NotebookLM URLs:
- Primary Context: https://notebooklm.google.com/notebook/e8f4c29d-9aec-4d5f-8f51-2ca168687616
- Blueprint & Strategy: https://notebooklm.google.com/notebook/da5f7773-bb49-40d5-975c-2a30fd6b37c3
- Legacy Context: https://notebooklm.google.com/notebook/0e4dfc9b-d57d-4cfc-812d-905d37d67402

OneDrive Blueprint Notes:
- Quick Notes - Blueprint: https://onedrive.live.com/view.aspx?resid=8F247B1B46E82304%21s47a25b152cbc4de0986115d88145a225&id=documents&wd=target%28Quick%20Notes.one%7C8BA711F8-2F20-4E7B-80E6-8A8AE35E44EE%2F%F0%9F%9F%A6Blueprint%7C537850C8-5311-4245-998C-DF5B039E5053%2F%29&wdpartid={2A7121B3-322E-660B-0CE6-D3E30D3240A7}{1}&wdsectionfileid=8F247B1B46E82304!s1989476304ab43a4b1dec048cc4fe5ec

INSTRUCTIONS:
This file contains context for the AI agents (Gemini and Jules) to use when researching repository upgrades.
The URLs above point to Google NotebookLM notebooks and OneDrive documents containing specific research notes, strategies, and blueprints.

AI AGENT DIRECTIVES:
1. If you are an AI capable of browsing (like Gemini), please visit the URL to gather context.
2. If you cannot browse, assume the user wants the strategies defined in this notebook to be prioritized.
3. The goal is to upgrade the repository and EA code based on the insights from this notebook.
4. Key areas of focus usually include:
   - Market structure analysis (SMC)
   - Risk management optimization
   - Code performance improvements (latency reduction)
   - Integration of new AI models (e.g., Gemini 2.0 Flash)

Please incorporate these directives into your "Upgrade Suggestions".