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Fear & Greed Index

Definition

Fear & Greed Index — A composite sentiment indicator that measures market emotion on a scale from 0 (Extreme Fear) to 100 (Extreme Greed), used as a contrarian signal.

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What Is the Fear & Greed Index?

The Fear & Greed Index is a daily composite metric that gauges the overall emotional state of the crypto market. It ranges from 0 (Extreme Fear — investors are very worried) to 100 (Extreme Greed — investors are very bullish). The index aggregates multiple data sources including volatility, market momentum, social media, surveys, dominance, and trends.

How the Fear & Greed Index Works

The index weighs several components:

  • Volatility (25%) — Unusual volatility = fear
  • Market momentum/volume (25%) — High buying volume = greed
  • Social media (15%) — Sentiment and engagement metrics
  • Surveys (15%) — Polling data from market participants
  • Bitcoin dominance (10%) — Rising dominance = fear (flight to safety)
  • Google Trends (10%) — Search interest for crypto terms

Why It Matters for Traders

The index is primarily used as a contrarian indicator. Warren Buffett's famous "be fearful when others are greedy, and greedy when others are fearful" applies directly. Extreme Fear readings (below 20) have historically aligned with market bottoms, while Extreme Greed readings (above 80) often precede corrections.

How Perps Traders Use This

For CEX perpetual futures, treat fear & greed index as context around entries, exits, and risk, not as a standalone signal. Pair it with funding, open interest, and liquidation heat so one indicator does not drive the whole book.

Formula and Worked Example

Example numbers only (not a live quote).

If your account equity is $10,000 and you risk 0.5% per idea, the cash risk budget is $50. With a stop 1% away from entry on a linear USDT-margined perp, notional size is about $5,000 before leverage optics. Size from stop distance first, then pick leverage that fits the margin mode.

Common Mistakes

  • Treating a single print of fear & greed index as a trade signal without checking funding, open interest, and your liquidation price.
  • Mixing venue conventions (coin-margined vs USDT-margined, cross vs isolated) and reading the wrong mark.
  • Copying example numbers from a glossary into live size without checking the current book depth and fee schedule.
  • Ignoring related terms that change the meaning of the print on a given day.

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