Team: @codeglitch
Submitted: 17/03/2026
Answer Capsule
RegimeIQ is a real-time risk detection system built on Pyth Network data. Instead of analyzing price movements, it monitors oracle microstructure, confidence intervals and update cadence, to detect stress in the data layer itself. This provides early signals of market instability before traditional volatility-based indicators react.
What It Does
RegimeIQ detects market stress by analyzing the behavior of oracle feeds rather than price alone. It classifies regimes (CALM → TRANSITION → DISLOCATION → BREAKDOWN) using confidence dispersion and update irregularity, enabling deterministic risk signals for trading systems and agents.
Pyth Features Used
Price Feeds (off-chain via Hermes / SSE)
Entropy- Both
Links
- Live Demo: https://dashboard.regimeiq.app/
- Source Code: https://github.com/CodeGlitch/RegimeIQ-Core
- Video Walkthrough: N/A
Screenshots / Media
Tech Stack
- Framework/Language: Python (backend), HTML/CSS/JS dashboard, Postgres
- Blockchain: N/A
- Agent Framework: N/A
- Deployment: VPS (systemd services + Nginx)
Content Contributions
- Public Post: Stop Looking at Price — Using Oracle Data to Detect Market Stress - DEV Community
- Public Post: Reddit - The heart of the internet
- Technical Contribution: N/A
- Bonus — X Post: https://x.com/codeglitch/status/2033944955190706537?s=20
- Bonus — Wikipedia: N/A
Licensing
This project is licensed under Apache 2.0.
Eligibility Confirmation
- I am 18+ years old
- I am not located in an OFAC-sanctioned jurisdiction
- I confirm this is original work created during the hackathon
- I agree to the Terms & Conditions