claude-equity-research
Enables structured equity analysis at scale with systematic fundamental and technical evaluation, reducing time spent on research synthesis while improving c…
🔌 Claude Code Plugin for institutional-grade equity research. Install with /plugin marketplace add. Generates professional buy/sell recommendations with comprehensive fundamental analysis, technical indicators, and risk assessment. Educational use only - not financial advice.
- Generate detailed buy or sell recommendations with fundamental analysis for stock evaluation
- Analyze technical indicators and price patterns to support equity research decisions
- Create comprehensive risk assessment reports for investment portfolio review
Enables structured equity analysis at scale with systematic fundamental and technical evaluation, reducing time spent on research synthesis while improving consistency of investment theses.
Investment teams and quantitative analysts performing institutional equity research and portfolio evaluation.
https://github.com/quant-sentiment-ai/claude-equity-research
By quant-sentiment-ai
How to Get It
claude plugins install quant-sentiment-ai/claude-equity-research
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate detailed buy or sell recommendations with fundamental analysis for stock evaluation
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 708 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 708 GitHub stars; contributors unknown; last commit 0d ago; license MIT.