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Correlation
of % moves
+39%
In sync
of periods
61%
History
monthsmonths · through 2026-04
24
These move in the same direction about 61% of the time
Their swing sizes only faintly line up (~15% of the pattern is shared).
A real but noisy link — useful as context, risky as a standalone signal.
On a log scale so equal % moves take equal vertical space — best when one series has grown much faster than the other.
What to Watch
Unusual right now
Recently looser than usual — the pair is behaving differently than its long-run pattern.
XRP moves ~13 months before CPI: Used Cars & Trucks
Watch XRP for an early read on CPI: Used Cars & Trucks.
Holds in both up and down markets
The relationship is similar whether prices are rising or falling — reliable in both directions.
Flips between sync and inverse
Sometimes the two move together, sometimes opposite. Don't treat this as a stable signal.
Advanced
Statistics
In sync(i)
60.9%
Headline metric
Movement correlation(i)
+39%
Based on % moves
95% CI
-2% → +69%
Likely range of correlation
Pipeline
Pipeline Summary
24 paired data points survived the monthly window.
Raw input
729
880
Normalized
729
880
Prepared
25
880
Aligned
24
24
Invalid removed
R²(i)
15.4%
Variance explained
Significance
n.s.
Statistical confidence
Data points
24
Limited
Time-Shifted Correlation
See how correlation changes when one series is offset in time. A taller bar at a non-zero shift means the two move together better when one leads the other — that's a potential lead/lag signal.
Correlation by shift
Click a bar to inspect. Range: -13 to 13 months.
Selected shift
+13 months
Correlation at this shift
-81%
+41% stronger than no-shift baseline
CPI: Used Cars & Trucks shifted 13 months earlier. Reads: "Does XRP today line up with CPI: Used Cars & Trucks 13 months from now?"
10 overlapping points at this shift
Baseline
+39%
No-shift correlation, matching the main time-series chart above.
Peak shift
+13 months
-81%
A non-zero peak suggests one series lines up better when shifted against the other.
Stability
How the correlation evolves over time. A stable line means the relationship is reliable; large swings signal regime-dependent behavior.
Do They Crash Together?
How these series behave when markets are rising, falling, or diverging. A correlation that holds in drawdowns is very different from one that only works in rallies.
Both Rising
-13%
5 periods · Return correlation when both series rose
Both Falling
-5%
9 periods · Return correlation when both series fell
Diverging
-55%
9 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
857
A: 1 / B: 856
Series A
XRP
XRP
Crypto · 729 raw → 25 prepared
Series B
CPI: Used Cars & Trucks
CUSR0000SETA02
FRED · 880 raw → 880 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
2
Estimated crossover points between normalized spreads.
Slope
0.0145
Linear regression slope.
Intercept
-0.0008
Linear regression intercept.
Saved 3 weeks ago · ID: crypto-xrp_fred-cusr0000seta02_monthly_5y