Wednesday’s inflation shock did two things at once: it sent the Cboe Volatility Index, the VIX, up 10.5% to 16.87 and it sent bitcoin down 1.85% on the day. Was that a coincidence or the usual pattern? We tested it. Across the 253 US trading days from 15 October 2025 to 14 October 2026, bitcoin averaged −2.70% on the 26 days the VIX rose 10% or more, and it rose on only 5 of them. On the 28 days the VIX fell 7% or more, bitcoin averaged +1.28%.
This is our own calculation from public price data, and it describes the past year. It does not predict anything, and it does not show that volatility in stocks causes bitcoin to fall. The sections below say what we measured, how, and how much to trust it.
What we measured
The VIX is the market’s expected 30-day volatility on the S&P 500, derived from option prices. A 10% rise in a single day is a large move in the index itself: with the VIX at 15, that means 1.5 points, and it usually happens when stocks fall sharply. We took the daily percentage change in the VIX close (Yahoo Finance, ticker ^VIX) for each US trading day in the window, and matched it with bitcoin’s return on the same calendar date: the Coinbase Exchange UTC daily candle, close divided by open. We then grouped the days by how much the VIX moved.
Two cautions on timing. The US stock market closes at about 20:00–21:00 UTC, while the bitcoin candle runs from 00:00 to 24:00 UTC, so part of bitcoin’s move on any given date happens before the VIX has moved. That does not break the comparison, because both react to the same news, but it means we cannot say which moved first. We also include Wednesday 14 October in the sample, since its data was complete when we ran this; we show the result without it below.
The result in one table
| VIX daily change | Days | Bitcoin mean (same date) | Median | Bitcoin up on | Next-day mean |
|---|---|---|---|---|---|
| +10% or more | 26 | −2.70% | −2.26% | 5 of 26 | +0.01% |
| +7% or more | 38 | −1.72% | −1.92% | 11 of 38 | +0.36% |
| Between −5% and +5% | 148 | −0.19% | −0.22% | 65 of 148 | −0.43% |
| −5% or less | 52 | +1.37% | +0.94% | 33 of 52 | +0.07% |
| −7% or less | 28 | +1.28% | +1.10% | 20 of 28 | +0.06% |
| All days | 253 | −0.13% | −0.24% | 113 of 253 | −0.18% |
The pattern is monotonic: the bigger the VIX jump, the worse bitcoin did on the same date. The standard error of the mean on the 26 spike days is 0.58 percentage points, so the average of −2.70% is roughly 4.7 standard errors below zero. Across all 253 days, the correlation between the VIX’s daily change and bitcoin’s same-date return is -0.38, and -0.29 over the last 120 days. That is a moderate negative relationship, not a tight one: most of the variation in bitcoin’s daily return has nothing to do with the VIX.
The ten biggest VIX jumps
An average hides the individual days, so here are the ten largest one-day VIX increases in the window and what bitcoin did on the same date.
| Date | VIX change | VIX close | Bitcoin same date | Bitcoin next day |
|---|---|---|---|---|
| 2026-06-05 | +39.7% | 21.5 | −4.35% | −0.30% |
| 2026-01-20 | +26.7% | 20.1 | −4.59% | +1.19% |
| 2026-03-06 | +24.2% | 29.5 | −3.92% | −1.25% |
| 2025-10-16 | +22.6% | 25.3 | −2.35% | −1.60% |
| 2026-02-12 | +18.0% | 20.8 | −1.23% | +3.93% |
| 2026-02-05 | +16.8% | 21.8 | −13.98% | +12.33% |
| 2025-11-13 | +14.2% | 20.0 | −1.99% | −5.13% |
| 2026-07-13 | +14.2% | 17.2 | −2.31% | +4.37% |
| 2026-07-29 | +13.5% | 20.7 | +0.08% | +1.29% |
| 2026-03-27 | +13.2% | 31.0 | −3.51% | −0.05% |
Bitcoin fell on 9 of those ten days. The single largest fall in the whole window, −13.98% on 2026-02-05, came on a VIX jump of +16.8%. We cannot reconstruct what drove each day from price data alone.
