the-sentiment-analyst

Generates crypto market sentiment scores and trend analysis from blockchain data.

13|3|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/cubexch/ai-fund --skill the-sentiment-analyst
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: the-sentiment-analyst
Source: https://github.com/cubexch/ai-fund/tree/main/skills/sentiment-analyst
Command: npx skills add https://github.com/cubexch/ai-fund --skill the-sentiment-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Sentiment Analyst helps traders quantify market sentiment by aggregating funding rates, open interest, volume, and momentum to identify contrarian opportunities.

Core Features & Use Cases

  • Analyze funding rate trends across perpetual markets to flag extremes.
  • Track open interest changes and correlate with price movement.
  • Calculate implied long/short ratios and construct fear/greed scores.
  • Detect crowded trades and potential liquidation risk.

Quick Start

Ask it to generate a current fear/greed score for a given market and timeframe.

Frequently Asked Questions about the-sentiment-analyst

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

FAQPage Schema
How do I calculate a fear and greed score for crypto perpetual markets?

To calculate a fear and greed score, aggregate funding rates, open interest, volume, and momentum across perpetual and spot markets. This produces a contrarian signal that quantifies market sentiment and identifies crowded trades for real-time desk decisions.

How do I generate a current market sentiment signal for a specific asset?

Generating a current sentiment signal requires analyzing funding rates, open interest, volume, and momentum for your specified asset and timeframe. The analysis outputs a fear/greed score and supporting observations that highlight contrarian opportunities across connected exchanges.

Can I analyze funding rate trends across multiple assets and timeframes?

Yes, you can analyze funding rate trends across multiple assets and timeframes for real-time desk decisions and research. The analysis applies to both perpetual and spot markets on connected exchanges to produce contrarian signals.

What is the best way to identify liquidation risk using open interest and funding rates?

The best way to identify liquidation risk is by aggregating funding rates and tracking open interest changes to detect crowded trades. When these metrics correlate with price movement extremes, the analysis flags potential liquidation risk and contrarian opportunities.