If you use DataStore.save_stock_data it writes a pickle into results_pkl/ (for example results_pkl/stock_data_261025.pkl). Use the included optimize_pickle.py to convert the stored dicts back into pandas DataFrames and produce a ready-to-use optimized pickle.

Example:

python optimize_pickle.py results_pkl/stock_data_261025.pkl

This will write results_pkl/stock_data_261025_optimized.pkl next to the original. Add --compress to also create a gzipped .pkl.gz file suitable for download.