SeriesMagCorrSyncOverlapThrough
Correlation
-40%
of values
In sync
54%
of periods
History
2,005
days · through 2026-04-24
These move opposite each other about 54% of the time
Their swing sizes loosely mirror each other (~16% of the pattern is shared).
Roughly random — these don't track each other in a meaningful way.
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
Unusual right now
Recently tighter than usual — the pair is behaving differently than its long-run pattern.
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.
Advanced
Statistics
In sync(i)
53.7%
Headline metric
Movement correlation(i)
-40%
Based on values
95% CI
-44% → -37%
Likely range of correlation
Pipeline
Pipeline Summary
2,005 paired data points survived the daily window.
Raw input
2,018
11,369
Normalized
2,018
11,369
Prepared
2,018
11,369
Aligned
2,005
2,005
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)
16.2%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
2,005
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
-40%
No shift — both series at their actual dates.
2,005 overlapping points at this shift
Baseline
-40%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-40%
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
-23%
56 periods · Return correlation when both series rose
Both Falling
-25%
63 periods · Return correlation when both series fell
Diverging
-26%
130 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
9,377
A: 13 / B: 9364
Series A
Secured Overnight Financing Rate
SOFR
FRED · 2,018 raw → 2,018 prepared
Series B
USD/SGD Exchange Rate
DEXSIUS
FRED · 11,369 raw → 11,369 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
9
Estimated crossover points between normalized spreads.
Slope
-0.0070
Linear regression slope.
Intercept
1.3667
Linear regression intercept.
Saved yesterday · ID: fred-dexsius_fred-sofr_5y