Xtreamly

🚀 Multiagent Application for Token Swapping with mindshare Data Evaluation & Xtreamly Volatility Optimization

🌍 Overview This project implements a multiagent framework 🤖 for user-driven token swaps. Multiple agents collaborate to assist users in making optimal swap decisions while navigating market volatility 📈. A key feature is the dynamic agent tool selection based on the Xtreamly Volatility 60-minute prediction model ⏳.

🔑 Key Features: 🤝 Multiagent decision-making: LLM-powered agents analyze market data and provide recommendations. 🔄 Dynamic agent selection: Adaptive selection of top-performing agents based on real-time market conditions. 📊 Xtreamly Volatility Prediction: A predictive model optimizes tool selection and execution speed. 💰 Swap management strategy: Ensures an equally distributed exposure among high-potential tokens.

⚡ AI-Powered Trading Agent Development The core of this project is the LLM-driven agent, which autonomously selects, rebalances, and executes trading strategies based on market conditions.

Technologies Used:

Eliza Framework – A production-ready AI framework used to build the agent.

Gaianet (Custom Gaia Node) – A decentralized knowledge base that enhances the AI agent's decision-making capabilities.

Collab.land’s AI Agent Starter Kit – Used for rapid development and integration into the DeFi ecosystem.

Autonome: our AI agent framework has been Uploaded on Autonome and launched via AltLayer’s Autonome. Xtreamly AI Models – Provide real-time volatility predictions and quantitative analytics.

Decision-Making Process: 1️⃣ Market Volatility Classification

The agent uses xtreamly_volatility() to determine market conditions:

Low Volatility: Prioritizes stable & undervalued assets.

High Volatility: Focuses on volatile & active assets.

2️⃣ Token Selection

The agent selects the top 10 tokens using multiple ranking functions, evaluating:

Market cap growth

Price momentum

Engagement metrics (social & trading activity)

Volatility & risk-adjusted returns

3️⃣ Exposure Rebalancing & Execution

Closes positions on non-selected tokens.

Allocates funds equally across the new top 10 tokens.

Executes transactions autonomously on-chain.

🏦 Smart Contract Deployment & Automation The trading logic is executed via smart contracts, ensuring transparent, trustless, and secure operations.

✅ Deployments:

Arbitrum Mainnet – Optimized for low-cost, high-speed execution.

Tech Stack for Smart Contracts:

Solidity – Core language for smart contract development.

Hardhat – Used for testing, deployment, and debugging.

Chainlink Oracles – Provides real-time price feeds & volatility data.

MEV Protection Tools – Integrated to prevent front-running & sandwich attacks.

🔐 Hosting & Security (Autonome Integration) To ensure secure execution and verifiability, the AI agent is hosted on Autonome, a platform for deploying autonomous AI agents.

Implementation Steps: ✅ Uploaded the AI agent framework onto Autonome. ✅ Created a hosted AI agent to run trading strategies in a verifiable environment. ✅ Built a user-facing interface with a ChatGPT-like UX, enabling users to interact with the agent.

🔗 Blockchain & API Integrations To enhance performance and data accuracy, we integrated with major blockchain APIs and DeFi infrastructure.

Key Integrations: ✅ Eliza framework ✅ Gaianet (Custom Gaia Node) – Provides a comprehensive knowledge base for AI-driven decision-making. ✅ Autonome ✅ Xtreamly API – Supplies real-time volatility forecasts to the AI agent. ✅ Autonome – Protects against front-running & ensures efficient trade execution. ✅ cookie dao API for mind-share data ingestion for better decision making

💡 Notable Innovations Multiagent Collaboration: Agents work together in real-time, optimizing decisions through collective input, enabling more accurate and efficient swap strategies.

Adaptive Agent Selection: The framework dynamically chooses the best-performing agents based on real-time market data, ensuring that users always receive the most effective advice and execution. Smart Exposure Management: Ensures balanced token exposure across multiple assets, minimizing risk and maximizing potential returns through an optimized swap management strategy. Optimized swap Execution – analyze and collaborative recommendation of best performers based on market volatility conditions, whale attention patterns, Process social signals before price movement.Track real-time mindshare metrics and Monitor whale attention patterns. to maximize capital efficiency without liquidation risks.

