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Shiba Inu (SHIB) vs CPI: Used Cars & Trucks
Correlation
of % moves
+27%
In sync
of periods
65%
History
monthsmonths · through 2026-04
24
These move in the same direction about 65% of the time
Their swing sizes only faintly line up (~7% 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
Slipping looser
The recent pattern is looser than its long-run baseline — keep an eye on whether this sticks.
CPI: Used Cars & Trucks moves ~13 months before SHIB
Watch CPI: Used Cars & Trucks for an early read on SHIB.
Decouples in drawdowns
The relationship weakens when both prices are falling — don't count on this pair as a hedge under stress.
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)
65.2%
Headline metric
Movement correlation(i)
+27%
Based on % moves
95% CI
-16% → +61%
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)
7.3%
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
-71%
+44% stronger than no-shift baseline
CPI: Used Cars & Trucks shifted 13 months later. Reads: "Does Shiba Inu (SHIB) today line up with CPI: Used Cars & Trucks 13 months ago?"
10 overlapping points at this shift
Baseline
+27%
No-shift correlation, matching the main time-series chart above.
Peak shift
-13 months
-71%
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
+91%
5 periods · Return correlation when both series rose
Both Falling
+70%
10 periods · Return correlation when both series fell
Diverging
-72%
8 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
Shiba Inu (SHIB)
SHIB
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
0.0159
Linear regression slope.
Intercept
0.0008
Linear regression intercept.
Saved 3 weeks ago · ID: crypto-shib_fred-cusr0000seta02_monthly_5y