Mariner Backtesting - TA-LIB Identical Three Crows

CDLIDENTICAL3CROWS

 integer = CDLIDENTICAL3CROWS(open, high, low, close)

0 = No Signal
-100 = Bearish Signal
100 = Bullish Signal

Candlestick Plot

No plot exists for this function

Working Example

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

class WE_CDLIDENTICAL3CROWS(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
        high = daily_bars.high
        low = daily_bars.low
        open = daily_bars.open
        integer = talib.CDLIDENTICAL3CROWS(open, high, low, close)

        # 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['open'] = open
        dict['high'] = high
        dict['low'] = low
        dict['close'] = close
        dict['integer'] = integer
        symbol = 'CDLIDENTICAL3CROWS: ' + self.symbol
        print ktgfunc.talib_table(symbol, 1, dict)

Console

MSFT:  2017-02-09 09:30:00.000000

CDLIDENTICAL3CROWS: MSFT
	Input	Output
date	open	high	low	close	integer
2016-09-16	57.24	57.24	56.37	56.87	0.00
2016-09-19	56.89	57.36	56.47	56.55	0.00
2016-09-20	56.97	56.97	56.37	56.43	0.00
2016-09-21	57.12	57.46	56.70	57.37	0.00
2016-09-22	57.53	57.61	57.24	57.43	0.00
2016-09-23	57.48	57.52	56.99	57.04	0.00
2016-09-26	56.70	56.76	56.45	56.52	0.00
2016-09-27	56.55	57.67	56.30	57.56	0.00
2016-09-28	57.49	57.67	57.28	57.64	0.00
2016-09-29	57.42	57.78	56.83	57.01	0.00
2016-09-30	57.18	57.38	56.96	57.21	0.00
2016-10-03	57.02	57.16	56.68	57.03	0.00
2016-10-04	56.89	57.21	56.59	56.86	0.00
2016-10-05	56.91	57.57	56.88	57.25	0.00
2016-10-06	57.35	57.47	56.90	57.35	0.00
2016-10-07	57.46	57.59	57.03	57.41	0.00
2016-10-10	57.52	58.00	57.48	57.65	0.00
2016-10-11	57.50	57.63	56.51	56.81	0.00
2016-10-12	56.73	56.89	56.02	56.73	0.00
2016-10-13	56.32	56.92	55.94	56.54	0.00
2016-10-14	56.74	57.35	56.74	57.03	0.00
2016-10-17	56.98	57.07	56.49	56.84	0.00
2016-10-18	57.14	57.56	57.02	57.27	0.00
2016-10-19	57.08	57.45	57.01	57.14	0.00
2016-10-20	57.11	57.13	56.28	56.87	0.00
2016-10-21	59.88	60.04	59.09	59.26	0.00
2016-10-24	59.54	60.59	59.53	60.59	0.00
2016-10-25	60.44	60.96	60.39	60.58	0.00
2016-10-26	60.40	60.79	60.06	60.22	0.00
2016-10-27	60.20	60.42	59.69	59.70	0.00
2016-10-28	59.61	60.11	59.18	59.47	0.00
2016-10-31	59.76	60.01	59.52	59.52	0.00
2016-11-01	59.57	59.62	58.85	59.40	0.00
2016-11-02	59.42	59.53	58.90	59.03	0.00
2016-11-03	59.13	59.24	58.71	58.81	0.00
2016-11-04	58.26	58.88	58.13	58.32	0.00
2016-11-07	59.38	60.11	59.38	60.01	0.00
2016-11-08	60.14	60.37	59.75	60.06	0.00
