SeriesMagCorrSyncOverlapThrough
Correlation
of values
-71%
In sync
of periods
66%
History
daysdays · through 2026-04-24
11,360
These move opposite each other about 66% of the time
When one swings, the other often swings by a similar amount in the opposite direction (~51% of the pattern is shared).
A faint pattern — interesting as colour, not strong enough to act on alone.
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
Slipping tighter
The recent pattern is tighter than its long-run baseline — keep an eye on whether this sticks.
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.
Explore
Advanced
Statistics
In sync(i)
66.4%
Headline metric
Movement correlation(i)
-71%
Based on values
95% CI
-72% → -70%
Likely range of correlation
Pipeline
Pipeline Summary
11,360 paired data points survived the daily window.
Raw input
11,613
11,369
Normalized
11,613
11,369
Prepared
11,613
11,369
Aligned
11,360
11,360
Invalid removed
R²(i)
50.8%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
11,360
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
-71%
No shift — both series at their actual dates.
11,360 overlapping points at this shift
Baseline
-71%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-71%
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%
94 periods · Return correlation when both series rose
Both Falling
+2%
96 periods · Return correlation when both series fell
Diverging
-25%
59 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
262
A: 253 / B: 9
Series A
USD/ZAR Exchange Rate
DEXSFUS
FRED · 11,613 raw → 11,613 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
79
Estimated crossover points between normalized spreads.
Slope
-0.0400
Linear regression slope.
Intercept
1.9215
Linear regression intercept.
Saved 4 days ago · ID: fred-dexsfus_fred-dexsius_5y
Explore
Top 10 by absolute correlation
Ranked across both sides of this comparison using the same dense row format as the single-symbol correlations view.