FinGenius: The World's First Multi-Agent Game-Theory Financial Analysis Tool 92

What is FinGenius?

FinGenius is the world's first A-share ai financial game-theory multi-agent application, developed by a post-00s team and open-sourced on GitHub on May 27, 2025. Its core innovation is 16 specialized agents (such as sentiment, hot-money flow, and risk control), which collaborate through the "Research-Battle" dual-agent environment and generate multimodal analysis reports in 30 seconds—well suited to the characteristics of the A-share market with many retail investors and strong policy influence. It directly fetches raw exchange data to avoid inaccurate information, and includes a built-in "Annual Ring Memory Algorithm" that records user operation habits and provides personalized strategies. Currently, FinGenius is available on app stores and also supports local deployment, offering investors free auxiliary analysis.

Product Features

✅ Multi-agent collaboration: Adopts the Research–Battle dual-agent environment multi-agent architecture, with 16 super agents dividing the work. Currently, 6 are open-sourced, covering sentiment, hot-money flow, risk control, technical analysis,筹码 (chip distribution), and large-order anomalies. These agents each handle their own tasks, analyzing market data from multiple perspectives, and ultimately generating comprehensive reports.

✅ Game-theory mechanism for optimized decision-making: Through multi-round debate and game play, simulating the behavior and interactions of market participants to optimize decisions and predict market trends. This kind of debate allows for more comprehensive and in-depth analysis of problems, avoiding the limitation of looking at things from just one angle.

✅ Personalized service: Introduces the "Annual Ring Memory Rule Algorithm," which accurately records users' investment habits and provides personalized financial analysis services. The longer it is used, the better it fits the user's operating habits.

✅ Efficient data processing: Capable of processing large amounts of financial data in milliseconds, monitoring market anomalies in real time, and providing early risk warnings. Fast response—results come out in about a second—delivering a good user experience.

Function Modules

✅ Deep data integration and report generation: Efficiently integrates various types of data, quickly generates structured multimodal reports, and accurately identifies key information and potential risk points.

✅ Risk warning system: Monitors the market around the clock, promptly detects potential risks, and provides security safeguards for financial analysis.

✅ MCP intelligent invocation and tool integration: Based on the ModelContextProtocol (MCP), it enables smooth collaboration between models and supports an always-available financial tool ecosystem.

Use Cases

✅ Banks and financial institutions: Enhance risk management, optimize credit and investment analysis, and improve customer service, including credit risk assessment, portfolio management, and more.

✅ Investment and asset management: Leverage AI to analyze the market, discover investment opportunities, optimize asset allocation, and increase returns, such as quantitative strategy development and market sentiment analysis.

✅ Corporate financial management: Optimize cash flow management, improve the accuracy of financial analysis, and assist in strategic planning, covering cash flow analysis, financial risk assessment, and more.

✅ Personal financial advisors: Provide professional advice to individual investors and create personalized financial plans, including investment portfolios and retirement planning.

How to Use

1. Register and log in: Visit the FinGenius official website or download the mobile app (already listed on Honor, Xiaomi, and Vivo app stores), create an account, and log in.

2. Customized settings: Flexibly configure analysis parameters and alert conditions based on your personal investment habits and preferences.

3. Monitor and analyze: Follow the analysis reports and alert information to support investment decisions.

4. Local deployment: Local deployment is supported. Users can clone the repository via GitHub, install dependencies, configure parameters, and run it locally.

Advantages and Shortcomings

✅ Advantages:

• Broad analytical perspectives, not limited to technical indicators.

• Fast response and good user experience.

• Can learn user habits and gets more attuned the more it's used.

• Open-source and transparent—code is available on GitHub.

• Provides personalized service.

✅ Shortcomings:

• Beginners may find the operation complex.

• As an AI tool, the analysis results cannot be guaranteed to be 100% accurate—investment decisions still rely on the investor's own judgment.

• Performance under extreme market conditions still needs to be verified.

• Some feature details are not yet fully refined.

Pricing Plans

✅ Basic: ¥2,999 / month, suitable for small financial institutions and startups. Includes the basic multi-agent game-theory model, daily data analysis reports, and more, with 5 user accounts and standard customer support.

✅ Professional: ¥7,999 / month, suitable for mid-sized financial institutions and investment firms. Includes the advanced multi-agent game-theory model, real-time data analysis and reports, and more, with 20 user accounts, priority customer support, and API access.

✅ Enterprise: Custom pricing, suitable for large financial institutions and banks. Includes a customized multi-agent game-theory system, comprehensive data analysis solutions, and more, with unlimited user accounts, 24/7 dedicated customer support, full API and SDK access, and a dedicated deployment plan.

Key Questions

✅ Question 1: How does FinGenius's multi-agent game-theory system collaborate to perform financial analysis?

Answer: Multiple specialized AI agents each handle data collection and domain-specific analysis (for example, the sentiment agent analyzes public opinion, and the risk control agent assesses risk, etc.). They then communicate and discuss through game-theory debates, combined with MCP intelligent invocation technology to enable smooth collaboration between models, ultimately arriving at a comprehensive conclusion and providing users with all-around financial analysis.

✅ Question 2: For Kweichow Moutai, what are the main views of each FinGenius agent, and what is the comprehensive conclusion?

Answer: The sentiment agent believes public sentiment is highly positive and mostly bullish; the risk control agent flags medium-to-high risk, including valuation concerns; the market agent points out that the market shows strong characteristics and provides a target price and support level; the strategy agent emphasizes long-term advantages and the likelihood of continued growth. The comprehensive conclusion is that Kweichow Moutai currently has medium- to long-term investment value, but may face short-term valuation pullback risk—gradual position-building is recommended.

✅ Question 3: What are the use cases of FinGenius, and which pricing plan is suitable for financial institutions of different sizes?

Answer: Use cases include banks and financial institutions, investment and asset management, corporate financial management, and personal financial advisors. Small financial institutions and startups are suited to the Basic plan (¥2,999 / month); mid-sized financial institutions and investment firms are suited to the Professional plan (¥7,999 / month); large financial institutions and banks are suited to the customized Enterprise plan.