Correlation
of values
+48%
In sync
of periods
49%
History
weeksweeks · through 2026-09
543
These move in the same direction about 49% of the time
Their swing sizes loosely line up (~23% 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
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)
49.3%
Headline metric
Movement correlation(i)
+48%
Based on values
95% CI
+41% → +54%
Likely range of correlation
Pipeline
Pipeline Summary
543 paired data points survived the weekly window.
Raw input
603
11,310
Normalized
603
11,310
Prepared
603
2,365
Aligned
543
543
Invalid removed
R²(i)
23.1%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
543
Robust
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: -12 to 12 weeks.
Selected shift
No shift
Correlation at this shift
+48%
No shift — both series at their actual dates.
543 overlapping points at this shift
Baseline
+48%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
+48%
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
+4%
50 periods · Return correlation when both series rose
Both Falling
-3%
56 periods · Return correlation when both series fell
Diverging
-31%
143 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
1,882
A: 60 / B: 1822
Series A
Total Vehicle Sales
TOTALSA
FRED · 603 raw → 603 prepared
Series B
USD/CNY Exchange Rate
DEXCHUS
FRED · 11,310 raw → 2,365 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
76
Estimated crossover points between normalized spreads.
Slope
0.4289
Linear regression slope.
Intercept
-0.3065
Linear regression intercept.
Saved 2 days ago · ID: fred-dexchus_fred-totalsa_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.