opportunity

Detect and execute cross-platform arbitrage trades across prediction markets.

650|137|Updated Jan 26, 2026

Search Tags:#automation #finance #trading #crypto #arbitrage #prediction markets

Ready to run

npx skills add https://github.com/alsk1992/CloddsBot --skill opportunity

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: opportunity
Source: https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/opportunity
Command: npx skills add https://github.com/alsk1992/CloddsBot --skill opportunity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the discovery and execution of profitable arbitrage opportunities across various prediction markets and exchanges, turning market inefficiencies into guaranteed profits.

Core Features & Use Cases

Cross-Platform Arbitrage: Identifies price discrepancies for the same market across different platforms (e.g., Polymarket vs. Kalshi).
Real-Time Monitoring: Continuously scans for new opportunities and alerts users to expiring ones.
Automated Execution: Facilitates the execution of trades to capture identified arbitrage spreads.
Use Case: Automatically find and execute trades when a market on Polymarket is priced lower than on Kalshi, locking in a risk-free profit.

Quick Start

Scan all platforms for arbitrage opportunities with at least a 2% edge.

Frequently Asked Questions about opportunity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How does cross-platform arbitrage work across prediction markets like Polymarket and Kalshi?▼

Cross-platform arbitrage identifies price discrepancies for identical prediction market outcomes across platforms like Polymarket and Kalshi. By buying lower on one exchange and selling higher on another, you capture risk-free profit from market inefficiencies.

How do I automate finding and executing arbitrage opportunities in prediction markets?▼

You can automate arbitrage execution by leveraging real-time data feeds and market analysis to detect price discrepancies. The system scans platforms continuously and facilitates automated trades to capture spreads when opportunities arise.

Do I need API access to execute crypto and prediction market arbitrage trades?▼

Yes, executing arbitrage trades requires API access to platforms like Polymarket, Kalshi, and Betfair. API connections enable the real-time data feeds and automated trade execution necessary to capture expiring cross-platform opportunities.

What's the best way to monitor price discrepancies across crypto exchanges in real time?▼

The best way to monitor price discrepancies is using a tool that continuously scans linked markets across exchanges with real-time data feeds. This approach alerts you to new arbitrage opportunities and warns you when spreads expire.

Can I set a minimum edge threshold for arbitrage opportunity scanning?▼

Yes, you can configure a minimum edge threshold, such as a 2% spread, for scanning arbitrage opportunities. This ensures the system only flags cross-platform trades that meet your specific risk modeling and profitability requirements.

What are the limitations of automated prediction market arbitrage?▼

Automated arbitrage limitations include dependency on platform API reliability, execution latency, and market liquidity. Risk modeling is required because price discrepancies may expire before trades execute, potentially eliminating the guaranteed profit spread.