SeriesMagCorrSyncOverlapThrough
Correlation
-72%
of % moves
In sync
48%
of periods
History
229
days · through 2026-04-24
These move opposite each other about 48% of the time
When one swings, the other often swings by a similar amount in the opposite direction (~52% 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.
Rock solid
The relationship barely changes from period to period — treat it as a reliable signal.
Advanced
Statistics
In sync(i)
47.8%
Headline metric
Movement correlation(i)
-72%
Based on % moves
95% CI
-78% → -65%
Likely range of correlation
Pipeline
Pipeline Summary
229 paired data points survived the daily window.
Raw input
237
13,010
Normalized
237
13,010
Prepared
237
13,010
Aligned
229
229
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)
51.7%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
229
Usable
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
-72%
No shift — both series at their actual dates.
229 overlapping points at this shift
Baseline
-72%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-72%
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
-8%
45 periods · Return correlation when both series rose
Both Falling
-14%
52 periods · Return correlation when both series fell
Diverging
-20%
131 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
12,789
A: 8 / B: 12781
Series A
NAKA
Stock · 237 raw → 237 prepared
Series B
USD/LKR Exchange Rate
DEXSLUS
FRED · 13,010 raw → 13,010 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
3
Estimated crossover points between normalized spreads.
Slope
-0.5866
Linear regression slope.
Intercept
308.4790
Linear regression intercept.
Saved yesterday · ID: fred-dexslus_stock-naka_5y