Loading market view
Loading market view
Loading correlations
Correlation
of values
-66%
In sync
of periods
—
History
monthsmonths · through 2026-04
270
These move together
When one swings, the other often swings by a similar amount in the opposite direction (~43% 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.
Advanced
Statistics
In sync(i)
N/A
Headline metric
Movement correlation(i)
-66%
Based on values
95% CI
-72% → -58%
Pipeline
Pipeline Summary
270 paired data points survived the monthly window.
Raw input
811
270
Normalized
811
270
Prepared
811
270
Aligned
270
270
Invalid removed
Likely range of correlation
R²(i)
43%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points(i)
270
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: 0 to 0 months.
Selected shift
No shift
Correlation at this shift
-66%
No shift — both series at their actual dates.
270 overlapping points at this shift
Baseline
-66%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-66%
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.
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
541
A: 541 / B: 0
Series A
M2 Money Supply
M2SL
FRED · 811 raw → 811 prepared
Series B
Velocity of M2 Money Stock
M2V
FRED · 270 raw → 270 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
1
Estimated crossover points between normalized spreads.
Slope
-0.0000
Linear regression slope.
Intercept
1.8975
Linear regression intercept.
Saved 4 months ago · ID: fred-m2sl_fred-m2v_monthly_5y