How robust is it?
Four checks. First, without Wednesday: the 25 earlier spike days averaged −2.73% (standard error 0.60), so the result does not depend on the day that prompted this article. Second, without the single worst day: dropping 5 February, when bitcoin fell almost 14%, leaves 25 days averaging −2.25%; dropping both the best and the worst day gives −2.38%. Third, over time: the first half of the window had 17 spike days averaging −3.30%, the second half 9 days averaging −1.56%. The relationship is still negative but smaller, with only 2 of 9 up days, which fits what we found for the semiconductor ETF in our 14 October analysis: links between bitcoin and stocks have weakened since spring.
Fourth, the level of the VIX. Wednesday’s close of 16.87 is low by the standards of the window: the VIX ended above 20 on 18 of the 26 spike days. Spike days that ended with the VIX below 20 (8 days) averaged −2.24% for bitcoin, against −2.90% for those that ended at 20 or above (18 days). So a jump from a calm base, like Wednesday’s, has been associated with a somewhat milder average fall, but the gap of 0.65 percentage points is about the size of the standard errors of the two groups (0.53 and 0.80), so it could easily be noise.
Does bitcoin rebound the next day?
No reliable pattern. The day after a VIX jump of 10% or more, bitcoin averaged +0.01% and rose on 10 of 26 days: essentially a coin flip. The day after a VIX drop of 7% or more it averaged +0.06%. In other words, most of the association shows up on the same date, and a bad day for bitcoin on a VIX spike has not, on average, been followed by a bounce. That is a description of 26 events, and it is also what you would expect if both assets were reacting to the same news and then moving on.
What this does not show
Five limits. Correlation is not cause: the VIX and bitcoin both respond to news such as inflation data, rate-hike odds or an equity selloff, and we cannot separate those. Clustering: the 26 spike days are not independent. They cluster in a few months (we count 5 in November 2025, 10 across February and March 2026 and 4 in July), so the effective number of independent episodes is lower than 26. Outliers: one day contributes a large share of the average, as shown above. Window: one year, in a market that included a steep drawdown. Data choice: other bitcoin price sources and other cut-offs for the day would shift the numbers slightly.
For an investor, the useful reading is narrow. When the VIX jumps, bitcoin has more often than not behaved like a risk asset over the past year, whether the jump came from a calm or a nervous base. It is not a trading rule, and it says nothing about what will happen after today’s Kospi circuit breaker (see our report on the Asian rout) or the October 27–28 Fed meeting.
To go further, our dollar analysis uses the same method on the dollar index, where bitcoin averaged −1.33% on the 42 days it rose 0.3% or more, and our oil analysis found almost no relationship on falling-oil days. Of the three, the VIX has the largest correlation with bitcoin in this window.
Method: bitcoin and ether prices, highs, lows and closes are Coinbase Exchange candles (UTC day or UTC hour) pulled by Bitcoin Mastery at about 06:15 UTC on Thursday 15 October 2026; the 15 October candle is still open at that time, so any closing figure quoted is the 14 October close unless stated. Index, VIX, dollar-index and Brent figures are Yahoo Finance daily data; Asian sessions had not all closed at pull time (the Kospi closes at 06:30 UTC), so Kospi levels are intraday. Other third-party figures are attributed to their source and date. Analysis window: 253 US trading days from 15 October to 14 October 2026 where both a VIX close and a Coinbase UTC daily candle exist. VIX = Yahoo Finance ^VIX close, percentage change from the prior US trading day. Bitcoin return = close/open of the Coinbase UTC daily candle for the same calendar date; next-day return uses the following UTC date. Standard error = standard deviation divided by the square root of the number of days. Not a forecast.
Disclaimer: This article is for informational purposes only and does not constitute investment advice. Bitcoin and other cryptocurrencies are volatile and you can lose some or all of the money you put in. Nothing here is a recommendation to buy, sell or hold bitcoin, any exchange-traded fund, any listed security or any other asset, and the technical levels, probabilities and scenarios discussed are descriptions of published data, not forecasts. Do your own research and consult a licensed financial advisor before making investment decisions.