SeriesMagCorrSyncOverlapThrough
Correlation
of values
-86%
In sync
of periods
49%
History
daysdays · through 2026-04-24
12,273
These move opposite each other about 49% of the time
When one swings, the other almost always swings by a closely matched amount in the opposite direction (~74% of the pattern is shared).
Roughly random — these don't track each other in a meaningful way.
Both lines start at the same point — easy to compare when growth rates are similar.
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.
Explore
Advanced
Statistics
In sync(i)
49.4%
Headline metric
Movement correlation(i)
-86%
Based on values
95% CI
-86% → -85%
Likely range of correlation
Pipeline
Pipeline Summary
12,273 paired data points survived the daily window.
Raw input
12,297
13,362
Normalized
12,297
13,362
Prepared
12,297
13,362
Aligned
12,273
12,273
Invalid removed
R²(i)
73.6%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
12,273
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
-86%
No shift — both series at their actual dates.
12,273 overlapping points at this shift
Baseline
-86%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-86%
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
-12%
88 periods · Return correlation when both series rose
Both Falling
-29%
68 periods · Return correlation when both series fell
Diverging
-32%
93 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
1,113
A: 24 / B: 1089
Series A
30Y Treasury Yield
DGS30
FRED · 12,297 raw → 12,297 prepared
Series B
USD/INR Exchange Rate
DEXINUS
FRED · 13,362 raw → 13,362 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
19
Estimated crossover points between normalized spreads.
Slope
-6.8527
Linear regression slope.
Intercept
83.3924
Linear regression intercept.
Saved 2 days ago · ID: fred-dexinus_fred-dgs30_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.