- Replaced sequential execution of `ask_gemini` and `ask_jules` with `concurrent.futures.ThreadPoolExecutor`.
- Reduced total execution time by running independent network-bound tasks in parallel.
- Added necessary import for `concurrent.futures`.
⚡ Bolt: Parallelize AI requests (~2x speedup)
- 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.
- Added `yfinance` to fetch real market data.
- Enhanced `scripts/market_research.py` to use `yfinance` and support Jules AI.
- Enhanced `scripts/upgrade_repo.py` to support Jules AI for code suggestions.
- Updated `scripts/schedule_research.py` to load environment variables.
- Created `scripts/setup_research.sh` to automate setup.
- Updated `requirements.txt` and `README.md`.
- Added `scripts/market_research.py` to analyze market data using Gemini.
- Added `scripts/upgrade_repo.py` to suggest code upgrades based on research.
- Added `scripts/schedule_research.py` to orchestrate periodic research.
- Updated `config/startup_config.json` to include the scheduler.
- Added `schedule` and `google-generativeai` to `requirements.txt`.
