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/user_data/strategies/BadBoy.py", line 77, in populate_entry_trend
dataframe.loc[
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 881, in __setitem__
indexer = self._get_setitem_indexer(key)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 758, in _get_setitem_indexer
return self._convert_tuple(key)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 963, in _convert_tuple
keyidx = [self._convert_to_indexer(k, axis=i) for i, k in enumerate(key)]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 963, in
keyidx = [self._convert_to_indexer(k, axis=i) for i, k in enumerate(key)]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 1480, in _convert_to_indexer
if com.is_bool_indexer(key):
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/common.py", line 133, in is_bool_indexer
raise ValueError(na_msg)
ValueError: Cannot mask with non-boolean array containing NA / NaN values
