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xeron56 authored
- Added AITraderReport and AIResearch models to encapsulate AI-generated trading reports and research details. - Enhanced StockAnalysis model to include optional AI research data. - Implemented AIStockAnalysisGenerator for generating AI-enhanced stock analysis. - Created grounded prompts for AI stock research in a new stock_research.py file. - Developed a lightweight dashboard CLI for fetching and displaying stock analysis without starting the multi-agent graph. - Updated AnalysisService to integrate AI analysis into the stock analysis workflow. - Added tests for AI dashboard analysis and ensured proper functionality of new features.
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| .. | ||
| agents | ||
| api | ||
| dataflows | ||
| dgt_forecasting | ||
| graph | ||
| llm_clients | ||
| timesfm_forecasting | ||
| __init__.py | ||
| dashboard.py | ||
| dashboard_cli.py | ||
| default_config.py | ||
| languages.py | ||
| reporting.py |