Mariner Backtesting - TA-LIB Chande Momentum Oscillator

CMO

 

 real = CMO(close, timeperiod=14)

Plot

Chande Momentum Oscillator

Working Example

 from cloudquant.interfaces import Strategy
from collections import OrderedDict
import ktgfunc
import talib

class WE_CMO(Strategy):

    def on_start(self, md, order, service, account):
        # symbol and timestamp
        print(self.symbol + ":  " + service.time_to_string(service.system_time))
        daily_bars = md.bar.daily(start=-100)
        close = daily_bars.close
        real = talib.CMO(close, timeperiod=14)

        # get the date values
        dates = service._context.market._storage.market_hours.keys()
        dateList = []
        for date in dates:
           dateList.append(str(date.strftime('%Y-%m-%d')))
        dates = sorted(dateList, reverse=True)[1:101]
        dates.sort()

        dict = OrderedDict()
        dict['date'] = dates
        dict['close'] = close
        dict['real'] = real
        symbol = 'CMO: ' + self.symbol
        print ktgfunc.talib_table(symbol, 1, dict)

Console

MSFT:  2017-02-09 09:30:00.000000
CMO: MSFT
Input Output
date close real
2016-09-16 56.87 nan
2016-09-19 56.55 nan
2016-09-20 56.43 nan
2016-09-21 57.37 nan
2016-09-22 57.43 nan
2016-09-23 57.04 nan
2016-09-26 56.52 nan
2016-09-27 57.56 nan
2016-09-28 57.64 nan
2016-09-29 57.01 nan
2016-09-30 57.21 nan
2016-10-03 57.03 nan
2016-10-04 56.86 nan
2016-10-05 57.25 nan
2016-10-06 57.35 9.44
2016-10-07 57.41 10.56
2016-10-10 57.65 15.05
2016-10-11 56.81 -3.47
2016-10-12 56.73 -5.02
2016-10-13 56.54 -8.76
2016-10-14 57.03 2.17
2016-10-17 56.84 -2.07
2016-10-18 57.27 7.07
2016-10-19 57.14 4.11
2016-10-20 56.87 -2.18
2016-10-21 59.26 34.48
2016-10-24 60.59 46.07
2016-10-25 60.58 45.86
2016-10-26 60.22 38.26
2016-10-27 59.70 27.70
2016-10-28 59.47 23.30
2016-10-31 59.52 23.91
2016-11-01 59.40 21.40
2016-11-02 59.03 13.74
2016-11-03 58.81 9.33
2016-11-04 58.32 -0.16
2016-11-07 60.01 24.10
2016-11-08 60.06 24.67
2016-11-09 59.77 18.86
2016-11-10 58.31 -4.61
2016-11-11 58.62 0.02
2016-11-14 57.73 -11.80
2016-11-15 58.87 3.81
2016-11-16 59.65 12.78
2016-11-17 60.64 22.64
2016-11-18 60.35 18.42
2016-11-21 60.86 23.42
2016-11-22 61.12 25.91
2016-11-23 60.40 14.77
2016-11-25 60.53 16.21
2016-11-28 60.61 17.14
2016-11-29 61.09 22.68
2016-11-30 60.26 9.11
2016-12-01 59.20 -5.30
2016-12-02 59.25 -4.60
2016-12-05 60.22 8.18
2016-12-06 59.95 4.36
2016-12-07 61.37 20.31
2016-12-08 61.01 15.07
2016-12-09 61.97 24.51
2016-12-12 62.17 26.35
2016-12-13 62.98 33.41
2016-12-14 62.68 28.50
2016-12-15 62.58 26.82
2016-12-16 62.30 22.01
2016-12-19 63.62 34.59
2016-12-20 63.54 33.19
2016-12-21 63.54 33.19
2016-12-22 63.55 33.29
2016-12-23 63.24 26.90
2016-12-27 63.28 27.39
2016-12-28 62.99 21.13
2016-12-29 62.90 19.17
2016-12-30 62.14 3.91
2017-01-03 62.58 11.01
2017-01-04 62.30 5.66
2017-01-05 62.30 5.66
2017-01-06 62.84 14.85
2017-01-09 62.64 10.55
2017-01-10 62.62 10.11
2017-01-11 63.19 19.96
2017-01-12 62.61 7.10
2017-01-13 62.70 8.73
2017-01-17 62.53 4.98
2017-01-18 62.50 4.29
2017-01-19 62.30 -0.38
2017-01-20 62.74 9.25
2017-01-23 62.96 13.70
2017-01-24 63.52 23.94
2017-01-25 63.68 26.62
2017-01-26 64.27 35.62
2017-01-27 65.78 51.89
2017-01-30 65.13 35.96
2017-01-31 64.65 25.50
2017-02-01 63.58 5.92
2017-02-02 63.17 -0.48
2017-02-03 63.68 7.05
2017-02-06 63.64 6.37
2017-02-07 63.43 2.72
2017-02-08 63.34 1.12