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Correlation
of % moves
+29%
In sync
of periods
58%
History
monthsmonths · through 2026-04
60
These move in the same direction about 58% of the time
Their swing sizes only faintly line up (~8% of the pattern is shared).
A faint pattern — interesting as colour, not strong enough to act on alone.
Both lines start at the same point — easy to compare when growth rates are similar.
What to Watch
Retail Sales moves ~18 months before CQP
Watch Retail Sales for an early read on CQP.
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)
57.6%
Headline metric
Movement correlation(i)
+29%
Based on % moves
95% CI
+3% → +51%
Likely range of correlation
Pipeline
Pipeline Summary
60 paired data points survived the monthly window.
Raw input
1,255
412
Normalized
1,255
412
Prepared
61
412
Aligned
60
60
Invalid removed
R²(i)
8.3%
Variance explained
Significance
p < 0.05
Statistical confidence
Data points
60
Thin
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: -18 to 18 months.
Selected shift
-18 months
Correlation at this shift
+42%
+13% stronger than no-shift baseline
Retail Sales shifted 18 months later. Reads: "Does CQP today line up with Retail Sales 18 months ago?"
41 overlapping points at this shift
Baseline
+29%
No-shift correlation, matching the main time-series chart above.
Peak shift
-18 months
+42%
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
+9%
21 periods · Return correlation when both series rose
Both Falling
+58%
13 periods · Return correlation when both series fell
Diverging
-52%
25 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
353
A: 1 / B: 352
Series A
CQP
Stock · 1,255 raw → 61 prepared
Series B
Retail Sales
RSAFS
FRED · 412 raw → 412 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
3
Estimated crossover points between normalized spreads.
Slope
0.0543
Linear regression slope.
Intercept
0.0034
Linear regression intercept.
Saved 2 weeks ago · ID: fred-rsafs_stock-cqp_monthly_5y