DeepHorus is an innovative tech media and intelligence platform focused on AI, blockchain, startups, and emerging technologies.
Published on

Bitcoin's volatility has plunged, but extreme price swings are more frequent than in 2018

Authors
  • avatar
    Name
    DeepHorus
    Twitter

Bitcoin has recorded 10 three-sigma trading days in 2026, exceeding the eight such days seen during all of 2018, according to a CoinDesk analysis. The finding comes even as the largest cryptocurrency’s annualized volatility has fallen to about 46% from 84% eight years ago. The contrast suggests that bitcoin’s average trading has become calmer, but its tendency to produce sudden, outsized price swings has not disappeared. For investors, this raises questions about how risk is measured in an increasingly institutional crypto market.

Traders use “sigma” to describe how far an asset’s price moves from its typical behavior. CoinDesk compared each day’s price change with bitcoin’s 30-day realized volatility, which measures how much its price usually moved each day over the previous month. Any day that moved at least three times that amount, up or down, was counted as a 3-sigma day. In a normal bell-shaped distribution, about 99.7% of moves fall within three standard deviations, making such days statistically rare. A high count therefore signals that an asset remains prone to sudden jolts.

The data show that bitcoin’s extreme moves have become smaller but more frequent relative to recent volatility. Its 3-sigma moves averaged roughly 7% in 2026, down from about 10% in 2018. Since 2024, bitcoin’s volatility has been about 47%, roughly comparable to Nvidia’s. Yet bitcoin logged 26 three-sigma days in that period, compared with Nvidia’s eight. The S&P 500 had 16 such days, and gold had 12.

This pattern poses a challenge for volatility-based risk models. A widely used metric, value-at-risk, estimates how much a portfolio could lose on a bad day. Some VaR models rely heavily on recent price fluctuations, so a prolonged stretch of calmer trading can make an asset appear less risky. Bitcoin’s declining 30-, 90-, and 180-day volatility measures could encourage investors to increase exposure. However, those models may not fully capture tail risk—the possibility of rare but unusually large losses beyond the estimated threshold.

“Bitcoin still goes through long quiet stretches followed by sharp repricings, and that hasn’t changed,” said Nicolas Quatravaux, head of EMEA at Paradigm, the institutional liquidity network in crypto derivatives. “The market has matured, with more institutions, ETFs and much deeper liquidity, so the average day is calmer. But the shocks haven’t gone away: macro, leverage, positioning.” His comments highlight that structural improvements have not eliminated the forces that can trigger violent moves.

Macroeconomic shocks and crowded derivatives trades can amplify sudden price swings. Deeper liquidity, stronger risk management and greater institutional participation have helped the market absorb them. Still, the frequency of extreme moves suggests that standard risk models may understate bitcoin’s tail risk and encourage overly large portfolio allocations. This tension between calmer averages and recurring shocks is central to bitcoin’s evolving risk profile.

Looking ahead, investors may need to adjust how they measure crypto risk. As bitcoin becomes more integrated into institutional portfolios, reliance on recent volatility alone could prove misleading. A model that accounts for tail risk and the persistence of 3-sigma days may better reflect the asset’s behavior. Bitcoin’s dual character—quieter on average, yet still capable of sharp repricings—is likely to persist.