Mariner Backtesting - TA-LIB Vector Arithmetic Mult

MULT

 

 real = MULT(high, low)

Plot

Vector Arithmetic Mult

Working Example

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

class WE_MULT(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)
        high = daily_bars.high
        low = daily_bars.low
        real = talib.MULT(high, low)

        # 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['high'] = high
        dict['low'] = low
        dict['real'] = real
        symbol = 'MULT: ' + self.symbol
        print ktgfunc.talib_table(symbol, 1, dict)

Console

MSFT:  2017-02-09 09:30:00.000000
MULT: MSFT
Input Output
date high low real
2016-09-16 57.24 56.37 3226.76
2016-09-19 57.36 56.47 3239.17
2016-09-20 56.97 56.37 3211.08
2016-09-21 57.46 56.70 3257.91
2016-09-22 57.61 57.24 3297.83
2016-09-23 57.52 56.99 3278.43
2016-09-26 56.76 56.45 3203.84
2016-09-27 57.67 56.30 3246.88
2016-09-28 57.67 57.28 3303.53
2016-09-29 57.78 56.83 3283.28
2016-09-30 57.38 56.96 3268.23
2016-10-03 57.16 56.68 3239.88
2016-10-04 57.21 56.59 3237.30
2016-10-05 57.57 56.88 3274.41
2016-10-06 57.47 56.90 3269.89
2016-10-07 57.59 57.03 3284.68
2016-10-10 58.00 57.48 3333.84
2016-10-11 57.63 56.51 3256.61
2016-10-12 56.89 56.02 3186.82
2016-10-13 56.92 55.94 3183.69
2016-10-14 57.35 56.74 3254.00
2016-10-17 57.07 56.49 3224.04
2016-10-18 57.56 57.02 3282.13
2016-10-19 57.45 57.01 3275.33
2016-10-20 57.13 56.28 3215.49
2016-10-21 60.04 59.09 3547.77
2016-10-24 60.59 59.53 3606.84
2016-10-25 60.96 60.39 3681.38
2016-10-26 60.79 60.06 3651.26
2016-10-27 60.42 59.69 3606.38
2016-10-28 60.11 59.18 3557.55
2016-10-31 60.01 59.52 3571.94
2016-11-01 59.62 58.85 3508.62
2016-11-02 59.53 58.90 3506.32
2016-11-03 59.24 58.71 3478.17
2016-11-04 58.88 58.13 3422.66
2016-11-07 60.11 59.38 3569.50
2016-11-08 60.37 59.75 3607.02
2016-11-09 60.18 58.80 3538.95
2016-11-10 60.08 57.24 3439.42
2016-11-11 58.72 57.62 3383.45
2016-11-14 58.68 56.90 3338.84
2016-11-15 59.49 58.31 3469.16
2016-11-16 59.66 54.27 3237.75
2016-11-17 60.95 59.97 3654.87
2016-11-18 61.14 60.30 3686.74
2016-11-21 60.97 60.42 3683.81
2016-11-22 61.26 60.81 3724.91
2016-11-23 61.10 60.25 3681.27
2016-11-25 60.53 60.13 3639.67
2016-11-28 61.02 60.21 3674.01
2016-11-29 61.41 60.52 3716.53
2016-11-30 61.18 60.22 3683.95
2016-12-01 60.15 58.94 3544.94
2016-12-02 59.47 58.80 3496.84
2016-12-05 60.58 59.56 3608.44
2016-12-06 60.46 59.80 3615.51
2016-12-07 61.38 59.80 3670.52
2016-12-08 61.58 60.84 3746.53
2016-12-09 61.99 61.12 3789.14
2016-12-12 62.30 61.72 3845.16
2016-12-13 63.42 62.24 3947.26
2016-12-14 63.45 62.53 3967.53
2016-12-15 63.15 62.30 3934.46
2016-12-16 62.95 62.12 3910.14
2016-12-19 63.77 62.42 3980.52
2016-12-20 63.80 63.03 4021.00
2016-12-21 63.70 63.12 4020.74
2016-12-22 64.10 63.40 4064.26
2016-12-23 63.54 62.80 3990.31
2016-12-27 64.07 63.21 4049.86
2016-12-28 63.40 62.83 3983.42
2016-12-29 63.20 62.73 3964.54
2016-12-30 62.99 62.03 3907.27
2017-01-03 62.84 62.12 3903.94
2017-01-04 62.75 62.12 3898.03
2017-01-05 62.66 62.03 3886.80
2017-01-06 63.15 62.04 3917.83
2017-01-09 63.08 62.54 3945.02
2017-01-10 63.07 62.28 3928.00
2017-01-11 63.23 62.43 3947.45
2017-01-12 63.40 61.95 3927.63
2017-01-13 62.87 62.35 3919.63
2017-01-17 62.70 62.03 3889.28
2017-01-18 62.70 62.12 3894.92
2017-01-19 62.98 62.19 3917.04
2017-01-20 62.82 62.37 3918.08
2017-01-23 63.12 62.57 3949.16
2017-01-24 63.74 62.94 4011.48
2017-01-25 64.10 63.45 4067.14
2017-01-26 64.54 63.55 4101.20
2017-01-27 65.91 64.89 4276.90
2017-01-30 65.79 64.80 4263.19
2017-01-31 65.15 64.26 4186.54
2017-02-01 64.62 63.47 4101.43
2017-02-02 63.41 62.75 3978.98
2017-02-03 63.70 63.07 4017.56
2017-02-06 63.65 63.14 4018.86
2017-02-07 63.78 63.23 4032.81
2017-02-08 63.81 63.22 4034.07