OpenClaw

polymarket-bot

Automate Polymarket bot operations including fetching market data, placing trades, and implementing strategies like arbitrage. Use when users need to build or run bots for prediction markets, monitor prices, or execute trades on the Polygon blockchain.

deliverydriver0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install deliverydriver/polymarket-bot

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Polymarket Bot Skill

Overview

This skill enables the creation and operation of a Polymarket bot for tasks such as fetching active markets, monitoring prices, placing orders, and running strategies. It's designed for users involved in cryptocurrency prediction markets, helping automate interactions via the Polymarket APIs while minimizing risks.

Quick Start

To get started, use the scripts in this skill to initialize and run a basic bot. For example, execute scripts/fetch_markets.py to retrieve active markets, then use scripts/bot_strategy.py for arbitrage checks.

Task-Based Structure

This skill is organized by tasks from the SOP, providing modular components for bot development.

Step 1: Research and Setup Prerequisites

Review Polymarket APIs (Gamma, CLOB, Data) as outlined in the SOP.
Ensure tools like Python and Web3.py are installed.
Reference references/api_guide.md for detailed API usage.

Step 2: Define Bot Functionality and Strategy

Implement core features like data fetching and trade execution.
Use prompts in references/prompts.md to generate code for strategies.
Example: Run scripts/strategy_logic.py for arbitrage detection.

Step 3: Development Phases

Data Fetching Module: Use scripts/fetch_markets.py to query markets.
Authentication and Trading Setup: Handle in scripts/auth_setup.py.
Testing and Deployment: Test with scripts/test_bot.py and deploy via references.

Step 4: Potential Challenges and Mitigations

Reference references/challenges.md for rate limits, fees, and security tips.

Step 5: Resources

See below for scripts and references based on the SOP.

Resources

scripts/

fetch_markets.py: Script to fetch and parse market data from Polymarket APIs.
auth_setup.py: Handles authentication and deriving API keys.
strategy_logic.py: Implements bot strategies like arbitrage.
bot_integration.py: Combines phases into a full bot script.

references/...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/deliverydriver/polymarket-bot
Version: —
Commit: 136f39586803ae2bc7bc173686719a24733463bd
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Polymarket Bot Skill

## Overview
This skill enables the creation and operation of a Polymarket bot for tasks such as fetching active markets, monitoring prices, placing orders, and running strategies. It's designed for users involved in cryptocurrency prediction markets, helping automate interactions via the Polymarket APIs while minimizing risks.

## Quick Start
To get started, use the scripts in this skill to initialize and run a basic bot. For example, execute `scripts/fetch_markets.py` to retrieve active markets, then use `scripts/bot_strategy.py` for arbitrage checks.

## Task-Based Structure
This skill is organized by tasks from the SOP, providing modular components for bot development.

### Step 1: Research and Setup Prerequisites
- Review Polymarket APIs (Gamma, CLOB, Data) as outlined in the SOP.
- Ensure tools like Python and Web3.py are installed.
- Reference `references/api_guide.md` for detailed API usage.

### Step 2: Define Bot Functionality and Strategy
- Implement core features like data fetching and trade execution.
- Use prompts in `references/prompts.md` to generate code for strategies.
- Example: Run `scripts/strategy_logic.py` for arbitrage detection.

### Step 3: Development Phases
- **Data Fetching Module**: Use `scripts/fetch_markets.py` to query markets.
- **Authentication and Trading Setup**: Handle in `scripts/auth_setup.py`.
- **Testing and Deployment**: Test with `scripts/test_bot.py` and deploy via references.

### Step 4: Potential Challenges and Mitigations
- Reference `references/challenges.md` for rate limits, fees, and security tips.

### Step 5: Resources
- See below for scripts and references based on the SOP.

## Resources

### scripts/
- `fetch_markets.py`: Script to fetch and parse market data from Polymarket APIs.
- `auth_setup.py`: Handles authentication and deriving API keys.
- `strategy_logic.py`: Implements bot strategies like arbitrage.
- `bot_integration.py`: Combines phases into a full bot script.

### references/...

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