Spinor is a decentralized platform that enables users to create and manage their own AI-powered yield trading agents. By leveraging OpenAI for market analysis and Gelato Relayers for execution, Spinor optimizes returns across Liquid Staking Tokens (LSTs) and Liquid Restaking Tokens (LRTs).
SpinorAgent leverages Gelato Relay for gasless and automated trading. Here's how it works:
- All AI agent trades are executed through Gelato's
sponsoredCallfeature - Transactions are sponsored by the protocol, meaning users don't need to pay gas fees
- Each trade is securely processed and monitored through Gelato's infrastructure
- Uses Gelato Relay SDK for transaction submission
- Handles both arbitrage and regular trading operations
- Monitors transaction status and confirms execution
- Automatically retries failed transactions
- Each transaction is validated before execution
- Uses secure API keys for authentication
- Implements proper error handling and transaction monitoring
- Follows Gelato's security best practices
// Create relay request
const request = {
chainId: chainId,
target: contractAddress,
data: encodedFunctionData
};
// Submit transaction through Gelato
const response = await relay.sponsoredCall(request, sponsorKey);
// Monitor transaction status
const taskStatus = await relay.getTaskStatus(response.taskId);-
Best LST Strategy
- Selects optimal LST based on user's risk profile
- APY range: 3%-7%
- Risk-based token selection and swap execution
- Continuous performance monitoring
-
Best LST + Liquidity
- Combines LST investment with liquidity provision
- Initial swap followed by pool liquidity addition
- Enhanced returns through trading fees
- Automated position management
-
Best LRT Strategy
- Identifies optimal LRT based on risk assessment
- APY range: 7%-12%
- Higher yield potential with managed risk
- Real-time market analysis
-
Best LRT + Liquidity
- LRT investment with liquidity provision
- Strategic position sizing in pools
- Dual yield sources (LRT rewards + LP fees)
- Automated rebalancing
-
Arbitrage Strategy
- Cross-pool arbitrage between primary and secondary pools
- Automated opportunity detection and execution
- Risk-free returns from market inefficiencies
- Real-time price monitoring
Risk Levels (1-4):
- Level 1: Ultra-conservative, prioritizing stability
- Lower APY (3%-4% for LST, 7%-8% for LRT)
- Minimal slashing history
- Level 2: Balanced risk-reward approach
- Moderate APY (4%-5% for LST, 8%-9% for LRT)
- Low slashing history
- Level 3: Growth-oriented with managed risk
- Higher APY (5%-6% for LST, 9%-10% for LRT)
- Moderate slashing history
- Level 4: Aggressive yield optimization
- Maximum APY (6%-7% for LST, 10%-12% for LRT)
- Higher slashing history tolerance
spinor/
├── ai-trader/ # AI Trading Agent Service
├── backend/ # Backend API & Swap Bot
├── client/ # Frontend Application
└── hardhat/ # Smart Contracts & Deployment
- Factory:
0x258Ca93BC0EBBaEDf8f3728e6B15C792a4f81Ea4 - Router:
0xbad4cd744F1aFf811859Ba9523Bd0bb3a766913D - USDC:
0x5b4Df904F6DDb52fa6c92a8e175d44B89bEec30b
- Factory:
0xb16B38Ba7c189d4aAe20A36c7643150C55B4c43C - Router:
0x4abF7832035d137Da8cD9165443419437BADdb9d
- SpinorAgent:
0x1151180290CAa1Ab4e3d9d9E5C226Af6259b7f87 - SpinorHistory:
0xB1ea9b87B5F7551F15aa620970ED13E4C0A85eC8
- LST1:
0x765eC58a58B1De2F14Ca6a88f0c4CD8967BBeadF - LST2:
0x583244c44d04d6FFe9693Def783F39492852D664 - LST3:
0xb3CbfB95A57318A8764F0533F5e43600daf18B07 - LST4:
0x22a994FC9e4799AD4878075a9d43579D42D712F9
- LRT1:
0xd579B67eb5dBe576A5D94260778bFE969139441d - LRT2:
0xC36232cdffb63D88AC7B36A3d94025535a9179f2 - LRT3:
0x9EfDd2E0E9A55378626cB244997B2763d0D2ec1F - LRT4:
0x279CED13DfE2A4373A72EEdD1382DE4F39152bB0
For detailed setup instructions, please refer to each component's README:
Basic setup steps:
# Clone the repository
git clone https://github.com/AliErcanOzgokce/spinor.git
cd spinor
# Follow the setup instructions in each component's README- `/api/pool-reserves`: Returns primary pool data including APY and slashing metrics
- `/api/agent-info`: Returns agent configuration and balances
- `/api/agents`: Retrieves all created agent addresses
- `/api/trade-history`: Fetches agent's trading history
- `/api/user-balances`: Returns user's token balances
- Gelato Relayers: Automated transaction execution
- OpenAI GPT-3.5: Market analysis and strategy optimization
- ABC Test Network: Development and testing environment
- Uniswap V2: AMM infrastructure (dual pool system for arbitrage)
- Node.js & Express: API server
- TypeScript: Type-safe development
- ethers.js: Blockchain interaction
- Gelato Relay SDK: Transaction automation
- Hardhat: Development environment
- Solidity: Smart contract language
- OpenZeppelin: Security standards
- Uniswap V2: DEX implementation
- Multi-agent management system
- Advanced portfolio analytics
- Integration with major DEXes
- Cross-chain support planning
- Twitter sentiment analysis integration
- Real-time market data feeds
- Enhanced risk management features
- Public Testnet Launch
- Advanced AI strategy customization
- Adding other trading strategies
- Mainnet Launch
- Osman Gocer - Strategy & Growth
- Ali Ercan Ozgokce - Fullstack Blockchain & AI Deveveloper
- Zeynep Sude Kacar - Marketing & Community
- Mehmet Güngör - Product & Strategy
This project is licensed under the MIT License - see the LICENSE file for details.