@backtrader Thank you very much for the advice! I will have a closer look.

@Rodrigo-Brito Hello Rodrigo, thank you very much for your cool Trading Bot, it really gives me a great learning opportunity.

@backtrader Hello, thank you for looking into this.

If I do something stupid like:

# Create data feeds
try:
    hist_start_date = datetime.utcnow() - timedelta(minutes=3)
    data_min = bt.feeds.CCXT(exchange="kraken", symbol="BTC/USD", name="btc_usd_min",
                         timeframe=bt.TimeFrame.Minutes, fromdate=hist_start_date, compression=1,
                         config={'rateLimit': 10000, 'enableRateLimit': True}) #, historical=True)


# data_min=bt.feeds.YahooFinanceData(dataname='MSFT',fromdate=datetime(2011,1,1),todate=datetime(2012,12,31))

    cerebro.adddata(data_min)
    print (data_min)
    cerebro.addstrategy(SmaCross)
    cerebro.run()
    cerebro.plot()

except Exception as e:
    logging.error("Exeption", exc_info=True)

I get:

<backtrader.feeds.ccxt.CCXT object at 0x00000183FB3C3C88>

Even with the Yahoo Feed it is not trading, but it is plotting the chart at least.
I have the guts feeling the data needs to be formatted.

Hello all,

I am new to Python Coding with Backtrader. I would like to create a Backtrader based Bot for Kraken Crypto exchange, but I ran into an issue with
plotting the data for example. I have been using some SMA example code and add a CCXT Data Stream to it, it basically compiles, but it doesn't plot any data.
I wonder if some one could have a look?

Thank you in advance!

from __future__ import(absolute_import, division, print_function, unicode_literals)
from datetime import datetime, timedelta
import backtrader as bt
from backtrader import cerebro
import time

'''
def connect_broker():
    config = {'urls': {'api': 'https://api.sandbox.gemini.com'},
                         'apiKey': 'XXXXX',
                         'secret': 'XXXXX',
                         'nonce': lambda: str(int(time.time() * 1000))
                        }
    broker = bt.brokers.CCXTBroker(exchange="kraken",
                                   currency="USD", config=config)
    cerebro.setbroker(broker)

    # Create data feeds
    data_ticks = bt.feeds.CCXT(exchange="kraken", symbol="BTC/USD",
                              name="btc_usd_tick",
                              timeframe=bt.TimeFrame.Ticks,
                              compression=1, config=config)
    cerebro.adddata(data_ticks)
'''

class TestStrategy(bt.Strategy):
    #class SmaCross(bt.Strategy):
    # list of parameters which are configurable for the strategy
    params = dict(
        pfast=10,  # period for the fast moving average
        pslow=30   # period for the slow moving average
    )

    def __init__(self):
        sma1 = bt.ind.SMA(period=self.p.pfast)  # fast moving average
        sma2 = bt.ind.SMA(period=self.p.pslow)  # slow moving average
        self.crossover = bt.ind.CrossOver(sma1, sma2)  # crossover signal

    def next(self):
        if not self.position:  # not in the market
            if self.crossover > 0:  # if fast crosses slow to the upside
                self.buy()  # enter long

        elif self.crossover < 0:  # in the market & cross to the downside
            self.close()  # close long position 
   
if __name__ == '__main__':
    
    # Create Data Stream:
    hist_start_date = datetime.utcnow() - timedelta(minutes=60)
    data_min = bt.feeds.CCXT(exchange="kraken", symbol="BTC/USD", name="btc_usd_min", fromdate=hist_start_date,
                             timeframe=bt.TimeFrame.Minutes)
    
    # Create Cerebro Entity
    cerebro = bt.Cerebro()
    cerebro.adddata(data_min)
    cerebro.addstrategy(TestStrategy)
    cerebro.run()
    cerebro.plot()