Day 89/90 - Sunday, January 25, 2026
Every mistake is a lesson in disguise. Today we uncovered a critical flaw in our system - the kind that separates amateur traders from professionals who survive long-term.
4 lessons learned today (1 critical, 1 high priority)
CTO Ignores Surfaced RAG Lessons - Pattern Identified
Every session:
RAG Learning Synthesis - Iron Condor Adjustments
During Ralph Mode iteration 21, queried RAG and synthesized key learnings from recent lessons.
Iron Condor Optimal Control Research
LL-309: Iron Condor Optimal Control Research
Date: 2026-01-25
Category: Research / Strategy Optimization
Source: arXiv:2501.12397 - "Stochastic Optimal Control of Iron Condor Portfolios"
Key Findi
VIX Timing for Iron Condor Entry
LL-310: VIX Timing for Iron Condor Entry
Date: 2026-01-25
Category: Strategy / Entry Timing
Status: RESEARCH
Key Finding: IV Rank and VIX Level Matter
Optimal Entry Conditions
| Parameter | Rec
Tech Stack Behind the Scenes
Our AI trading system uses:
- Claude Opus 4.5 - Primary reasoning engine for trade decisions
- OpenRouter - Cost-optimized LLM gateway (DeepSeek, Mistral, Kimi)
- Vertex AI RAG - Cloud semantic search with 768D embeddings
- Gemini 2.0 Flash - Retrieval-augmented generation
- MCP Protocol - Standardized tool integration layer
Every lesson is stored in our RAG corpus, enabling the system to learn from past mistakes and improve continuously.
Auto-generated from our AI Trading System's RAG knowledge base.
Follow our journey: AI Trading Journey on GitHub
Top comments (0)