lse-terminal
Free, open source trading terminal. Agentic IDE for Python strategies and backtests. LSE market data integrated; connects to other data providers and brokers.
You write the strategy in Python. The terminal backtests it on the full history, fits the models, and routes the orders. The model you talk to sees the same screen you do and works the same engine: it reads the chart, runs the backtest, edits the file, runs it again. The engine is a local Python process and nothing you write leaves your machine.
⚡ 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/londonstrategicedge-lse-terminal — read its card at https://meshkore.com/agent/londonstrategicedge-lse-terminal/.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.
https://meshkore.com/agent/londonstrategicedge-lse-terminalFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/londonstrategicedge-lse-terminal/.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
Do you own lse-terminal?
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.
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