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Stellar (XLM) vs Fed Funds Rate
Correlation
of % moves
-19%
In sync
of periods
70%
History
monthsmonths · through 2026-04
24
These move in the same direction about 70% of the time
Their swing sizes only faintly mirror each other (~4% of the pattern is shared).
A faint pattern — interesting as colour, not strong enough to act on alone.
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.
XLM moves ~12 months before Fed Funds Rate
Watch XLM for an early read on Fed Funds Rate.
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)
70.0%
Headline metric
Movement correlation(i)
-19%
Based on % moves
95% CI
-56% → +24%
Pipeline
Pipeline Summary
24 paired data points survived the monthly window.
Raw input
729
862
Normalized
729
862
Prepared
25
862
Aligned
24
24
Invalid removed
Likely range of correlation
R²(i)
3.6%
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
+12 months
Correlation at this shift
-84%
+65% stronger than no-shift baseline
Fed Funds Rate shifted 12 months earlier. Reads: "Does Stellar (XLM) today line up with Fed Funds Rate 12 months from now?"
11 overlapping points at this shift
Baseline
-19%
No-shift correlation, matching the main time-series chart above.
Peak shift
+12 months
-84%
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
N/A
0 periods · Return correlation when both series rose
Both Falling
-9%
7 periods · Return correlation when both series fell
Diverging
-67%
16 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
839
A: 1 / B: 838
Series A
Stellar (XLM)
XLM
Crypto · 729 raw → 25 prepared
Series B
Fed Funds Rate
FEDFUNDS
FRED · 862 raw → 862 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
1
Estimated crossover points between normalized spreads.
Slope
-0.0140
Linear regression slope.
Intercept
-0.0163
Linear regression intercept.
Saved 3 weeks ago · ID: crypto-xlm_fred-fedfunds_monthly_5y