Identify M&A targets from market signals and output strict JSON.
npx skills add https://github.com/Eveyz/agentskills --skill mna-radar
Please help me install this Agent Skill. Skill: mna-radar Source: https://github.com/Eveyz/agentskills/tree/main/mna-radar Command: npx skills add https://github.com/Eveyz/agentskills --skill mna-radar
Identify likely acquisition targets, connect each target to a plausible buyer, estimate a realistic premium range from comparable deal behavior, and return strict JSON grounded in current sources.
Query live market signals and filings to generate a strict JSON radar of targets, buyers, premiums, regulatory risk, and sources.
High-intent search queries and answers about installing and using this skill.
To identify likely M&A targets, filter fresh market news, activist activity, and industry consolidation trends. This process generates prioritized target lists by validating current signals against primary filings before inclusion.
Mapping plausible buyers to acquisition targets involves connecting each target to a likely acquirer. The output provides buyer-target pairing with rationale and market context based on current industry consolidation trends.
You can estimate realistic acquisition premiums by analyzing comparable deal behavior from SEC filings and market data. This approach grounds premium range estimations in historical transaction data and current financial news.
Generating event-driven M&A ideas requires screening fresh primary filings and credible sources. This validates each target before inclusion, outputting structured watchlists containing targets, buyers, and regulatory risk assessments.
This M&A target screening enforces a strict three source policy using yfinance market data, alphavantage api, and tavily search. This ensures all identified targets, buyers, and premiums are grounded in current verifiable sources.
The merger-arbitrage radar outputs strict JSON following a designated schema. This structured format contains targets, buyer, premium, thesis, regulatory risk, and sources for direct integration into event-driven workflows.
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