SeriesMagCorrSyncOverlapThrough
Correlation
-15%
of % moves
In sync
61%
of periods
History
285
days · through 2026-05-06
These move opposite each other about 61% of the time
Their swing sizes only faintly mirror each other (~2% of the pattern is shared).
A faint pattern — interesting as colour, not strong enough to act on alone.
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
Unusual right now
Recently tighter than usual — the pair is behaving differently than its long-run pattern.
SCHW moves ~6 days before NAGE
Watch SCHW for an early read on NAGE.
Holds in both up and down markets
The relationship is similar whether prices are rising or falling — reliable in both directions.
Mostly stable
The relationship drifts a little but stays in the same neighbourhood.
Advanced
Statistics
In sync(i)
61.1%
Headline metric
Movement correlation(i)
-15%
Based on % moves
95% CI
-26% → -3%
Likely range of correlation
Pipeline
Pipeline Summary
285 paired data points survived the daily window.
Raw input
1,255
285
Normalized
1,255
285
Prepared
1,255
285
Aligned
285
285
Invalid removed
Explore
R²(i)
2.1%
Variance explained
Significance
p < 0.05
Statistical confidence
Data points
285
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: -6 to 6 days.
Selected shift
+6 days
Correlation at this shift
-23%
+9% stronger than no-shift baseline
NAGE shifted 6 days earlier. Reads: "Does Charles Schwab Corp. (SCHW) today line up with NAGE 6 days from now?"
279 overlapping points at this shift
Baseline
-15%
No-shift correlation, matching the main time-series chart above.
Peak shift
+6 days
-23%
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
+2%
84 periods · Return correlation when both series rose
Both Falling
+9%
68 periods · Return correlation when both series fell
Diverging
-46%
97 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
970
A: 970 / B: 0
Series A
SCHW
Stock · 1,255 raw → 1,255 prepared
Series B
NAGE
Stock · 285 raw → 285 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
11
Estimated crossover points between normalized spreads.
Slope
-0.0542
Linear regression slope.
Intercept
12.8000
Linear regression intercept.
Saved 2 hours ago · ID: stock-nage_stock-schw_5y
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Top 5 by absolute correlation
Ranked across both sides of this comparison using the same dense row format as the single-symbol correlations view.