Kronos: A Foundation Model for the Language of Financial Markets

Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges.
📰 News
- 🚩 [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!
📜 Introduction
Kronos is a family of decoder-only foundation models, pre-trained specifically for the "language" of financial markets—K-line sequences. Unlike general-purpose TSFMs, Kronos is designed to handle the unique, high-noise characteristics of financial data. It leverages a novel two-stage framework:
- A specialized tokenizer first quantizes continuous, multi-dimensional K-line data (OHLCV) into hierarchical discrete tokens.
- A large, autoregressive Transformer is then pre-trained on these tokens, enabling it to serve as a unified model for diverse quantitative tasks.
✨ Live Demo
We have set up a live demo to visualize Kronos's forecasting results. The webpage showcases a forecast for the BTC/USDT trading pair over the next 24 hours.
📦 Model Zoo
We release a family of pre-trained models with varying capacities to suit different computational and application needs. All models are readily accessible from the Hugging Face Hub.
| Model | Tokenizer | Context length | Params | Open-source |
|---|---|---|---|---|
| Kronos-mini | Kronos-Tokenizer-2k | 2048 |