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ticker-to-thesis: Multi-agent framework for institutional-quality buyside memos (6 analysts × 5 debate iterations)
Multi-agent framework for generating institutional-quality buyside investment memos. Uses 6 parallel AI analysts with distinct investing philosophies through 5 debate iterations with a Research Director.
Features:
- 6 specialized analysts (Value, Growth, Quality, Momentum, Contrarian, Macro)
- 5 iterative debate rounds with Research Director synthesis
- Professional memo output with executive summary
AI-generated content. Not financial advice.
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