Alphabet and Bitcoin sit in different corners of the financial world, and their returns overlap more often than most traders expect. Anyone holding both, whether as shares and coins or as the GOOGLX/USDT Spot pair and BTC/USDT Spot on the same venue, is running two positions that sometimes behave like one.
How often that happens, and when, is a measurable question. The figures below were computed from daily closing prices: Nasdaq's record for GOOGL and the S&P 500 (SPY), and Coinbase's for Bitcoin, aligned on trading days from January 2019 to September 10, 2026, so every number here can be reproduced.
Understanding the relationship helps you size positions, plan hedges and avoid the surprise of watching two supposedly separate bets fall together on the same afternoon.
What is the correlation between Alphabet stock and Bitcoin?
The correlation between Alphabet stock and Bitcoin is low to moderate and far from stable. Over the full period from January 2019 to September 2026, the Pearson correlation between GOOGL's daily returns and Bitcoin's is 0.25. That single figure hides wide swings: the 90-day rolling correlation has run from -0.18 in September 2019 to 0.60 in October 2022, and at the September 10, 2026 close the last 30 days read -0.07, the last 90 days 0.13, and the last year 0.23.
Those numbers say that Alphabet is nothing like a tech-stock clone of Bitcoin, and Bitcoin is nothing like a leveraged version of GOOGL. The two respond to overlapping macro forces at times and diverge when asset-specific stories take over. When global liquidity expands or contracts sharply, risk assets tend to move in the same direction (source: CME Group); when the driver is an earnings report or a halving, they go their own ways.
Correlation measures how returns move together and says nothing about which asset is the better investment. Over the full period Alphabet compounded at about 27% a year and Bitcoin at about 48%, and Bitcoin's volatility and drawdowns were far larger. Over the last five years the order reverses, with Alphabet at 18% a year against Bitcoin's 9%, and over the last twelve months Alphabet rose 39% while bitcoin fell 31%. Diversification needs more than one number, and it needs a current one.
On BloFin, Bitcoin Spot and Perpetual markets sit alongside GOOGLX/USDT and the GOOGLUSDT Perpetual, so the correlation bears directly on how you size and hedge exposure across the two.
Alphabet stock and Bitcoin as different financial assets
Alphabet stock is equity in a company that earns revenue from advertising, cloud computing, AI infrastructure and hardware. Its value rests on future earnings, free cash flow, buybacks and the performance of Google Services and Google Cloud. Quarterly results and shifts in advertising spending move the stock independently of anything happening in crypto.
Bitcoin operates under protocol rules with a fixed supply schedule rather than corporate management. It has no earnings, no management, no dividend and a fixed supply schedule set by protocol rules. Its price responds to global liquidity cycles and institutional adoption, network effects, regulation and halving events. Alphabet's price is driven by advertising and cloud growth; Bitcoin's is driven by none of those.
Because the underlying stories differ so sharply, a long-run correlation far from one is what you would expect. Both are now widely held in institutional portfolios and both trade on large regulated venues, and institutional models increasingly place Bitcoin in the same risk-asset bucket as technology stocks. That is what raised the correlation from Bitcoin's early, isolated years, when the relationship was closer to zero and briefly negative.
How correlation between Alphabet and Bitcoin price movements is measured
Correlation is a number between -1 and +1 describing how two assets' returns tend to move together. A value of +1 means they move in the same direction by proportional amounts every time; -1 means they move opposite; 0 means their daily returns are independent of each other.
The standard approach applies the Pearson formula to daily logarithmic returns, never to price levels. GOOGL and Bitcoin differ in price by orders of magnitude, so comparing levels would be meaningless. Analysts use rolling windows of 30, 90, 180 or 365 days because the relationship changes over time; a single all-period figure like 0.25 can conceal months where the 90-day reading sat above 0.5, and it does. For example, Bitcoin versus GOOGL can show different readings depending on the window, with correlation ranging from 0.09 to 0.25 over time.
