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SOL vs FUS Core CPISolana (SOL) vs US Core CPI
Correlation
of % moves
+29%
In sync
of periods
48%
History
monthsmonths · through 2026-04
23
These move in the same direction about 48% of the time
Their swing sizes only faintly line up (~8% 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
Unusual right now
Recently looser than usual — the pair is behaving differently than its long-run pattern.
US Core CPI moves ~5 months before SOL
Watch US Core CPI for an early read on SOL.
Swings around
Their relationship swings around — sometimes tight, sometimes loose. Don't trust a single snapshot.
Advanced
Statistics
In sync(i)
47.6%
Headline metric
Movement correlation(i)
+29%
Based on % moves
95% CI
-16% → +64%
Pipeline
Pipeline Summary
23 paired data points survived the monthly window.
Raw input
729
831
Normalized
729
831
Prepared
25
831
Aligned
23
23
Invalid removed
Likely range of correlation
R²(i)
8.3%
Variance explained
Significance
n.s.
Statistical confidence
Data points
23
Limited
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 months.
Selected shift
-5 months
Correlation at this shift
-66%
+37% stronger than no-shift baseline
US Core CPI shifted 5 months later. Reads: "Does Solana (SOL) today line up with US Core CPI 5 months ago?"
11 overlapping points at this shift
Baseline
+29%
No-shift correlation, matching the main time-series chart above.
Peak shift
-5 months
-66%
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%
10 periods · Return correlation when both series rose
Both Falling
N/A
0 periods · Return correlation when both series fell
Diverging
+49%
11 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
810
A: 2 / B: 808
Series A
Solana (SOL)
SOL
Crypto · 729 raw → 25 prepared
Series B
US Core CPI
CPILFESL
FRED · 831 raw → 831 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
7
Estimated crossover points between normalized spreads.
Slope
0.0014
Linear regression slope.
Intercept
0.0025
Linear regression intercept.
Saved 3 weeks ago · ID: crypto-sol_fred-cpilfesl_monthly_5y