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Igor Ganapolsky
Igor Ganapolsky

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AI Trading: Day 88 - 4 Lessons Learned (January 24, 2026)

Day 88/90 - Saturday, January 24, 2026

Markets are closed, but the learning never stops. While other traders take the weekend off, we're refining our edge.

4 lessons learned today (0 critical, 0 high priority)

Weekend System Hygiene Protocol

LL-304: Weekend System Hygiene Protocol

Date: January 24, 2026
Category: System Maintenance
Status: Active

Summary
Established weekend system hygiene protocol for maintaining code quality and repo

PR Management and System Hygiene Protocol

LL-303: PR Management and System Hygiene Protocol

ID: LL-303
Date: 2026-01-24
Severity: PROCESS
Category: Development Operations
Status: DOCUMENTED

Context
During Ralph Mode iteration 18, executed

CI Lint Fix - Ambiguous Variable Name (E741)

CI was failing on the Lint & Format job with error:

RLHF Thompson Sampling Model for CTO Improvement

  1. Beta Distribution: α=positive+1, β=negative+1 models uncertainty

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.

Full Tech Stack Documentation


Auto-generated from our AI Trading System's RAG knowledge base.

Follow our journey: AI Trading Journey on GitHub

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