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/NHXv2.py", line 388, in populate_buy_trend
(dataframe['cti'] > 0.1) |
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/ops/common.py", line 76, in new_method
return method(self, other)
^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/arraylike.py", line 78, in __or__
return self._logical_method(other, operator.or_)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/series.py", line 5814, in _logical_method
res_values = ops.logical_op(lvalues, rvalues, op)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/ops/array_ops.py", line 456, in logical_op
res_values = na_logical_op(lvalues, rvalues, op)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/ops/array_ops.py", line 364, in na_logical_op
result = op(x, y)
^^^^^^^^
ValueError: operands could not be broadcast together with shapes (9129,) (2,)
stoploss: -0.04
timeframe: 5m
hash(sha256): c52a0ae0fa776135a7fe14182d01a11cc5be802fecbf5439636c34102adab960
indicators:
rsi_buy EWO pct_change_int_short ewo_high ispumping
ewo_low high_offset_2 close cti_mean ewo_high_2
pct_change_short plus_dibad sell_signal mfi profit_threshold
pct_change isshortpumping fastk rsi_fast ma_sell_val
ma_buy_val volume hlc3 low_offset retries
high_offset low_offset_2 open plus_di fastd
open_ok base_nb_candles_buy pct_change_int islongpumping lambo2cti
high fast_d ewobad ___retries base_nb_candles_sell
hma_50 TEMA buy buy_tag cti
sma_9 ema_100 lookback_candles recentispumping adx
min
Similar Strategies: (based on used indicators)
Strategy: NHX1m, Similarity Score: 98.08%
Strategy: NHXv1m, Similarity Score: 98.08%
Strategy: NHXv3, Similarity Score: 98.08%
Strategy: NHXv30m, Similarity Score: 98.08%
Strategy: NHXv33, Similarity Score: 98.08%
Strategy: NHXv33t, Similarity Score: 98.08%
Strategy: NHXvtest, Similarity Score: 98.08%
Strategy: NHXvtest2, Similarity Score: 98.08%
Strategy: NHXvtest2b, Similarity Score: 98.08%
Strategy: NHXvtest3, Similarity Score: 98.08%
Strategy: Ifrit, Similarity Score: 94.23%
Strategy: IfritRisen_Lite, Similarity Score: 94.23%
Strategy: IfritRisen_LiteB, Similarity Score: 94.23%
Strategy: IfritRisen_LiteC, Similarity Score: 94.23%
Strategy: Ifrit_Risen, Similarity Score: 94.23%
Strategy: Ifrit_Risen_15m, Similarity Score: 94.23%
Strategy: Ifrit_Risen_3m, Similarity Score: 94.23%
Strategy: Ifrit_Risen_Fix, Similarity Score: 94.23%
Strategy: NHO113V4, Similarity Score: 94.23%
Strategy: NHO113VX, Similarity Score: 94.23%
Strategy: NHv3D, Similarity Score: 94.23%
Strategy: NHv3X, Similarity Score: 94.23%
Strategy: NHv3b, Similarity Score: 94.23%
Strategy: NHv3c, Similarity Score: 94.23%
Strategy: NPv3, Similarity Score: 94.23%
Strategy: NotAnotherSMAOffsetStrategyHOv3_83, Similarity Score: 94.23%
Strategy: ULTIMA, Similarity Score: 94.23%
Strategy: YSX, Similarity Score: 94.23%
Strategy: NHXv4, Similarity Score: 92.31%
Strategy: NHXv5, Similarity Score: 90.38%
Strategy: NHXv5t, Similarity Score: 90.38%
Strategy: NHZv2, Similarity Score: 90.38%
Strategy: NotAnotherSMAOffsetStrategyModHOv3, Similarity Score: 90.38%
Strategy: NotAnotherSMAOffsetStrategyModHOv3b, Similarity Score: 90.38%
Strategy: NHXv6, Similarity Score: 84.62%
Strategy: NHXv6b, Similarity Score: 84.62%
Strategy: NM5vtest3, Similarity Score: 82.69%
Strategy: NBO, Similarity Score: 80.77%
Strategy: NBO_2, Similarity Score: 80.77%
Strategy: Offset_v10, Similarity Score: 80.77%
Strategy: Offset_v11, Similarity Score: 80.77%
Strategy: Offset_v2, Similarity Score: 80.77%
Strategy: Offset_v3, Similarity Score: 80.77%
Strategy: Offset_v4, Similarity Score: 80.77%
Strategy: Offset_v5, Similarity Score: 80.77%
Strategy: Offset_v6, Similarity Score: 80.77%
Strategy: Offset_v7, Similarity Score: 80.77%
Strategy: Offset_v8, Similarity Score: 80.77%
Strategy: Offset_v9, Similarity Score: 80.77%
Strategy: NHXv7, Similarity Score: 78.85%
Strategy: NHXv7t, Similarity Score: 78.85%
Strategy: IRv2, Similarity Score: 76.92%
Strategy: NHXv6c, Similarity Score: 76.92%
Strategy: UNHX, Similarity Score: 76.92%
Strategy: UNHXv3, Similarity Score: 76.92%
last change: 2024-08-03 19:13:23
