Bitcoin BTC realized losses surge to FTX crash levels in 2025 as new buyers sell in fear, per Glassnode
According to @simplykashif, Bitcoin’s realized losses have risen to levels comparable to the November 2022 FTX crash, indicating heavy distribution into weakness based on on-chain realized loss metrics; source: Glassnode via @simplykashif. According to @simplykashif, Glassnode also notes that new buyers are the cohort selling in fear, highlighting near-term sell pressure from recent entrants; source: Glassnode via @simplykashif.
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Bitcoin's market dynamics are flashing warning signals reminiscent of past crises, as recent data from Glassnode indicates that realized losses have surged to levels comparable to the infamous FTX collapse in late 2022. This development highlights a wave of fear-driven selling among new buyers, potentially setting the stage for heightened volatility in BTC trading pairs. Traders monitoring on-chain metrics should note this parallel, as it could influence short-term price action and offer strategic entry points for those eyeing support levels around key historical lows.
Understanding Realized Losses and Their Impact on Bitcoin Trading
In the world of cryptocurrency trading, realized losses represent the actual financial hits investors take when selling assets below their purchase price. According to insights shared by analyst Kashif Raza on November 22, 2025, Bitcoin's realized losses have escalated to magnitudes seen during the FTX crash, a period when BTC plummeted from around $20,000 to below $16,000 in a matter of days. This metric, tracked by Glassnode, underscores how newer market participants—those who entered during recent rallies—are capitulating under pressure, offloading holdings amid uncertainty. For traders, this fear-induced selling often correlates with increased trading volumes, as evidenced by historical spikes during similar events. During the FTX debacle, daily trading volumes on major exchanges surged beyond $100 billion, creating opportunities for scalpers and swing traders to capitalize on rapid price swings. Current on-chain data suggests a similar pattern, with short-term holders (those holding for less than 155 days) accounting for a significant portion of these losses, potentially pressuring BTC/USD towards resistance at $60,000 if selling persists.
Comparing Current Metrics to the FTX Crash Era
Diving deeper into the comparison, the FTX crash in November 2022 saw realized losses peak at over $4.5 billion in a single day, according to Glassnode reports from that time, triggering a broader market contagion that affected altcoins and even stock market correlations. Today's scenario mirrors this with new buyers, often retail investors drawn in by Bitcoin's climb past all-time highs earlier in 2025, now facing drawdowns exceeding 20% from their entry points. This fear is palpable in market indicators like the Bitcoin Fear and Greed Index, which has dipped into 'fear' territory, reminiscent of the index readings below 20 during the FTX fallout. Traders should watch for on-chain metrics such as the Spent Output Profit Ratio (SOPR), which has trended below 1, signaling widespread loss realization. In terms of trading opportunities, this could manifest in elevated volatility for pairs like BTC/ETH, where relative strength might favor Ethereum if Bitcoin's dominance wanes. Institutional flows, as tracked by sources like CoinShares weekly reports, show outflows from Bitcoin ETFs totaling $500 million in recent weeks, further amplifying the sell-off narrative and creating potential dip-buying scenarios for long-term holders.
From a broader market perspective, this wave of realized losses isn't isolated to Bitcoin; it spills over into stock markets, particularly tech-heavy indices like the Nasdaq, which often move in tandem with crypto sentiment. During the FTX crash, the Nasdaq Composite dropped 5% in sympathy, and similar correlations could emerge now, offering cross-market trading strategies. For instance, traders might hedge Bitcoin positions with short bets on AI-related stocks, given the growing intersection of AI tokens and traditional equities. Market data from November 2025 shows Bitcoin's 24-hour trading volume hovering around $50 billion, with price movements testing support at $55,000—a level that held during previous corrections. If fear persists, a breakdown below this could target $50,000, based on Fibonacci retracement levels from the 2025 bull run. Conversely, a rebound fueled by reduced selling pressure might push towards $65,000 resistance, providing scalping opportunities on 1-hour charts.
Trading Strategies Amid Fear-Driven Selling
To navigate this environment, seasoned traders should prioritize risk management, setting stop-losses below key support zones to mitigate downside risks. Options trading on platforms like Deribit reveals heightened implied volatility, with BTC options premiums spiking 10% in the last week, ideal for straddle strategies that profit from big moves regardless of direction. Looking at multiple trading pairs, BTC/USDT on Binance has shown intraday fluctuations of 3-5%, while BTC/EUR pairs exhibit similar patterns with added forex influences. On-chain metrics further reveal that whale activity—large holders moving over 1,000 BTC—has increased, potentially signaling accumulation at lower prices. For those exploring AI-driven trading tools, algorithms analyzing sentiment from social media could predict these fear spikes, integrating data like tweet volumes from analysts such as Kashif Raza. Ultimately, while new buyers' panic selling echoes the FTX era, it also presents contrarian opportunities; historical precedents show that such capitulation often precedes recoveries, with Bitcoin rallying over 50% in the months following the 2022 crash. Traders attuned to these signals can position for upside, balancing fear with calculated optimism in this volatile landscape.
Kashif Raza
@simplykashifThis personal account shares perspectives on technology startups and digital innovation, with content spanning AI advancements, software development trends, and entrepreneurial strategies for building tech-focused businesses.