SeriesMagCorrOverlapThrough
These move together about 51% of the time
Strong positive
Strong enough to use as a signal — read the stability and regime notes below before relying on it.
Abbott manufactures and markets cardiovascular and diabetes devices, adult and pediatric nutritional products, diagnostic equipment and testing kits, and branded generic drugs. Products include pacemakers, implantable cardioverter defibrillators, neuromodulation devices, coronary stents, catheters, infant formula, nutritional liquids for adults, continuous glucose monitors, and immunoassays and point-of-care diagnostic equipment. Abbott derives roughly 60% of sales outside the United States.
Market cap 161.3B · 115,000 employees
XRP
XRP
Layer 1 · USD pair
What to Watch
Holds across regimes
Correlation is similar when markets rise (-2%) and fall (+4%) — reliable in both directions.
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
+73%
No shift — both series at their actual dates.
500 overlapping points at this shift
Time series with XRP at original dates
Indexed to 100 at start
Deep Dive
Stability
How the correlation evolves over time. A stable line means the relationship is reliable; large swings signal regime-dependent behavior.
Corr
+73%
Pearson correlation
95% CI
+68% → +77%
Likely range
R²
52.9%
Variance explained
Trend agreement
50.6%
Same-direction moves
Significance
p < 0.001
Statistical confidence
Data points
500
Robust
Pipeline
Pipeline Summary
500 paired data points survived the daily window.
Raw input
1,255
730
Normalized
1,255
730
Prepared
1,255
730
Aligned
500
500
Invalid removed
Explore
The strongest positive and inverse pairs we’ve saved for each side of this comparison — good jumping-off points if this result raised a question.
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%
61 periods · Return correlation when both series rose
Both Falling
+4%
74 periods · Return correlation when both series fell
Diverging
-50%
114 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
985
A: 755 / B: 230
Series A
Abbott Laboratories
ABT
Market cap 161.3B · 115,000 employees
Stock · 1,255 raw → 1,255 prepared
Series B
XRP
XRP
Crypto · 730 raw → 730 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
8
Estimated crossover points between normalized spreads.
Slope
0.0562
Linear regression slope.
Intercept
-4.9566
Linear regression intercept.
Saved 1 hour ago · ID: crypto-xrp_stock-abt_5y