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Correlation
of % moves
+60%
In sync
of periods
74%
History
daysdays · through 2026-09-04
1,253
These move in the same direction about 74% of the time
Their swing sizes loosely line up (~36% of the pattern is shared).
Strong enough to use as a signal — check the stability and regime notes below before relying on it.
Both lines start at the same point — easy to compare when growth rates are similar.
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
Lyft and Uber are closely linked due to their shared market dynamics and competitive strategies in the ride-sharing sector, influencing pricing and user acquisition. The data shows a strong 73% in-sync rate, confirming that shifts in one company's stock often reflect similar movements in the other, suggesting they are responding to common external factors. Going forward, investors should closely monitor changes in regulatory policies affecting the gig economy, as these could significantly impact both companies' stock performance. Not investment advice.
Advanced
Statistics
In sync(i)
74%
Headline metric
Movement correlation(i)
+60%
Based on % moves
95% CI
+56% → +63%
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)
36%
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
+60%
No shift — both series at their actual dates.
1,252 overlapping points at this shift
Baseline
+60%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
+60%
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
+30%
69 periods · Return correlation when both series rose
Both Falling
+27%
51 periods · Return correlation when both series fell
Diverging
-36%
23 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
Uber Technologies, Inc. (UBER)
UBER
Stock · 1,253 raw → 1,253 prepared
Series B
Lyft, Inc. Class A Common Stock (LYFT)
LYFT
Stock · 1,253 raw → 1,253 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
1
Estimated crossover points between normalized spreads.
Slope
0.9091
Linear regression slope.
Intercept
-0.0013
Linear regression intercept.
Saved 2 months ago · ID: stock-lyft-vs-stock-uber-daily