Plotting not working when loading using replay data for multiple assets

[kiskoapeles]

Plotting for the exponential moving averages for multiple assets work on cerebro.resampledata but not on cerebro.replaydata.

How can I still use replaydata to more accurately simulate my trading strategy.

Here is my code:

%matplotlib inline

import backtrader as bt
import backtrader.feeds as btfeeds
import backtrader.indicators as btind
import datetime
from tqdm.notebook import tqdm

working_crypto_list = ['ETC', 'XRP', 'ADA']
print(working_crypto_list)

start_date=datetime.datetime(2018, 1, 1)
end_date=datetime.datetime(2021, 12, 30)

input_data_timeframe = bt.TimeFrame.Minutes
input_data_compression = 60

starting_cash = 100_000.0
timeframe = bt.TimeFrame.Days
ma_window_0 = 9
ma_window_1 = 20
ma_window_2 = 50

class TestStrategy(bt.Strategy):
    params = (
    ('data_list', working_crypto_list),
)

    def __init__(self):
        self.closed_trades = 0
        
        self.close_price_array = {}
        self.high_price_array = {}
        self.low_price_array = {}

        self.ema_0_array = {}
        self.ema_1_array = {}
        self.ema_2_array = {}

        self.macd_array = {}
            
            
        #For every data feed in data_list
        for asset_index in  tqdm(range(len(self.params.data_list))):

            # Keep a reference to the "close" line in the data[0] dataseries
            self.close_price_array[asset_index] = self.datas[asset_index].close

            self.high_price_array[asset_index] = self.datas[asset_index].high
            self.low_price_array[asset_index] = self.datas[asset_index].low

            self.ema_0_array[asset_index] = btind.ExponentialMovingAverage(self.datas[asset_index].close, period=ma_window_0)
            self.ema_1_array[asset_index] = btind.ExponentialMovingAverage(self.datas[asset_index].close, period=ma_window_1)
            self.ema_2_array[asset_index] = btind.ExponentialMovingAverage(self.datas[asset_index].close, period=ma_window_2)

            self.macd_array[asset_index] = btind.MACD(self.datas[asset_index].close)
            
    def next(self):
        return

cerebro = bt.Cerebro()
cerebro.addstrategy(TestStrategy, data_list=working_crypto_list)


for crypto in working_crypto_list:
    file = f'{crypto}USDT_1h_1514736000000_1640880000000.csv'
    data = btfeeds.GenericCSVData(
    dtformat=('%Y-%m-%d %H:%M:%S'),
    dataname=file,
    headers=True,
    datetime=0,
    open=1,
    high=2,
    low=3,
    close=4,
    volume=5,
    openinterest=-1,
    fromdate=start_date,
        todate=end_date,
        timeframe=input_data_timeframe, 
        compression=input_data_compression,
    )
    
    #PROBLEMATIC PART
    cerebro.replaydata(data, timeframe=bt.TimeFrame.Days) #NOT WORKING
    #cerebro.resampledata(data, timeframe=bt.TimeFrame.Days) #WORKING

cerebro.broker.setcash(starting_cash)
cerebro.run()
cerebro.plot(iplot=True)

[kiskoapeles]

Here are images of the results

using cerebro.replaydata:
Exponential Moving Averages are off for the other assets

using cerebro.resampledata:
No problem

Here are the three csv files I used