BTC Returns

financial · 37 views
financialstochastic

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). The atlas finds no named structure, but the source is distinctively extreme on Fractal (Mandelbrot):interior_fraction (+2.4z) — beyond what the standard bank predicts for it.

What standard analysis sees
tail heaviness0.90
asymmetry0.19
occupancy0.33
short-range corr0.20
long-range memory0.44
spectral colour0.84
periodicity0.03
complexity0.87
time-irreversibility0.83
volatility clustering0.48
multifractality0.60
dimensionality0.57
nonstationarity0.72
What the atlas adds
Atlas-extreme metrics the standard bank can’t predict for this source
Fractal (Mandelbrot):interior_fraction+2.4zbank-miss 1.4σ
Fisher Information:geodesic_velocity+2.2zbank-miss 1.6σ
Level Statistics:wd_classification-2.1zbank-miss 1.1σ

Composition

dtypefloat64
range[-0.05046, 0.05576]
unique values16328 / 16384
mean ± std7.91e-05 ± 0.00529

Render Gallery

Atlas Position

Nearest neighborDistance
Student-t Noise2.57cross-origin
MFPT Inner Unloaded2.86cross-origin
Nikkei Returns2.93

Open in Atlas →

Which Geometries Light Up

Cayley › Cayley:growth_exponentrank 1/3062.0778
Cayley › Cayley:spectral_gaprank 1/3060.0360
Cayley › Cayley:saturation_radiusrank 305/3060.0080
Fractal (Mandelbrot) › Fractal (Mandelbrot):interior_fractionrank 5/3060.9781
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