An autonomous multi-strategy trading bot designed to scan and execute trades across all Polymarket prediction categories.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install polymarket-executor-skill
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-executor-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Polymarket Executor is a sophisticated autonomous trading system built for the Polymarket prediction ecosystem. As part of the Openclaw Skills library, this tool enables users to scan thousands of markets simultaneously—ranging from crypto and politics to sports and economics—to identify and exploit pricing inefficiencies. It operates with a safety-first approach, defaulting to a risk-free paper trading mode to validate strategies before deploying real capital.
By leveraging adaptive learning via integration with the polymarket-optimizer, the skill continuously refines its parameters like Kelly Criterion fractions and profit thresholds. This ensures that your trading strategy evolves alongside market conditions, making it a powerful addition to the Openclaw Skills collection for algorithmic traders.
First, navigate to your workspace directory. To start in paper mode (default), which requires no credentials, run the following commands:
cd /data/.openclaw/workspace/skills/polymarket-executor
python3 polymarket_executor.py
To transition to live mode with Openclaw Skills, export your credentials and disable paper mode:
export PAPER_MODE=false
export POLYMARKET_API_KEY="your_key"
export POLYMARKET_SECRET="your_secret"
export POLYMARKET_PASSPHRASE="your_passphrase"
python3 polymarket_executor.py
Note: Live execution requires a residential proxy to avoid datacenter IP blocks during order placement.
The skill maintains state through several JSON files to ensure transparency and optimizer compatibility:
| File Name | Description |
|---|---|
| paper_trades.json | Records all simulated trade entries, exits, and P&L. |
| portfolio.json | Tracks current capital, open positions, and daily performance. |
| performance_metrics.json | Aggregated stats used by the optimizer to refine strategy weights. |
| live_trades.jsonl | Append-only log of real blockchain executions. |
| learned_config.json | Dynamic configuration file containing the bot's operating logic. |
Loading
An institutional-grade quantitative market oracle providing real-time order book imbalance analysis and automated reporting via Telegram.

A high-priority security framework providing multi-layered protection against prompt injections, memory poisoning, and unauthorized tool execution.

A pay-per-request AI image generation API powered by Solana and the x402 protocol.

A specialized engine designed to optimize content for both AI search visibility and real-world business conversion metrics.

An automated parameter tuning engine that analyzes trading performance and adjusts strategy thresholds to maximize prediction market returns.

A local-first visual AI workflow builder that combines ComfyUI node flexibility with n8n automation power for LLM agents and RAG pipelines.








































