Lesson Learned #117: Trust Audit - Full System Review (Jan 8, 2026)
ID: LL-117
Date: January 8, 2026
Severity: HIGH
Category: System Audit, Trust Verification
Summary
CEO requested comprehensive trust audit covering Phil Town compliance, risk mitigation, RAG recording, and operational readiness.
Key Findings
Phil Town Rule #1 Compliance
- Status: PARTIALLY COMPLIANT
- Trailing stops: IMPLEMENTED in daily-trading.yml
- Previous violations: ll_106 (unprotected positions lost $93.69)
- Current risk: $0 (no open positions)
Risk Mitigation
- Status: AUTOMATED
- Trailing stops: 10% equities, 20% options
- Position limits: Max 2 positions
- Stop-loss on workflow failure: exit 1 (fails entire workflow)
RAG Trade Recording
- Status: BIDIRECTIONAL PIPELINE ACTIVE
- Pre-trade:
query_vertex_rag.py - Post-trade:
sync_trades_to_rag.py - Local backup: JSON files always work
$100/Day North Star
- Reality: Requires $50,000+ capital
- Current: $30 live, $5K paper
- Path: Compounding + $10/day deposits = ~Jun 2026 for $5K
Dashboard & Blog
- Status: CURRENT (Jan 8, 2026)
- Day 71/90 displayed correctly
- Paper: $5K fresh start after CEO reset
Gaps Identified
- YouTube/Blog Learning: Analyzer exists but not automated in workflow
- CI Trigger from Sandbox: No GitHub token available
- First Paper Trade: $5K sitting idle since Jan 7 reset
#1 Action for Operational Security
Execute first paper trade with full protection validation:
- Pre-trade RAG query
- CSP execution on F or SOFI ($5 strike)
- Automatic trailing stop
- Post-trade RAG sync
Tags
trust_audit, phil_town, risk_mitigation, rag, operational_readiness
This lesson was auto-published from our AI Trading repository.
More lessons: rag_knowledge/lessons_learned
Top comments (0)