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senanurcetin/gs-quant-risk

sourceHugging Faceapache-2.0updated 5d agoView on Hugging Face
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App README

GS Quant Risk: live demo

The risk analytics dashboard built on GS Quant, exported as one page that runs in the browser without a server. It shows value at risk, expected shortfall and model validation for three simulated scenarios (calm market, volatile market, regime shift), in English and Turkish.

Every result was calculated in advance by the Python code (gs_quant.timeseries.risk_metrics) and is embedded in the page. It uses simulated data only and stores nothing; uploading your own prices or portfolio needs the server.

Run the full application

bash
docker run -p 8000:8000 -e RISK_APP_API_TOKEN=<16 or more characters> -v risk-data:/data \
  ghcr.io/senanurcetin/gs-quant-risk:latest

or pip install "gs-quant[app]" and gs-quant-risk serve. Source, documentation and deployment files: https://github.com/senanurcetin/gs-quant