The Crypto Fear & Greed Index, published by Alternative.me, is a single number from 0 to 100 that attempts to summarise market sentiment. A reading below 25 indicates extreme fear; above 75, extreme greed.

The phrase "be greedy when others are fearful" is frequently quoted alongside this index. Whether that principle translates cleanly to crypto is worth examining carefully.

What goes into the index

The calculation uses six factors. Volatility (25% weight) measures current Bitcoin volatility compared to 30-day and 90-day averages — higher volatility means more fear. Market momentum and volume (25%) compares current Bitcoin trading volume to 30-day and 90-day averages combined with price momentum. Social media (15%) measures engagement rate on crypto-related posts. Surveys (15%) are weekly online polls, currently excluded from most calculations. Bitcoin dominance (10%) is interpreted as rising dominance indicating fear (flight to safety) and falling dominance indicating greed (speculative interest). Google Trends (10%) tracks search terms like "Bitcoin price manipulation" (fear) versus "how to buy Bitcoin" (greed).

What the number actually measures

These inputs produce a sentiment reading that correlates reasonably well with market psychology. What it does not do is predict what the market will do next. A greed reading of 85 does not mean the market will correct tomorrow. Markets can sustain extreme greed for weeks. Similarly, extreme fear can persist through prolonged bear markets.

When is it genuinely useful?

The index is most actionable at extremes. Extreme fear below 20 has historically been associated with bottoms or near-bottom periods in Bitcoin cycles — this is when systematic DCA strategies accumulate. Extreme greed above 85 has historically been associated with local tops, where risk management becomes more important.

For everything in the 25–75 range, the index provides limited signal.

What to avoid

Do not use the Fear & Greed Index as your sole reason to buy or sell. It is a derivative indicator that measures what other people are feeling, which is itself influenced by price. It is more useful as one data point in a broader framework. When extreme fear coincides with oversold RSI, low exchange inflows, and low NVT, the convergence of multiple independent signals has more weight than any single one.