NeoQuasar/Kronos-Tokenizer-base
time-series-forecasting model by NeoQuasar
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Model card & documentation
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[](https://arxiv.org/abs/2508.02739) [](https://shiyu-coder.github.io/Kronos-demo/) [](https://github.com/shiyu-coder/Kronos) Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. It is designed to handle the unique, high-noise characteristics of financial data. Kronos is a family of decoder-only foundation models, pre-trained specifically for the "language" of financial markets—K-line sequences. It leverages a novel two-stage framework: The success of large-scale pre-training paradigm, exemplified by Large Language Models (LLMs), has inspired the development of Time Series Foundation Models (TSFMs). Kronos addresses existing limitations by introducing a specialized tokenizer that discretizes continuous market information into token sequences, preserving both price dynamics and trade activity patterns. We pre-train Kronos using an autoregressive objective on a massive, multi-market corpus of over 12 billion K-line records from 45 global exchanges, enabling it to learn nuanced temporal and cross-asset representations. Kronos excels in a zero-shot setting across a diverse set of financial tasks, including price…
Read the full model card ↗ · Preview checked 2026-11-09T06:55:52.163Z
Inside the original model card — Document outline
- Kronos: A Foundation Model for the Language of Financial Markets
- Introduction
- Live Demo
- Model Zoo
- Getting Started: Making Forecasts
- Installation
- 1. Load the Tokenizer and Model
- 2. Instantiate the Predictor
- 3. Prepare Input Data
- 4. Generate Forecasts
- 5. Example and Visualization
- 🔧 Finetuning on Your Own Data (A-Share Market Example)
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Model overview
NeoQuasar/Kronos-Tokenizer-base is a time-series-forecasting model repository published by NeoQuasar on Hugging Face. The source reports the pytorch library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- time-series-forecasting
- Library
- pytorch
- Recent downloads (30 days)
- 3,809,948
- Cumulative likes
- 119
- Hugging Face trending score
- 3
- Reported safetensors parameters
- 3,958,258
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2025-06-30T16:55:43.000Z
- Last modified
- 2025-09-09T14:10:02.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-09T06:54:48.197Z. Daily imports are snapshots, not real-time monitoring.
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