•🚩 [2025.11.10] Kronos has been accpeted by AAAI 2026.
•🚩 [2025.08.17] We have released the scripts for fine-tuning! Check them out to adapt Kronos to your own tasks.
•🚩 [2025.08.02] Our paper is now available on arXiv!
•df: A pandas DataFrame containing the historical K-line data. It must include columns ['open', 'high', 'low', 'close']. volume and amount are optional.
•x_timestamp: A pandas Series of timestamps corresponding to the historical data in df.
•y_timestamp: A pandas Series of timestamps for the future periods you want to predict.
•All series must have the same historical length (lookback window)
•All series must have the same prediction length (pred_len)
•Each DataFrame must contain the required columns: ['open', 'high', 'low', 'close']
•volume and amount columns are optional and will be filled with zeros if missing