Sentiment
Analyze market sentiment including insider trades, institutional ownership, and social signals. Use when gauging market psychology or smart money movements.
Install
$ agentstack add skill-ancs21-ai-sub-invest-sentiment ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Sentiment Analysis
Overview
Analyze market sentiment through insider activity and institutional signals.
Analysis Process
Run Sentiment Analysis
python .claude/skills/sentiment/scripts/analyze.py {TICKER} {END_DATE}Signals Analyzed
Insider Activity
- Recent buy/sell transactions
- Net insider position changes
- Executive trading patterns
Fundamental Sentiment
- Valuation sentiment (P/E, P/B levels)
- Growth expectations
- Quality metrics
Key Indicators
- Insider buying = Bullish signal
- Heavy insider selling = Bearish signal
- Low valuation + quality = Positive sentiment
Signal Interpretation
- Bullish: Net insider buying, undervaluation signals
- Neutral: Mixed or no significant activity
- Bearish: Heavy insider selling, overvaluation signals
Example
Analyze AAPL as of 2024-12-01 for sentiment signals.Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ancs21
- Source: ancs21/ai-sub-invest
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.