SeriesMagCorrSyncOverlapThrough
Correlation
+97%
of values
In sync
67%
of periods
History
639
months · through 2026-03
These move in the same direction about 67% of the time
When one swings, the other almost always swings by a closely matched amount (~94% of the pattern is shared).
Strong enough to use as a signal — check the stability and regime notes below before relying on it.
Time Series
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
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)
66.8%
Headline metric
Movement correlation(i)
+97%
Based on values
95% CI
+96% → +97%
Likely range of correlation
Pipeline
Pipeline Summary
639 paired data points survived the monthly window.
Raw input
807
13,010
Normalized
807
13,010
Prepared
807
640
Aligned
639
639
Invalid removed
Explore
Top 5 by absolute correlation
Ranked across both sides of this comparison using the same dense row format as the single-symbol correlations view.
R²(i)
93.6%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
639
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
+97%
No shift — both series at their actual dates.
639 overlapping points at this shift
Baseline
+97%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
+97%
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
+8%
175 periods · Return correlation when both series rose
Both Falling
+95%
5 periods · Return correlation when both series fell
Diverging
-43%
69 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
169
A: 168 / B: 1
Series A
M2SL
FRED · 807 raw → 807 prepared
Series B
DEXSLUS
FRED · 13,010 raw → 640 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
1
Estimated crossover points between normalized spreads.
Slope
0.0129
Linear regression slope.
Intercept
0.5310
Linear regression intercept.
Saved 5 hours ago · ID: fred-dexslus_fred-m2sl_5y