LengKundee/MQL5-Google-Onedrive
LengKundee/MQL5-Google-Onedrive
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MQL5-Google-Onedrive/docs/NOTEBOOK_LM_CONTEXT.txt

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Add NotebookLM and OneDrive Blueprint integration documentation Co-authored-by: Mouy-leng <199350297+Mouy-leng@users.noreply.github.com>
2026-02-18 05:55:01 +00:00
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
Setup schedule and integrate NotebookLM context for research/upgrades
2026-01-25 19:44:13 +00:00
INSTRUCTIONS:
Setup schedule for Gemini and Jules research with NotebookLM context - Updated `docs/NOTEBOOK_LM_CONTEXT.txt` with user-provided NotebookLM URL and context directives. - Enhanced `scripts/market_research.py` and `scripts/upgrade_repo.py`: - Added proper Jules integration using the REST API structure `{"model": ..., "prompt": ...}` to match MQL5 implementation. - Added warning suppression for deprecated `google.generativeai` warnings. - Added robustness checks for API keys. - Enhanced `scripts/schedule_research.py` with file logging (`logs/scheduler.log`) and next-run prediction.
2026-01-28 20:07:51 +00:00
This file contains context for the AI agents (Gemini and Jules) to use when researching repository upgrades.
Add NotebookLM and OneDrive Blueprint integration documentation Co-authored-by: Mouy-leng <199350297+Mouy-leng@users.noreply.github.com>
2026-02-18 05:55:01 +00:00
The URLs above point to Google NotebookLM notebooks and OneDrive documents containing specific research notes, strategies, and blueprints.
Setup schedule for Gemini and Jules research with NotebookLM context - Updated `docs/NOTEBOOK_LM_CONTEXT.txt` with user-provided NotebookLM URL and context directives. - Enhanced `scripts/market_research.py` and `scripts/upgrade_repo.py`: - Added proper Jules integration using the REST API structure `{"model": ..., "prompt": ...}` to match MQL5 implementation. - Added warning suppression for deprecated `google.generativeai` warnings. - Added robustness checks for API keys. - Enhanced `scripts/schedule_research.py` with file logging (`logs/scheduler.log`) and next-run prediction.
2026-01-28 20:07:51 +00:00
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".
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