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Session Log — Monday, April 13 2026

What We Worked On

  • NEO Trading Engine — Stage 1 funded sessions running live on neo_live_stage1.db
  • Reviewed Manus audit, locked pre-injection checklist, confirmed CONDITIONAL GO → GO
  • Session 15, 16, 17 validation runs completed; two data-layer blockers fixed; injection executed
  • Gateway unhealthy halt regression investigated — confirmed not a code change, infrastructure issue
  • Session tracking implemented: sessions table, session_id tagging across 5 runtime tables, recovery lineage via parent_session_id
  • Dashboard upgraded: session-scoped metrics, "vs last session" comparison panel, mobile mode
  • Open Flags file created and maintained; automated daily review scheduled (9 AM ET)

What Was Built or Changed

  • neo_engine/state_manager.py — sessions table, create_session(), close_session(), parent_session_id linkage
  • neo_engine/main_loop.py — startup creates session, shutdown closes session with ending balances + halt reason
  • run_paper_session.py — prior_session_id threading for recovery restart lineage
  • dashboard.py — load_session_context(), session-scoped queries, comparison panel, mobile layout, auth gate, session_id filter on all session metrics
  • .streamlit/config.toml — CORS/XSRF config for local network access
  • 02 Projects/NEO Trading Engine/[C] Open Flags.md — created; 6 active flags tracked
  • neo-flags-review scheduled task — runs daily 9 AM ET, reads flags file, surfaces actionable items

Still Open

  • Pre-tuning checklist (must complete before 18→16 sell offset experiment):
  • Fix _CONFIG_CANDIDATES to include config_live_stage1.yaml (config visibility)
  • Session-scope participation filter ticks (FLAG-005)
  • VW spread / mid-price consistency audit including first-fill session-boundary behavior (FLAG-006)
  • Push 63 commits to remote before tuning experiment
  • Recovery lineage verification on next real recovery event (FLAG from session tracking)
  • 18→16 sell offset experiment — gated on above; framing is now diagnostic (pricing vs queue mechanics bottleneck), not presumed improvement

Start Here Tomorrow

Complete the 3-item pre-tuning checklist (config visibility, participation filter scoping, VW spread audit), push to remote, then run the 18→16 sell offset experiment as a clean diagnostic — the question is now whether queue mechanics or pricing distance is the sell-side bottleneck.