SeriesMagCorrSyncOverlapThrough
Correlation
of values
-78%
In sync
of periods
46%
History
monthsmonths · through 2026-03
663
These move opposite each other about 46% of the time
When one swings, the other often swings by a similar amount in the opposite direction (~61% of the pattern is shared).
Roughly random — these don't track each other in a meaningful way.
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
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.
Explore
Advanced
Statistics
In sync(i)
46.0%
Headline metric
Movement correlation(i)
-78%
Based on values
95% CI
-81% → -75%
Likely range of correlation
Pipeline
Pipeline Summary
663 paired data points survived the monthly window.
Raw input
879
13,870
Normalized
879
13,870
Prepared
879
664
Aligned
663
663
Invalid removed
R²(i)
61.3%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
663
Robust
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: -18 to 18 months.
Selected shift
No shift
Correlation at this shift
-78%
No shift — both series at their actual dates.
663 overlapping points at this shift
Baseline
-78%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-78%
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
-9%
75 periods · Return correlation when both series rose
Both Falling
+24%
52 periods · Return correlation when both series fell
Diverging
-47%
122 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
217
A: 216 / B: 1
Series A
CPI: Used Cars & Trucks
CUSR0000SETA02
FRED · 879 raw → 879 prepared
Series B
GBP/USD Exchange Rate
DEXUSUK
FRED · 13,870 raw → 664 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
3
Estimated crossover points between normalized spreads.
Slope
-0.0060
Linear regression slope.
Intercept
2.4154
Linear regression intercept.
Saved 2 days ago · ID: fred-cusr0000seta02_fred-dexusuk_5y
Explore
Top 10 by absolute correlation
Ranked across both sides of this comparison using the same dense row format as the single-symbol correlations view.