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 1410, in advise_indicators
return self.populate_indicators(dataframe, metadata)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/freqtrade/user_data/strategies/TestPair.py", line 88, in populate_indicators
informative["hedge_ratio"] = informative["close"].rolling(ols_window).apply(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 2043, in apply
return super().apply(
^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 1503, in apply
return self._apply(
^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 617, in _apply
return self._apply_blockwise(homogeneous_func, name, numeric_only)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 470, in _apply_blockwise
return self._apply_series(homogeneous_func, name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 454, in _apply_series
result = homogeneous_func(values)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 612, in homogeneous_func
result = calc(values)
^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 609, in calc
return func(x, start, end, min_periods, *numba_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/window/rolling.py", line 1530, in apply_func
return window_func(values, begin, end, min_periods)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "aggregations.pyx", line 1423, in pandas._libs.window.aggregations.roll_apply
File "/freqtrade/user_data/strategies/TestPair.py", line 89, in
lambda x: np.polyfit(x, informative["close_counter"].iloc[x.index], 1)[0], raw=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/numpy/lib/polynomial.py", line 669, in polyfit
c, resids, rank, s = lstsq(lhs, rhs, rcond)
^^^^^^^^^^^^^^^^^^^^^^
File "/home/ftuser/.local/lib/python3.11/site-packages/numpy/linalg/linalg.py", line 2326, in lstsq
x, resids, rank, s = gufunc(a, b, rcond, signature=signature, extobj=extobj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
numpy.core._exceptions._UFuncInputCastingError: Cannot cast ufunc 'lstsq_n' input 1 from dtype('O') to dtype('float64') with casting rule 'same_kind'
