Loading market view
Loading market view
Loading correlations
Correlation
of % moves
+45%
In sync
of periods
68%
History
monthsmonths · through 2026-07
23
These move in the same direction about 68% of the time
Their swing sizes loosely line up (~20% of the pattern is shared).
Strong enough to use as a signal — check the stability and regime notes below before relying on it.
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
XRP moves ~1 month 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)
68%
Headline metric
Movement correlation(i)
+45%
Based on % moves
95% CI
+3% → +73%
Likely range of correlation
Pipeline
Pipeline Summary
23 paired data points survived the monthly window.
Raw input
729
883
Normalized
729
883
Prepared
25
883
Aligned
23
23
Invalid removed
R²(i)
20%
Variance explained
Significance
p < 0.05
Statistical confidence
Data points(i)
22
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: -12 to 12 months.
Selected shift
+1 month
Correlation at this shift
+63%
+19% stronger than no-shift baseline
CPI: Used Cars & Trucks shifted 1 month earlier. Reads: "Does XRP today line up with CPI: Used Cars & Trucks 1 month from now?"
21 overlapping points at this shift
Baseline
+45%
No-shift correlation, matching the main time-series chart above.
Peak shift
+1 month
+63%
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
+29%
6 periods · Return correlation when both series rose
Both Falling
+33%
9 periods · Return correlation when both series fell
Diverging
-55%
7 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
862
A: 2 / B: 860
Series A
XRP
XRP
Crypto · 729 raw → 25 prepared
Series B
CPI: Used Cars & Trucks
CUSR0000SETA02
FRED · 883 raw → 883 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
2
Estimated crossover points between normalized spreads.
Slope
0.0139
Linear regression slope.
Intercept
0.0007
Linear regression intercept.
Saved 4 months ago · ID: crypto-xrp_fred-cusr0000seta02_monthly_5y