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liangdabiaoAI-powered deep research system for financial and general topics
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Summary
This repository offers an automated, 8-phase stock investment due diligence system powered by Claude Code. It targets investors and researchers by deploying ~28 parallel agents to conduct deep, data-driven analysis of publicly traded companies globally, culminating in a comprehensive due diligence report.
How It Works
The system utilizes an 8-phase due diligence framework, integrating WebSearch, WebFetch, and comprehensive analysis tools. Its core innovation lies in the parallel execution of ~28 research agents, adapting research strategies to specific investment styles (value, growth, turnaround, dividend). Quality assurance is paramount, featuring mandatory cross-validation (e.g., profit vs. cash flow, company vs. peers) and citation verification with source quality ratings (A-E).
Quick Start & Requirements
/stock-research [ticker] (e.g., /stock-research AAPL).Highlighted Details
Maintenance & Community
Developed by Ankit at My Business Care Team (MyBCAT). The "Stock Research Edition" is dated December 2025. No specific community channels or roadmap details are provided in the README.
Licensing & Compatibility
Licensed under the permissive MIT License, allowing for broad use, including commercial applications and linking within closed-source projects.
Limitations & Caveats
This system explicitly disclaims providing investment advice or stock price predictions. Signal ratings are strictly based on fundamental analysis. Users must perform their own due diligence and consult financial advisors, as all investments carry inherent risks, including principal loss. The system is presented as a specific edition from late 2025.
1 month ago
Inactive
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