Pivot Point Crossover does not show in plot.

[tewhaile]

I'm trying to get a crossover signal for Pivot Points. I used the recomendation from the documentation to stop automatically plotting the non-resampled data based on the suggestion: "The indicator will try to automatically plo to the non-resampled data. To disable this behavior use the following during construction:

_autoplot=False

"

but I cannot seem to get the crossover indicator to show on the graph. I tried enabling the possible parameters for the plotinfo of the crossover indicator as:

self.pivotSignalP.plotinfo.plot = True
self.pivotSignalP.plotinfo.subplot = True

But it doesn't seem to work.

My Data is an intraday 1 minute data and the pivot points are generated based on a resampled data with timeframe = bt.TimeFrame.Days

My code is:

import backtrader as bt
from datetime import datetime as dt

plotStart = dt(2020, 11, 11, 9, 30)
plotEnd = dt(2020, 11, 11, 12, 0)
dataTimeFrame = bt.TimeFrame.Minutes
compression = 1

class PivotPoint(bt.Strategy):
    params = dict(
        pivot = bt.indicators.PivotPoint,
        cross = bt.indicators.CrossOver,
        emovav = bt.indicators.ExponentialMovingAverage,
    )

    def __init__(self):
        self.pivots = self.p.pivot(self.data1)
        self.pivots.autoplot = False
        self.pivotSignalP = self.p.cross(self.data1.open, self.pivots.lines.p)
        self.pivotSignalP.plotinfo.plotname = "Pivot P Crossover"

        self.ema9 = self.p.emovav(self.data0, period = 9)
        self.ema21 = self.p.emovav(self.data0, period = 21)
        self.emaSignal = self.p.cross(self.ema9, self.ema21)
        self.emaSignal.plotinfo.plotname = "EMA Crossover"
  
    def next(self):
       if self.order:
           return
       if not self.position:
           if self.emaSignal > 0:
               self.buy()
       else:
           if self.emaSignal < 0:
               self.close()

cerebro = bt.Cerebro(stdstats = False)

cerebro.addobserver(bt.observers.BuySell, barplot = True, bardist = 0.0001)
cerebro.addobserver(bt.observers.Value)
cerebro.addobserver(bt.observers.Trades)

data = bt.feeds.GenericCSVData(
    dataname = 'SPY_11_2020_1M.txt',
    name = 'SPY',
    datetime = 0,
    dtformat = ('%m/%d/%Y %H:%M'),
    timeframe = dataTimeFrame,
    compression = compression,
    fromdate = dt(2020, 11, 10),
    todate = plotEnd,
    open = 1,
    high = 2,
    low = 3,
    close = 4,
    volume = 5,
    openinterest = -1,
)
cerebro.adddata(data)
data1 = cerebro.resampledata(data, timeframe = bt.TimeFrame.Days)
data1.plotinfo.plot = False

cerebro.broker.setcash(100000.0)
startValue = cerebro.broker.get_value()
print('Start Portfolio Value: %.2f' % startValue)

cerebro.addstrategy(PivotPoint)

cerebro.run()
cerebro.plot(style = 'candle', barup = 'green', bardown = 'red', start= plotStart, end= plotEnd, volume = True)

endValue = cerebro.broker.get_value()
pl = 100 * (endValue - startValue) / startValue
print('\lFinal Portfolio Value: {}\t\t\t P\L: {}%'.format(round(endValue, 2), round(pl, 2)))