetime.datetime.today().weekday() ):
open_day = True
if (( now > open_time) and ( now < close_time ) and open_day):
self.mqttc.publish( self.basetopic + "/" + ticker + "/name", stock.name, qos = 2, retain=True)
try:
price = ystockquote.get_price( ticker )
self.mqttc.publish( self.basetopic + "/" + ticker + "/price", price, qos = 2, retain=True)
#TODO add previous close value!!!!!!1
change = ystockquote.get_change( ticker )
self.mqttc.publish( self.basetopic + "/" + ticker + "/change", change, qos = 2, retain=True)
volume = ystockquote.get_volume( ticker )
self.mqttc.publish( self.basetopic + "/" + ticker + "/volume", volume, qos = 2, retain=True)
if ( stock.high_low ):
yrhigh = ystockquote.get_52_week_high( ticker )
self.mqttc.publish( self.basetopic + "/" + ticker + "/yrhigh", yrhigh, qos = 2, retain=True)
yrlow = ystockquote.get_52_week_low( ticker )
self.mqttc.publish( self.basetopic + "/" + ticker + "/yrlow", yrlow, qos = 2, retain=True)
if ( stock.mavg ):
avg50 = ystockquote.get_50day_moving_avg( ticker )
self.mqttc.publish( self.basetopic + "/" + ticker + "/50day-ma", avg50, qos = 2, retain=True)
avg200 = ystockquote.get_200day_moving_avg( ticker )
self.mqttc.publish( self.basetopic + "/" + ticker + "/200day-ma", avg200, qos = 2, retain=True)
self.mqttc.publish( self.basetopic + "/" + ticker + "/time", time.strftime( "%x %X" ), qos = 2, retain=True)
except:
print "querry error in ystockquote."
else:
print "Markets closed"
self.mqttc.publish( self.basetopic + "/" + ticker + "/null", "", qos = 2, retain=True)
def test_get_200day_moving_avg(self):
value = ystockquote.get_200day_moving_avg(self.symbol)
self.assertIsInstance(value, str)
def test_get_200day_moving_avg(self):
value = ystockquote.get_200day_moving_avg(self.symbol)
self.assertIsInstance(value, str)
def strategyone():
bought_mode = False
global server
logging.info(
"Strategy One:SPX OPENS MORE THAN 2% ABOVE ITS CLOSE OF 3 DAYS AGO AND IS ABOVE 200DMA. BUY ON CLOSE. SELL 6 DAYS"
)
logging.info("Current price of SPX " + ystockquote.get_price("SPY"))
#chance of working is 79%
logging.info('\n')
todays_date = time.strftime("%Y-%m-%d")
logging.info("todays date is " + todays_date)
date_N_days_ago = datetime.now() - timedelta(days=3)
f = str(date_N_days_ago)
date_three_days_ago = f.split(' ')[0]
logging.info("the date three days ago is " + date_three_days_ago)
historical_price = ystockquote.get_historical_prices(
"SPY", date_three_days_ago, todays_date)
histpricelist = historical_price.items()
histpricelist.sort()
try:
logging.info("the close from 3 days ago is " +
historical_price[date_three_days_ago]['Close'])
threedaysagoclose = float(
historical_price[date_three_days_ago]['Close'])
except Exception:
logging.info(
"looks like the last closing day was a non trading day fixing the problem"
)
logging.info("the close from the last trading day is " +
str(histpricelist[0][1]['Close']))
threedaysagoclose = float(histpricelist[0][1]['Close'])
content = urllib.urlopen("https://www.google.com/finance?q=SPY").read()
m = re.search('(?:snapfield="open".Open\n<\/td>\n<td class="val">)(.*)',
content)
try:
logging.info("The open today is " + m.group(1))
todaysopen = float(m.group(1))
except Exception:
logging.info(
"You got an excpetion trying to get open today, most likely due to the fact that the market isnt open yet, waiting two hours then trying again"
)
time.sleep(7200)
logging.info("The open today is " + m.group(1))
todaysopen = float(m.group(1))
logging.info(
"the current price is this perecntage above or below its close of 3 days ago "
+ str((float(ystockquote.get_price("SPY")) / threedaysagoclose) - 1))
logging.info("the current 200 dma is " +
