Is Bitcoin’s Calm Misleading? Unusual Price Moves Are More Frequent!
Although Bitcoin’s average volatility has fallen significantly compared with 2018, price moves considered unusual relative to recent market fluctuations have occurred more frequently this year.
The analysis reported by CoinDesk shows that Bitcoin’s shift to a calmer market has not eliminated sudden price shocks. While annualized volatility fell from 84 percent in 2018 to approximately 46 percent in 2026, the frequency of days considered statistically unusual moved in the opposite direction.
At the heart of this distinction are “three-sigma” moves, in which price changes reach a threshold three times the measure of recent volatility. The measure looks not only at the percentage change in a move, but also at how unusual it is relative to the market’s typical rhythm.
Moves got smaller, but surprise days increased
The average size of three-sigma moves in Bitcoin fell from about 10 percent in 2018 to 7 percent this year. Despite this, the number of days with unusual moves by this measure has already exceeded the total for all of 2018 in 2026.
So the notable point is not that prices are changing by larger percentages than before; it is that moves exceeding the recent norm are occurring more frequently in a market that has become calmer.
Volatility similar to Nvidia’s, but more than three times as many unusual days
Since 2024, Bitcoin and Nvidia have had similar volatility levels, at around 47 percent. But during the same period, Bitcoin recorded 26 three-sigma days, compared with 8 for Nvidia. The S&P 500 had 16 such days, while gold had 12.
Nicolas Quatravaux, head of Europe, the Middle East and Africa at Paradigm, said institutional investors, ETFs, and deeper liquidity have made the average trading day calmer. He added that macroeconomic developments, leveraged trading, and investor positioning can still lead to sharp price moves.
This matters to investors who use volatility measures to determine how much Bitcoin to hold in their portfolios. While lower average fluctuations offer a more stable picture, they do not, on their own, reflect how often prices suddenly deviate from their usual movements.