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 = Account.from_key(private_key)
w3 = AsyncWeb3(AsyncWeb3.AsyncHTTPProvider(rpc_url))
```

## Step 2: Connect to DEX Aggregators

```python
import aiohttp

async def get_1inch_quote(chain_id, token_in, token_out, amount):
    async with aiohttp.ClientSession() as session:
        url = f"https://api.1inch.dev/swap/v6.0/{chain_id}/quote"
        params = {"src": token_in, "dst": token_out, "amount": amount}
        headers = {"Authorization": "Bearer YOUR_1INCH_KEY"}
        async with session.get(url, params=params, headers=headers) as resp:
            return await resp.json()
```

## Step 3: Implement Arbitrage Logic

```python
async def find_arbitrage():
    # Check USDC -> WETH -> USDT cycle
    quote1 = await get_1inch_quote(11155111, USDC, WETH, 1000_000000)
    quote2 = await get_1inch_quote(11155111, WETH, USDT, quote1["dstAmount"])

    profit = (quote2["dstAmount"] / 1e6) - 1000
    return profit > 10  # $10 minimum
```

## Step 4: Execute with Safety Checks

```python
async def execute_with_safety(signal, max_position=1000):
    if signal.profit < 10:
        return "Below minimum profit"
    if signal.amount > max_position:
        return "Exceeds position limit"

    # Execute via 1inch swap endpoint
    # ... implementation
```

## Deployment

Run as a background service with proper monitoring and alerting.



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