2016-11-09	59.60	60.18	58.80	59.77	0.00
2016-11-10	60.07	60.08	57.24	58.31	0.00
2016-11-11	57.84	58.72	57.62	58.62	0.00
2016-11-14	58.62	58.68	56.90	57.73	0.00
2016-11-15	58.33	59.49	58.31	58.87	0.00
2016-11-16	58.94	59.66	54.27	59.65	0.00
2016-11-17	60.41	60.95	59.97	60.64	0.00
2016-11-18	60.78	61.14	60.30	60.35	0.00
2016-11-21	60.50	60.97	60.42	60.86	0.00
2016-11-22	60.98	61.26	60.81	61.12	0.00
2016-11-23	61.01	61.10	60.25	60.40	0.00
2016-11-25	60.30	60.53	60.13	60.53	0.00
2016-11-28	60.34	61.02	60.21	60.61	0.00
2016-11-29	60.65	61.41	60.52	61.09	0.00
2016-11-30	60.86	61.18	60.22	60.26	0.00
2016-12-01	60.11	60.15	58.94	59.20	0.00
2016-12-02	59.08	59.47	58.80	59.25	0.00
2016-12-05	59.70	60.58	59.56	60.22	0.00
2016-12-06	60.43	60.46	59.80	59.95	0.00
2016-12-07	60.01	61.38	59.80	61.37	0.00
2016-12-08	61.30	61.58	60.84	61.01	0.00
2016-12-09	61.18	61.99	61.12	61.97	0.00
2016-12-12	61.82	62.30	61.72	62.17	0.00
2016-12-13	62.50	63.42	62.24	62.98	0.00
2016-12-14	63.00	63.45	62.53	62.68	0.00
2016-12-15	62.70	63.15	62.30	62.58	0.00
2016-12-16	62.95	62.95	62.12	62.30	0.00
2016-12-19	62.56	63.77	62.42	63.62	0.00
2016-12-20	63.69	63.80	63.03	63.54	0.00
2016-12-21	63.43	63.70	63.12	63.54	0.00
2016-12-22	63.84	64.10	63.40	63.55	0.00
2016-12-23	63.45	63.54	62.80	63.24	0.00
2016-12-27	63.21	64.07	63.21	63.28	0.00
2016-12-28	63.40	63.40	62.83	62.99	0.00
2016-12-29	62.86	63.20	62.73	62.90	0.00
2016-12-30	62.96	62.99	62.03	62.14	0.00
2017-01-03	62.79	62.84	62.12	62.58	0.00
2017-01-04	62.48	62.75	62.12	62.30	0.00
2017-01-05	62.19	62.66	62.03	62.30	0.00
2017-01-06	62.30	63.15	62.04	62.84	0.00
2017-01-09	62.76	63.08	62.54	62.64	0.00
2017-01-10	62.73	63.07	62.28	62.62	0.00
2017-01-11	62.61	63.23	62.43	63.19	0.00
2017-01-12	63.06	63.40	61.95	62.61	0.00
2017-01-13	62.62	62.87	62.35	62.70	0.00
2017-01-17	62.68	62.70	62.03	62.53	0.00
2017-01-18	62.67	62.70	62.12	62.50	0.00
2017-01-19	62.24	62.98	62.19	62.30	0.00
2017-01-20	62.67	62.82	62.37	62.74	0.00
2017-01-23	62.70	63.12	62.57	62.96	0.00
2017-01-24	63.20	63.74	62.94	63.52	0.00
2017-01-25	63.95	64.10	63.45	63.68	0.00
2017-01-26	64.12	64.54	63.55	64.27	0.00
2017-01-27	65.39	65.91	64.89	65.78	0.00
2017-01-30	65.69	65.79	64.80	65.13	0.00
2017-01-31	64.86	65.15	64.26	64.65	0.00
2017-02-01	64.36	64.62	63.47	63.58	0.00
2017-02-02	63.25	63.41	62.75	63.17	0.00
2017-02-03	63.50	63.70	63.07	63.68	0.00
2017-02-06	63.50	63.65	63.14	63.64	0.00
2017-02-07	63.74	63.78	63.23	63.43	0.00
2017-02-08	63.57	63.81	63.22	63.34	0.00