One practical detail: Bitcoin trades seven days a week and Alphabet five. A clean comparison uses trading days only, which is what the figures here do. Including Bitcoin's weekend moves against a flat equity price would understate the correlation.
More advanced work applies rolling regressions, R-squared analysis and regime-switching models to separate calm periods from stressed ones. For portfolio decisions, look at several horizons: a short-term trader cares about the 30-day rolling figure, a long-term holder about the multi-year picture. Exporting daily prices for GOOGLX/USDT and BTC/USDT and running the calculation yourself takes a spreadsheet and an afternoon.
Historical Alphabet stock vs Bitcoin correlation: the key phases
From 2013 through 2016, Bitcoin was a niche asset with fragmented liquidity, and Alphabet moved on technology earnings and the advertising cycle. Any measured correlation was erratic and statistically weak.
Through 2017 and 2018, Bitcoin's bull run peaked near $19,000 and then fell to around $7,000 in early 2018, a crash that had almost nothing to do with Alphabet's business. Rolling correlations between Bitcoin and broad equity indices stayed near zero (source: CME Group). In the data here, the 90-day correlation between GOOGL and Bitcoin averaged -0.10 across 2019: two assets trading on separate stories.
The pandemic changed that. Aggressive monetary stimulus in 2020 and 2021 made both Bitcoin and large technology stocks beneficiaries of the same liquidity wave. The 90-day GOOGL-Bitcoin correlation averaged 0.31 in 2020, and the March 2020 crash showed the mechanism starkly: from February 19 to March 23, 2020, Alphabet fell 31%, Bitcoin 32% and the S&P 500 34%. Three assets, one sell-off.
Then 2022 produced the highest sustained co-movement in the record. As central banks tightened, the 90-day correlation averaged 0.44 for the year and peaked at 0.60 on October 21, 2022. Over the calendar year Alphabet fell 39%, Bitcoin 64% and the S&P 500 20%. Since then the relationship has settled back into a regime-dependent pattern: 0.20 in 2023, 0.11 in 2024, 0.34 in 2025 and 0.20 so far in 2026, high when liquidity moves everything and low when a crypto-specific or Alphabet-specific story dominates.
What drives correlation between Alphabet and Bitcoin
Correlation is an outcome of shared and separate drivers, never a fixed property of the two assets.
Shared macro drivers push them together. Global liquidity, real interest rates, inflation expectations and broad risk appetite move both Bitcoin and large-cap technology in the same direction. When central bank balance sheets expand, money flows into risk assets broadly; when they contract, both suffer. The clearest single day in the record is April 9, 2025, when a change in US tariff policy sent the S&P 500 up 10.5%, Alphabet up 9.7% and Bitcoin up 8.3% in one session. Nothing happened at Alphabet or on the Bitcoin network that day.
Alphabet-specific drivers break the link. Earnings surprises, advertising trends, AI capital spending, antitrust rulings and cloud margins have little direct effect on Bitcoin. On the session after the search-case remedies ruling, September 3, 2025, Alphabet rose 9.1% and Bitcoin 0.5%. On the session after first-quarter results, April 30, 2026, Alphabet rose 10.0% and Bitcoin 0.7%. Those are the two largest Alphabet days of the past two years, and Bitcoin did not notice either.
Bitcoin-specific drivers do the same in reverse. Halvings, mining economics, ETF flows, crypto regulation and adoption cycles do not map onto Alphabet's earnings at all. Over the past twelve months Bitcoin fell 31% while Alphabet rose 39%, a divergence that no shared macro story explains.
When macro dominates, correlation rises. When each asset's own story dominates, the two decouple, and the record shows both states within the same year.
Whether Bitcoin trades like a technology stock
The claim that Bitcoin is just another tech stock surfaces whenever Bitcoin and the Nasdaq move together for a few months. The data supports a narrower statement.
