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sentiment-analysis

Synthesize fear and greed indices, options data, and social sentiment into market indicators.

Updated Jun 30, 2026
Search Tags:#market analysis#trading#investing#sentiment#quantitative#fear and greed
One-click install
npx skills add https://github.com/0xZKnw/vibe-trading-tap --skill sentiment-analysis-0xzknw
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sentiment-analysis
Source: https://github.com/0xZKnw/vibe-trading-tap/tree/main/agent/src/skills/sentiment-analysis
Command: npx skills add https://github.com/0xZKnw/vibe-trading-tap --skill sentiment-analysis-0xzknw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the challenge of interpreting complex, subjective market signals by converting fear, greed, and social media noise into actionable, quantitative data.

Core Features & Use Cases

  • Multi-Dimensional Analysis: Aggregates data from fear and greed indices, Put-Call ratios, leverage metrics, and foreign capital flows.
  • Social Media Monitoring: Quantifies sentiment trends across platforms like Twitter, Reddit, and financial forums.
  • Use Case: When the market shows extreme greed, use this skill to generate a risk-adjusted position sizing recommendation to protect your portfolio from potential reversals.

Quick Start

Use the sentiment-analysis skill to generate a comprehensive market sentiment report and trading recommendation based on current data.

Frequently Asked Questions about sentiment-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I quantify market sentiment for quantitative trading?▼

You can quantify market sentiment by synthesizing fear and greed indices, options data, leverage metrics, and social media discourse into objective indicators for contrarian decision-making.

What data sources are needed to analyze fear and greed indices?▼

Analyzing fear and greed indices requires integration with financial data APIs to process real-time market metrics, Put-Call ratios, leverage metrics, foreign capital flows, and social sentiment scores.

Can I use social media sentiment to generate trading recommendations?▼

Yes, social media monitoring quantifies sentiment trends across platforms like Twitter and Reddit, which can be aggregated with leverage metrics to generate risk-adjusted position sizing recommendations.

How does market sentiment analysis support contrarian trading strategies?▼

Market sentiment analysis supports contrarian strategies by converting subjective signals like extreme greed into actionable quantitative data, helping you protect your portfolio from potential market reversals.

What are the limitations of using sentiment indicators for investing?▼

Sentiment indicators rely on real-time API integration for metrics like Put-Call ratios and social discourse, meaning analysis is limited by the availability and accuracy of these external financial data feeds.

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