Strategy Simulation

Use Case: Test trading strategies or cross-chain logic in a safe, isolated environment with real data before deploying them live. How Treza Helps: Run deterministic simulations in enclave containers with access to historical data and mock signer keys — no risk to real funds.

Examples:

• Backtest arbitrage strategies with different parameters

• Simulate trade execution latency across chains

• Benchmark PnL of AI-generated logic

import { TrezaClient } from '@treza/sdk'

const client = new TrezaClient({
  apiKey: process.env.TREZA_API_KEY,
})

// Backtest a simple moving average strategy on historical SOL/USDC data
const task = {
  taskName: '0xbacktest_sma_01', // strategy logic for simulation
  inputs: {
    pair: 'SOL/USDC',
    fromDate: '2024-05-01',
    toDate: '2024-06-01',
    params: {
      shortWindow: 10,
      longWindow: 30,
    },
    simulate: true, // flag Treza to run in backtest mode
  },
  mode: 'simulate',
}

async function runBacktest() {
  const result = await client.submitTask(task)
  console.log('Backtest Results:', result.performanceMetrics)
}

runBacktest()

🧪 Use mode: 'simulate' to backtest your agent logic in a secure enclave with historical data. No real capital is touched.