import backtrader as bt

def start():
  cerebro = bt.Cerebro

  store = bt.stores.IBStore(port=7497)
  data = store.getdata(dataname='USD.JPY', secType='CASH', exchange='IDEALPRO', 
  timeframe=bt.TimeFrame.Seconds)
  cerebro.resampledata(data, timeframe=bt.TimeFrame.Minutes, compression=15)

  cerebro.run()


  start()

any Idea guys?

@dasch thanks I tried this but it didnt work

@dasch how about I put in a class?

this is my code :

data = bt.feeds.GenericCSVData(
    dataname='USDJPY_H1.csv',
 
    fromdate=datetime.datetime(2014, 4, 2),    
    todate=datetime.datetime(2014, 4, 4),

    nullvalue=0.0,  

    dateformat='%Y-%m-%d %H:%M:%S',

    datetime=0,   
    time=-1,    
    open=1,    
    high=2,    
    low=3,    
    close=4,    
    adjclose=5,    
    volume=6,    
    openinterest=-1, 

    timeframe=bt.TimeFrame.Minutes, compression=60)

and this is a part of my cvs file

    Date,Open,High,Low,Close,AdjClose,Volume
    
    2014-04-02 16:00:00 103.819	103.821	103.745	103.767	1854
    
    2014-04-02 17:00:00	103.767	103.839	103.732	103.775	1777
    
    2014-04-02 18:00:00	103.776	103.794	103.734	103.747	1072
    
    2014-04-02 19:00:00	103.749	103.867	103.748	103.852	1837
    
    2014-04-02 20:00:00	103.851	103.882	103.826	103.881	985
    
    2014-04-02 21:00:00	103.882	103.894	103.846	103.865	577  

Im getting this error : raise ValueError("unconverted data remains: %s" %
ValueError: unconverted data remains: 103.819 103.821 103.745 103.767 1854

can anyone tell me whats wrong?

I'm new to backtrader and coding in general, I managed to add indicator to a dataset and would like to build my strategy around this and more indicators and parameters in the future this is my code rn:

class _StochasticBase(bt.Indicator):
lines = ('percK', 'percD',)
params = (('period', 14), ('period_dfast', 3), ('movav', bt.indicators.SMA),
          ('upperband', 80.0), ('lowerband', 20.0),
          ('safediv', False), ('safezero', 0.0))

plotlines = dict(percD=dict(_name='%D', ls='--'),
                 percK=dict(_name='%K'))

def _plotlabel(self):
    plabels = [self.p.period, self.p.period_dfast]
    plabels += [self.p.movav] * self.p.notdefault('movav')
    return plabels

def _plotinit(self):
    self.plotinfo.plotyhlines = [self.p.upperband, self.p.lowerband]

def init(self):
    highesthigh = Highest(self.data.high, period=self.p.period)
    lowestlow = Lowest(self.data.low, period=self.p.period)
    knum = self.data.close - lowestlow
    kden = highesthigh - lowestlow
    if self.p.safediv:
        self.k = 100.0 * bt.DivByZero(knum, kden, zero=self.p.safezero)
    else:
        self.k = 100.0 * (knum / kden)
    self.d = self.p.movav(self.k, period=self.p.period_dfast)

    super(_StochasticBase, self).init()

class StochasticFast(_StochasticBase):
def init(self):
super(StochasticFast, self).init()
self.lines.percK = self.k
self.lines.percD = self.d

I want to make an strategy based on the two lines generated from the indicator and backtest from there but when I create my strategy class I don't know how to import the indicators to it (like I said I'm new to coding)
Also I have a RSI indicator and another separate CI that I've added but I don't know how to bring those two in my strategy as well and mix em together, thanks in advance