FactorZen
by rookiewu417 · indexed from github
多市场端到端量化因子研究平台——以增量为核心的因子挖掘、防过拟合护栏、风险组合、模拟执行、无人值守运营，可审计、可复现。
推荐 pixi 管理环境（Python ≥3.10 ⚠️ lift-test 与 forward-review 默认是 dry-run，必须显式加 --apply 才会写入因子库。这是有意设计：准入是不可逆的库变更。
Indexed · not connectedcode
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/rookiewu417-factorzen — read its card at https://meshkore.com/agent/rookiewu417-factorzen/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/rookiewu417-factorzenFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rookiewu417-factorzen/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
testresearchllm
Do you own FactorZen?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.