{
  "id": 4167481,
  "title": "How to Build an Autonomous Trading Agent with Python",
  "url": "https://urgent.news/2026/08/29/how-to-build-an-autonomous-trading-agent-with-python",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-08-29T10:33:40.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/naren_karthi/how-to-build-an-autonomous-trading-agent-with-python-3a94"
  },
  "original_language": "en",
  "account": "Building an Autonomous Trading Agent with Python\n\nPrerequisites\nTo create an autonomous trading agent, you need Python 3.10 or higher, the Web3.py library for blockchain interaction, aiohttp for API calls, and an NVIDIA NIM API key for AI reasoning.\n\nSetting Up Wallet Connection\nThe first step is to establish a wallet connection using the private key and RPC URL. The provided code imports the necessary Web3 and Account classes from web3 and eth_account modules. It then creates an account instance from the private key and sets up the Web3 provider with the provided RPC URL.\n\nConnecting to DEX Aggregators\nNext, the code demonstrates how to connect to decentralized exchange (DEX) aggregators using aiohttp for asynchronous API calls. The get_1inch_quote function takes the chain ID, token in/out, and amount as parameters. It constructs the API URL, sets the headers with the 1inch API key, and sends a GET request to retrieve the best trading quote.\n\nImplementing Arbitrage Logic\nThe find_arbitrage function implements the core logic for finding arbitrage opportunities. It checks the USDC - WETH - USDT cycle by obtaining quotes from the 1inch aggregator for each leg of the trade. It then calculates the profit by comparing the final quote amount with the initial amount, considering a minimum profit threshold of $10.\n\nExecuting with Safety Checks\nBefore executing any trade, the code performs safety checks using the execute_with_safety function. It verifies that the calculated signal profit is above the minimum threshold of $10 and that the signal amount does not exceed the maximum position limit of 1000 units. If either condition fails, the function returns early, preventing execution.\n\nDeployment\nTo deploy the autonomous trading agent, it should be run as a background service with proper monitoring and alerting mechanisms in place. The code is built using Python, leveraging libraries like Web3.py for blockchain interaction and aiohttp for asynchronous API calls. It aims to generate autonomous trading signals for profit generation.",
  "summary": "How to Build an Autonomous Trading Agent with Python ## Prerequisites - Python 3.10+ - Web3.py for blockchain interaction - aiohttp for API calls - NVIDIA NIM API key for AI reasoning ## Step 1: Set Up Wallet Connection ```python from web3 import AsyncWeb3 from eth_account import Account private_key = \"your_private_key\" rpc_url = \"https://eth-sepolia.g.alchemy.com/v2/your_key\" account =…",
  "key_points": [
    "Requires Python 3.10+, Web3.py, aiohttp, NVIDIA NIM API key",
    "Establishes wallet connection with private key and RPC URL",
    "Connects to DEX aggregators using aiohttp for asynchronous API calls"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}