Clayton Brown 18ac47f5d6 feat: generic AI trading agent interface (#264) ... Standardized input/output contract for all agents, enabling pluggable composition and benchmarking. - AgentInput/AgentOutput Pydantic schemas (5-tier rating, confidence, targets) - BaseAgent abstract class with analyze(input) -> output contract - AgentRegistry for pluggable agent discovery - Existing analysts refactored to implement BaseAgent - Agent benchmarking: compare outputs across different LLM backends Closes #264		2026-04-21 08:25:27 +10:00
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base_analysts.py	feat: generic AI trading agent interface (#264)	2026-04-21 08:25:27 +10:00
fundamentals_analyst.py	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
market_analyst.py	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
news_analyst.py	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
social_media_analyst.py	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00