SeriesMagCorrSyncOverlapThrough
Correlation
-61%
of % moves
In sync
33%
of periods
History
1,027
days · through 2026-05-04
These move opposite each other about 33% of the time
Their swing sizes loosely mirror each other (~38% 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
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.
Rock solid
The relationship barely changes from period to period — treat it as a reliable signal.
Advanced
Statistics
In sync(i)
33.0%
Headline metric
Movement correlation(i)
-61%
Based on % moves
95% CI
-65% → -57%
Likely range of correlation
Pipeline
Pipeline Summary
1,027 paired data points survived the daily window.
Raw input
1,255
1,027
Normalized
1,255
1,027
Prepared
1,255
1,027
Aligned
1,027
1,027
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)
37.5%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
1,027
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
-61%
No shift — both series at their actual dates.
1,027 overlapping points at this shift
Baseline
-61%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-61%
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
-26%
25 periods · Return correlation when both series rose
Both Falling
-4%
45 periods · Return correlation when both series fell
Diverging
-36%
179 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
228
A: 228 / B: 0
Series A
AAPL
Stock · 1,255 raw → 1,255 prepared
Series B
UVIX
Stock · 1,027 raw → 1,027 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
1
Estimated crossover points between normalized spreads.
Slope
-40.7410
Linear regression slope.
Intercept
9564.8707
Linear regression intercept.
Saved 2 days ago · ID: stock-aapl_stock-uvix_5y