Bitcoin's correlation with the S&P 500 has reached 0.62 on a rolling 90-day basis, in May 2022, and over the past year it stands at 0.41. Its correlation with tech stocks is broadly similar to its peers rather than unique to Alphabet. Its R-squared against the Nasdaq is about 0.24 (source: NYDIG), which means roughly three-quarters of Bitcoin's return variance is unexplained by the equity market; against the S&P 500 in the data here it is 0.17 over the past year. Alphabet's R-squared against the S&P 500 over the same year is 0.34, twice Bitcoin's, which is what you would expect of one of the index's largest components.
Unlike a company with earnings and dividend payments, Bitcoin has no standard valuation anchor despite a market capitalization of roughly $160 billion. Its adoption cycles, supply shocks and regulatory history give it a return distribution unlike any equity: over the full period here it compounded at about 48% a year with a maximum drawdown of 77%, against Alphabet's 27% a year with a 44% drawdown. That is the profile of a distinct asset that spends part of its time behaving like a risk asset, and part of its time behaving like nothing else.
Returns, risk adjusted returns, volatility and drawdowns: Alphabet vs Bitcoin
Raw returns tell part of the story. The rest is how much volatility and drawdown you endure to earn them, and both change with the window.
Window to September 10, 2026 | Alphabet return (annualized) | Alphabet volatility | Bitcoin return (annualized) | Bitcoin volatility |
One year | +38.8% | 31.2% | -31.4% | 43.9% |
Three years | +34.8% | 30.5% | +43.7% | 47.4% |
Five years | +18.0% | 32.0% | +9.4% | 52.8% |
Full period (from January 2019) | +27.2% | 31.5% | +47.5% | 62.8% |
Bitcoin's edge in return exists only over the longest windows, and it has come with volatility one and a half to two times Alphabet's and a maximum drawdown of 77% against 44%. Over a 10-year view, Bitcoin's annualized return is 62.18% versus Alphabet's 23.92%, with cumulative gains since 2013 peaking above 13,500%. Bitcoin's volatility is also higher than traditional equities, with one source methodology putting the figure at 12.36% versus Alphabet's 6.96%. Bitcoin's typical daily move over the full period was about 4%, Alphabet's about 2%. Over the last five years Alphabet has been the better performer with far less pain, and over the last year the gap is stark.
This is why correlation-based portfolio work needs a second number. An asset can have a low correlation to Alphabet and still dominate the portfolio's risk if its volatility is high, making this comparison useful for enabling cleaner position sizing. When you track your portfolio's performance, measure each position's contribution to risk rather than its weight: equal dollar amounts in GOOGLX and Bitcoin are nowhere near equal risk when one moves twice as far each day. For risk adjusted returns, the Sharpe Ratio line is less flattering for Bitcoin at -0.70 versus Alphabet's 1.84, while its Sortino ratio around 1.6 is closer to tech stocks.
Traders running both on BloFin can treat Alphabet and Bitcoin as separate risk buckets and use the perpetuals to trim one without touching the other. The current funding rate and open interest for each are live on the BTCUSDT Perpetual and GOOGLUSDT Perpetual pages, and comparing the two funding rates is a quick read on which side of each market is crowded.
How the correlation behaves when risk asset exposure comes off
Many investors look at the Alphabet-Bitcoin correlation to judge diversification, and the average figure flatters it. The question that matters to a portfolio is what the correlation does in a sell-off, and the answer in the record is consistent: it rises, and Bitcoin falls harder.
Episode | Alphabet | Bitcoin | S&P 500 |
Pandemic crash, February 19 to March 23, 2020 | -31% | -32% | -34% |
Rate-tightening year, 2022 | -39% | -64% | -20% |
February 2026 sell-off, January 30 to February 27 | -8% | -22% | -1% |
Including both assets does reduce portfolio variance over the long run, because their average correlation is low across calm regimes. The problem is that both sell off together in the periods when diversification is supposed to help. In a liquidity crunch, correlations across risk assets spike toward one. Bitcoin’s correlation with the S&P 500 has often exceeded 70% in recent years during stressed periods, which suggests macro forces can pull it closer to traditional equities. The February 2026 episode shows the asymmetry that comes with it: a modest equity wobble, an 8% fall in Alphabet, and a 22% fall in Bitcoin. A gold allocation or a bond sleeve adds a layer that behaves differently in those windows; a second risk asset does not.
