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Correlation
of % moves
+17%
In sync
of periods
59%
History
daysdays · through 2026-05-28
500
These move in the same direction about 59% of the time
Their swing sizes only faintly line up (~3% of the pattern is shared).
A real but noisy link — useful as context, risky as a standalone signal.
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 looser
The recent pattern is looser than its long-run baseline — keep an eye on whether this sticks.
Holds in both up and down markets
The relationship is similar whether prices are rising or falling — reliable in both directions.
Rock solid
The relationship barely changes from period to period — treat it as a reliable signal.
Advanced
Statistics
In sync(i)
58.6%
Headline metric
Movement correlation(i)
+17%
Based on % moves
95% CI
+8% → +26%
Likely range of correlation
Pipeline
Pipeline Summary
500 paired data points survived the daily window.
Raw input
1,254
729
Normalized
1,254
729
Prepared
1,254
729
Aligned
500
500
Invalid removed
R²(i)
2.9%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
500
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
No shift
Correlation at this shift
+17%
No shift — both series at their actual dates.
499 overlapping points at this shift
Baseline
+17%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
+17%
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
-3%
71 periods · Return correlation when both series rose
Both Falling
+1%
73 periods · Return correlation when both series fell
Diverging
-43%
105 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
983
A: 754 / B: 229
Series A
Marriott International Class A Common Stock (MAR)
MAR
Stock · 1,254 raw → 1,254 prepared
Series B
Stellar (XLM)
XLM
Crypto · 729 raw → 729 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
17
Estimated crossover points between normalized spreads.
Slope
0.5621
Linear regression slope.
Intercept
0.0007
Linear regression intercept.
Saved 3 weeks ago · ID: crypto-xlm_stock-mar_daily_5y