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Home/Categories/Finance & Fintech/Kronos
Logo of Kronos

Kronos

Open source alternative to LSEG Workspace, FactSet and Alpha Vantage

Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges.

36.3K starsPythonMITUpdated this year
Visit websiteGitHub repo
Screenshot of Kronos
Contents
  1. 01Who Kronos is for
  2. 02The problem it solves
  3. 03How it solves it
  4. 04Strengths and trade-offs
  5. 05Tech stack
  6. 06FAQ
  7. 07Similar open-source tools
TL;DR

Kronos is an MIT-licensed foundation model project for financial candlestick, or K-line, sequences. It does not replace a full Bloomberg Terminal; it helps quant researchers and financial ML teams experiment with market time-series forecasting and representation learning using open code. The strongest fit is model research, not turnkey trading software.MIT · Python · 36.3K stars · Updated this year

who it's for

Who Kronos is for#

Quant researchers testing market foundation models

Kronos gives researchers a focused starting point for K-line representation and forecasting experiments.

Skip if:

Skip if you need a production portfolio workstation or licensed real-time market data.

Financial ML engineers building prototypes

The codebase can support internal experiments around candles, forecasting, and anomaly detection.

Skip if:

Skip if your team cannot validate model outputs against historical and out-of-sample data.

the problem

The problem it solves#

Financial time-series modeling is difficult because price candles encode noisy, non-stationary behavior across assets, venues, and regimes. General language models are not trained on market K-line sequences, while traditional technical indicators often miss cross-market structure.

Most commercial terminals expose analytics and charting, but they do not give researchers open model internals for candlestick representation learning. Teams building financial ML systems need reproducible code and model artifacts they can inspect before trusting results.

how Kronos solves it

How it solves it#

Candlestick-focused model research

Kronos targets K-line market sequences rather than generic text, making it specific to financial time-series experiments.

Open model codebase

The GitHub project provides code for researchers who need to inspect, adapt, and reproduce the model workflow.

Academic source trail

The project is associated with the Kronos financial markets paper, giving reviewers a primary research source beyond a README.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Focused on a real market-data formatKronos addresses candlestick sequences directly, which is more relevant for quant research than adapting a generic LLM prompt.
  • MIT licenseThe permissive license lowers friction for research and internal experimentation compared with restrictive model licenses.

Trade-offs

  • -Not a terminal replacementKronos does not provide the data feeds, news, execution tools, or compliance workflows of Bloomberg or Refinitiv.
  • -Research validation requiredFinancial model performance can degrade across market regimes, so teams need careful backtesting and risk review before production use.
tech stack · detected from GitHub

What it's built on#

Languages
Python
Frameworks
Flask
frequently asked

FAQ#

What is Kronos?

Kronos is a foundation model project for financial candlestick or K-line data. It is aimed at research and financial ML workflows.

Is Kronos open source?

The GitHub repository lists an MIT license, which is a permissive open source license.

Does Kronos replace Bloomberg Terminal?

No. Kronos can support financial modeling experiments, but it does not replace Bloomberg Terminal data feeds, news, charting, messaging, or compliance tooling.

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Repository

Stars
36.3K
Forks
6K
License
MIT
Last commit
145 days ago
Last verified
Aug 9, 2026
Repo
shiyu-coder/Kronos ↗

Additional details

Language
Python
Open issues
257
Contributors
19
First release
2025

Categories

Finance & FintechAI & Machine LearningData & Analytics

Tags

LLMData VisualizationDeveloper ToolsAI AgentsCodingWorkflow Automation