Wordcloud
Strategy: Hermes_15m_v02_trend
Downloaded: 20231117
Stoploss: -0.99
Uploaded by: smidelis


Not Enough Data to display!

Average Overall
Not Enough Data! / Avg statistics not populated yet.
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 1318, in backtest_one_strategy preprocessed = self.strategy.advise_all_indicators(data) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1378, in advise_all_indicators return {pair: self.advise_indicators(pair_data.copy(), {'pair': pair}).copy() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1378, in return {pair: self.advise_indicators(pair_data.copy(), {'pair': pair}).copy() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1407, in advise_indicators dataframe = _create_and_merge_informative_pair( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/informative_decorator.py", line 127, in _create_and_merge_informative_pair inf_dataframe = populate_indicators(strategy, inf_dataframe, inf_metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/Hermes_15m_v02_trend.py", line 183, in populate_indicators_inf dataframe[f'ema_dist_{t}'] = 100 * (dataframe['mid_price'] / pta.ema(dataframe['mid_price'], length=t) - 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 210, in __truediv__ return self._arith_method(other, operator.truediv) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/series.py", line 5819, in _arith_method return base.IndexOpsMixin._arith_method(self, other, op) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/base.py", line 1381, in _arith_method result = ops.arithmetic_op(lvalues, rvalues, op) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/ops/array_ops.py", line 285, in arithmetic_op res_values = _na_arithmetic_op(left, right, op) # type: ignore[arg-type] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/ops/array_ops.py", line 220, in _na_arithmetic_op result = func(left, right) ^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/computation/expressions.py", line 242, in evaluate return _evaluate(op, op_str, a, b) # type: ignore[misc] ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/computation/expressions.py", line 131, in _evaluate_numexpr result = _evaluate_standard(op, op_str, a, b) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/computation/expressions.py", line 73, in _evaluate_standard return op(a, b) ^^^^^^^^ TypeError: unsupported operand type(s) for /: 'float' and 'NoneType'
stoploss: -0.99
timeframe: 15m
hash(sha256): 098c5c7fd6300ad765da80cbae7acec790bb4d02e4bf0b376af2b97cbfe16387
indicators:
zscore_ema_dist_6 adx_dif ema_dist_mean_1h adx_trend_long_1h close
ema_dist_16 eri_dif eri_bull enter_long_prep eri_diff
zscore_ema_dist_t enter_short_prep adx_trend_short_1h zscore_eri_diff_30m ema_dist_48
zscore_eri_diff ema_dist_2 tkeema pPF_2 zscore_ema_dist_2
pSL_1 pSL_2 ema_dist_4 const_2 volume
adx adx_dmp adx_dmn zscore_tke open
eri_bear adx_diff_dir_1h const_3 zscore_ema_dist_4 zscore_ema_dist_mean_30m
zscore_ema_dist_48 ema_dist_t const_0 adx_trend_short high
pHSL leverage eri_bull eri

Similar Strategies: (based on used indicators)

Strategy: Hermes_15m_v03, Similarity Score: 97.78%
Strategy: Hermes_15m_v04_tea, Similarity Score: 95.56%
Strategy: Hermes_15m_v05_tea, Similarity Score: 95.56%

last change: 2025-05-06 15:42:25