Thanks a lot guys. You guys are genius with Backtrader.
I would like to know that can remove some extra details from csv file when using Writer.

Like pnl ,tickers etc

Exporting data in csv.
Hey guys can u please help me on how to export the data of trades and all the details printed in the terminal to csv files.
I want to export all my trades in csv files
@run-out @ab_trader @backtrader

Thanks a lot for the reply man it helped.
@run-out there's one another problem- The code is not ending anywhere. It is just running

So sorry for not posting the error.
Here you go.

Traceback (most recent call last):
File "C:/Users/Abhishek/Backtrader/orb.py", line 44, in <module>
cerebro.adddata(data)
TypeError: adddata() missing 1 required positional argument: 'data'

import backtrader as bt
import datetime
import backtrader.feeds as btfeed


class MyStrategy(bt.Strategy):
    def __init__(self):
        ma_short = bt.ind.SMA(period=10)
        ma_long = bt.ind.SMA(period=20)
        self.crossover = bt.ind.CrossOver(ma_long, ma_short)

    def next(self):
        if not self.position:
            if self.crossover > 0:
                self.buy()
        elif self.crossover < 0:
            self.close()


if __name__ == '__main__':
    cerebro = bt.Cerebro


    class DataFeed(btfeed.GenericCSVData):
        params = (

            ('dtformat', '%Y%m%d'),
            ('tmformat', '%H:%M:%S'),
            ('datetime', 0),
            ('time', 1),
            ('open', 2),
            ('high', 3),
            ('low', 4),
            ('close', 5),
            ('volume', 6),
            ('openinterest', 7)
        )


    data = DataFeed(dataname='BANKNIFTYAUG19.csv', timeframe=bt.TimeFrame.Minutes, compression=15,
                    fromdate=datetime.datetime(2019, 7, 20),
                    todate=datetime.datetime(2019, 8, 30))

    cerebro.adddata(data)
    cerebro.addstrategy(MyStrategy)
    cerebro.broker.setcash(100000)

    cerebro.run()

**Getting this error again. Started again with Backtrader after few days of break. Please help
@run-out @ab_trader @backtrader **```
import backtrader as bt
import datetime
import backtrader.feeds as btfeed

class MyStrategy(bt.Strategy):
def init(self):
sma_short = bt.ind.SMA(period=10)
sma_long = bt.ind.SMA(period=20)
self.crossover = bt.ind.CrossOver(sma_short, sma_long)

def next(self):
    if not self.position:
        if self.crossover > 0:
            self.buy()
    elif self.crossover < 0:
        self.close()

if name == 'main':
cerebro = bt.Cerebro

class DataFeed(btfeed.GenericCSVData):
    params = (

        ('dtformat', '%Y%m%d'),
        ('tmformat', '%H:%M:%S'),
        ('datetime', 0),
        ('time', 1),
        ('open', 2),
        ('high', 3),
        ('low', 4),
        ('close', 5),
        ('volume', 6),
        ('openinterest', 7)
    )


data = DataFeed(dataname='BANKNIFTYAUG19.csv', timeframe=bt.TimeFrame.Minutes, compression=15,
                fromdate=datetime.datetime(2019, 7, 20),
                todate=datetime.datetime(2019, 8, 30))

cerebro.adddata(data)
cerebro.addstrategy(MyStrategy)
cerebro.run()

It still doesn't work. Can u connect over teamviewer for some help.

I wanted to make a range breakout strategy. Mkt opens at 9:15 IST. I want the algo to calculate the range of 1st 15min bar and buy or sell if the price is above high or low. I have a 1 min data.
in this code i am getting an IndexError.
Please help
@backtrader @ab_trader @run-out

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)
import backtrader as bt
import datetime
# from datetime import datetime
import os
import sys
import backtrader.feeds as btfeed

import pandas as pd


class TestStrategy(bt.Strategy):
    def log(self, txt, dt=None):
        dt = dt or self.data.datetime.datetime(0)
        print('%s, %s' % (dt.isoformat(), txt))

    def __init__(self):
        self.datahigh = self.datas[0].high
        self.datalow = self.datas[0].low
        self.dataclose = self.datas[0].close
        self.order = None
        self.buyprice = None
        self.buycomm = None
        # self.starttime = datetime.replace(hour=9, minute=30, second=0)
        # self.t = self.datas[0].datetime.time(0)

