SeriesMagCorrSyncOverlapThrough
Correlation
-92%
of % moves
In sync
41%
of periods
History
261
weeks · through 2026-18
These move opposite each other about 41% of the time
When one swings, the other almost always swings by a closely matched amount in the opposite direction (~84% of the pattern is shared).
A real but noisy link — useful as context, risky as a standalone signal.
Time Series
Both lines start at the same point — easy to compare when growth rates are similar.
What to Watch
Slipping tighter
The recent pattern is tighter than its long-run baseline — keep an eye on whether this sticks.
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)
40.6%
Headline metric
Movement correlation(i)
-92%
Based on % moves
95% CI
-94% → -90%
Likely range of correlation
Pipeline
Pipeline Summary
261 paired data points survived the weekly window.
Raw input
1,255
2,875
Normalized
1,255
2,875
Prepared
262
2,875
Aligned
261
261
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)
84.4%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
261
Robust
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: -12 to 12 weeks.
Selected shift
No shift
Correlation at this shift
-92%
No shift — both series at their actual dates.
261 overlapping points at this shift
Baseline
-92%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-92%
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
-16%
47 periods · Return correlation when both series rose
Both Falling
-19%
54 periods · Return correlation when both series fell
Diverging
-63%
148 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
2,615
A: 1 / B: 2614
Series A
YETI
Stock · 1,255 raw → 262 prepared
Series B
30Y Mortgage Rate
MORTGAGE30US
FRED · 2,875 raw → 2,875 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
9
Estimated crossover points between normalized spreads.
Slope
-0.0664
Linear regression slope.
Intercept
9.1063
Linear regression intercept.
Saved yesterday · ID: fred-mortgage30us_stock-yeti_5y