Bitcoin Volatility Calculator
Live 7/30/60/90-day rolling annualized volatility with expected daily moves, regime classification, and BTC vs Gold, S&P 500, NVIDIA and Ethereum comparison.
Bitcoin volatility measures how much BTC's price swings around its average — annualised, it sits around 60–80%, roughly 4× the S&P 500's 15–20%. The calculator computes 30-day, 90-day, and 1-year rolling standard deviation from CoinGecko price history, then benchmarks BTC against gold, the S&P 500, and the Nasdaq so you can size positions properly.
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12.3%
Annualized
28.6%
Annualized
30.5%
Annualized
34.7%
Annualized
43.2%
Annualized
Low
Based on 30-day vol
±1.50%
±$975
±3.96%
±$2,575
±8.21%
±$5,338
16th
vs 1-year history
Formula: Realized Vol = StdDev(ln(Pt/Pt-1)) × √365
Expected Daily Move: Annualized Vol ÷ √365
Data source: CoinGecko daily closing prices • Updated every 5 minutes
Volatility Percentile
Where today's 30-day vol sits in the trailing 1-year distribution.
Below 25th percentile. Historically often precedes large directional moves.
Rolling Window Volatility
Pick a lookback to see how realized vol has tracked over the past year.
Rolling Annualized Volatility
Bitcoin Volatility & Risk-Adjusted Returns
Institutional-grade analysis of Bitcoin's risk profile compared to traditional assets.
Sharpe Ratio Analysis
Evaluating Bitcoin's performance relative to its risk. Despite higher volatility, BTC often exhibits a superior Sharpe Ratio over 4+ year horizons.
Downside Deviation
Understanding the 'Sortino Ratio' — focus on negative volatility rather than total price movement for better risk management.
Volatility Regimes
Historical data showing how Bitcoin transitions from low-volatility accumulation phases to high-volatility price discovery.
Bitcoin Standard Deviation of Daily Returns and Annualized Volatility Range
The standard deviation of Bitcoin daily returns is the dispersion of daily log returns — ln(today's close ÷ yesterday's close) — around their mean. Multiply it by √365 to annualize. Reverse it by dividing the annualized reading by √365 (≈19.1) to get the expected daily move.
Annualized vol = stdev(daily log returns) × √365 · Daily move = annualized vol ÷ 19.1
Worked example: a daily standard deviation of 2.6% annualizes to 2.6% × 19.1 ≈ 49.7%. That means an average day moves about 2.6% in either direction, and roughly two-thirds of days close inside that band. The live dashboard above runs this same calculation over 7, 30, 60, 90 and 365-day windows using real price data.
| Annualized Vol | Expected Daily Move | Regime |
|---|---|---|
| < 30% | 1.6% | Rare for BTC — only seen in the quietest post-halving consolidations |
| 30–45% | 1.6–2.4% | Calm regime; comparable to a high-beta tech stock |
| 45–60% | 2.4–3.1% | The most common Bitcoin regime of the ETF era |
| 60–80% | 3.1–4.2% | Elevated — trending bull phases and post-halving expansion |
| > 80% | > 4.2% | Crisis regime — March 2020, May 2021, the 2022 FTX collapse |
The S&P 500 trades near 16% annualized volatility over the long run, an average daily move of about 0.84%. A 50% Bitcoin reading therefore moves roughly three times as much per day — which means roughly one-third the position size for the same dollar risk.
Bitcoin Standard Deviation of Daily Returns and Annualized Volatility Range
The standard deviation of Bitcoin daily returns is the dispersion of daily log returns — ln(today's close ÷ yesterday's close) — around their mean. Multiply it by √365 to annualize. Reverse it by dividing the annualized reading by √365 (≈19.1) to get the expected daily move.
Annualized vol = stdev(daily log returns) × √365 · Daily move = annualized vol ÷ 19.1
Worked example: a daily standard deviation of 2.6% annualizes to 2.6% × 19.1 ≈ 49.7%. That means an average day moves about 2.6% in either direction, and roughly two-thirds of days close inside that band. The live dashboard above runs this same calculation over 7, 30, 60, 90 and 365-day windows using real price data.
| Annualized Vol | Expected Daily Move | Regime |
|---|---|---|
| < 30% | 1.6% | Rare for BTC — only seen in the quietest post-halving consolidations |
| 30–45% | 1.6–2.4% | Calm regime; comparable to a high-beta tech stock |
| 45–60% | 2.4–3.1% | The most common Bitcoin regime of the ETF era |
| 60–80% | 3.1–4.2% | Elevated — trending bull phases and post-halving expansion |
| > 80% | > 4.2% | Crisis regime — March 2020, May 2021, the 2022 FTX collapse |
The S&P 500 trades near 16% annualized volatility over the long run, an average daily move of about 0.84%. A 50% Bitcoin reading therefore moves roughly three times as much per day — which means roughly one-third the position size for the same dollar risk.
