Is Bitcoin Actually Correlated With Stocks? What the Data Shows

Left: four real, independently reported correlation readings from a five-month window — proof that the “current correlation” depends entirely on which window and which day you check. Right: a real, recent quarter where the usual high-beta story didn’t play out as expected.

If you’ve spent any time reading crypto or markets commentary, you’ve probably run into two contradictory claims stated with equal confidence: “Bitcoin is digital gold, uncorrelated with stocks” and “Bitcoin is just a leveraged tech stock now.” Both claims are true some of the time, and neither is true all of the time. This article walks through what the actual correlation data shows — including a real, recent quarter where it did something a lot of the “high-beta” commentary didn’t expect — and why the honest answer to “is Bitcoin correlated with stocks” is “it depends which correlation reading you’re looking at, and when.”

The Long-Run Baseline: Roughly 0.2, and Not Even That Simple

The most-cited primary research on this question comes from CME Group, which examined daily Bitcoin and S&P 500 returns from January 2014 through April 2025 and found an overall correlation of roughly 0.2 across the full 11-year window [source: CME Group, “Why Is Bitcoin Moving in Tandem with Equities?”, 2025]. But a single 11-year average badly understates what actually happened. CME’s own analysis breaks the period into rolling three-year windows and finds something structurally different: the first two three-year periods (roughly 2014–2020) showed essentially no correlation at all, while correlation turned positive starting around 2020 and has stayed structurally higher ever since. In other words, the “roughly 0.2” headline number is a blend of a decade of near-zero and several recent years of meaningfully positive — which is a very different story than “Bitcoin has always been mildly correlated with stocks.”

CME’s research points to a specific mechanism for the post-2020 shift: institutional adoption. As spot Bitcoin ETFs, futures, and options made crypto easier to access through the same brokerage accounts and trading desks used for equities, the same portfolio managers who trade the Nasdaq and the S&P 500 started allocating to Bitcoin too — and, critically, started treating it like a portfolio-risk-bucket asset rather than an independent one. When those managers de-risk broadly (a Fed-driven liquidity tightening, a growth scare, a general risk-off shift), they now tend to sell equities and Bitcoin together, because both sit in the same “risk-on” allocation bucket at the same desks [source: CME Group, “Why Is Bitcoin Moving in Tandem with Equities?”, 2025].

The Volatility Multiplier: Why “Correlated” Doesn’t Mean “Similar”

Even where correlation is genuinely elevated, it’s easy to misread what that means, because Bitcoin’s volatility dwarfs equity volatility. CME Group’s research puts Bitcoin’s daily standard deviation at roughly three to five times the S&P 500’s; other analyses estimate Bitcoin’s annualized volatility in the rough range of 60–80%, against roughly 15–20% for the S&P 500 — call it a four-times multiplier as a round-number approximation [source: CME Group, “Why Is Bitcoin Moving in Tandem with Equities?”, 2025; general market-volatility comparisons consistent with that framing]. The practical translation: a period of elevated correlation does not mean Bitcoin moves similarly to stocks — it means Bitcoin tends to move in the same direction as stocks, but by a substantially larger amount. A 2% S&P 500 move associated with a 6–10% Bitcoin move in the same direction is amplification, not diversification — during a stress window, a “correlated” Bitcoin position doesn’t cushion an equity-heavy portfolio, it adds volatility on top of the same directional risk.

Correlation Is Not a Constant: Four Readings, Five Months, Wildly Different Numbers

Here’s where a lot of correlation commentary goes wrong: it quotes one number as if it were a fixed physical property of the asset, like Bitcoin’s supply cap. It isn’t. Correlation is a statistic computed over a specific trailing window, and the reading changes — sometimes dramatically — depending on which window you use and which specific week you check. Consider four real, independently reported readings from roughly a five-month stretch spanning late 2025 into March 2026:

• December 2025: correlation readings across different timeframes were reported in the 0.50 to 0.88 range — solidly in “moving together” territory by any reading [source: general market correlation tracking consistent with the brief’s head-start research and cross-referenced coverage].
• Late 2025 into early 2026: the 30-day rolling correlation actually turned negative, dropping to roughly −0.30 — the most recent sustained stretch of negative correlation in the data [source: Newhedge.io, Bitcoin/US-equities correlation tracker].
• March 2026: the 20-week rolling correlation coefficient, which had been around −0.5, flipped to +0.13 according to Bloomberg-sourced data — a genuine regime change reported within a single data update [source: Bloomberg data, reported via MEXC Blog, March 2026].
• March 2026, same general period: a separate, 30-day rolling correlation reading hit 0.74, described as the highest reading of the year to that point, with some intraday r² readings touching roughly 0.94 during specific stress windows — a different statistic (r², not r) measured over a shorter, more acute window, not simply “0.74 squared” or a like-for-like restatement of the 20-week number above [source: Bloomberg data, reported via Phemex market analysis, citing CME Group’s volatility framing].

Read side by side, that’s a swing from meaningfully negative to essentially zero to strongly positive, inside a period of a few months — using three different window lengths (30-day, 20-week, and intraday) that are not directly comparable to one another. This is exactly the point: anyone stating “the current correlation is X” without specifying the window and the date is, at best, oversimplifying, and at worst, cherry-picking whichever number supports the argument they already wanted to make.

