Fear & Greed Index

What is the Fear & Greed Index?

The Fear & Greed Index is a composite sentiment gauge that compresses several market-based inputs into a single 0 to 100 reading, where low values label extreme fear and high values extreme greed. The best-known equity version, published by CNN Business, averages seven components: index momentum versus a 125-day average, 52-week highs versus lows, breadth of up versus down volume, the put/call ratio, junk-bond demand via credit spreads, the VIX relative to its recent average, and the relative performance of stocks versus bonds. Popular crypto variants weight volatility, momentum and volume, social activity, market dominance, and search trends instead.

The format has spread well beyond its origin. CNN's gauge, running since the early 2010s, made the 0 to 100 emotional dial a fixture of market commentary, and the crypto adaptation published by Alternative.me since 2018 became the reference version for that market. The branding is the point: each is an editorial compression of measurable crowd behavior into one number cheap to glance at and easy to over-trust.

The intended read is contrarian at the extremes: crowds tend to be most fearful near lows and most greedy near highs. The honest caveat is that extremes can persist. Markets can sit in extreme greed through long uptrends and in extreme fear through extended declines, and the component choices and weights are editorial decisions, not laws. It works better as a regime dial than as a trigger.

Because it is a composite, the reading is only as meaningful as its ingredients that session. A greed print driven by narrow index momentum while advance/decline internals deteriorate is a different animal from one confirmed by broad participation, which is why practitioners check the components and the market's own internals, breadth gauges such as the share of stocks above their moving averages, before treating the headline number as information.

How to read the Fear & Greed Index

The gauge is published rather than computed from your chart, so reading it is about interpretation discipline.

1. 1Note the level against the published bands: the scale runs 0 to 100 with labeled zones from extreme fear through neutral to extreme greed.
2. 2Track the direction and speed of change: a fast collapse from greed toward fear often says more about conditions shifting than any static level does.
3. 3Open the components: identify which inputs drive the current reading, since a one-input extreme reads differently from a unanimous one.
4. 4Cross-check against the market's own internals, breadth, volatility, and implied volatility measures, to see whether the composite agrees with what participation shows.
5. 5Log extremes rather than trading them: note the reading, then require price structure (a tradable low, a failing rally) to convert sentiment context into a position.

How it's calculated

CNN's composite sentiment gauge averaging seven US equity market indicators into a score from 0 (extreme fear) to 100 (extreme greed).

Inverted components are flipped in scoring so that their fear-side readings map toward 0.

CNN does not publish each component's exact rescaling, so third-party reconstructions differ slightly.

Crypto Fear & Greed indexes (e.g. alternative.me) use different inputs and weights and are separate gauges.

How traders use it

• As contrarian context: extreme-fear readings during a decline prompt traders to start looking for bottoming structure, while extreme greed argues for tightening risk on longs rather than adding.
• As a position-sizing damper: some discretionary traders reduce new-trade size when the gauge sits at an extreme aligned with their trade direction, since crowded moves can unwind sharply.
• As a divergence check: price grinding to new highs while the index cools from extreme greed suggests the advance is losing emotional fuel, worth cross-checking against breadth measures like new highs − new lows.
• As one panel in a cross-asset dashboard: sentiment extremes gain or lose credibility next to intermarket reads, and in crypto next to cycle models and on-chain valuation context, which anchor the daily mood in slower structure.
• As a study input: because historical readings are published, the index can be backtested against forward returns on your market and horizon, which is the honest way to decide how much weight an extreme deserves.

Fear & Greed Index vs other sentiment reads