MACD strategy not executed at all

[Emi Colombo]

I try to deploy this MACD strategy with ta-lib indicator, but in the backtest is not working , the order never executed it

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import datetime  # For datetime objects
import os.path  # To manage paths
import sys  # To find out the script name (in argv[0])
import talib as tab
import numpy as np


# Import the backtrader platform
import backtrader as bt


# Create a Stratey
class MACDtrategy(bt.Strategy):
    """params = (
        ('Fastperiod', 12),
        ('Slowperiod', 26),
        ('Signalperiod', 9),
    )"""

    def log(self, txt, dt=None):
        ''' Logging function fot this strategy'''
        dt = dt or self.datas[0].datetime.date(0)
        print('%s, %s' % (dt.isoformat(), txt))

    def __init__(self):
        # Keep a reference to the "close" line in the data[0] dataseries
        self.dataclose = self.datas[0].close

        # To keep track of pending orders and buy price/commission
        self.order = None
        self.buyprice = None
        self.buycomm = None

        # Instantiate MACD indicators
        self.macd, self.macdsignal, self.macdhist = tab.MACD(np.array(self.dataclose), fastperiod=12, slowperiod=26, signalperiod=9)
        #self.rsi  = tab.RSI(np.array(self.dataclose),timeperiod=10)
    def notify_order(self, order):
        if order.status in [order.Submitted, order.Accepted]:
            # Buy/Sell order submitted/accepted to/by broker - Nothing to do
            return

        # Check if an order has been completed
        # Attention: broker could reject order if not enough cash
        if order.status in [order.Completed]:
            if order.isbuy():
                self.log(
                    'BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                    (order.executed.price,order.executed.value,order.executed.comm))

                self.buyprice = order.executed.price
                self.buycomm = order.executed.comm
            else:  # Sell
                self.log('SELL EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                        (order.executed.price,order.executed.value,order.executed.comm))

            self.bar_executed = len(self)

        elif order.status in [order.Canceled, order.Margin, order.Rejected]:
            self.log('Order Canceled/Margin/Rejected')

        self.order = None

    def notify_trade(self, trade):
        if not trade.isclosed:
            return

        self.log('OPERATION PROFIT, GROSS %.2f, NET %.2f' %(trade.pnl, trade.pnlcomm))

    def next(self):
        # Simply log the closing price of the series from the reference
        self.log('Close, %.2f' % self.dataclose[0])

        # Check if an order is pending ... if yes, we cannot send a 2nd one
        if self.order:
            return

        # Check if we are in the market
        if not self.position:

            # Not yet ... we MIGHT BUY if ...
            
            if self.macdhist[0] > 0 and  self.macdhist[-1] < 0 :

                # BUY, BUY, BUY!!! (with default parameters)
                self.log('BUY CREATE, %.2f' % self.dataclose[0])

                # Keep track of the created order to avoid a 2nd order
                self.order = self.buy()

            """elif self.macdhist[0] < 0 and self.macdhist[-1] > 0:
                self.log(f'SELL CREATE {self.dataclose[0]:2f}')

			    # Keep track of the created order to avoid a 2nd order
			    
                self.order = self.sell()"""



        else:
            # Already in the market ... we might sell
            if self.macdhist[0] < 0 and self.macdhist[-1] > 0 :
                self.log('SELL CREATE, {0:8.2f}'.format(self.dataclose[0]))
                self.order = self.sell()

if __name__ == '__main__':
    # Create a cerebro entity
    cerebro = bt.Cerebro()

    # Add a strategy
    cerebro.addstrategy(MACDStrategy)

    # Datas are in a subfolder of the samples. Need to find where the script is
    # because it could have been called from anywhere
    #modpath = os.path.dirname(os.path.abspath(sys.argv[0]))
    #datapath = os.path.join(modpath, '../../datas/orcl-1995-2014.txt')

    # Create a Data Feed
    data = bt.feeds.YahooFinanceCSVData(dataname='AMZN.csv')
        # Do not pass values before this date
        #fromdate=datetime.datetime(2000, 1, 1),
        # Do not pass values after this date
        #todate=datetime.datetime(2010, 12, 31),
        #reverse=False)

    # Add the Data Feed to Cerebro
    cerebro.adddata(data)

    # Set our desired cash start
    cerebro.broker.setcash(100000.0)

    # Add a FixedSize sizer according to the stake
    cerebro.addsizer(bt.sizers.FixedSize, stake=10)

    # Set the commission - 0.1% ... divide by 100 to remove the %
    cerebro.broker.setcommission(commission=0.001)

    # Print out the starting conditions
    print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())

    # Run over everything
    cerebro.run()

    # Print out the final result
    print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue()) 

[Bryan Moreno]

Hey Emi!
I'd say that it's because of the way you are calling the macd value.

self.macd[0] > self.p.macd_umbral

This is the way I use it in my strategy, maybe could work for you.