Loading market view
Loading market view
Loading correlations
Correlation
of values
+77%
In sync
of periods
52%
History
monthsmonths · through 2026-05
178
These move in the same direction about 52% of the time
When one swings, the other often swings by a similar amount (~59% 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
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)
52%
Headline metric
Movement correlation(i)
+77%
Based on values
95% CI
N/A
Likely range
Pipeline
Pipeline Summary
178 paired data points survived the monthly window.
Raw input
3,277
881
Normalized
3,277
881
Prepared
180
881
Aligned
178
178
Invalid removed
59%
Variance explained
Significance
N/A
Statistical confidence
Data points(i)
178
Usable
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
+77%
No shift — both series at their actual dates.
178 overlapping points at this shift
Baseline
+77%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
+77%
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
+55%
35 periods · Return correlation when both series rose
Both Falling
+20%
49 periods · Return correlation when both series fell
Diverging
-59%
78 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
705
A: 2 / B: 703
Series A
Overnight Reverse Repo
RRPONTSYD
FRED · 3,277 raw → 180 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
0.0276
Linear regression slope.
Intercept
149.1717
Linear regression intercept.
Saved 3 months ago · ID: fred-cusr0000seta02_fred-rrpontsyd_monthly_5y