shiyu-coder/Kronos

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Kronos: A Foundation Model for the Language of Financial Markets

Kronos: A Foundation Model for the Language of Financial Markets

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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:

  1. A specialized tokenizer first quantizes continuous, multi-dimensional K-line data (OHLCV) into hierarchical discrete tokens.
  2. 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.

👉 Access the Live Demo Here

📦 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 4.1M NeoQuasar/Kronos-mini
Kronos-small Kronos-Tokenizer-base 512 24.7M NeoQuasar/Kronos-small
Kronos-base Kronos-Tokenizer-base 512 102.3M NeoQuasar/Kronos-base
Kronos-large Kronos-Tokenizer-base 512 499.2M

🚀 Getting Started

Installation

  1. Install Python 3.10+, and…
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