SeriesMagCorrSyncOverlapThrough
Correlation
of values
-57%
In sync
of periods
54%
History
monthsmonths · through 2026-03
663
These move opposite each other about 54% of the time
Their swing sizes loosely mirror each other (~32% of the pattern is shared).
Roughly random — these don't track each other in a meaningful way.
Both lines start at the same point — easy to compare when growth rates are similar.
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)
53.8%
Headline metric
Movement correlation(i)
-57%
Based on values
95% CI
-61% → -51%
Likely range of correlation
Pipeline
Pipeline Summary
663 paired data points survived the monthly window.
Raw input
2,886
879
Normalized
2,886
879
Prepared
664
879
Aligned
663
663
Invalid removed
R²(i)
31.9%
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
-57%
No shift — both series at their actual dates.
663 overlapping points at this shift
Baseline
-57%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-57%
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
+14%
71 periods · Return correlation when both series rose
Both Falling
-14%
61 periods · Return correlation when both series fell
Diverging
-15%
117 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
217
A: 1 / B: 216
Series A
Chicago Financial Conditions
NFCI
FRED · 2,886 raw → 664 prepared
Series B
CPI: Used Cars & Trucks
CUSR0000SETA02
FRED · 879 raw → 879 prepared
Sign agreement
29.6%
How often both values share the same sign.
Zero crossings
3
Estimated crossover points between normalized spreads.
Slope
-24.4509
Linear regression slope.
Intercept
123.4343
Linear regression intercept.
Saved 2 days ago · ID: fred-cusr0000seta02_fred-nfci_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.