What Bitcoin Volatility Actually Measures
Volatility is a statistical reading of how widely Bitcoin's daily returns swing around their average. The number quoted on this page is realized volatility, calculated as the standard deviation of daily log returns annualized by multiplying by the square root of 365. A 60% annualized reading translates to an expected daily move of roughly 3.1% in either direction, which lines up with how a typical BTC trading day actually feels.
Two flavors matter. Realized vol looks backward and tells you what already happened. Implied vol, derived from options markets, is a forward-looking estimate priced in by traders. Per JPMorgan research published in 2024, the gap between the two often signals positioning extremes. When implied trades well above realized, the market is paying up for protection. When implied collapses below realized, complacency tends to follow shortly after a directional move.
For sizing positions against expected moves, pair this calculator with the Bitcoin Lot Size Calculator so your stop placement matches the regime you are actually trading in. See our how to calculate Bitcoin lot size guide for the full formulas and broker specifics.
Bitcoin vs Gold, Equities and Single Stocks
Fidelity Digital Assets, in its 2024 institutional research, noted that Bitcoin's annualized volatility sat near 3.6 times that of gold and roughly 5.1 times that of the broad equity market. Those multiples sound dramatic, but they shrink fast once you compare BTC to single equities rather than diversified indexes. NVIDIA has run with realized vol in the 45 to 55 percent range during AI cycles. Tesla regularly prints over 55 percent. Both line up with or exceed Bitcoin during the same windows.
BlackRock made a similar point in its iShares Bitcoin Trust filings in 2024, framing BTC as comparable in risk to a high-beta tech name rather than a category of its own. The comparison table on this page makes that visible side by side.
| Asset | Typical Annualized Vol | Multiple vs Gold |
|---|---|---|
| Gold | ~15% | 1.0× |
| S&P 500 | ~16% | 1.1× |
| NVIDIA | ~50% | 3.3× |
| Bitcoin | ~52% | 3.5× |
| Tesla | ~55% | 3.7× |
| MSTR | ~95% | 6.3× |
Sources: Fidelity Digital Assets 2024 outlook, BlackRock iShares 2024 ETF documentation, public 30-day realized volatility benchmarks updated periodically.
Is There a VIX for Bitcoin? DVOL, BVX and BVIV
Bitcoin has three credible implied-volatility benchmarks. DVOL, published by Deribit, is the longest running and pulls from the deepest BTC options book in the market. BVX is the CME CF Bitcoin Volatility Index, launched April 9, 2024 as the first regulated volatility benchmark for Bitcoin. BVIV from Volmex tracks 30-day constant-maturity implied vol and exposes both real-time and historical series.
Treat these gauges as action indicators rather than fear indicators. Unlike the equity VIX, where rising implied vol almost always signals downside hedging, Bitcoin's implied vol can spike on either side of the tape. The 2024 ETF approval window saw implied vol rip on the way up. The COVID shock in March 2020 saw it rip on the way down. A useful shorthand: expected daily move is roughly the implied vol number divided by 20. A DVOL of 60 implies a typical day around 3 percent.
When Bitcoin Moves — Hour, Day and Cycle Patterns
Bitcoin trades around the clock, but volume and volatility cluster. The 08:00 to 10:00 UTC window, which spans the London open and the New York pre-market, shows the highest average hourly vol over the past year. The quietest stretch sits between 00:00 and 04:00 UTC during the late Asia session.
By weekday, Mondays and Tuesdays carry the most movement, partly because they overlap with US macro releases such as CPI and FOMC decisions. By cycle, post-halving years deliver the largest annualized vol expansions historically. After the 2012, 2016, and 2020 halvings, the trailing 12-month vol stepped up within six to twelve months as new highs printed.
For long-term accumulators, intraday timing is mostly noise. The Bitcoin DCA Calculator models the realistic outcome of buying through both calm and stormy windows.
How Traders and Investors Actually Use This Number
Three real-world uses dominate. Position sizing comes first: split your stop distance by the expected daily move so a single typical day cannot take you out. Risk budgeting comes second: a 60 percent annualized reading means a one-standard-deviation month is roughly 17 percent. If that range is uncomfortable, the position is too large for the regime. Regime detection comes third: when 30-day vol sits in its bottom quartile, history shows an expansion is statistically more likely than another quiet stretch.
Glassnode's 2024 work on volatility regimes reinforces the third use. Sustained low-vol windows in Bitcoin have repeatedly preceded directional moves in either direction within weeks rather than months. The percentile gauge above puts the current reading in that historical context.
Frequently Asked Questions
Everything you need to know about Bitcoin volatility, VIX, and risk management
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Bitcoin Volatility Explained: What It Is and Why It Matters
Understand realized vs implied vol, DVOL/BVX indices, and how to use volatility for trading
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Disclaimer
Volatility metrics are calculated from historical CoinGecko price data and reflect past market behavior — they do not predict future price movements. Implied volatility references (DVOL, BVX, BVIV) are approximate values for educational context. This is not financial advice. Always conduct your own research.