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Correlation
of % moves
+26%
In sync
of periods
58%
History
daysdays · through 2026-07-20
1,253
These move in the same direction about 58% of the time
Their swing sizes only faintly line up (~7% of the pattern is shared).
A faint pattern — interesting as colour, not strong enough to act on alone.
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
Holds in both up and down markets
The relationship is similar whether prices are rising or falling — reliable in both directions.
AI Analysis
The 58% in-sync rate suggests that both Apple and Lyft are influenced by similar macroeconomic factors, particularly consumer spending trends and technological adoption in mobility services. The data confirms this link, showing a modest correlation that aligns with expectations around tech-sector dynamics and consumer behavior. Investors should closely monitor Apple’s earnings reports, as shifts in its performance may signal broader trends affecting Lyft. Not investment advice.
Advanced
Statistics
In sync(i)
58%
Headline metric
Movement correlation(i)
+26%
Based on % moves
95% CI
+21% → +31%
Likely range of correlation
Pipeline
Pipeline Summary
1,253 paired data points survived the daily window.
Raw input
1,253
1,253
Normalized
1,253
1,253
Prepared
1,253
1,253
Aligned
1,253
1,253
Invalid removed
R²(i)
7%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points(i)
1,252
Deep
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
+26%
No shift — both series at their actual dates.
1,252 overlapping points at this shift
Baseline
+26%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
+26%
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
+4%
57 periods · Return correlation when both series rose
Both Falling
-0%
46 periods · Return correlation when both series fell
Diverging
-38%
39 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
Apple Inc. (AAPL)
AAPL
Market cap 4.8T · 166,000 employees
Stock · 1,253 raw → 1,253 prepared
Series B
Lyft, Inc. Class A Common Stock (LYFT)
LYFT
Market cap 5.9B · 3,913 employees
Stock · 1,253 raw → 1,253 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
15
Estimated crossover points between normalized spreads.
Slope
0.6404
Linear regression slope.
Intercept
-0.0014
Linear regression intercept.
Saved last week · ID: stock-aapl-vs-stock-lyft-daily