Browse and benchmark prebuilt cross-sectional alpha libraries with IC/IR reports.
npx skills add https://github.com/GGwujun/SigmX --skill alpha-zoo
Please help me install this Agent Skill. Skill: alpha-zoo Source: https://github.com/GGwujun/SigmX/tree/main/agent/src/skills/alpha-zoo Command: npx skills add https://github.com/GGwujun/SigmX --skill alpha-zoo
Browse and bench prebuilt cross-sectional alpha libraries (Kakushadze 101, GTJA 191, Qlib 158, Fama-French / Carhart) and quickly access metadata or run benchmarks over a chosen universe.
List all alphas in the zoo and then run a bench on a chosen universe.
High-intent search queries and answers about installing and using this skill.
To benchmark cross-sectional alphas, use the alpha_bench action to evaluate your chosen universe and generate aggregated IC and IR results for the selected factors.
Available prebuilt alpha libraries include Kakushadze 101, GTJA 191, Qlib 158, and Fama-French / Carhart, which you can browse using the list_alphas action.
You can retrieve metadata for a specific alpha factor by using the get_alpha action, which pulls detailed information directly from the alpha_zoo registry.
No external dependencies are required to check registry status; you can use the health action to directly verify the alpha_zoo registry condition and operational status.
The best way to browse a large inventory of prebuilt alphas is the list_alphas action, which queries the alpha_zoo registry to display all available cross-sectional factors.
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