Mariner Backtesting - TA-LIB Rate of change : ((real/prevPrice)-1)*100

ROC

Rate of change : ((price/prevPrice)-1)*100

ROC

 real = ROC(close, timeperiod=10)

Plot

Rate of change : ((price/prevPrice)-1)*100

Working Example

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

class WE_ROC(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.ROC(close, timeperiod=10)

        # 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 = 'ROC: ' + self.symbol
        print ktgfunc.talib_table(symbol, 1, dict)

Console

MSFT:  2017-02-09 09:30:00.000000
ROC: 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 0.61
2016-10-03 57.03 0.86
2016-10-04 56.86 0.76
2016-10-05 57.25 -0.21
2016-10-06 57.35 -0.14
2016-10-07 57.41 0.64
2016-10-10 57.65 2.00
2016-10-11 56.81 -1.31
2016-10-12 56.73 -1.59
2016-10-13 56.54 -0.84
2016-10-14 57.03 -0.31
2016-10-17 56.84 -0.35
2016-10-18 57.27 0.73
2016-10-19 57.14 -0.19
2016-10-20 56.87 -0.85
2016-10-21 59.26 3.22
2016-10-24 60.59 5.10
2016-10-25 60.58 6.64
2016-10-26 60.22 6.16
2016-10-27 59.70 5.59
2016-10-28 59.47 4.27
2016-10-31 59.52 4.72
2016-11-01 59.40 3.71
2016-11-02 59.03 3.30
2016-11-03 58.81 3.42
2016-11-04 58.32 -1.59
2016-11-07 60.01 -0.95
2016-11-08 60.06 -0.85
2016-11-09 59.77 -0.76
2016-11-10 58.31 -2.33
2016-11-11 58.62 -1.42
2016-11-14 57.73 -3.00
2016-11-15 58.87 -0.89
2016-11-16 59.65 1.05
2016-11-17 60.64 3.11
2016-11-18 60.35 3.49
2016-11-21 60.86 1.41
2016-11-22 61.12 1.76
2016-11-23 60.40 1.06
2016-11-25 60.53 3.81
2016-11-28 60.61 3.39
2016-11-29 61.09 5.82
2016-11-30 60.26 2.36
2016-12-01 59.20 -0.75
2016-12-02 59.25 -2.29
2016-12-05 60.22 -0.22
2016-12-06 59.95 -1.50
2016-12-07 61.37 0.41
2016-12-08 61.01 1.01
2016-12-09 61.97 2.38
2016-12-12 62.17 2.57
2016-12-13 62.98 3.09
2016-12-14 62.68 4.02
2016-12-15 62.58 5.71
2016-12-16 62.30 5.15
2016-12-19 63.62 5.65
2016-12-20 63.54 5.99
2016-12-21 63.54 3.54
2016-12-22 63.55 4.16
2016-12-23 63.24 2.05
2016-12-27 63.28 1.79
2016-12-28 62.99 0.02
2016-12-29 62.90 0.35
2016-12-30 62.14 -0.70
2017-01-03 62.58 0.45
2017-01-04 62.30 -2.07
2017-01-05 62.30 -1.95
2017-01-06 62.84 -1.10
2017-01-09 62.64 -1.43
2017-01-10 62.62 -0.98
2017-01-11 63.19 -0.14
2017-01-12 62.61 -0.60
2017-01-13 62.70 -0.32
2017-01-17 62.53 0.63
2017-01-18 62.50 -0.13
2017-01-19 62.30 0.00
2017-01-20 62.74 0.71
2017-01-23 62.96 0.19
2017-01-24 63.52 1.40
2017-01-25 63.68 1.69
2017-01-26 64.27 1.71
2017-01-27 65.78 5.06
2017-01-30 65.13 3.88
2017-01-31 64.65 3.39
2017-02-01 63.58 1.73
2017-02-02 63.17 1.40
2017-02-03 63.68 1.50
2017-02-06 63.64 1.08
2017-02-07 63.43 -0.14
2017-02-08 63.34 -0.53