Claude + OpenClaw + WEEX: Build Autonomous AI Trading Agents for Crypto
A new infrastructure stack combines Claude AI, OpenClaw execution framework, WEEX exchange, and Telegram control to create autonomous trading agents. The guide covers VPS deployment, API integration, and execution scripts for automated market analysis and trade execution.
Most people still think AI trading bots are just: “If RSI below 30 → buy” That’s outdated Now you can build autonomous AI trading agents using: Claude + OpenClaw + WEEX
The stack works like this: Claude = brain OpenClaw = execution framework WEEX = exchange layer Telegram = control center AI reads market data, executes trades and manages positions automatically
We’re entering a market where traders with AI infrastructure will massively outperform manual traders If you want more breakdowns on: * OpenClaw * AI execution systems * automated trading infra * advanced strategy setups Join the free community: https://t.me/TRACE_ACCESS_BOT/?start=ARTWTRD7
STEP 2 - deploy OpenClaw on a VPS Install it with: npm install -g openclaw@latest Then initialize the daemon: openclaw onboard --install-daemon Check status: openclaw gateway status
STEP 3 - connect Claude + Telegram Open your .env file inside: ~/.openclaw/workspace Then add: ANTHROPIC_API_KEY=your_key TELEGRAM_BOT_TOKEN=your_token WEEX_PUBLIC_KEY=your_key WEEX_SECRET_KEY=your_secret
After restarting OpenClaw your Telegram bot becomes linked directly to the AI agent Now you can control the entire infrastructure from your phone
STEP 4 - create the execution layer Inside your workspace create: weex_core.py Core logic looks like this: import os import requests import hmac import hashlib import time
Inside the execution script define: class WeexEngine: Then add: * API auth * signature generation * market order execution * sandbox simulation This becomes the bridge between AI and WEEX