def compute_data(token):
global one_hour_rsi
#enddate = datetime.datetime(2020, 5, 4, 15,30,0,0)
enddate = datetime.datetime.today()
startdate = enddate - datetime.timedelta(3)
try:
df = historical_data.get(kite, token, startdate, enddate, candlesize)
df = SuperTrend.calc(df, supertrend_period, supertrend_multiplier)
df = MACD.calc(df)
rsi = historical_data.get(kite, token, startdate, enddate, "60minute")
rsi = RSI.calc(rsi)
one_hour_rsi = rsi.RSI_14.values[-1]
except Exception as e:
print("******* ERROR Computing Historical Data ********", token, e)
return df
def compute_data(token):
global one_hour_rsi
#enddate = datetime.datetime(2020, 5, 4, 15,30,0,0)
enddate = datetime.datetime.today()
startdate = enddate - datetime.timedelta(15)
try:
df = historical_data.get(kite, token, startdate, enddate, candlesize)
df = EMA.calc(df, 'close', 'ema_5', 5)
df = EMA.calc(df, 'close', 'ema_20', 20)
df = MACD.calc(df)
df = MFI.calc(df)
df = VWAP.calc(df)
rsi = historical_data.get(kite, token, startdate, enddate, "60minute")
rsi = RSI.calc(rsi)
one_hour_rsi = rsi.RSI_14.values[-2]
except Exception as e:
print("******* ERROR Computing Historical Data ********", token, e)
return df