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Snowflake Inc. (SNOW) vs USD/CNY Exchange Rate
Correlation
of % moves
-12%
In sync
of periods
48%
History
daysdays · through 2026-05-15
1,239
These move opposite each other about 48% of the time
Their swing sizes only faintly mirror each other (~1% of the pattern is shared).
Roughly random — these don't track each other in a meaningful way.
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.
Flips between sync and inverse
Sometimes the two move together, sometimes opposite. Don't treat this as a stable signal.
Advanced
Statistics
In sync(i)
47.6%
Headline metric
Movement correlation(i)
-12%
Based on % moves
95% CI
-17% → -6%
Likely range of correlation
Pipeline
Pipeline Summary
1,239 paired data points survived the daily window.
Raw input
1,255
11,325
Normalized
1,255
11,325
Prepared
1,255
11,325
Aligned
1,239
1,239
Invalid removed
R²(i)
1.4%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
1,239
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
-12%
No shift — both series at their actual dates.
1,238 overlapping points at this shift
Baseline
-12%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-12%
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
-15%
58 periods · Return correlation when both series rose
Both Falling
-9%
57 periods · Return correlation when both series fell
Diverging
-63%
134 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
10,102
A: 16 / B: 10086
Series A
SNOW
Stock · 1,255 raw → 1,255 prepared
Series B
USD/CNY Exchange Rate
DEXCHUS
FRED · 11,325 raw → 11,325 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
23
Estimated crossover points between normalized spreads.
Slope
-0.0082
Linear regression slope.
Intercept
0.0000
Linear regression intercept.
Saved 2 weeks ago · ID: fred-dexchus_stock-snow_daily_5y