SeriesMagCorrSyncOverlapThrough
Correlation
-83%
of values
In sync
50%
of periods
History
13,296
days · through 2026-04-24
These move opposite each other about 50% of the time
When one swings, the other often swings by a similar amount in the opposite direction (~69% of the pattern is shared).
Roughly random — these don't track each other in a meaningful way.
Time Series
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.
Advanced
Statistics
In sync(i)
49.6%
Headline metric
Movement correlation(i)
-83%
Based on values
95% CI
-83% → -82%
Likely range of correlation
Pipeline
Pipeline Summary
13,296 paired data points survived the daily window.
Raw input
16,067
13,362
Normalized
16,067
13,362
Prepared
16,067
13,362
Aligned
13,296
13,296
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)
68.7%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
13,296
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
-83%
No shift — both series at their actual dates.
13,296 overlapping points at this shift
Baseline
-83%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-83%
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
-19%
85 periods · Return correlation when both series rose
Both Falling
-31%
77 periods · Return correlation when both series fell
Diverging
-32%
87 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
2,837
A: 2771 / B: 66
Series A
10Y Treasury Yield
DGS10
FRED · 16,067 raw → 16,067 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
1
Estimated crossover points between normalized spreads.
Slope
-6.4025
Linear regression slope.
Intercept
76.4998
Linear regression intercept.
Saved 3 days ago · ID: fred-dexinus_fred-dgs10_5y