TradingAgents/tradingagents/agents
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
..
analysts feat: generic AI trading agent interface (#264) 2026-04-21 08:25:27 +10:00
managers refactor: remove stale imports, use configurable results path (#499) 2026-04-04 07:35:35 +00:00
researchers refactor: remove stale imports, use configurable results path (#499) 2026-04-04 07:35:35 +00:00
risk_mgmt refactor: remove stale imports, use configurable results path (#499) 2026-04-04 07:35:35 +00:00
trader refactor: remove stale imports, use configurable results path (#499) 2026-04-04 07:35:35 +00:00
utils feat: generic AI trading agent interface (#264) 2026-04-21 08:25:27 +10:00
__init__.py feat: generic AI trading agent interface (#264) 2026-04-21 08:25:27 +10:00
base_agent.py feat: generic AI trading agent interface (#264) 2026-04-21 08:25:27 +10:00
benchmark.py feat: generic AI trading agent interface (#264) 2026-04-21 08:25:27 +10:00
registry.py feat: generic AI trading agent interface (#264) 2026-04-21 08:25:27 +10:00