    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))

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

        self.order = None

    def next(self):

        if self.order:
            return
        if not self.position:

            if self.dataclose[0] > self.datahigh[-1]:
                self.log('BUY CREATED, %.2f' % self.dataclose[0])

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

            else:
                if self.dataclose[0] < self.datalow[-1]:
                    self.log('SELL CREATED, %.2f' % self.dataclose[0])

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

    def stop(self):
        self.log(' Ending Value %.2f' % (self.broker.getvalue()))


if __name__ == '__main__':
    cerebro = bt.Cerebro()


    class DataFeed(btfeed.GenericCSVData):
        params = (

            ('dtformat', '%Y%m%d'),
            ('tmformat', '%H:%M:%S'),
            ('datetime', 0),
            ('time', 1),
            ('open', 2),
            ('high', 3),
            ('low', 4),
            ('close', 5),
            ('volume', 6),
            ('openinterest', 7)
        )


    data = DataFeed(dataname='BANKNIFTYFEB18.csv', timeframe=bt.TimeFrame.Minutes, compression=15,
                    fromdate=datetime.datetime(2017, 2, 1),
                    todate=datetime.datetime(2017, 2, 28))

    cerebro.adddata(data)
    cerebro.addstrategy(TestStrategy)

    cerebro.run()
ext

@run-out Sorry the mkt starts at 9:15

@run-out Hey that error has been solved. I want to code my program that is starts taking trade after 9:30(Market opens at 9:30). Timeframe = 1 minute
Condition is if close of any 1 minute bar after 9:30 is above the high range then buy at market price.
If close of any 1 minute bar after 9:30 is below the low range then sell at market price.

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)
import backtrader as bt
import datetime
from datetime import datetime
import os
import sys
import backtrader.feeds as btfeed

import pandas as pd


class TestStrategy(bt.Strategy):
    def log(self, txt, dt=None):
        dt = dt or self.data.datetime.datetime(0)
        print('%s, %s' % (dt.isoformat(), txt))

    def __init__(self):
        self.buysignal = self.data.close > self.data.high
        self.sellsignal = self.data.close > self.data.low
        self.dataclose = self.datas[0].close
        self.order = None
        self.buyprice = None
        self.buycomm = None
        self.starttime = datetime.now().replace(hour=9, minute=30, second=0)
        self.t = self.datas[0].datetime.time(0)

    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))

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

        self.order = None

    def next(self):

        if self.order:
            return
        if not self.position:
            if self.t > self.starttime.time():
                if self.buysignal:
                    self.log('BUY CREATED, %.2f' % self.dataclose[0])

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

                else:
                    if self.sellsignal:
                        self.log('SELL CREATED, %.2f' % self.dataclose[0])

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

    def stop(self):
        self.log(' Ending Value %.2f' % (self.broker.getvalue()))


if __name__ == '__main__':
    cerebro = bt.Cerebro()


    class DataFeed(btfeed.GenericCSVData):
        params = (
            ('dtformat', '%Y%m%d'),
            ('tmformat', '%H:%M:%S'),
            ('datetime', 0),
            ('time', 1),
            ('open', 2),
            ('high', 3),
            ('low', 4),
            ('close', 5),
            ('volume', 6),
            ('openinterest', 7)
        )


    data = DataFeed(dataname='BANKNIFTYFEB18.csv', timeframe=bt.TimeFrame.Minutes, compression=1)
    cerebro.adddata(data)
    cerebro.addstrategy(TestStrategy)

    cerebro.run()

    # why declare a class for generating data
    # my data fromat is diff than the yahoo data. so have to modify
    # letme show u the plott file

@Abhishek-Agrawal @backtrader @ab_trader