how to add data more quickly?

kang suheon

I wanna test one strategy with multiple stock data and multiple time frame. So, I add multiple stock data as below.

'''

dataframe = pd.read_pickle(datapath+'daily_total.pickle')

for i in items['code']: #3099
    dataframe = dataframe[dataframe['code'] == i]

    data_1 = bt.feeds.PandasData(dataname=dataframe,
                                 datetime='new_date',
                                 volume='vol')

    # Add the Data Feed to Cerebro
    cerebro.adddata(data_1)
    tframes = dict(
        daily=bt.TimeFrame.Days,
        weekly=bt.TimeFrame.Weeks,
        monthly=bt.TimeFrame.Months)

    cerebro.resampledata(data_1,
                         timeframe=tframes['weekly'],
                         compression=args.compression,)

    cerebro.resampledata(data_1,
                         timeframe=tframes['monthly'],
                         compression=args.compression
                         )

'''

and my strategy code is as below
'''

def next(self):
    if not self.position: # not in the market
        for i in range(len(self.datas)//3):

            if cond_A and cond_B and cond_C and cond_D:
                close = self.datas[i].close[0]

                size = 1

                self.buy(size=size)

                self.log('BUY CREATE, %.2f' % self.datas[i].close[0])

'''

Is it right way to test?
If it's right, how can i reduce execution time? I tried to add data in parallel, but it's fail.. (cerebro couldn't be rightly executed in parallel)
I think, i can reduce time in (1) add data, (2) strategy(backtest).

thank you for your watching. have a nice day!