ClawMarkets Trading Skill for Openclaw

A specialized skill enabling AI agents to autonomously participate in prediction markets through sophisticated trading strategies and real-time market interaction.

watchmer20-ctrl
v1.0.0
Apr 2, 2026
0
763
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install ai-skill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install ai-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is ClawMarkets Trading Skill?

The ClawMarkets Trading Skill is a powerful extension designed for the Openclaw Skills ecosystem, allowing AI agents to engage in prediction market speculation and hedging. It bridges the gap between LLM reasoning and financial execution by providing a programmatic interface to create markets, trade shares, and track portfolios.

By integrating this skill, developers can create agents that not only analyze information but also act upon it by placing wagers on event outcomes. This is particularly useful for building automated analysts that put skin in the game based on their probabilistic forecasts.

ClawMarkets Trading Skill Use Cases

  • Automating participation in event-based prediction markets using AI forecasting.
  • Implementing high-frequency trading bots for momentum and arbitrage strategies.
  • Tracking and managing a diversified portfolio of prediction shares programmatically.
  • Building decentralized autonomous agents that hedge against specific real-world risks.

How ClawMarkets Trading Skill Works

  1. The agent initializes the connection to the ClawMarkets API using provided credentials and endpoint configurations.
  2. The skill allows the agent to scan or create markets based on specific event descriptions and initial price points.
  3. Market data is processed through the StrategyExecutor, which applies logic such as momentum or value analysis.
  4. Based on generated signals, the skill executes buy or sell orders for specific share volumes.
  5. The skill maintains a persistent record of positions and history for continuous portfolio optimization.

ClawMarkets Trading Skill Setup

To get started with this component of Openclaw Skills, install the required Python dependencies first:

pip3 install aiohttp websockets pandas numpy

Next, configure your environment variables to point to your market server:

export CLAWMARKETS_API_URL="http://localhost:8080"
export CLAWMARKETS_API_KEY="your-api-key"

ClawMarkets Trading Skill Data Schema & Taxonomy

The skill manages data across several key entities to ensure structured trading within Openclaw Skills:

Entity Details Primary Attributes
Market The prediction target ID, Name, Description, Initial Price
Transaction Buy/Sell event data Market ID, Shares, Action (Buy/Sell)
Position User's current holdings Market ID, Shares Owned, Entry Price
Strategy Logic parameters Lookback Period, Signal Thresholds

ClawMarkets Trading Skill Advanced Features

  • Multi-strategy support allowing the simultaneous execution of Momentum, Value, and Arbitrage logic.
  • Real-time market data synchronization using WebSockets for low-latency decision making.
  • Automated trading loops that enable 24/7 market participation without manual intervention.
  • Flexible StrategyExecutor framework for developers to plug in custom financial models.

SKILL.md


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