Thank you very much.

My script is:

 btrun --csvformat btcsv \
       --data bitfinex_BTCUSD_min_20160601_20160803_2.csv \
        --cash 10000 \
        --commission 0.0035 \
        --margin 10000 \
        --cerebro  \
        --strategy ema_mean_reversion_strategy.py:TestStrategy:printlog=True,emaperiod=747,upper=31,lower=-28,trailpercent=12 \
         --fromdate 2016-06-01T00:01:00 \
         --todate 2016-08-03T02:02:00 \
         --analyzer :SharpeRatio \
         --writer csv=True > ~/Python-for-Finance1/automate_backtest_result.csv \
         --timeframe minutes \
         --compression 1

My csv file is:

Datetime,Open,High,Low,Close,Volume,openinterest
2016-06-01T00:01:00,530.68,530.69,530.68,530.69,5.16764001,7.7e-05

the result is the same.
I understanded the reason. the datetime column should be split to date and time columns. the datetime in result is correct.

@backtrader I am running btrun. The format of datetime is "%YYYY-%mm-%dd %HH:%MM:%SS" or "%YYYY-%mm-%ddT%HH:%MM:%SS", I used minutes level data, the datetime of first line is "2016-06-01T00:01:00", but the stanstat result display the datetime is "%YYYY-%mm-%dd 23:59:59.999989".

Id,bitfinex_BTCUSD_min_20160601_20160803_2,len,datetime,open,high,low,close,volume,openinterest,TestStrategy,len,datetime,Broker,len,cash,value,BuyS
ell,len,buy,sell,Trades - Net Profit/Loss,len,pnlplus,pnlminus
1,bitfinex_BTCUSD_min_20160601_20160803_2,1,2016-06-01 23:59:59.999989,530.68,530.69,530.68,530.69,5.16764001,7.7e-05,TestStrategy,1,736116.99999999
99,Broker,1,10000.0,10000.0,BuySell,1,,,Trades - Net Profit/Loss,1,,

code_text

What is the format of datetime in btcsvData?

In Linux, when I added optstrategy, there was a error:
Traceback (most recent call last):
File "ema_mean_reversion.py", line 355, in <module>
results = cerebro.run()
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/backtrader/cerebro.py", line 1143, in run
for r in pool.imap(self, iterstrats):
File "/home/ubuntu/anaconda3/lib/python3.7/multiprocessing/pool.py", line 748, in next
raise value
multiprocessing.pool.MaybeEncodingError: Error sending result: '[<main.EmaMeanReversionStrategy object at 0x7f4ab7de6b38>]'. Reason: 'PicklingError("Can't pickle <class'main.EmaMeanReversionStrategy'>: it's not the same object as__main__.EmaMeanReversionStrategy")'
this is my codes:

class EmaMeanReversionStrategy(bt.Strategy):
    params = (
        ('emaperiod', 750),
        ('printlog', False),
        ('upper', 3.0),
        ('lower', - 2.7)
    )
    def __init__(self):
        self.dataclose = self.datas[0].close
        self.ema = bt.indicators.ExponentialMovingAverage(
                self.datas[0], period=self.params.emaperiod)
        self.dpce = (self.dataclose / self.ema - 1) * 100
        
        .....
if __name__ == '__main__':
    cerebro = bt.Cerebro(optreturn=False)
    cerebro.optstrategy(EmaMeanReversionStrategy, upper = np.arange(2.0, 4.0, 0.2))
    cerebro.addobserver(bt.observers.DrawDown)
    cerebro.addsizer(bt.sizers.PercentSizer, percents = 95)
    dataframe = pd.read_csv('bitfinex_BTCUSD_min_20180601_20190531.csv', index_col=0, parse_dates=True)
    dataframe['openinterest'] = 0
    fromdate = datetime.datetime(2018, 12, 1, 0, 1)
    fromdate_str = fromdate.strftime('%Y/%m/%d')
    todate = datetime.datetime(2019, 5, 31, 23, 59)
    todate_str = todate.strftime('%Y/%m/%d')
    data = bt.feeds.PandasData(dataname=dataframe,
        fromdate = fromdate,
        todate = todate,
        timeframe = bt.TimeFrame.Minutes
        )
    # Add the Data Feed to Cerebro
    cerebro.adddata(data, name = 'BTCUSD')
    # Set our desired cash start
    cerebro.broker.setcash(100000.0)
    # Set the commission
    cerebro.broker.setcommission(commission=0.0035)
    results = cerebro.run()