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Solana (SOL) vs Bank Reserves
Correlation
of % moves
-29%
In sync
of periods
45%
History
monthsmonths · through 2026-03
23
These move in the same direction about 45% of the time
Their swing sizes only faintly mirror each other (~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
Slipping tighter
The recent pattern is tighter than its long-run baseline — keep an eye on whether this sticks.
SOL moves ~7 months before Bank Reserves
Watch SOL for an early read on Bank Reserves.
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)
45.5%
Headline metric
Movement correlation(i)
-29%
Based on % moves
95% CI
-63% → +15%
Pipeline
Pipeline Summary
23 paired data points survived the monthly window.
Raw input
729
807
Normalized
729
807
Prepared
25
807
Aligned
23
23
Invalid removed
Likely range of correlation
R²(i)
8.2%
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: -12 to 12 months.
Selected shift
+7 months
Correlation at this shift
+53%
+24% stronger than no-shift baseline
Bank Reserves shifted 7 months earlier. Reads: "Does Solana (SOL) today line up with Bank Reserves 7 months from now?"
15 overlapping points at this shift
Baseline
-29%
No-shift correlation, matching the main time-series chart above.
Peak shift
+7 months
+53%
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
4 periods · Return correlation when both series rose
Both Falling
-16%
6 periods · Return correlation when both series fell
Diverging
-82%
12 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
786
A: 2 / B: 784
Series A
Solana (SOL)
SOL
Crypto · 729 raw → 25 prepared
Series B
Bank Reserves
TOTRESNS
FRED · 807 raw → 807 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
3
Estimated crossover points between normalized spreads.
Slope
-0.0389
Linear regression slope.
Intercept
-0.0063
Linear regression intercept.
Saved 3 weeks ago · ID: crypto-sol_fred-totresns_monthly_5y