Bitcoin hourly log-returns --- heavy tails (kurtosis ~18), volatility clustering, and leverage effects. The canonical non-Gaussian financial time series
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.
Level Statistics:wd_classification | -2.1z | bank-miss 1.0σ |








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| Nearest neighbor | Distance | |
|---|---|---|
| Nikkei Returns | 2.67 | |
| S&P 500 Returns | 2.73 | |
| NASDAQ Returns | 3.11 |
Cayley › Cayley:growth_exponent | rank 2/298 | 2.0677 |
Cayley › Cayley:spectral_gap | rank 2/298 | 0.0371 |
Cayley › Cayley:saturation_radius | rank 298/298 | 0.0080 |
Fisher Information › Fisher Information:geodesic_velocity | rank 5/298 | 1.4666 |
Gottwald-Melbourne › Gottwald-Melbourne:angular_spectral_structure | rank 294/298 | 0.4360 |