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Stellar (XLM) vs CPI: Used Cars & Trucks
Correlation
of % moves
+41%
In sync
of periods
64%
History
monthsmonths · through 2026-05
23
These move in the same direction about 64% of the time
Their swing sizes loosely line up (~17% 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
Slipping looser
The recent pattern is looser than its long-run baseline — keep an eye on whether this sticks.
CPI: Used Cars & Trucks moves ~12 months before XLM
Watch CPI: Used Cars & Trucks for an early read on XLM.
Tighter in drawdowns
The relationship is stronger when both prices are falling than when both are rising — typical risk-off behaviour.
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)
64%
Headline metric
Movement correlation(i)
+41%
Based on % moves
95% CI
N/A
Likely range
Pipeline
Pipeline Summary
23 paired data points survived the monthly window.
Raw input
729
881
Normalized
729
881
Prepared
25
881
Aligned
23
23
Invalid removed
17%
Variance explained
Significance
N/A
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
-12 months
Correlation at this shift
-64%
+24% stronger than no-shift baseline
CPI: Used Cars & Trucks shifted 12 months later. Reads: "Does Stellar (XLM) today line up with CPI: Used Cars & Trucks 12 months ago?"
10 overlapping points at this shift
Baseline
+41%
No-shift correlation, matching the main time-series chart above.
Peak shift
-12 months
-64%
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
+10%
6 periods · Return correlation when both series rose
Both Falling
-42%
8 periods · Return correlation when both series fell
Diverging
-48%
8 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
860
A: 2 / B: 858
Series A
Stellar (XLM)
XLM
Crypto · 729 raw → 25 prepared
Series B
CPI: Used Cars & Trucks
CUSR0000SETA02
FRED · 881 raw → 881 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
2
Estimated crossover points between normalized spreads.
Slope
0.0120
Linear regression slope.
Intercept
0.0009
Linear regression intercept.
Saved 3 months ago · ID: crypto-xlm_fred-cusr0000seta02_monthly_5y