BTC Returns

financial · 36 views
financial

What It Is

Bitcoin hourly log-returns --- heavy tails (kurtosis ~18), volatility clustering, and leverage effects. The canonical non-Gaussian financial time series

Interpretation

Standard analysis sees: heavy-tailed; aperiodic / broadband; high-complexity (noise-like); time-irreversible (sharp rises, slow decay). The atlas finds no named structure, but the source is distinctively extreme on Level Statistics:wd_classification (-2.2z) — beyond what the standard bank predicts for it.

What standard analysis sees
tail heaviness0.93
asymmetry0.17
occupancy0.27
short-range corr0.20
long-range memory0.42
spectral colour0.83
periodicity0.08
complexity0.86
time-irreversibility0.90
volatility clustering0.46
multifractality0.56
dimensionality0.58
nonstationarity0.81
What the atlas adds
Atlas-extreme metrics the standard bank can’t predict for this source
Level Statistics:wd_classification-2.1zbank-miss 1.0σ

Composition

dtypefloat64
range[-0.05516, 0.0645]
unique values16382 / 16384
mean ± std6.61e-05 ± 0.00514

Render Gallery

Atlas Position

Nearest neighborDistance
Nikkei Returns2.67
S&P 500 Returns2.73
NASDAQ Returns3.11

Open in Atlas →

Which Geometries Light Up

CayleyCayley:growth_exponentrank 2/2982.0677
CayleyCayley:spectral_gaprank 2/2980.0371
CayleyCayley:saturation_radiusrank 298/2980.0080
Fisher InformationFisher Information:geodesic_velocityrank 5/2981.4666
Gottwald-MelbourneGottwald-Melbourne:angular_spectral_structurerank 294/2980.4360
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