AlphaRSI — three-role self-improvement loop that evolves the training recipe of alpha sequence models. Operator runs walk-forward, Evaluator grades with OOS RankIC, Refiner proposes hyperparameters via TPE Bayesian search; only strictly-better recipes are kept. Offline one-command run, data bundle shipped with sha1 reconciliation, GPU auto-detect. Ships one skill.
Author: Z-Asset · Workflow & Automation · Catalog snapshot: 2026-09-19AlphaRSI — three-role self-improvement loop that evolves the training recipe of alpha sequence models. Operator runs walk-forward, Evaluator grades with OOS RankIC, Refiner proposes hyperparameters via TPE Bayesian search; only strictly-better recipes are kept. Offline one-command run, data bundle shipped with sha1 reconciliation, GPU auto-detect. Ships one skill.
Imported third-party catalog description; not a Registry verification conclusion.— stars · — downloads
Signals were provided by the source catalog and do not imply quality or safety. 2026-09-19No exact-version test is available.
No Registry security conclusion is available.
No functional smoke evidence is available.
Plugin permissions have not been resolved.
Package structure and integrity have not been analyzed.
Describe your task in a DSH conversation and mention alpharsi. After installing or updating the manager from npm latest, it can find this candidate through Registry, then inspect its actual source and version locally.
github:Z-Asset/alpharsiExact version not resolved