The Fear & Greed Index fell to 13 on June 25, 2026. Bitcoin and Ethereum liquidations totaled roughly $1.4 billion in the same 24-hour session. Both numbers reflect the same condition: forced selling across an overcrowded long book.
What does a Fear & Greed Index reading of 13 mean for crypto markets?
The index runs from 0 (maximum fear) to 100 (maximum greed), drawing on price momentum, trading volume, social signals, and volatility. A reading of 13 sits deep in Extreme Fear territory. Historical patterns show these levels coincide with forced selling and capitulation events. They do not reliably mark bottoms, but they do mark the stretch where leveraged long positions face margin calls at scale.
How large were Bitcoin liquidations on June 25, 2026?
Bitcoin liquidations totaled $413 million across the 24-hour session. Long positions accounted for $319.4 million of that; shorts added $93.42 million. The skew toward longs reflects the price direction: traders who bought expecting continuation ran out of margin. The largest single liquidation was a $38.05 million BTC-USD position cleared on Hyperliquid.
How did Ethereum liquidations compare to Bitcoin?
Ethereum liquidations came in at approximately $226 million for the same 24-hour window. Combined with Bitcoin, total liquidations across the two assets approached $1.4 billion for the session. The ETH breakdown showed less lopsided positioning than BTC, but the aggregate pressure tells the same story: overcrowded positioning met a falling market.
What mechanics drive a crypto liquidation cascade?
Liquidation cascades start with an initial price drop that pushes leveraged long positions below maintenance margin. Forced selling adds more downward pressure, triggering the next tier of stops. With the Fear & Greed Index already at 13 heading into June 25, the market had been shedding leverage for several sessions, leaving thinner order books and wider spreads. That combination amplified the forced selling.
How can traders monitor live liquidation data?
Real-time liquidation tracking captures exchange-level data across Binance, Hyperliquid, and OKX simultaneously. Aggregated 24-hour figures lag by design; intraday alerts catch the cascade while it is building, not after. Most professional dashboards pair liquidation data with funding rates to give context on directional positioning before prices move.
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