CENT. is a powerful multi-agentic framework for building AI-driven financial advisors. It automates the entire investment research process—from fundamental analysis to generating a final financial report. This system is designed to provide comprehensive, data-driven insights tailored to different investment strategies.
The CENT. workflow is a sophisticated pipeline where specialized agents work together to analyze potential investments. The process combines fundamental analysis, technical analysis, and AI-driven insights to produce a detailed report.
The process begins with the Stock Inspector Agent, which uses a screener to scrape and analyze stocks. This data is then passed to three specialized agents:
- Growth Investor Agent: Focuses on companies with strong growth potential.
- Value Investor Agent: Identifies undervalued stocks with solid fundamentals.
- Risk Manager Agent: Assesses the risk profile of each stock.
Insights from the fundamental analysis agents are passed to the Stock Orchestrator Agent, which collaborates with the Price Action Agent to perform detailed technical analysis using indicators such as:
- Envelopes
- RV Knox Divergence
The output from the technical analysis phase undergoes backtesting to evaluate the historical performance of the strategy. A final, all-encompassing agent then:
- Integrates all results
- Uses custom prompts
- Generates a comprehensive Financial Report combining all insights into a clear, actionable summary.
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Automation: Reduces the need for manual research by automating complex financial analysis.
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Customization: Tailor the agents to your specific investment philosophy—whether you're a growth, value, or risk-averse investor.
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Accuracy: Combines multiple analytical approaches (fundamental, technical, and AI) to provide deeper, more reliable insights.
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Scalability: The modular, multi-agentic architecture allows for easy expansion and integration of new analytical tools and strategies.