MDF now places 3 levels of resting bids and asks per symbol each cycle,
ensuring order books always have liquidity. CH AI trader falls back to
securities.txt reference prices when books are empty. CH daily obligation
raised to 20.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add AI reasoning history to CH member detail panel
- New ch_ai_decisions table stores LLM responses and parsed orders
- AI trader logs every decision: LLM response, fallback, invalid parse
- Member detail API returns last 10 AI decisions
- Detail panel shows AI Reasoning section with:
- LLM/Fallback/Invalid badges
- Parsed order (side, qty, symbol, price)
- Raw LLM response in scrollable monospace box
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add clearing house simulation with 10 members (USR01-USR10)
- New clearing_house/ Flask service (port 5004) with dedicated dark-themed portal
- SQLite persistence: member capital, holdings, daily trade counters, settlements
- Members start with €100,000; must trade ≥10 securities per trading day
- Password = member ID (e.g. USR01 logs in with password USR01)
- Real users log in to trade manually; AI (LLM via Groq→HF→Ollama) simulates unoccupied members
- Trade attribution via Kafka trades consumer — detects USRxx- cl_ord_id prefix
- EOD settlement triggered by dashboard session end; calculates unrealized P&L
- Leaderboard at /ch/ with real-time auto-refresh and Human/AI badges
- Member portfolio view: holdings, order entry, trade history, settlement history
- Integrated into nginx (/ch/), entrypoint.sh, docker-compose, and HF Dockerfile
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
