Traceback (most recent call last):
File "/freqtrade/freqtrade/vendor/qtpylib/indicators.py", line 283, in rolling_max
return series.rolling(window=window, min_periods=min_periods).max()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/generic.py", line 12152, in rolling
return Rolling(
^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 169, in __init__
self._validate()
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 1864, in _validate
super()._validate()
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 176, in _validate
raise ValueError("min_periods must be an integer")
ValueError: min_periods must be an integer
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/freqtrade/freqtrade/main.py", line 42, in main
return_code = args['func'](args)
^^^^^^^^^^^^^^^^^^
File "/freqtrade/freqtrade/commands/optimize_commands.py", line 58, in start_backtesting
backtesting.start()
File "/freqtrade/freqtrade/optimize/backtesting.py", line 1401, in start
min_date, max_date = self.backtest_one_strategy(strat, data, timerange)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/freqtrade/freqtrade/optimize/backtesting.py", line 1335, in backtest_one_strategy
results = self.backtest(
^^^^^^^^^^^^^^
File "/freqtrade/freqtrade/optimize/backtesting.py", line 1213, in backtest
data: Dict = self._get_ohlcv_as_lists(processed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/freqtrade/freqtrade/optimize/backtesting.py", line 381, in _get_ohlcv_as_lists
df_analyzed = self.strategy.ft_advise_signals(pair_data, {'pair': pair})
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/freqtrade/freqtrade/strategy/interface.py", line 1391, in ft_advise_signals
dataframe = self.advise_entry(dataframe, metadata)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/freqtrade/freqtrade/strategy/interface.py", line 1425, in advise_entry
df = self.populate_entry_trend(dataframe, metadata)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/freqtrade/freqtrade/strategy/interface.py", line 225, in populate_entry_trend
return self.populate_buy_trend(dataframe, metadata)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/freqtrade/user_data/strategies/Discord_2_Strategy001.py", line 61, in populate_buy_trend
dataframe.rolling_max(dataframe['tanh'])
File "/freqtrade/freqtrade/vendor/qtpylib/indicators.py", line 285, in rolling_max
return pd.Series(series).rolling(window=window, min_periods=min_periods).max()
^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/series.py", line 475, in __init__
data, index = self._init_dict(data, index, dtype)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/series.py", line 549, in _init_dict
if data:
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/generic.py", line 1519, in __nonzero__
raise ValueError(
ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
