supply-chain-event-analyst

To map supply chain dependencies and correlate disruptions with price action, use the chain_mapper script to identify a ticker's upstream suppliers and downstream customers, then score the dependency risks against historical event impacts. This generates a structured ecosystem report for stock-level decisions.

Supply chain ecosystem mapping deconstructs a company's upstream suppliers and downstream customers to reveal vulnerabilities to external shocks like raw material price shifts. By correlating these disruptions with historical price action, it exposes financial risks that could impact earnings.

Yes, you can use yfinance alongside WebSearch and FMP to analyze supply chain vulnerabilities for semiconductor and energy stocks. The skill applies sector-specific guidance to map ecosystem dependencies and score risks across Semiconductors, Energy, Industrial, and Chemicals sectors.

To run a supply chain risk analysis for a specific stock ticker, execute the chain_mapper.py script with your target ticker. The tool will use WebSearch and yfinance to map the ecosystem, score dependency risks, and output a structured report to the generated cache.

Dependency risk scoring helps predict earnings impact from customer demand shifts by correlating historical supply chain disruptions with price action. This detects how upstream dependencies and downstream exposures transmit external shocks into ticker-level financial outcomes.