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Longbridge Quant Stats

longbridge

Quantitative statistics framework for time-series analysis using Longbridge price data — ADF unit root test (stationarity), cointegration (Engle-Granger / Johansen), GARCH volatility modelling (conditional heteroskedasticity), regression diagnostics (Durbin-Watson / Breusch-Pagan), bootstrap confidence intervals, hypothesis tests (t-test / F-test). Requires statsmodels and scipy.

Install

The individual skill folder is not confirmed. This command opens the repository’s skill selector; follow the upstream instructions.

skills CLI
npx skills add longbridge/skills