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TypeError                                 Traceback (most recent call last)
<ipython-input-73-e4852422b760> in <module>()
----> 1 export_to_excel(prices, start_date, end_date, rebalance_frequency, output_file="momentum_strategy.xlsx")

<ipython-input-72-248457d6c1e4> in export_to_excel(prices, start_date, end_date, rebalance_frequency, output_file)
    141     Runs the backtest and exports the results to an Excel file.
    142     """
--> 143     portfolio_df = rebalance_portfolio(prices, start_date, end_date, rebalance_frequency)
    144     portfolio_df.to_excel(output_file, index=False)
    145     print(f"Momentum strategy results saved to {output_file}")

<ipython-input-72-248457d6c1e4> in rebalance_portfolio(prices, start_date, end_date, rebalance_frequency, initial_aum)
    109     for rebalance_date in rebalance_dates:
    110         # Find the nearest trading day on or after the rebalance date
--> 111         rebalance_date = prices.index[prices.index >= rebalance_date].min()
    112 
    113         if pd.isnull(rebalance_date):

~\AppData\Roaming\Python\Python36\site-packages\pandas\core\indexes\base.py in cmp_method(self, other)
    142         else:
    143             with np.errstate(all="ignore"):
--> 144                 result = ops.comparison_op(self._values, np.asarray(other), op)
    145 
    146         if is_bool_dtype(result):

~\AppData\Roaming\Python\Python36\site-packages\pandas\core\ops\array_ops.py in comparison_op(left, right, op)
    249             warnings.simplefilter("ignore", DeprecationWarning)
    250             with np.errstate(all="ignore"):
--> 251                 res_values = na_arithmetic_op(lvalues, rvalues, op, is_cmp=True)
    252 
    253     return res_values

~\AppData\Roaming\Python\Python36\site-packages\pandas\core\ops\array_ops.py in na_arithmetic_op(left, right, op, is_cmp)
    141 
    142     try:
--> 143         result = expressions.evaluate(op, left, right)
    144     except TypeError:
    145         if is_cmp:

~\AppData\Roaming\Python\Python36\site-packages\pandas\core\computation\expressions.py in evaluate(op, a, b, use_numexpr)
    231         use_numexpr = use_numexpr and _bool_arith_check(op_str, a, b)
    232         if use_numexpr:
--> 233             return _evaluate(op, op_str, a, b)  # type: ignore
    234     return _evaluate_standard(op, op_str, a, b)
    235 

~\AppData\Roaming\Python\Python36\site-packages\pandas\core\computation\expressions.py in _evaluate_numexpr(op, op_str, a, b)
    117 
    118     if result is None:
--> 119         result = _evaluate_standard(op, op_str, a, b)
    120 
    121     return result

~\AppData\Roaming\Python\Python36\site-packages\pandas\core\computation\expressions.py in _evaluate_standard(op, op_str, a, b)
     66         _store_test_result(False)
     67     with np.errstate(all="ignore"):
---> 68         return op(a, b)
     69 
     70 

TypeError: '>=' not supported between instances of 'numpy.ndarray' and 'Timestamp'