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Solana (SOL) vs Nonfarm Payrolls
Correlation
of % moves
+31%
In sync
of periods
52%
History
monthsmonths · through 2026-04
24
These move in the same direction about 52% of the time
Their swing sizes only faintly line up (~10% 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
Slipping tighter
The recent pattern is tighter than its long-run baseline — keep an eye on whether this sticks.
SOL moves ~8 months before Nonfarm Payrolls
Watch SOL for an early read on Nonfarm Payrolls.
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)
52.2%
Headline metric
Movement correlation(i)
+31%
Based on % moves
95% CI
-12% → +64%
Pipeline
Pipeline Summary
24 paired data points survived the monthly window.
Raw input
729
1,048
Normalized
729
1,048
Prepared
25
1,048
Aligned
24
24
Invalid removed
Likely range of correlation
R²(i)
9.7%
Variance explained
Significance
n.s.
Statistical confidence
Data points
24
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: -13 to 13 months.
Selected shift
+8 months
Correlation at this shift
+51%
+19% stronger than no-shift baseline
Nonfarm Payrolls shifted 8 months earlier. Reads: "Does Solana (SOL) today line up with Nonfarm Payrolls 8 months from now?"
15 overlapping points at this shift
Baseline
+31%
No-shift correlation, matching the main time-series chart above.
Peak shift
+8 months
+51%
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
-22%
8 periods · Return correlation when both series rose
Both Falling
N/A
4 periods · Return correlation when both series fell
Diverging
-12%
11 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
1,025
A: 1 / B: 1024
Series A
Solana (SOL)
SOL
Crypto · 729 raw → 25 prepared
Series B
Nonfarm Payrolls
PAYEMS
FRED · 1,048 raw → 1,048 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
1
Estimated crossover points between normalized spreads.
Slope
0.0011
Linear regression slope.
Intercept
0.0003
Linear regression intercept.
Saved 3 weeks ago · ID: crypto-sol_fred-payems_monthly_5y