Crisis Radar

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Monitors macro-economic risks using LLM-assisted news analysis and a deterministic scoring engine to identify sustained pressure points for investment signals.

Crisis Radar is an advanced daily macro risk dashboard designed to track specific investment theses by leveraging LLM-assisted research. It continuously scours the web for news, prices, and reports, extracting structured, cited values to feed a deterministic, configurable scoring engine. This tool meticulously evaluates three key indicator clusters (AI-fund health, fertilizer crisis, and oil proxy), generating a daily risk score and identifying a 'rotation signal' when crisis pressure remains elevated over a sustained period. Its core design emphasizes that LLMs only extract cited values, while all scoring arithmetic is deterministic, ensuring transparency and testability for users making informed decisions.

Key Features

01Deterministic, config-driven scoring engine for macro risk indicators.
020 GitHub stars
03LLM-assisted multi-source news analysis and structured data extraction.
04Emits a sustained 'rotation signal' for prolonged risk pressure, not just daily fluctuations.
05Integration with MCP server for daily triggers and display.
06Tracks three distinct indicator clusters: AI-fund health, fertilizer crisis, and oil proxy.

Use Cases

01Performing daily assessments of macro-economic risk factors.
02Tracking specific macro investment theses with quantitative indicators.
03Generating data-driven signals for potential market rotation based on sustained pressure.