SeriesMagCorrSyncOverlapThrough
Correlation
+70%
of values
In sync
59%
of periods
History
11,232
days · through 2026-04-24
These move in the same direction about 59% of the time
When one swings, the other often swings by a similar amount (~49% of the pattern is shared).
A real but noisy link — useful as context, risky as a standalone signal.
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 looser
The recent pattern is looser than its long-run baseline — keep an eye on whether this sticks.
Tighter in drawdowns
The relationship is stronger when both prices are falling than when both are rising — typical risk-off behaviour.
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)
59.3%
Headline metric
Movement correlation(i)
+70%
Based on values
95% CI
+69% → +71%
Likely range of correlation
Pipeline
Pipeline Summary
11,232 paired data points survived the daily window.
Raw input
11,310
11,289
Normalized
11,310
11,289
Prepared
11,310
11,289
Aligned
11,232
11,232
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)
48.7%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
11,232
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
+70%
No shift — both series at their actual dates.
11,232 overlapping points at this shift
Baseline
+70%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
+70%
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
-13%
61 periods · Return correlation when both series rose
Both Falling
+37%
73 periods · Return correlation when both series fell
Diverging
-8%
115 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
135
A: 78 / B: 57
Series A
USD/CNY Exchange Rate
DEXCHUS
FRED · 11,310 raw → 11,310 prepared
Series B
USD/THB Exchange Rate
DEXTHUS
FRED · 11,289 raw → 11,289 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
95
Estimated crossover points between normalized spreads.
Slope
2.1635
Linear regression slope.
Intercept
18.0138
Linear regression intercept.
Saved yesterday · ID: fred-dexchus_fred-dexthus_5y