Bitcoin traded below $84,000 on Oct. 7 as US Treasury yields near 5.3% offered investors a competing interest-bearing alternative. Higher yields can raise the return investors expect to justify speculative crypto exposure.
The historical relationship is less straightforward. CryptoSlate’s comparison of 2,435 matched daily changes since January 2017 found weak linear relationships between Bitcoin returns, nominal and real Treasury yield changes, and dollar-index returns. The daily relationships also remained weak in the post-ETF trading period.
The US ten-year nominal par yield was 5.27% on Oct. 6, down from 5.31% a day earlier. Bitcoin’s market price was about $83,086 at 14:25 UTC on Oct. 7. The Oct. 5 nominal yield was the highest observation in the daily series examined, which begins in January 2017.
Bitcoin nevertheless gained 84.2% from January 10, 2024, the day before US spot Bitcoin ETF trading began, through Oct. 5, 2026. Over that period, the ten-year nominal yield rose 127 basis points and the real yield rose 113 basis points. This measures Bitcoin’s price performance and shows that rising yields and a rising Bitcoin price can coexist; it establishes no ETF-driven explanation for the gain.
The inflation-adjusted alternative has strengthened too. Treasury’s ten-year real par yield stood at 2.91% on Oct. 6, down from 2.95% the previous day. The Oct. 5 reading was also the highest in the daily series examined since January 2017.
Those levels describe the reward available from a competing interest-bearing alternative. They can make speculative exposure harder to justify, but they do not establish that a yield increase caused Bitcoin’s latest decline. Today’s investment hurdle and the measured relationship between Bitcoin returns and yield changes are separate questions.
What the post-ETF comparison shows
The full daily sample runs from Jan. 4, 2017, through Oct. 5, 2026. The post-ETF sample covers 682 matched daily changes from Jan. 11, 2024, through Oct. 5, 2026.
The later window follows the SEC’s historical approval of spot Bitcoin ETP shares on January 10, 2024. BlackRock’s IBIT began trading on Nasdaq on January 11, 2024. Those dates define the comparison period; the analysis does not isolate the effect of ETFs.
The table shows Pearson correlations. Values near zero indicate little linear co-movement, while a negative value means the variables tended to move in opposite directions. Neither yield measure had a strong negative daily relationship with Bitcoin returns in the later sample.
| Bitcoin daily returns versus | Since January 2017 | Post-ETF trading |
|---|---|---|
| Ten-year nominal yield changes | -0.004 | +0.054 |
| Ten-year real yield changes | -0.047 | +0.042 |
| ICE DXY returns | -0.098 | -0.089 |
The comparison uses Coinbase Bitcoin observations, nominal Treasury yields and real Treasury yields from FRED, alongside DXY observations distributed by Yahoo Finance. DXY is the ICE currency index, a different measure from the Federal Reserve’s broad trade-weighted dollar index.
Observations were matched by date, with missing data omitted rather than filled. Returns between consecutive common dates can span weekends or holidays. Closing times differ across the series, so the comparison does not use synchronized intraday observations.
Monthly sampling changes the picture. Across 116 full months from February 2017 through September 2026, correlations were -0.081 for nominal yield changes, -0.228 for real yield changes and -0.164 for DXY returns.
For the 32 full post-ETF months from February 2024 through September 2026, those figures were +0.207, +0.126 and +0.002, respectively. Both yield relationships turn positive in the later monthly sample, while the dollar relationship approaches zero. With only 32 observations, those shifts do not establish a lasting change.
Monthly figures use the last common observation date in each month, excluding October’s incomplete month. The change across frequencies limits any broad conclusion from the daily results, including claims that ETFs insulated Bitcoin from macro conditions. These correlations describe co-movement and do not establish causation or predict future returns.
S&P Global’s pre-ETF research also found that crypto’s relationship with interest rates varied over time and did not establish monetary-policy causality. Its different crypto and rate measures make its coefficients unsuitable for direct comparison here.
Yields near 5.3% can make the competition for capital more demanding. Nominal yields, real yields and DXY provide context for assessing Bitcoin’s appeal.
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