Statistical volume anomaly detection for trade streams - Hawkes process, CUSUM, and Bayesian Online Changepoint Detection (BOCPD). Zero dependencies. TypeScript.
-
Updated
Mar 1, 2026 - TypeScript
Statistical volume anomaly detection for trade streams - Hawkes process, CUSUM, and Bayesian Online Changepoint Detection (BOCPD). Zero dependencies. TypeScript.
Changepoint detection toolkit for offline and online in Rust with Python bindings
Ultra-fast Bayesian Online Change Point Detection in C. Hand-tuned AVX2 assembly delivers 3 million observations/sec: that's 33x faster than naive and 4,100x faster than Python. Sub-microsecond latency, full numerical precision, production-ready.
Bayesian changepoint detection for insurance pricing — BOCPD and PELT, exposure-weighted Poisson-Gamma, UK regulatory event priors, Consumer Duty reports
Add a description, image, and links to the bocpd topic page so that developers can more easily learn about it.
To associate your repository with the bocpd topic, visit your repo's landing page and select "manage topics."