Finance1K is a synchronized hourly panel for next-step forecasting across
1,000 US equities. It contains 28,510 chronological observations from 2015 to
early 2026 and provides two aligned targets:
close: hourly close log return, log(close_t / close_t-1);
volume: hourly log-volume change, log(volume_t / volume_t-1).
The two configurations use the same timestamps, ticker order, validity mask,
and chronological split. The first 19,957 rows form the training set and the… See the full description on the dataset page:
https://huggingface.co/datasets/abel-lab/finance1k.
