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https://github.com/A6-9V/MQL5-Google-Onedrive.git
synchronisé 2026-04-11 04:30:56 +00:00
6a038d53e0
- 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.
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932 o
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17 lignes
932 o
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NotebookLM URL: https://notebooklm.google.com/notebook/0e4dfc9b-d57d-4cfc-812d-905d37d67402
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INSTRUCTIONS:
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This file contains context for the AI agents (Gemini and Jules) to use when researching repository upgrades.
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The URL above points to a Google NotebookLM notebook containing specific research notes and strategies.
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AI AGENT DIRECTIVES:
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1. If you are an AI capable of browsing (like Gemini), please visit the URL to gather context.
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2. If you cannot browse, assume the user wants the strategies defined in this notebook to be prioritized.
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3. The goal is to upgrade the repository and EA code based on the insights from this notebook.
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4. Key areas of focus usually include:
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- Market structure analysis (SMC)
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- Risk management optimization
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- Code performance improvements (latency reduction)
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- Integration of new AI models (e.g., Gemini 2.0 Flash)
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Please incorporate these directives into your "Upgrade Suggestions".
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