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market-sentiment

Combine fear-and-greed, Put-Call Ratio, leverage, flow, and social signals into a 0-100 sentiment score.

Updated Apr 14, 2026
Search Tags:#market sentiment#fear and greed#social media analytics#northbound capital#put-call ratio#margin trading signals#contrarian indicators
One-click install
npx skills add https://github.com/loanntc/Paave --skill market-sentiment-loanntc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: market-sentiment
Source: https://github.com/loanntc/Paave/tree/main/skills/sentiment-analysis
Command: npx skills add https://github.com/loanntc/Paave --skill market-sentiment-loanntc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It converts hard-to-measure investor psychology into actionable, quantitative market sentiment signals across multiple data sources, helping you avoid making decisions purely on noise or intuition.

Core Features & Use Cases

  • Fear & Greed Index framework: Builds a 0-100 sentiment scale using crypto fear/greed components and A-share proxy indicators (turnover, limit-up/down counts, new accounts, margin changes, ETF flows).
  • Options positioning via Put-Call Ratio (PCR): Interprets PCR as a contrarian indicator to gauge extreme bullish/bearish positioning across markets (US, A-share proxy, crypto).
  • Leverage and flow signals: Assesses A-share margin financing/funding and northbound capital flows, mapping them to buy/avoid/trim guidance.
  • Social media sentiment quantification: Translates social chatter into heat, polarity, intensity, and momentum with contrarian interpretations for “top vs bottom” cycles.
  • Composite scoring & portfolio mapping: Produces a combined score from five sub-indices and maps it to a practical position-sizing recommendation.

Quick Start

Ask to generate a market sentiment score using crypto fear/greed (0-100), PCR, A-share margin and northbound flow proxies, and social sentiment inputs, then summarize the contrarian interpretation and recommended exposure level.

Frequently Asked Questions about market-sentiment

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

FAQPage Schema
How do I quantify market sentiment using fear and greed indicators and put-call ratio data?▼

To quantify market sentiment, you combine fear and greed indicators, options put-call ratio, leverage signals, and social media chatter into a standardized 0-100 composite score. This interpretable score maps directly to a practical portfolio exposure recommendation.

Can I use social media sentiment as a contrarian indicator for crypto and A-share trading?▼

Yes, social media sentiment can be used as a contrarian indicator for crypto and A-share trading. The process translates social chatter into heat, polarity, intensity, and momentum metrics to identify extreme bullish or bearish positioning for top and bottom cycle decisions.

What is the best way to map market sentiment scores to portfolio position sizing?▼

The best way to map market sentiment scores to position sizing is by generating a composite score from five sub-indices including fear, greed, PCR, and leverage signals. This composite score directly translates to a recommended exposure level.

Does the put-call ratio work as a contrarian indicator across US, A-share, and crypto markets?▼

The put-call ratio works as a contrarian indicator across US, A-share proxy, and crypto markets. It interprets extreme bullish or bearish options positioning to gauge potential market reversals.

How do A-share margin financing and northbound capital flows indicate market mood?▼

A-share margin financing and northbound capital flows indicate market mood by assessing leverage and flow signals. These metrics map directly to buy, avoid, or trim guidance for contrarian decision support.

When should I not rely on a composite market sentiment score for trading decisions?▼

You should not rely solely on a composite market sentiment score when underlying data sources are fragmented or lack standardized 0-100 sub-metrics. It is designed for contrarian decision support, not as a standalone automated execution trigger.

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