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#34
Hacker Pioneer AwardPrize: ¥100#34
Think Tank
Project mainly builds personal think tank, open-ended, can branch into multiple directions, primarily used to solve any questions for any individual from multiple angles. Parallel analysis of a topic ...
About the Creator
Contacted by Cherie
Project Description
Project mainly builds personal think tank, open-ended, can branch into multiple directions, primarily used to solve any questions for any individual from multiple angles. Parallel analysis of a topic providing different perspectives, essentially automating and visualizing multi-dimensional basic analysis. Mechanism: Each Agent publishes standardized conclusion events after completing analysis. Innovation: A Moderator Agent subscribes to all events, not simply aggregating, but performing rule-based logical weighting and conflict marking (e.g., when Graham vetoes due to 'overpriced' while Templeton suggests buy due to 'excessive market pessimism', highlights this conflict and submits to user for arbitration), simulating core debate sessions in decision seminars. Open-evolving think tank ecosystem, can later plug in 'Technical Analysis Agent' or 'Industry Expert Agent'. Innovation: New Agents auto-join workflow by subscribing to same analysis request events, seamlessly extending system analysis capability. This transforms think tank from static tool to organic entity that evolves with user cognition.
Technical Solution
Phase 1 stock trading demo, 4 Agents (Buffett, Morningstar Director, Benjamin Graham, John Templeton). Start from single point: First implement one Mod (like Graham Mod), complete chain from data acquisition (HTTP protocol) to analysis output. Define event specifications: Design core event data structures (like analysis request, analysis complete), this is the 'contract' for multi-Agent collaboration. Introduce coordinator: Develop Aggregator Mod, key to experience improvement, transforming from 'multiple answers' to 'one integrated solution'. Continuous expansion: Inject more unique rules and knowledge bases into each master Mod, making their 'personas' more distinct.
Features
I. Core Agent Functions: Buffett Agent: Responsible for qualitative analysis and long-term value judgment, analyzing 'moat' and competitive advantages from financials and management statements, evaluating business model sustainability and long-term prospects, outputting analysis reports focused on qualitative judgment and long-term holding logic. Morningstar Director Agent: Responsible for quantitative analysis and risk assessment, calling quantitative models to calculate fair value and star ratings, conducting industry comparison and risk assessment (volatility, downside risk), outputting quantitative analysis reports with clear ratings and risk warnings. Graham Agent: Responsible for safety margin and value screening, strictly screening financial data by rules (low P/E, high current ratio), calculating intrinsic value vs current price 'safety margin', outputting 'buy/sell/hold' signals based on conservative value investing principles. Templeton Agent: Responsible for contrarian and global opportunity scanning, monitoring market sentiment indicators and news, seeking oversold sectors, performing cross-market opportunity comparison analysis. Moderator Agent: Responsible for viewpoint aggregation, conflict coordination and report generation.
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