A high-frequency AI trading bot designed to automate BTC prediction market trades on Polymarket using dual-signal logic and real-time decision-making.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install polymarket-btc-trader
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install polymarket-btc-trader using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill provides a fully automated solution for trading the Bitcoin 5-minute Up/Down markets on Polymarket. By leveraging Openclaw Skills, developers can deploy a sophisticated trading agent that combines Large Language Model (LLM) analysis with technical price gap arbitrage. The bot is designed for precision, requiring agreement from both its AI decision engine and its quantitative strategy before executing any on-chain transactions.
It features a comprehensive Web Control Panel that allows users to monitor win rates, current holdings, and the specific reasoning steps taken by the AI for every trade. With support for multiple AI providers like MiniMax, OpenAI, and SiliconFlow, it offers flexibility for different regional and performance requirements.
To get started with this skill in the Openclaw Skills library, follow these steps:
# 1. Enter the bot directory and install dependencies
cd polymarket-btc-bot
bash scripts/install.sh
# 2. Configure your environment (Add your API keys and Wallet Private Key)
cp references/.env.example .env
nano .env
# 3. Launch the Trading Bot
bash scripts/bot_start.sh
# 4. Launch the Web Control Panel
bash scripts/panel_start.sh
# Access the dashboard at http://localhost:18095
The skill organizes its configuration and operational data as follows:
| Data Component | Format | Description |
|---|---|---|
.env |
Environment File | Contains API keys for AI providers, wallet private keys, and strategy parameters. |
bot.log |
Log File | Records every trade action, AI prompt response, and system event. |
status_server.py |
Python Service | Managed the WebSocket/HTTP data for the web monitoring dashboard. |
references/STRATEGY.md |
Markdown | Documentation of the underlying quantitative and arbitrage formulas. |
KELLY_FRACTION parameter for advanced position sizing and bankroll management.Loading
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