SeriesMagCorrSyncOverlapThrough
Correlation
-77%
of values
In sync
47%
of periods
History
8,103
days · through 2026-04-24
These move opposite each other about 47% of the time
When one swings, the other often swings by a similar amount in the opposite direction (~60% of the pattern is shared).
Roughly random — these don't track each other in a meaningful way.
Time Series
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.
Swings around
Their relationship swings around — sometimes tight, sometimes loose. Don't trust a single snapshot.
Advanced
Statistics
In sync(i)
47.4%
Headline metric
Movement correlation(i)
-77%
Based on values
95% CI
-78% → -76%
Likely range of correlation
Pipeline
Pipeline Summary
8,103 paired data points survived the daily window.
Raw input
16,067
8,138
Normalized
16,067
8,138
Prepared
16,067
8,138
Aligned
8,103
8,103
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)
59.8%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
8,103
Deep
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: -6 to 6 days.
Selected shift
No shift
Correlation at this shift
-77%
No shift — both series at their actual dates.
8,103 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
-7%
75 periods · Return correlation when both series rose
Both Falling
-19%
88 periods · Return correlation when both series fell
Diverging
-47%
86 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
7,999
A: 7964 / B: 35
Series A
10Y Treasury Yield
DGS10
FRED · 16,067 raw → 16,067 prepared
Series B
USD/MXN Exchange Rate
DEXMXUS
FRED · 8,138 raw → 8,138 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
35
Estimated crossover points between normalized spreads.
Slope
-2.2128
Linear regression slope.
Intercept
21.8703
Linear regression intercept.
Saved 3 days ago · ID: fred-dexmxus_fred-dgs10_5y