SeriesMagCorrSyncOverlapThrough
Correlation
-51%
of % moves
In sync
48%
of periods
History
1,238
days · through 2026-04-24
These move opposite each other about 48% of the time
Their swing sizes loosely mirror each other (~26% 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.
Swings around
Their relationship swings around — sometimes tight, sometimes loose. Don't trust a single snapshot.
Advanced
Statistics
In sync(i)
47.5%
Headline metric
Movement correlation(i)
-51%
Based on % moves
95% CI
-55% → -47%
Likely range of correlation
Pipeline
Pipeline Summary
1,238 paired data points survived the daily window.
Raw input
1,255
13,848
Normalized
1,255
13,848
Prepared
1,255
13,848
Aligned
1,238
1,238
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)
26.0%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
1,238
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
-51%
No shift — both series at their actual dates.
1,238 overlapping points at this shift
Baseline
-51%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-51%
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
-9%
61 periods · Return correlation when both series rose
Both Falling
+19%
43 periods · Return correlation when both series fell
Diverging
-59%
145 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
12,627
A: 17 / B: 12610
Series A
GOOG
Stock · 1,255 raw → 1,255 prepared
Series B
USD/MYR Exchange Rate
DEXMAUS
FRED · 13,848 raw → 13,848 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
13
Estimated crossover points between normalized spreads.
Slope
-0.0019
Linear regression slope.
Intercept
4.6978
Linear regression intercept.
Saved 2 days ago · ID: fred-dexmaus_stock-goog_5y