Aryan SinghandClaude Opus 4.8 4beee3dc82 feat: market regime, self-learning journal, AI investment committee ...

- regime.py: computed SPY/VIX/sector-momentum snapshot injected into every kickoff
- journal.py: each agent sees its own past picks marked-to-market (learns from wins/losses)
- committee.py: Chief-Risk-Officer LLM pass over the whole book — approve/reduce/veto
  per pick with reasons; memo lands in reports; executor enforces verdicts at open

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016DvdRZkyCy9NJpHYDdPqmS

4beee3dc82 · 2026-07-02 12:27:05 -05:00

History

..

__init__.py

feat(agents): pydantic output schemas (Pick/AgentOutput/RunManifest) + tests

2026-07-01 16:29:29 -05:00

compaction.py

fix(agents): survive long overnight runs

2026-07-02 12:22:29 -05:00

graph.py

feat: market regime, self-learning journal, AI investment committee

2026-07-02 12:27:05 -05:00

schemas.py

feat(agents): pydantic output schemas (Pick/AgentOutput/RunManifest) + tests

2026-07-01 16:29:29 -05:00