Autonome + TEE for AI Verifiability – usnig Autonome framework ensured tamper-proof AI execution for trustless automated trading.

🔮 Future Enhancements 📢 Social Media Sentiment Analysis: OpenAI models to detect influencer-driven trends. 🤖 Reinforcement Learning: Dynamic optimization of agent selection. 📉 Advanced Volatility Prediction: Improved ETH price correlation models. 🏦 Expanded Agent Pool: More specialized agents for granular decision-making. 🔎 Enhanced Cookie DAO Token Evaluation: New volatility-based investment strategies. 🤖 Mev protection integration Multiple integration with DEXes to make swap seamlessly

PS: We have selected AutoGen 🔄 as our framework due to its:

📡 Flexible API for defining agents and multi-agent communication.

🧠 Integration with human inputs, enabling AI-human collaboration.

🛠️ Streamlined workflows with built-in utilities like caching, API unification, and error handling.

Other frameworks such as LangChain, LangGraph, CrewAI, and AutoGPT also offer robust features. However, AutoGen stands out for its advanced capabilities in building complex, scalable multi-agent systems with an improved user experience.

1. AI-Powered Trading Agent Development The core of this project is an LLM-driven AI agent that autonomously selects, rebalances, and executes trading strategies based on real-time market conditions.

Technologies Used:

Eliza Framework: A production-ready AI framework deployed on Arbitrum and BASE for high-speed, low-cost execution. Gaianet (Custom Gaia Node): A decentralized knowledge base enhancing the AI agent’s decision-making abilities with deep insights. Collab.land’s AI Agent Starter Kit: For rapid development and seamless integration into the DeFi ecosystem. Xtreamly AI Models: Deliver real-time volatility predictions and quantitative analytics, enabling dynamic decision-making. Decision-Making Process: Market Volatility Classification: The agent uses xtreamly_volatility() to classify market conditions:

Low Volatility: Prioritizes stable, undervalued assets. High Volatility: Focuses on volatile, high-momentum assets. Token Selection: The agent selects the top 10 tokens based on a series of ranking functions, evaluating:

Market cap growth, price momentum, engagement metrics (social & trading activity), volatility, and risk-adjusted returns. Exposure Rebalancing & Execution:

Closes positions on non-selected tokens. Allocates funds equally across the new top 10 tokens. Executes transactions autonomously on-chain for seamless trading. 2. Smart Contract Deployment & Automation All trading logic is executed via smart contracts, ensuring transparency, trustlessness, and security.

Deployments:

Arbitrum Mainnet: Optimized for low-cost, high-speed execution.

Solidity: Core language for smart contract development. Hardhat: For testing, deployment, and debugging. Chainlink Oracles: Provides real-time price feeds and volatility data for reliable decision-making. 3. Hosting & Security (Autonome Integration) To ensure secure execution and verifiability, we hosted the AI agent on Autonome, a platform designed for deploying autonomous agents in trust-minimized environments.

Implementation Steps:

Uploaded the AI agent framework onto Autonome. Created a hosted AI agent to run trading strategies in a verifiable environment. Built a user-facing interface with a ChatGPT-like UX, enabling users to interact with and monitor the agent’s performance. 4. Blockchain & API Integrations We enhanced performance, data accuracy, and security by integrating with major blockchain APIs and DeFi infrastructure.

Key Integrations:

Lit Protocol: For secure access control and cryptographic tools. Gaianet: Providing a comprehensive knowledge base for AI-driven decision-making. Xtreamly API: Supplies real-time volatility forecasts to inform the agent’s decisions.

Innovative Approaches (What We Did Hacky) We pushed the boundaries of traditional DeFi strategies with some bold, hacky innovations:

Optimized Recursive Leverage Execution: We customized loan loops to maximize capital efficiency and minimize liquidation risks, enabling more flexible and resilient strategies. Smart Exposure Rebalancing: Our LLM agent dynamically adapts, closing underperforming positions and reallocating funds to higher-performing assets automatically—allowing the agent to respond to market fluctuations in real-time. Autonome + TEE for AI Verifiability: By hosting the agent on Autonome, we ensured tamper-proof AI execution, promoting trustless and automated trading that’s verifiable and secure. Multi-Layered MEV Protection: We designed gas-efficient transactions and implemented strategies to minimize MEV exploits, protecting traders from front-running and sandwich attacks.