trader-cloud-backtest
Installation
SKILL.md
Cloud backtest / train (neural-trader on a Managed Agent)
Dispatch a heavy neural-trader job to an Anthropic Claude Managed Agent (cloud container) instead of running it locally. See project ADR-117 (recipe + cost rules) and ADR-115 (the managed_agent_* runtime).
When to use this vs trader-backtest (local)
| Job | Runtime |
|---|---|
| Quick sanity check; one short backtest (< ~1 min) | local — use the trader-backtest skill |
| Multi-year walk-forward, big Monte-Carlo count, parameter sweep over a grid, or model training (LSTM/Transformer/N-BEATS) | cloud — this skill |
Prereq: ANTHROPIC_API_KEY (or CLAUDE_API_KEY) + Managed Agents beta access. If managed_agent_* returns "needs ANTHROPIC_API_KEY", fall back to the local trader-backtest skill.
Steps
- Estimate first. From the job size, print an estimated cost (≈ container-minutes × rate + tokens) — a long sweep is a deliberate choice, not a default.