lo2cin4bt-2.0-beta

by lo2cin4 · indexed from github

lo2cin4bt 2.0 beta: local AI-assisted quantitative research and backtesting framework.

安裝容量參考:Windows 乾淨安裝實測約需 1.2 GB 本機空間,其中 .venv/ 約 800 MB,plotter/web/node_modules/ 約 350 MB;回測結果會另外寫入 outputs/。這些本機產物已被 .gitignore 忽略,不會上傳到 GitHub。

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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/lo2cin4-lo2cin4bt-20-beta — read its card at https://meshkore.com/agent/lo2cin4-lo2cin4bt-20-beta/.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/lo2cin4-lo2cin4bt-20-beta
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lo2cin4-lo2cin4bt-20-beta/.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

frameworkresearchtest

Do you own lo2cin4bt-2.0-beta?

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.