Loading market view
Loading market view
Loading correlations
Correlation
of values
-38%
In sync
of periods
54%
History
daysdays · through 2026-05-15
7,864
These move opposite each other about 54% of the time
Their swing sizes only faintly mirror each other (~15% of the pattern is shared).
Roughly random — these don't track each other in a meaningful way.
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 tighter
The recent pattern is tighter than its long-run baseline — keep an eye on whether this sticks.
Decouples in drawdowns
The relationship weakens when both prices are falling — don't count on this pair as a hedge under stress.
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)
54.0%
Headline metric
Movement correlation(i)
-38%
Based on values
95% CI
-40% → -36%
Likely range of correlation
Pipeline
Pipeline Summary
7,864 paired data points survived the daily window.
Raw input
11,325
7,868
Normalized
11,325
7,868
Prepared
11,325
7,868
Aligned
7,864
7,864
Invalid removed
R²(i)
14.7%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
7,864
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
-38%
No shift — both series at their actual dates.
7,864 overlapping points at this shift
Baseline
-38%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-38%
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
+36%
75 periods · Return correlation when both series rose
Both Falling
+11%
81 periods · Return correlation when both series fell
Diverging
-26%
93 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
3,465
A: 3461 / B: 4
Series A
USD/CNY Exchange Rate
DEXCHUS
FRED · 11,325 raw → 11,325 prepared
Series B
USD/BRL Exchange Rate
DEXBZUS
FRED · 7,868 raw → 7,868 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
15
Estimated crossover points between normalized spreads.
Slope
-0.6819
Linear regression slope.
Intercept
7.8790
Linear regression intercept.
Saved 2 weeks ago · ID: fred-dexbzus_fred-dexchus_daily_5y