🤖 Ava the Portfolio Manager

🤖 Ava the Portfolio Manager

Multiple specialized autonomous AI agents with powerful tools work together to analyze, recommend, and execute optimal DeFi strategies while maintaining user-defined risk parameters and portfolio

Created on 2nd December 2024

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🤖 Ava the Portfolio Manager

🤖 Ava the Portfolio Manager

Multiple specialized autonomous AI agents with powerful tools work together to analyze, recommend, and execute optimal DeFi strategies while maintaining user-defined risk parameters and portfolio

The problem 🤖 Ava the Portfolio Manager solves

Multiple specialized autonomous AI agents with powerful tools work together in collaberation to analyze, recommend, and execute optimal DeFi strategies while maintaining user-defined risk parameters and portfolio goals currently live on Avalanche , Mode , Base, powered by Brian AI and LangChain

  • risk parameters and portfolio balance
  • Provides real-time feedback and execution status

🎯 Problem Statement

Managing DeFi portfolios across multiple protocols on Avalanche can be complex and time-consuming.

Users need to:

  • Monitor multiple positions across different protocols
  • Execute complex multi-step transactions
  • Stay updated with the latest crosschain yield opportunities
  • Maintain desired portfolio allocations
  • React quickly to market changes

💡 Solution

An autonomous AI agent that manages your Avalanche DeFi portfolio by:

  • Understanding high-level goals in natural language
  • Breaking down complex operations into executable steps
  • Automatically executing transactions when needed
  • Providing real-time updates and progress tracking
  • Maintaining portfolio balance according to user preferences

<img alt="Screenshot 2024-12-01 at 11 15 43 AM" src="https://github.com/user-attachments/assets/30b63286-fd80-

🌟 Key Features

1. Natural Language Interface

  • Express portfolio goals in plain English
  • No need to understand complex DeFi terminology
  • AI translates intentions into actions

2. Autonomous Execution

  • Breaks down complex goals into steps
  • Executes transactions automatically
  • Handles error recovery
  • Provides progress updates

3. Portfolio Management

  • Multi-protocol position monitoring
  • Yield optimization
  • Risk management
  • Rebalancing capabilities

4. Real-time Updates

  • Live execution status
  • Progress tracking
  • Transaction confirmations
  • Performance metrics

5. Agoric Orchestration

  • Execute and monitor complex workflows
  • Orchestrate multi-step operations
  • Integrate with external APIs
  • Handle errors

Challenges I ran into

📋 Example Use Cases

I'll update the Example Use Cases section in the README.md based on the example scenarios from page.tsx:

## 📋 Example Use Cases ### 1. Portfolio Optimization ```text User: "I have 10 AVAX and want to optimize my portfolio between lending, liquidity provision, and trading. What's the best strategy right now?" Agent Collaboration Flow: 1. Portfolio Manager analyzes request and current market conditions 2. DeFi Analytics Agent provides real-time data: - Aave AVAX lending APY: 1.77% - Uniswap AVAX-USDC pool APR: 43.893% - Curve Blizz pool APY: 1.58% - DeFi TVL trend: +5% weekly 3. Trading Agent evaluates market opportunities 4. Liquidity Agent assesses pool stability 5. Portfolio Manager provides final allocation strategy

2. Risk-Managed Yield Farming

User: "Find me the highest yield opportunities while maintaining moderate risk levels" Agent Collaboration Flow: 1. Portfolio Manager evaluates risk parameters 2. DeFi Analytics Agent scans protocols: - Protocol TVL analysis - Smart contract audit status - Historical yield stability 3. Risk Assessment Agent performs: - Protocol risk scoring - Impermanent loss calculation - Market volatility analysis 4. Final recommendation with risk-adjusted returns

3. Multi-Protocol Optimization

User: "Distribute 5000 USDC across lending platforms for the best risk-adjusted returns" Agent Collaboration Flow: 1. DeFi Analytics Agent scans lending markets: - Protocol-specific APYs - Total deposits - Utilization rates 2. Risk Agent evaluates: - Protocol security - Market conditions - Collateral factors 3. Portfolio Manager executes: - Optimal distribution - Position monitoring - Auto-rebalancing setup

Tracks Applied (11)

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