Open source alternative to LSEG Workspace (formerly Refinitiv Eikon), FactSet and Alpha Vantage
Last verified
Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges.
Kronos gives researchers a focused starting point for K-line representation and forecasting experiments.
Skip if you need a production portfolio workstation or licensed real-time market data.
The codebase can support internal experiments around candles, forecasting, and anomaly detection.
Skip if your team cannot validate model outputs against historical and out-of-sample data.
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.
Kronos targets K-line market sequences rather than generic text, making it specific to financial time-series experiments.
The GitHub project provides code for researchers who need to inspect, adapt, and reproduce the model workflow.
The project is associated with the Kronos financial markets paper, giving reviewers a primary research source beyond a README.
Kronos is a foundation model project for financial candlestick or K-line data. It is aimed at research and financial ML workflows.
The GitHub repository lists an MIT license, which is a permissive open source license.
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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