ValueError: Invalid frequency: ME

[xXgordonXx]

Expected behavior

what i do:

1. pip install backtesting
2. run from backtesting import Backtest, Strategy from backtesting.lib import crossover

from backtesting.test import SMA, GOOG

class SmaCross(Strategy): def init(self): price = self.data.Close self.ma1 = self.I(SMA, price, 10) self.ma2 = self.I(SMA, price, 20)

def next(self):
    if crossover(self.ma1, self.ma2):
        self.buy()
    elif crossover(self.ma2, self.ma1):
        self.sell()

bt = Backtest(GOOG, SmaCross, commission=.002, exclusive_orders=True) stats = bt.run() bt.plot()

3. expected result: is ploting a sample graph

Code sample

from backtesting import Backtest, Strategy
from backtesting.lib import crossover

from backtesting.test import SMA, GOOG


class SmaCross(Strategy):
    def init(self):
        price = self.data.Close
        self.ma1 = self.I(SMA, price, 10)
        self.ma2 = self.I(SMA, price, 20)

    def next(self):
        if crossover(self.ma1, self.ma2):
            self.buy()
        elif crossover(self.ma2, self.ma1):
            self.sell()


bt = Backtest(GOOG, SmaCross, commission=.002,
              exclusive_orders=True)
stats = bt.run()
bt.plot()

Actual behavior

3. error/ related report [ValueError: Invalid frequency: ME]

reference: https://github.com/pandas-dev/pandas/issues/57197

Additional info, steps to reproduce, full crash traceback, screenshots

1. seems there is typo in _plot_superimposed_ohlc() function

   def _plot_superimposed_ohlc(): """Superimposed, downsampled vbars""" time_resolution = pd.DatetimeIndex(df['datetime']).resolution resample_rule = (superimpose if isinstance(superimpose, str) else dict(day='ME', hour='D', minute='h', second='min', millisecond='s').get(time_resolution))

Software versions

• Backtesting version: 0.?.?
• bokeh.__version__:
• OS:

[kernc]

Please upgrade to pandas >= 2.2 or pass bt.plot(superimpose='M') or bt.plot(superimpose=False).