AI Staking Agents

AI-powered agents for automated DeFi staking recommendations. Membantu user pemula dalam memilih protokol staking terbaik berdasarkan real-time data.

Features

• Data Collection Agent: Mengumpulkan data dari berbagai protokol DeFi (APY, TVL, rewards)
• Risk Assessment Agent: Mengevaluasi risk profile setiap protokol
• Analysis Agent: Memberikan rekomendasi staking terbaik
• Execution Agent: (Optional) Menjalankan transaksi staking
• Rebalancing Agent: Menganalisis portfolio dan memberikan rekomendasi rebalancing berdasarkan perubahan APY, risk, dan waktu
• Portfolio Service: Integrasi dengan backend API untuk portfolio management

Architecture

User Input → Data Collection → Risk Assessment → Analysis → Recommendation → Execution

Data Sources

• DeFiLlama API (APY & TVL data)
• CoinGecko API (Price data)
• On-chain data via RPC providers

Installation

npm install

Configuration

1. Copy .env.example to .env
2. Fill in your API keys

Usage

Staking Recommendations

import { StakingOrchestrator } from './src/orchestrator.js';

const orchestrator = new StakingOrchestrator();

const recommendation = await orchestrator.getStakingRecommendation({
  amount: 1000, // USDT
  riskTolerance: 'low', // low, medium, high
  timeHorizon: '30days' // 7days, 30days, 90days, 1year
});

console.log(recommendation);

Portfolio Rebalancing

import { StakingOrchestrator } from './src/orchestrator.js';

// Initialize with backend configuration
const orchestrator = new StakingOrchestrator({
  backend: {
    backendURL: 'http://localhost:3000/api',
    apiKey: 'your-api-key',
  },
  rebalancing: {
    apyChangePercent: 15, // Trigger if APY changes > 15%
    riskScoreChange: 1.5, // Trigger if risk score changes > 1.5
    timeIntervalDays: 30, // Check every 30 days
  },
});

// Check portfolio for rebalancing opportunities
const analysis = await orchestrator.checkRebalancing('portfolio_id', {
  riskTolerance: 'medium',
});

if (analysis.shouldRebalance) {
  console.log('Rebalancing suggested!');
  console.log('Triggers:', analysis.triggers);
  console.log('Suggestions:', analysis.suggestions);
  console.log('Estimated Impact:', analysis.estimatedImpact);
}

// Get rebalancing history
const history = await orchestrator.getRebalanceHistory('portfolio_id');

// Simulate rebalancing before execution
const simulation = await orchestrator.simulateRebalancing('portfolio_id', rebalancePlan);

See src/rebalancing-examples.js for complete examples.

Example Output

{
  "recommended": {
    "protocol": "Lido",
    "asset": "ETH",
    "apy": "3.8%",
    "tvl": "$14.2B",
    "risk": "low",
    "reason": "Highest TVL with stable returns and low risk"
  },
  "alternatives": [...]
}

License

MIT