For portfolio construction, plan around a range of correlation scenarios and stress-test against the episodes above rather than the average. On a venue where both Bitcoin and GOOGLUSDT positions can be adjusted in real time, a trader can respond to a correlation shift with a tactical hedge instead of relying on a static diversification assumption that the next crisis will test.
Alphabet stock vs Bitcoin correlation in different market regimes
Loose monetary policy and liquidity waves. Both assets rise in low-rate environments. Cheap money and fiscal stimulus support risk assets broadly and push rolling correlations higher. From a finance perspective, these episodes show the relation between Bitcoin and large-cap equities changes with liquidity rather than staying fixed. Bitcoin behaves like a high-beta risk asset in a liquidity flood, outperforming on the way up and dropping harder at the first sign of tightening.
Tightening cycles and risk-off episodes. The diversification implications matter when assets that are rarely negatively correlated start selling off together, even if the paths still diverge. Alphabet reacts to earnings downgrades and advertising slowdowns; Bitcoin reacts to forced deleveraging in crypto derivatives and exchange outflows. Correlations in these episodes are high on average and noisy day to day, as 2022 showed.
Crypto-specific booms. Around halvings, ETF approvals and adoption surges, Bitcoin moves on its own story while Alphabet lags or trades flat. The correlation drops even as both carry the risk-asset label.
Technology or AI-specific booms. When Alphabet rallies on AI capital spending, cloud margins or regulatory clarity, Bitcoin can lag or drift sideways. The two largest Alphabet days of the past two years are the evidence: Bitcoin barely registered either.
Using the Alphabet-Bitcoin correlation in portfolio decisions
Investors use cross-asset correlations to decide how much of each asset to hold, how to hedge spot positions and how to target a chosen level of risk. Any benchmark comparison is useful only when the chosen benchmark is applicable to the question being tested.
A conventional investor might add a small Bitcoin allocation alongside Alphabet and other equities, seeking higher long-run return and some diversification while accepting that Bitcoin's volatility raises the portfolio's overall variance. A more active trader might run relative-value ideas, long Alphabet and short bitcoin when a decoupling is expected, or the reverse. Those strategies need tight risk management, stops and continuous attention to the correlation regime, because the regime is what makes or breaks them.
Because the correlation is unstable, position sizes should be conservative and stress-tested against the periods when Bitcoin's volatility and its correlation spike together. These tools are enabling more disciplined position sizing rather than predicting exact price movements. BloFin's Bitcoin Spot pairs, the BTCUSD Perpetual margined in Bitcoin, GOOGLX/USDT Spot and the GOOGLUSDT Perpetual let a trader express and adjust those cross-asset views on one account. How tokenized stocks fit into a wider strategy is covered separately.
Practical steps for BloFin traders holding both Alphabet and Bitcoin
If you hold or trade both GOOGLX and Bitcoin on BloFin, four habits turn the correlation from a statistic into a decision.
Monitor the rolling correlation yourself. Export daily prices for GOOGLX/USDT and BTC/USDT and compute 30-day and 90-day rolling correlations. A rising reading warns that your two positions are starting to behave like a single bet, but the process matters more than any single reading because the relationship can change quickly.
Separate the risk budgets. Decide what share of portfolio risk goes to GOOGLX/USDT or GOOGLUSDT and what share to Bitcoin's higher-volatility profile. Equal dollar amounts are unequal risk when one asset's daily swings are nearly twice the other's.
Watch the macro calendar. Central bank decisions, inflation prints and earnings season are the moments when correlations across risk assets rise. Perpetuals on either asset can trim net exposure ahead of those events, and leverage and liquidation mechanics are a prerequisite before adding a hedge.
Treat it as one tool among several. Correlation data sits alongside technical, sentiment and fundamental work, and Alphabet's own volatility profile, covered in Alphabet stock volatility explained, is the other half of the sizing question. Please note that correlation should be read alongside sentiment and market structure, not in isolation.
