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Stellar (XLM) vs Nonfarm Payrolls
Correlation
of % moves
+41%
In sync
of periods
52%
History
monthsmonths · through 2026-06
24
These move in the same direction about 52% of the time
Their swing sizes loosely line up (~17% 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
Nonfarm Payrolls moves ~12 months before XLM
Watch Nonfarm Payrolls for an early read on XLM.
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%
Headline metric
Movement correlation(i)
+41%
Based on % moves
95% CI
N/A
Pipeline
Pipeline Summary
24 paired data points survived the monthly window.
Raw input
729
1,050
Normalized
729
1,050
Prepared
25
1,050
Aligned
24
24
Invalid removed
Likely range
R²(i)
17%
Variance explained
Significance
N/A
Statistical confidence
Data points(i)
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: -13 to 13 months.
Selected shift
-12 months
Correlation at this shift
-47%
+6% stronger than no-shift baseline
Nonfarm Payrolls shifted 12 months later. Reads: "Does Stellar (XLM) today line up with Nonfarm Payrolls 12 months ago?"
11 overlapping points at this shift
Baseline
+41%
No-shift correlation, matching the main time-series chart above.
Peak shift
-12 months
-47%
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
+19%
8 periods · Return correlation when both series rose
Both Falling
N/A
4 periods · Return correlation when both series fell
Diverging
-24%
11 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
1,027
A: 1 / B: 1026
Series A
Stellar (XLM)
XLM
Crypto · 729 raw → 25 prepared
Series B
Nonfarm Payrolls
PAYEMS
FRED · 1,050 raw → 1,050 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
1
Estimated crossover points between normalized spreads.
Slope
0.0009
Linear regression slope.
Intercept
0.0003
Linear regression intercept.
Saved 3 months ago · ID: crypto-xlm_fred-payems_monthly_5y