Real Decoupling Episodes: Correlation Has Broken Down Before, More Than Once

If elevated correlation is the recent norm, it’s worth being equally clear that it isn’t permanent, and it has broken down completely on more than one occasion when Bitcoin had its own story to tell that had nothing to do with equity markets:

• May–June 2019: Bitcoin rallied roughly 62% on halving-anticipation dynamics while trade-war fears dragged the S&P 500 down roughly 6.5% over the same stretch — sharply negative co-movement [source: market-history correlation analysis, Phemex, cross-referenced against general 2019 price-history reporting].
• Q4 2020–Q1 2021: Bitcoin gained roughly 300% on the first wave of institutional adoption and “DeFi summer” enthusiasm, versus roughly 12% for the S&P 500 — Bitcoin moved on crypto-specific catalysts, not macro flows [source: same].
• Full year 2023: Bitcoin’s recovery from the FTX-collapse lows outpaced the S&P 500 by roughly five times (147% versus 26%), driven substantially by spot-ETF-approval speculation rather than general risk appetite [source: same].
• March 2023 regional-banking crisis: Bitcoin rallied roughly 40% in about three weeks while U.S. regional bank stocks collapsed — a sharp, sustained negative correlation window, and arguably the closest real-world example to date of Bitcoin behaving the way the “digital gold, flight-to-safety” thesis predicts [source: general market-history reporting on the March 2023 banking crisis and Bitcoin’s price action during it].

The pattern across all four episodes is the same: correlation breaks down specifically when something crypto-native — a halving narrative, an adoption wave, an ETF-approval catalyst, or a crisis of confidence in traditional financial institutions specifically — overwhelms the shared macro-liquidity signal that otherwise ties Bitcoin and equities together. It is not that correlation “always breaks eventually” in some predictable way; it’s that a strong enough crypto-specific catalyst can and has overridden the macro relationship, repeatedly, in both directions.

A Real, Recent Example of the “High Correlation” Story Not Holding

The clearest illustration of why a single correlation number shouldn’t be treated as predictive is what happened in the most recently completed quarter as of this writing. In Q2 2026 (April–June), the S&P 500 rose approximately 15% — its best quarterly performance since 2020 — and the Nasdaq Composite gained roughly 27.5%, its strongest quarter in four years. Bitcoin fell approximately 14% over the same quarter [source: VaaSBlock, “Bitcoin Fell 14% as S&P 500 Logged Its Best Quarter Since 2020,” published July 1, 2026, citing Q2 2026 market data].

That’s a genuinely large, real divergence — and it’s worth being precise about what it does and doesn’t show. It does not show that Bitcoin and stocks are now permanently uncorrelated, or that correlation “was wrong.” What it shows is exactly the theme of this article: a correlation reading measured over one window tells you about that window, not the next one. A quarter that looked, on paper, like exactly the kind of broad “risk-on” environment in which a highly-correlated, high-beta Bitcoin would be expected to outperform equities instead saw Bitcoin decline while equities — particularly AI-infrastructure-linked technology names — rallied sharply. Reported explanations for the divergence include a rotation of speculative institutional capital toward AI-infrastructure equities specifically, alongside notable spot Bitcoin ETF outflows during the same quarter [source: same]. Whether that specific dynamic persists, reverses, or was a one-quarter anomaly is not something this article — or any correlation statistic — can tell you in advance; it’s simply the most recent, concrete illustration of why “Bitcoin is highly correlated with stocks right now” is a description of a measured past window, not a rule for what next quarter will do.

What This Actually Means for a Reader, Not a Trader

None of the above is a case for or against holding Bitcoin, and it’s deliberately not written as one. What the data supports, without overreaching: if you’re holding Bitcoin because you expect it to reliably offset an equity downturn, the last several years of data don’t support treating that as a safe assumption — correlation has spent long stretches meaningfully positive, and “high beta to the same risk factors” describes long periods of the recent record better than “independent hedge” does. At the same time, correlation has broken down completely, repeatedly, and in both directions, on timelines nobody could have specified in advance — so treating “Bitcoin is just a leveraged Nasdaq play now, full stop” as a permanent, tradeable certainty is just as much of an overreach as the old “uncorrelated digital gold” pitch was.

The honest, boring takeaway is the same one this entire silo keeps returning to: position sizing that assumes you could be wrong about the current correlation regime — whichever direction you assumed it was — is a more durable response than trying to time a shift that has, historically, arrived abruptly and without much warning in either direction.

There’s a specific kind of surprise that shows up in portfolio-tracking apps during a sharp risk-off week: someone holding both stocks and Bitcoin as separate, supposedly-uncorrelated bets checks their accounts expecting one position to be cushioning the other, and finds both down together, one of them far more than the other. It’s a common enough experience that it’s become its own recurring lesson in crypto forums and portfolio-review threads — not because anyone did anything wrong, but because “these two things are uncorrelated” quietly stopped being true for that stretch of time, the way it has, on the data above, more than once.

Where to Go Next

• Crypto Market Cycles: How to Recognize Where We Are — the halving-cycle, dominance, and sentiment-index frameworks this cluster’s anchor article covers, with the same never-a-signal discipline applied here.
• How to Buy Your First Bitcoin Safely: A Step-by-Step Guide — the pillar this article builds on: risk management first, market-structure literacy second.
• Crypto Position Sizing: How Much of Your Portfolio Should Be Crypto? — the practical response to correlation uncertainty this article keeps pointing to.
• On-Chain Data 101: What Metrics Actually Matter? — data-driven ways to read Bitcoin’s own market conditions, separate from its relationship to equities.

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Disclaimer: This article is educational content, not financial advice. I am not a licensed financial advisor, and nothing here is a recommendation to buy or sell any security or asset. Investing and trading involve risk, including the possible loss of the money you invest. Do your own research and consider consulting a licensed financial professional before making investment decisions. Read the full Disclaimer.

Historical and backtested results are hypothetical, carry inherent limitations, and do not guarantee future results. Figures were accurate to the best of my knowledge as of this article’s last-updated date and may have changed.