Thank you it worked!

I am using the demo of interactive brokers

I tried the first link, however I am getting the error below

Server Version: 76
TWS Time at connection:20200505 12:36:00 PST
--------------------------------------------------
Strategy Created
--------------------------------------------------
Timezone from ContractDetails: EST (Eastern Standard Time)
Datetime, Open, High, Low, Close, Volume, OpenInterest, SMA
***** STORE NOTIF: <error id=-1, errorCode=2104, errorMsg=Market data farm connection is OK:usfarm.nj>
***** STORE NOTIF: <error id=-1, errorCode=2104, errorMsg=Market data farm connection is OK:cashfarm>
***** STORE NOTIF: <error id=-1, errorCode=2104, errorMsg=Market data farm connection is OK:usfarm>
***** STORE NOTIF: <error id=-1, errorCode=2106, errorMsg=HMDS data farm connection is OK:ushmds>
***** STORE NOTIF: <error id=-1, errorCode=2158, errorMsg=Sec-def data farm connection is OK:secdefil>
***** DATA NOTIF: DELAYED
***** DATA NOTIF: NOTSUBSCRIBED
***** STORE NOTIF: <error id=16777217, errorCode=354, errorMsg=Requested market data is not subscribed.Delayed market data is available.Error&BEST/STK/Top&BEST/STK/Top>

and here is my interactive brokers api configuration page

can you help? Thank you

Hi, I am just wondering if anyone will be kind enough to provide an example on how to access live data on backtrader. Thank you.

Thank you it worked!

As the title suggests, I am having problems loading intraday data into my code. It is giving ValueError, but I don't know why.
Here is my code:

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)
import datetime
import os.path
import sys
import backtrader as bt
class TestStrategy(bt.Strategy):
    params = (
        ('exitbars', 5),
    )

    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):
        self.dataclose = self.datas[0].close
        self.order = None
        self.buyprice = None
        self.buycomm = None

    def notify_order(self, order):
        if order.status in [order.Submitted, order.Accepted]:
            return
        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):
        self.log('Close, %.2f' % self.dataclose[0])
        if self.order:
            return
        if not self.position:
            if self.dataclose[0] < self.dataclose[-1]:
                    if self.dataclose[-1] < self.dataclose[-2]:
                        self.log('BUY CREATE, %.2f' % self.dataclose[0])
                        self.order = self.buy()

        else:
            if len(self) >= (self.bar_executed + self.params.exitbars):
                # SELL, SELL, SELL!!! (with all possible default parameters)
                self.log('SELL CREATE, %.2f' % self.dataclose[0])
                self.order = self.sell()
if __name__ == '__main__':
    cerebro = bt.Cerebro()
    cerebro.addstrategy(TestStrategy)
    data = bt.feeds.BacktraderCSVData(dataname="dat.csv")
    cerebro.adddata(data)
    cerebro.broker.setcash(100000.0)
    cerebro.addsizer(bt.sizers.FixedSize, stake=25)
    print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())
    cerebro.run()
    cerebro.plot()
    print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())

Here is the error it is giving me:

Starting Portfolio Value: 100000.00
Traceback (most recent call last):
  File "code.py", line 79, in <module>
    cerebro.run()
  File "C:\Users\Brian\AppData\Local\Programs\Python\Python37-32\lib\site-packages\backtrader\cerebro.py", line 1127, in run
    runstrat = self.runstrategies(iterstrat)
  File "C:\Users\Brian\AppData\Local\Programs\Python\Python37-32\lib\site-packages\backtrader\cerebro.py", line 1212, in runstrategies
    data.preload()
  File "C:\Users\Brian\AppData\Local\Programs\Python\Python37-32\lib\site-packages\backtrader\feed.py", line 688, in preload
    while self.load():
  File "C:\Users\Brian\AppData\Local\Programs\Python\Python37-32\lib\site-packages\backtrader\feed.py", line 479, in load
    _loadret = self._load()
  File "C:\Users\Brian\AppData\Local\Programs\Python\Python37-32\lib\site-packages\backtrader\feed.py", line 710, in _load
    return self._loadline(linetokens)
  File "C:\Users\Brian\AppData\Local\Programs\Python\Python37-32\lib\site-packages\backtrader\feeds\btcsv.py", line 52, in _loadline
    self.lines.open[0] = float(next(itoken))
ValueError: could not convert string to float: '10:00:00'

and here is a peek inside my data, which is a csv file.

Date,Time,Open,High,Low,Close,Volume
2020-04-28,10:00:00,1.16,1.16,1.15,1.16,2660
2020-04-28,10:01:00,1.16,1.16,1.155,1.1565,11098
2020-04-28,10:02:00,1.16,1.16,1.15,1.155,4958
2020-04-28,10:03:00,1.16,1.16,1.15,1.1501,45815
2020-04-28,10:04:00,1.1439,1.1499,1.14,1.1422,8953
2020-04-28,10:05:00,1.14,1.1485,1.14,1.1439,4114
2020-04-28,10:06:00,1.15,1.15,1.15,1.15,425
2020-04-28,10:07:00,1.15,1.15,1.14,1.15,8364
2020-04-28,10:08:00,1.15,1.16,1.1496,1.16,42291
2020-04-28,10:09:00,1.1501,1.16,1.15,1.16,4751
2020-04-28,10:10:00,1.15,1.155,1.15,1.155,10705
2020-04-28,10:11:00,1.1501,1.16,1.1501,1.155,2971
2020-04-28,10:12:00,1.16,1.16,1.155,1.155,1776
2020-04-28,10:13:00,1.16,1.16,1.1515,1.16,3115
2020-04-28,10:14:00,1.16,1.16,1.155,1.16,2321
2020-04-28,10:15:00,1.16,1.16,1.155,1.16,875

Any help is appreciated. Thank you!