AI Agent Framework

Figure 1. The Multi-modal Multi-Agent Prediction Framework

AI Agent Framework Explanation

This framework showcases how our AI agents work together, with human oversight, to manage all aspects of our Memecoin Investment Fund. Each agent has a specialized role, ensuring a seamless, data-driven, and efficient operation.

This is a system where specialized LLM-based agents analyze various forms of financial data, such as textual news reports, and technical indicators. A key component is the reflection module, which evaluates historical trading signals and outcomes to enhance future decision-making capabilities.

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A Multi-Agent Framework for Memecoin Market Prediction.pdf

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Academic Research Paper - University of Illinois at Chicago

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Multimodal Foundation Agent for Financial Trading.pdf

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A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist

Here’s how it works:

1. On-Chain Analysis Agent

• Purpose: Tracks wallet activity, token deployments, and liquidity events.

• Functionality: This agent monitors blockchain activity in real-time to identify opportunities, such as new token launches or whale movements.

• Output: Insights are fed into the Trading Agent to make informed decisions.

1. Off-Chain Analysis Agent

• Purpose: Tracks off-chain trends and sentiment from platforms like X (Twitter), Discord, and TikTok.

• Functionality: Monitors discussions, social media trends, and community sentiment to generate actionable signals.

• Output: Signals are passed to the Trading Agent to align trades with market momentum.

1. Trading Agent

• Purpose: Executes trades and manages the fund’s portfolio on decentralized exchanges (DEXs), like Solana’s DEXs.

• Functionality: Combines on-chain and off-chain data to execute precise, high-frequency trades while mitigating risks.

• Output: Manages assets dynamically to maximize returns.

1. Investor Relation Agent

• Purpose: Handles communication with investors and provides performance reporting.

• Functionality: Serves as a real-time touchpoint for investors to access fund performance, updates, and key metrics.

• Output: Keeps investors informed and engaged, reinforcing transparency and trust.

1. Management Agent

• Purpose: Oversees and optimizes the entire system.

• Functionality: Ensures all agents function cohesively, fine-tuning strategies, and addressing operational challenges in collaboration with human oversight.

• Output: A continuously optimized system that balances performance and risk.

Human Oversight

While AI agents handle the heavy lifting, humans remain integral to the system:

• Decision Validation: Key decisions are reviewed and approved by experts.

• Strategic Adjustments: Humans adapt strategies based on market changes and investor feedback.

Why This Matters

This AI-powered framework allows us to:

1. Automate complex processes for faster decision-making.

2. Leverage real-time data for superior investment strategies.

3. Maintain transparency and reliability for our investor community.

This system combines cutting-edge technology with human expertise to deliver the best results.