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Crypto Fear & Greed Index

A 0–100 gauge of crypto market sentiment, where low = fear and high = greed.

The Crypto Fear & Greed Index aggregates volatility, momentum, social media, and survey signals into a single 0–100 score. Readings under 25 are labelled “Extreme Fear” (widespread selling and caution) and over 75 “Extreme Greed” (euphoria). It is a contrarian-leaning mood gauge, not a price predictor — historically, extreme fear has sometimes preceded rebounds. The Oracle reads it each hour as one of several world-event signals and may, within hard caps, widen its forecast band when sentiment is extreme.

Recent readings

59/100
latest · Oct 19, 12:00 AM UTC

Fear & Greed 59/100 (Greed), +6 vs prior reading

ObservedValueReading
Oct 19, 12:00 AM UTC59/100Fear & Greed 59/100 (Greed), +6 vs prior reading
Oct 19, 12:00 AM UTC59/100Fear & Greed 59/100 (Greed), +6 vs prior reading
Oct 19, 12:00 AM UTC59/100Fear & Greed 59/100 (Greed), +6 vs prior reading
Oct 18, 12:00 AM UTC53/100Fear & Greed 53/100 (Neutral), -2 vs prior reading
Oct 18, 12:00 AM UTC53/100Fear & Greed 53/100 (Neutral), -2 vs prior reading
Oct 18, 12:00 AM UTC53/100Fear & Greed 53/100 (Neutral), -2 vs prior reading
Oct 18, 12:00 AM UTC53/100Fear & Greed 53/100 (Neutral), -2 vs prior reading
Oct 18, 12:00 AM UTC53/100Fear & Greed 53/100 (Neutral), -2 vs prior reading
Oct 18, 12:00 AM UTC53/100Fear & Greed 53/100 (Neutral), -2 vs prior reading
Oct 18, 12:00 AM UTC53/100Fear & Greed 53/100 (Neutral), -2 vs prior reading
Oct 17, 12:00 AM UTC55/100Fear & Greed 55/100 (Greed), -8 vs prior reading
Oct 17, 12:00 AM UTC55/100Fear & Greed 55/100 (Greed), -8 vs prior reading
Oct 17, 12:00 AM UTC55/100Fear & Greed 55/100 (Greed), -8 vs prior reading
Oct 17, 12:00 AM UTC55/100Fear & Greed 55/100 (Greed), -8 vs prior reading

How the Oracle uses it

This is one signal among several, never a directional call on its own. The forecast starts as plain math (a GJR-GARCH volatility model); the signal is read each hour as context, and Claude may make small, hard-capped adjustments to the range and confidence — it can't swing the guess wildly. Every forecast is then scored openly against a random-walk benchmark, so you can judge the result rather than trust it. See the accuracy record and the full methodology.

The other signals

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