Repository profile
BTC order book microstructure analysis: OBI, CVD, and spread statistics from 38 days of Binance data
Repository updates
Get generated mznowhere/btc-orderbook-research 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 03:09
3 captures since 2026-06-19
Stars from baseline +2
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-21 03:09
requirements.txt
python ecosystem,
10 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.
Nearest indexed repositories by embedding similarity.
Automatic discovery of non-trivial statistical truths from 500+ public time series — mutual information, Granger causality, FDR correction
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.
PriceHub: Unified Python Package for Collecting OHLC Prices from Binance, Bybit, OKX, Coinbase, Kraken APIs into a DataFrame
Market-making strategy that placed #2 in Paradigm's Prediction Market Challenge. 110 iterations, 8 hours.
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
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.