Looking to hold Alphabet and Bitcoin side by side? To get started, you'll need to first create a BloFin account, fund your account with cryptocurrency, and navigate to the GOOGLX/USDT Spot trading page, GOOGLUSDT Perpetual page, BTC/USDT Spot trading page, BTCUSDT Perpetual page or BTCUSD Perpetual page.
Frequently asked questions
Has Bitcoin's correlation with Alphabet stock increased over time?
Yes. In the data from January 2019, the 90-day rolling correlation averaged -0.10 across 2019 and has averaged about 0.26 since March 2020, reaching 0.44 for the whole of 2022. Institutional flows, spot Bitcoin ETFs and shared exposure to global liquidity pushed it higher in certain windows, and it still falls back toward zero whenever an Alphabet-specific or Bitcoin-specific story takes over, as it did through much of 2024.
Does a low correlation mean Alphabet and Bitcoin move in opposite directions?
No. A correlation near zero means their daily returns are largely independent: some days together, some days apart, with no consistent pattern either way. A negative correlation would mean they tend to move opposite, and a true hedge is different from an asset that only occasionally moves independently; the record shows that only briefly, in 2019, at -0.18. Low correlation and negative correlation are different things, and neither is a hedge on its own. That distinction is the key point for portfolio construction.
Can the Alphabet-Bitcoin correlation help me time the market?
It can inform expectations about the risk regime rather than the direction. If you expect liquidity to tighten, expect the correlation to rise and both assets to fall together, which argues for reducing concentrated exposure. It says nothing about when either asset will turn, and using it as an entry or exit signal on its own is a mistake the data does not support.
Is Bitcoin a safe haven compared with big technology stocks?
The record says no. In every stress episode since 2020, Bitcoin has fallen alongside equities and usually further: 32% in the pandemic crash against Alphabet's 31%, 64% across 2022 against 39%, and 22% in February 2026 against 8%. Its correlation with equities rises in a crisis rather than turning negative. Gold has historically behaved differently in those windows, which is why a gold sleeve diversifies a portfolio of Alphabet and Bitcoin in a way that neither of them diversifies the other, and the same logic applies across broader financial systems because Bitcoin has tended to trade like a risk asset during market stress rather than a stand-alone safe haven.
Is the correlation any different if I hold Alphabet through GOOGLX?
Effectively no. GOOGLX is a tracker certificate on Alphabet Class A shares, and its price follows the underlying closely, so its statistical correlation to Bitcoin is the share's correlation before fees and token-specific frictions. The one difference is timing: GOOGLX trades through hours when Nasdaq is closed and can react to weekend news before the share does, which can make the token's short-window correlation with Bitcoin look slightly higher than the share's. How the token is backed is covered in the proof-of-reserves article.
How often should traders reassess cross-asset correlations?
Often, because the figure moves. Re-estimate the rolling windows after any shift in macro conditions, such as a rate decision or a major market event, and treat the historical Alphabet-Bitcoin correlation as a guide to the regime rather than a fixed law. A 30-day figure of -0.07 and a one-year figure of 0.23, both true on the same day in September 2026, is the normal state of this relationship.
Researched and written by the BloFin Academy editorial team with AI-assisted drafting. All facts independently verified. Correlations, returns, volatility and drawdowns were computed from daily closing prices, Nasdaq's record for GOOGL and SPY and Coinbase's for Bitcoin, aligned on trading days from January 2, 2019 to September 10, 2026; the Bitcoin R-squared against the Nasdaq is NYDIG's; the liquidity-cycle framing is CME Group's; product details are BloFin's published listings, current as of September 2026.
Nothing in this article constitutes financial advice, and nothing in it is a recommendation to hold or trade Alphabet or Bitcoin. Correlation is a backward-looking statistic that changes with the window and can reverse without warning; in a sell-off, assets with a low average correlation can fall together. Recompute the figures from current prices before relying on them.