market-sentiment-analysis

Synthesize on-chain metrics, derivatives positioning, and social signals into a structured sentiment assessment.

5|Updated May 2, 2026
One-click install
npx skills add https://github.com/nirholas/three-ui --skill market-sentiment-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-sentiment-analysis
Source: https://github.com/nirholas/three-ui/tree/main/data/skills/trading/market-sentiment-analysis
Command: npx skills add https://github.com/nirholas/three-ui --skill market-sentiment-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Market Sentiment Analysis helps you determine whether the crypto market is currently dominated by fear or greed by aggregating on-chain activity, derivatives positioning, and social momentum into a single decision-oriented view.

Core Features & Use Cases

  • Fear/Greed Interpretation: Classifies the current sentiment regime (Extreme Fear → Extreme Greed) and assesses whether it is improving or deteriorating over time.
  • On-Chain Positioning Signals: Evaluates exchange inflows/outflows, whale movement, MVRV, SOPR, active addresses, and stablecoin supply dynamics for accumulation vs distribution.
  • Derivatives Crowding Analysis: Interprets funding rates, open interest behavior, long/short ratios, and liquidation clusters to identify overleveraged long or short crowding.
  • Social Sentiment & Contrarian Read: Detects euphoric vs capitulation-like conditions from social volume, weighted sentiment, influencer consensus, and search/community activity to suggest what the crowd may be wrong about.

Quick Start

Use the market-sentiment-analysis skill to assess the current sentiment for BTC/ETH by combining fear/greed, on-chain accumulation/distribution, derivatives crowding, and social buzz, then summarize the actionable contrarian insight with confidence.

Frequently Asked Questions about market-sentiment-analysis

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

FAQPage Schema
How do I assess crypto market sentiment using on-chain and derivatives data?

To assess crypto market sentiment, you synthesize on-chain metrics like exchange flows and MVRV with derivatives positioning and social signals to classify the current fear or greed regime and identify actionable buy or sell opportunities.

What do funding rates and open interest indicate about market sentiment?

Funding rates and open interest indicate derivatives crowding, helping you identify overleveraged long or short positioning to determine if market sentiment is skewed toward euphoria or capitulation.

How can I use social signals for contrarian trading in crypto?

You use social signals for contrarian trading by detecting euphoric or capitulation-like conditions from social volume and influencer consensus, suggesting what the crowd may be wrong about and generating a contrarian buy or sell read.

Can I evaluate broad crypto market sentiment or is it only for specific tokens?

You can evaluate both broad crypto market sentiment and specific tokens, applying fear/greed interpretation, on-chain accumulation versus distribution analysis, and derivatives crowding heuristics to either scope.

What is the role of MVRV and SOPR in determining market sentiment?

MVRV and SOPR act as on-chain positioning signals that evaluate whether holders are in profit, helping determine if market sentiment reflects accumulation or distribution dynamics for a specific token.

When should I not rely on social sentiment for crypto market analysis?

You should not rely solely on social sentiment when on-chain metrics and derivatives positioning show conflicting trends, as isolated social buzz without exchange flow or funding rate context may produce false contrarian signals.