SeriesMagCorrOverlapThrough
Overview
Relationship
These move opposite each other about 55% of the time
A real but noisy link — useful as context, risky as a standalone signal.
Read
When one moves up, the other tends to move down.
The saved window keeps correlation, overlap, alignment, and freshness anchored to the same computed record.
What to Watch
Unusual right now
Recent correlation (+57%) is 4.0σ from the long-run average of -64% — pair is behaving differently than usual.
Tighter in drawdowns
Pair moves more tightly when both fall (+30%) than when both rise (-0%) — typical risk-off behaviour.
Regime-dependent
The correlation has flipped sign across time windows — not reliable as a standalone signal.
Time Series
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
-64%
No shift — both series at their actual dates.
1,255 overlapping points at this shift
Baseline
-64%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-64%
A non-zero peak suggests one series lines up better when shifted against the other.
Deep Dive
Stability
How the correlation evolves over time. A stable line means the relationship is reliable; large swings signal regime-dependent behavior.
Corr
-64%
Pearson correlation
95% CI
-67% → -61%
Likely range
R²
41.1%
Variance explained
Trend agreement
55.1%
Same-direction moves
Significance
p < 0.001
Statistical confidence
Data points
1,255
Deep
Pipeline
Pipeline Summary
1,255 paired data points survived the daily window.
Raw input
1,255
1,255
Normalized
1,255
1,255
Prepared
1,255
1,255
Aligned
1,255
1,255
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.
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
-0%
87 periods · Return correlation when both series rose
Both Falling
+30%
77 periods · Return correlation when both series fell
Diverging
-58%
85 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
0
A: 0 / B: 0
Series A
ConocoPhillips
COP
Market cap 148.3B · 9,900 employees
Stock · 1,255 raw → 1,255 prepared
Series B
Southwest Airlines Co.
LUV
Market cap 18.7B · 73,401 employees
Stock · 1,255 raw → 1,255 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
35
Estimated crossover points between normalized spreads.
Slope
-0.2874
Linear regression slope.
Intercept
65.2073
Linear regression intercept.
Saved 2 hours ago · ID: stock-cop_stock-luv_5y