shiyu-coder/Kronos
Kronos: A Foundation Model for the Language of Financial Markets
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README & documentation
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Kronos: A Foundation Model for the Language of Financial Markets Deutsch | Español | Français | 日本語 | 한국어 | Português | Русский | 中文 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: 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 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. Forecasting with Kronos is straightforward using the KronosPredictor class. It handles data preprocessing, normalization, prediction, and inverse normalization, allowing you to get from raw data to forecasts…
Read the full README ↗ · Preview checked 2026-10-29T22:34:22.084Z
Inside the original README — Document outline
- 📰 News
- 📜 Introduction
- ✨ Live Demo
- 📦 Model Zoo
- 🚀 Getting Started
- Installation
- 📈 Making Forecasts
- 1. Load the Tokenizer and Model
- 2. Instantiate the Predictor
- 3. Prepare Input Data
- 4. Generate Forecasts
- 5. Example and Visualization
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What this repository does
Kronos: A Foundation Model for the Language of Financial Markets
Repository facts
- Owner
- shiyu-coder
- Primary language
- Python
- Stars
- 42,588
- Forks
- 7,042
- Open issues + pull requests
- 282
- License
- MIT
- Archived
- No
- Default branch
- master
- Created
- 2025-07-01T02:54:32.000Z
- Last push
- 2026-04-13T12:38:49.000Z
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