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 →

⚡ 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, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/rookiewu417-factorzen
For 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 endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmtestresearch

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.