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Strategy: Hermes_15m_v05_tea
Downloaded: 20231120
Stoploss: -0.99
Uploaded by: smidelis
Private15mFuturesv3Unbiased4X
Strategy failed backtesting!
Reason: Fatal exception!



Not Enough Data to display!

Average Overall
Not Enough Data! / Avg statistics not populated yet.
startup_candle_count : 240
ema_dist_48_30m: 0.025%
zscore_ema_dist_48_30m: 0.004%
ema_dist_mean_30m: 0.009%
zscore_ema_dist_mean_30m: 0.001%
ema50_30m: -0.001%
ema_dist_48_1h: -0.007%
zscore_ema_dist_48_1h: 0.005%
ema_dist_mean_1h: -0.003%
zscore_ema_dist_mean_1h: 0.001%
ema200_1h: 0.565%
ema_trend_long_1h: -100.000%
ema_dist_48_2h: -0.003%
zscore_ema_dist_48_2h: -0.002%
ema_dist_mean_2h: -0.001%
ema200_2h: 0.269%
ema_dist_48_4h: 0.039%
zscore_ema_dist_48_4h: -0.056%
ema_dist_mean_4h: 0.011%
zscore_ema_dist_mean_4h: -0.008%
ema200_4h: -1.492%
adx_diff_dir_4h: 100.000%
ema_dist_48: 0.002%
zscore_ema_dist_48: 0.002%
ema_dist_mean: 0.001%
ema200: -0.079%

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_v05_tea.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): 2d05b3d9437065f606a8cf8b52bd880ee9afc96e9ef5cc0b95ae2eeada5a3d04
indicators:
zscore_ema_dist_6 adx_dif 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 ema_trend_long_4h 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 ema_trend_s

Similar Strategies: (based on used indicators)

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Strategy: Hermes_15m_v02_trend, Similarity Score: 93.18%
Strategy: Hermes_15m_v03, Similarity Score: 93.18%

last change: 2025-05-06 16:49:48