str(float(ystockquote.get_200day_moving_avg("SPY"))))
logging.info("when these show TRUE TRUE FALSE YOU SHOULD BUY")
logging.info("todays open is 2% above its close from three days ago")
logging.info(todaysopen >= 1.02 * threedaysagoclose)
logging.info("Current price is above its 200 dma")
logging.info(
float(ystockquote.get_price("SPY")) > float(
ystockquote.get_200day_moving_avg("SPY")))
logging.info("bought mode is set to")
logging.info(bought_mode)
if todaysopen >= 1.02 * threedaysagoclose and float(
ystockquote.get_price("SPY")) > float(
ystockquote.get_200day_moving_avg("SPY")) and (bought_mode is
False):
price_I_bought_at = float(ystockquote.get_price("SPY"))
current_money = server.current_money()
logging.info("Current money is" + str(current_money))
total_to_spend = (.79 / 3) * current_money
logging.info('\n')
logging.info("total to spend is" + str(total_to_spend))
shares = int(ystockquote.get_price("SPY")) / int(total_to_spend)
logging.info('\n')
logging.info("# of shares" + int(shares))
logging.info('\n')
server.buy_stock("SPY", int(ystockquote.get_price("SPY")), shares)
day_N_days_from_now = datetime.now() + timedelta(days=6)
l = str(day_N_days_from_now)
day_to_sell = l.split(' ')[0]
logging.info(day_to_sell)
bought_mode = True
sendemail(from_addr='*****@*****.**',
to_addr_list=['*****@*****.**'],
cc_addr_list='',
subject='StrategyOne Executed',
message='StrategyOne has been Executed',
login='******',
password='******')
if bought_mode is True and day_to_sell == todays_date:
logging.info("going to sell")
server.sell("SPY", int(ystockquote.get_price("SPY")), shares)
bought_mode = False
if bought_mode is True and (float(
ystockquote.get_price("SPY"))) <= (price_I_bought_at * .93):
logging.info("I hit my stop")
server.sell("SPY", int(ystockquote.get_price("SPY")), shares)
bought_mode = False
threading.Timer(84600, strategyone).start()
summaryPage = requests.get('http://finance.yahoo.com/q/pr?s=' + symbol, stream=False)
d = summaryPage.content
soup1 = BeautifulSoup(d)
getSummary = soup1.find_all('p')
price = str(ystockquote.get_price(symbol))
change = str(ystockquote.get_change(symbol))
volume = str(ystockquote.get_volume(symbol))
stockExchange = str(ystockquote.get_stock_exchange(symbol))
marketCap = str(ystockquote.get_market_cap(symbol))
bValue = str(ystockquote.get_book_value(symbol))
ebitda = str(ystockquote.get_ebitda(symbol))
mvavg = str(ystockquote.get_200day_moving_avg(symbol))
High = str(ystockquote.get_52_week_high(symbol))
Low = str(ystockquote.get_52_week_low(symbol))
commaData = []
data=[price, change, volume, stockExchange, mvavg, bValue, ebitda, marketCap, High, Low]
for individData in data:
commaInt = humanize.intcomma(individData)
commaData.append(commaInt)
if float(price) > 0.00:
try:
summaryPage = requests.get('http://finance.yahoo.com/q/pr?s=' + symbol, stream=False)
d = summaryPage.content
soup1 = BeautifulSoup(d)
getSummary = soup1.find_all('p')
price = str(ystockquote.get_price(symbol))
change = str(ystockquote.get_change(symbol))
volume = str(ystockquote.get_volume(symbol))
stockExchange = str(ystockquote.get_stock_exchange(symbol))
marketCap = str(ystockquote.get_market_cap(symbol))
bValue = str(ystockquote.get_book_value(symbol))
ebitda = str(ystockquote.get_ebitda(symbol))
mvavg = str(ystockquote.get_200day_moving_avg(symbol))
High = str(ystockquote.get_52_week_high(symbol))
Low = str(ystockquote.get_52_week_low(symbol))
commaData = []
data=[price, change, volume, stockExchange, mvavg, bValue, ebitda, marketCap, High, Low]
for individData in data:
commaInt = humanize.intcomma(individData)
commaData.append(commaInt)
if float(price) > 0.00:
try: