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KR

shiyu-coder/Kronos

Kronos: A Foundation Model for the Language of Financial Markets

37k Stars6.1k Forks259 Open Issues37k WatchersPythonMIT
AutomationData ToolUI Framework
Review Readiness

This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.

70

review score

Needs original analysis
Decision Snapshot

Problem solved

Kronos addresses the challenge of modeling the unique, high-noise characteristics of financial K-line data, providing a unified foundation model for tasks like forecasting and other quantitative analyses across multiple exchanges.

Deployment reality

The available setup signal starts with: pip install -r requirements.txt. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.

Commercial use

The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.

Capability ceiling

shiyu-coder/Kronos still needs a clearer capability analysis. Use the metadata as a discovery signal, not as a production recommendation.

Source and compliance noteLast synced: Aug 13, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

shiyu-coder/Kronos is tracked as a Python project in the Automation, Data Tool, UI Framework area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 37k total stars, with +266 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Inactive; the latest push was 184 days ago, and the open issue queue is 259, about 0.70% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 6.1k forks and 37k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need Python teams evaluating ecosystem-native tooling. Be cautious when you require frequent releases or active maintenance.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 266. Follow the original GitHub repository for final install, security, and release information.

Evidence Checklist

Analysis

Limited

Needs stronger original analysis before indexing.

Sources

Ready

Repository metadata and README/source references are attached.

License

Ready

MIT is recorded for review.

Maintenance

Ready

Recent activity is visible in repository metadata.

Alternatives

Ready

Enough nearby projects exist for comparison.

Best For
  • Python teams evaluating ecosystem-native tooling
  • teams that prefer mature projects with broad adoption signals
Avoid When
  • you require frequent releases or active maintenance
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

37k Stars

Reuse

6.1k Forks

Attention

37k Watchers

Maintenance

inactive

License

MIT

Open issues

259

Overview

Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. It uses a two-stage framework with a specialized tokenizer and autoregressive Transformer to handle high-noise financial data for diverse quantitative tasks.

Key Features

- Specialized tokenizer quantizes multi-dimensional OHLCV data into hierarchical discrete tokens. - Decoder-only Transformer pre-trained on tokens from 45+ global exchanges. - Supports forecasting and fine-tuning for various quantitative tasks with a simple API.

Tool Positioning

Automation

Workflow automation, integration glue, and orchestration

Data Tool

Databases, data pipelines, ETL, analytics, and vector search

UI Framework

Frontend frameworks, design systems, and interface libraries

Quick Start
pip install -r requirements.txt
View on GitHub
Project Activity

80

Health Score

Inactive

Commit Activity

Jul 1, 2025

Created

Apr 13, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

Star history will appear after daily syncs accumulate data.

Community Health
6.1k

Forks

259

Open

37k

Watchers

Owner
KR

shiyu-coder

GitHub profile
Topics & Language
Python
Ecosystem & Usage
GitHub Repository
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Last syncedAug 13, 2026
Repository Standards

✓

License

✓

Forked

✗ Inactive

Maintained