brotto/crng
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Repository profile
Distributional crypto-return forecasting via Wasserstein-geodesic extrapolation in quantile-function space. WGeo family wins 12/12 (asset × horizon) cells over 6.75y walk-forward CRPS vs GARCH and classical baselines. v0.4.
Repository updates
Get generated AccursedGalaxy/wasserstein-btc development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-21 03:03
3 captures since 2026-06-19
Stars from baseline +1
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-21 03:03
pyproject.toml
python ecosystem,
12 dependencies
uv.lock
python ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Key config paths
Nearest indexed repositories by embedding similarity.
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN
Binance USDT-M futures scanner — 57 indicators × 12 timeframes + futures-microstructure/regime/MTF overlays, whale-divergence filter, one consensus verdict per symbol. Desktop (Python + React "Depth Terminal") & Android (Compose). Public data only, no keys.
Time series and portfolio analytics for quantitative finance.
BTC order book microstructure analysis: OBI, CVD, and spread statistics from 38 days of Binance data
Automatic discovery of non-trivial statistical truths from 500+ public time series — mutual information, Granger causality, FDR correction