Individual skill
strategy-discovery
Strategy Discovery: evidence-gated facade over Alpha Zoo + the SDM strategy store — answers what strategies exist and what state they are in, with per-regime evidence instead of scenario tags; reports evidence freshness on every returned row and rebuilds the disposable evidence cache from local backtest runs.
agent/src/skills/strategy-discovery/SKILL.md
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- Last checked
- Nov 9, 2026
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- License
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- backtesting Repository topic
- multi-agent Repository topic
- quantitative-finance Repository topic
- trading Repository topic
- ai-agent Repository topic
- algorithmic-trading Repository topic
- fintech Repository topic
- llm Repository topic
- mcp Repository topic
- python Repository topic
- engineering Derived category
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# Strategy Discovery
## Purpose
Strategy Discovery is the single entry point for two questions: **what strategies exist**, and **what state are they in**. It fronts the Alpha Zoo registry and the SDM strategy store with one facade and answers with computed evidence instead of labels, and it reports the freshness of that evidence on every returned row.
It supersedes the earlier closed-registry attempt. That design attached boolean scenario tags (works in bear markets: yes/no) to a curated list. This skill replaces tags with **per-regime evidence rows**: every claim that a strategy works in a regime must come from a computed, reproducible backtest stored as evidence, never from curation or inference.
The three query tools are read-only: they never register, mutate, or delete strategies. To add or change strategies, use the `strategy-dev-manager` and `alpha-zoo` workflows — Strategy Discovery only reports what those workflows have produced. The fourth tool, `refresh_strategy_evidence`, writes only the disposable cache: it rebuilds ONLY the disposable evidence cache from local backtest run artifacts (see Populating & Refreshing Evidence and Composition Guarantee).
## When to Use
Decision tree for routing user requests: