def _calc_historical_200_day_sma(self,symbol):
retArray = [];
prArray = [];
today = date.today()
enddate = today.strftime("%Y%m%d")
today_ordinal = date.toordinal(today)
start_ordinal = today_ordinal - 380;
startdate = (date.fromordinal(start_ordinal)).strftime("%Y%m%d")
#print startdate
#print enddate
retArray.append(symbol)
prArray.append(symbol)
xx = yahoostock.get_historical_prices(symbol,startdate,enddate)
#print xx
#print xx[1]
for i in range (1,241):
#print "%d" % (i)
#print xx[i]
x2 = xx[i];
prArray.append(x2[1])
for i in range (1,self.numSma+1):
sma = 0.0
for mm in range (i,i+200):
sma += float(prArray[mm]);
sma = sma / 200.0
retArray.append(sma)
return [retArray, prArray]
def _fetch_historical_200_day_ema(symbol):
retArray = []
retArray.append(symbol)
today = date.today()
enddate = today.strftime("%Y%m%d")
today_ordinal = date.toordinal(today)
start_ordinal = today_ordinal - 60
startdate = (date.fromordinal(start_ordinal)).strftime("%Y%m%d")
#print startdate
#print enddate
ema = float(_fetch_200_day_sma(symbol))
retArray.append(ema)
xx = yahoostock.get_historical_prices(symbol, startdate, enddate)
mult = 0.004975
one_minus_mult = 1 - float(mult)
for i in range(1, 30):
x2 = xx[i]
price = float(x2[1])
print ema, price, mult, one_minus_mult
newema = (ema - price * mult) / one_minus_mult
retArray.append(newema)
ema = newema
return retArray
def _calc_historical_200_day_sma(symbol):
retArray = []
priceArray = []
today = date.today()
enddate = today.strftime("%Y%m%d")
today_ordinal = date.toordinal(today)
start_ordinal = today_ordinal - 350
startdate = (date.fromordinal(start_ordinal)).strftime("%Y%m%d")
#print startdate
#print enddate
retArray.append(symbol)
priceArray.append(symbol)
xx = yahoostock.get_historical_prices(symbol, startdate, enddate)
for i in range(1, 241):
x2 = xx[i]
priceArray.append(x2[1])
for i in range(1, 30):
sma = 0.0
for mm in (i, i + 200):
sma += float(priceArray[i])
sma = sma / 200
retArray.append(sma)
return [retArray, priceArray]
def _fetch_historical_200_day_ema(symbol):
retArray = [];
retArray.append(symbol)
today = date.today()
enddate = today.strftime("%Y%m%d")
today_ordinal = date.toordinal(today)
start_ordinal = today_ordinal - 60;
startdate = (date.fromordinal(start_ordinal)).strftime("%Y%m%d")
#print startdate
#print enddate
ema = float(_fetch_200_day_sma(symbol));
retArray.append(ema)
xx = yahoostock.get_historical_prices(symbol,startdate,enddate)
mult = 0.004975
one_minus_mult = 1 - float(mult);
for i in range (1,30):
x2 = xx[i];
price = float (x2[1]);
print ema,price,mult,one_minus_mult
newema = (ema - price*mult)/one_minus_mult;
retArray.append(newema)
ema = newema
return retArray
def _calc_historical_200_day_sma(self,symbol):
retArray = [];
prArray = [];
today = date.today()
enddate = today.strftime("%Y%m%d")
today_ordinal = date.toordinal(today)
start_ordinal = today_ordinal - 380;
startdate = (date.fromordinal(start_ordinal)).strftime("%Y%m%d")
#print startdate
#print enddate
retArray.append(symbol)
prArray.append(symbol)
xx = yahoostock.get_historical_prices(symbol,startdate,enddate)
for i in range (1,241):
x2 = xx[i];
prArray.append(x2[4])
for i in range (1,self.numSma+1):
sma = 0.0
for mm in range (i,i+200):
sma += float(prArray[mm]);
sma = sma / 200.0
retArray.append(sma)
return [retArray, prArray]
def _fetch_historical_data(symbol,days):
today = date.today()
enddate = today.strftime("%Y%m%d")
today_ordinal = date.toordinal(today)
start_ordinal = today_ordinal - days;
startdate = (date.fromordinal(start_ordinal)).strftime("%Y%m%d")
retArray = yahoostock.get_historical_prices(symbol,startdate,enddate)
return retArray
