Bug: ValueError in processor_yahoofinance.df_to_array due to mismatched array lengths

**Describe the bug**
When running the FinRL training pipeline, a ValueError is raised during data preprocessing with Yahoo Finance.
The error occurs in processor_yahoofinance.py when concatenating arrays using numpy.hstack.
It seems that the generated arrays do not share the same time dimension, which causes the concatenation to fail.

**To Reproduce**
Steps to reproduce the behavior:
just run this: python finrl/main.py --mode=train

**Expected behavior**
All arrays (price_array, technical indicators, turbulence/VIX if enabled) should have consistent lengths before concatenation.

`Traceback (most recent call last):
File "/Users/guillaumepoidatz/Documents/GitHub/FinRL/finrl/main.py", line 154, in
raise SystemExit(main())
File "/Users/guillaumepoidatz/Documents/GitHub/FinRL/finrl/main.py", line 73, in main
train(
File "/Users/guillaumepoidatz/Documents/GitHub/FinRL/finrl/train.py", line 36, in train
price_array, tech_array, turbulence_array = dp.df_to_array(data, if_vix)
File "/Users/guillaumepoidatz/Documents/GitHub/FinRL/finrl/meta/data_processor.py", line 80, in df_to_array
price_array, tech_array, turbulence_array = self.processor.df_to_array(
File "/Users/guillaumepoidatz/Documents/GitHub/FinRL/finrl/meta/data_processors/processor_yahoofinance.py", line 513, in df_to_array
price_array = np.hstack(
File "/Users/guillaumepoidatz/Documents/GitHub/FinRL/.venv/lib/python3.10/site-packages/numpy/_core/shape_base.py", line 367, in hstack
return _nx.concatenate(arrs, 1, dtype=dtype, casting=casting)
ValueError: all the input array dimensions except for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 3310 and the array at index 1 has size 2001`

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- OS: MacOS sequoia 15.1
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