OptimalAI
AI-Powered DeFi Portfolio Manager for Secure, Autonomous, and Optimized Investments
Created on 11th February 2025
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OptimalAI
AI-Powered DeFi Portfolio Manager for Secure, Autonomous, and Optimized Investments
The problem OptimalAI solves
DeFi users face significant challenges in managing their portfolios across multiple protocols, including:
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Complexity: Manually tracking and reallocating funds across protocols like Aave, Compound, and Uniswap is time-consuming and error-prone.
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Inefficiency: Without real-time yield optimization, users miss out on the best opportunities for maximizing returns.
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Risk: Managing collateral, liquidity, and arbitrage opportunities requires constant monitoring and expertise.
OptimalAI solves these problems by:
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Automating Portfolio Management: Using AI to dynamically reallocate funds to the highest-yielding opportunities.
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Simplifying Cross-Protocol Interactions: Providing a unified interface for lending, borrowing, liquidity provision, and arbitrage.
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Enhancing Security: Implementing robust access control, whitelisted addresses, and protocol-specific safety checks.
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Enabling Autonomous Execution: Allowing users to set strategies that execute without manual intervention.
With OptimalAI, users can:
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Maximize yields across DeFi protocols.
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Reduce risks through automated collateral management and slippage protection.
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Save time by automating complex DeFi operations.
Challenges we ran into
- Cross-Protocol Integration:
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Integrating multiple protocols (Aave, Compound, Uniswap, Balancer) required handling different interfaces and data structures.
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Solution: We created a modular ProtocolHelper contract to standardize interactions and simplify integration.
- Flash Loan Arbitrage:
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Implementing flash loan-based arbitrage required precise timing and execution to ensure profitability.
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Solution: We built the OptimalArbitrage contract with robust error handling and slippage protection.
- Gas Optimization:
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Deploying and interacting with multiple contracts on-chain was gas-intensive.
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Solution: We optimized contract logic, batched approvals, and used Foundry for gas-efficient testing.
- Cross-Chain Deployment:
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Deploying on multiple chains (Arbitrum, Avalanche, Base Sepolia) required handling network-specific configurations.
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Solution: We used the HelperConfig contract to manage network-specific addresses and settings.
- AI Integration:
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Combining on-chain execution with off-chain AI decision-making posed synchronization challenges.
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Solution: We implemented a whitelisted address system to allow AI agents to execute strategies securely.
Tracks Applied (9)