Traceback (most recent call last):
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexes/base.py", line 3791, in get_loc
return self._engine.get_loc(casted_key)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "index.pyx", line 152, in pandas._libs.index.IndexEngine.get_loc
File "index.pyx", line 181, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 7080, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 7088, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'btcrsi_8'
The above exception was the direct cause of the following exception:
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/NHXv7t.py", line 421, in populate_buy_trend
(dataframe["btcrsi_8"] < 35)
~~~~~~~~~^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/frame.py", line 3893, in __getitem__
indexer = self.columns.get_loc(key)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexes/base.py", line 3798, in get_loc
raise KeyError(key) from err
KeyError: 'btcrsi_8'
stoploss: -0.028
timeframe: 5m
hash(sha256): 683cc9532cfcfbbead2f1b199fc621e95fbcad9ea06bf47dc96c4280f984776d
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 USDT BUSD fastk
df_rvol_21 rsi_fast ma_sell_val btc_info_ ma_buy_val
open high low close volume
volume hlc3 low_offset retries high_offset
low_offset_2 open plus_di fastd btcrsi_8
open_ok base_nb_candles_buy pct_change_int islongpumping lambo2cti
df_rvol_15 high fast_d ewobad ___retries
emarsi base_nb_candles_se
Similar Strategies: (based on used indicators)
Strategy: NHXv7, Similarity Score: 98.11%
Strategy: NHXv6, Similarity Score: 92.45%
Strategy: NHXv6b, Similarity Score: 92.45%
Strategy: NHXv5, Similarity Score: 90.57%
Strategy: NHXv5t, Similarity Score: 90.57%
Strategy: NHXv6c, Similarity Score: 90.57%
Strategy: UNHX, Similarity Score: 90.57%
Strategy: UNHXv3, Similarity Score: 90.57%
Strategy: IRv2, Similarity Score: 88.68%
Strategy: NHX1m, Similarity Score: 84.91%
Strategy: NHXv1m, Similarity Score: 84.91%
Strategy: NHXv2, Similarity Score: 84.91%
Strategy: NHXv3, Similarity Score: 84.91%
Strategy: NHXv30m, Similarity Score: 84.91%
Strategy: NHXv33, Similarity Score: 84.91%
Strategy: NHXv33t, Similarity Score: 84.91%
Strategy: NHXv4, Similarity Score: 84.91%
Strategy: NHXvtest, Similarity Score: 84.91%
Strategy: NHXvtest2, Similarity Score: 84.91%
Strategy: NHXvtest2b, Similarity Score: 84.91%
Strategy: NHXvtest3, Similarity Score: 84.91%
Strategy: Ifrit, Similarity Score: 83.02%
Strategy: IfritRisen_Lite, Similarity Score: 83.02%
Strategy: IfritRisen_LiteB, Similarity Score: 83.02%
Strategy: IfritRisen_LiteC, Similarity Score: 83.02%
Strategy: Ifrit_Risen, Similarity Score: 83.02%
Strategy: Ifrit_Risen_15m, Similarity Score: 83.02%
Strategy: Ifrit_Risen_3m, Similarity Score: 83.02%
Strategy: Ifrit_Risen_Fix, Similarity Score: 83.02%
Strategy: NHO113V4, Similarity Score: 83.02%
Strategy: NHO113VX, Similarity Score: 83.02%
Strategy: NHZv2, Similarity Score: 83.02%
Strategy: NHv3D, Similarity Score: 83.02%
Strategy: NHv3X, Similarity Score: 83.02%
Strategy: NHv3b, Similarity Score: 83.02%
Strategy: NHv3c, Similarity Score: 83.02%
Strategy: NM5vtest3, Similarity Score: 83.02%
Strategy: NPv3, Similarity Score: 83.02%
Strategy: NotAnotherSMAOffsetStrategyHOv3_83, Similarity Score: 83.02%
Strategy: ULTIMA, Similarity Score: 83.02%
Strategy: YSX, Similarity Score: 83.02%
Strategy: NotAnotherSMAOffsetStrategyModHOv3, Similarity Score: 79.25%
Strategy: NotAnotherSMAOffsetStrategyModHOv3b, Similarity Score: 79.25%
Strategy: UNHXv2, Similarity Score: 75.47%
last change: 2024-05-16 03:22:45
