polymarket-arbitrageMonitor and execute arbitrage opportunities on Polymarket prediction markets. Detects math arbitrage (multi-outcome probability mismatches), cross-market arbitrage (same event different prices), and orderbook inefficiencies. Use when user wants to find or trade Polymarket arbitrage, monitor prediction markets for opportunities, or implement automated trading strategies. Includes risk management, P&L tracking, and alerting.
Install via ClawdBot CLI:
clawdbot install JohnY0920/polymarket-arbitrageGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://polymarket.comUses known external API (expected, informational)
api.telegram.orgAudited Apr 17, 2026 · audit v1.0
Generated Mar 1, 2026
A firm specializing in algorithmic trading uses this skill to identify and execute math arbitrage opportunities on Polymarket. They integrate it with their existing risk management systems to automate trades, focusing on high-volume markets with edges above 3% to generate consistent returns.
A hedge fund diversifies into prediction markets by deploying this skill to monitor Polymarket for inefficiencies. They use it for paper trading initially to validate opportunity frequency, then scale up with manual trades to hedge against traditional market volatility.
A retail trader with experience in crypto markets uses this skill to find low-risk arbitrage opportunities. They follow the phased workflow, starting with paper trading and micro-testing small amounts to learn mechanics before scaling up positions cautiously.
A startup building a platform for automated prediction market trading integrates this skill as a core module. They leverage it to offer arbitrage monitoring services to clients, with alerts and P&L tracking, while planning future automation features.
A university research team studies market efficiency in prediction markets by using this skill to collect data on arbitrage opportunities. They analyze frequency, edge sizes, and liquidity to publish insights on decentralized finance dynamics.
Offer this skill as a cloud-based service where users pay a monthly fee for access to real-time arbitrage alerts, analytics dashboards, and API integrations. Revenue comes from tiered subscriptions based on features like alert frequency or data depth.
Provide consulting services to help firms or individuals set up and optimize the skill for their specific needs, including custom risk management rules and integration support. Revenue is generated through hourly rates or project-based fees.
Deploy the skill in-house to execute trades automatically, sharing a percentage of the profits with users who provide capital. This model requires advanced automation and compliance, focusing on scalable, high-frequency opportunities.
💬 Integration Tip
Start with paper trading using the monitor script to validate opportunity quality before integrating with live trading systems, and ensure strict adherence to the 5% position size rule to manage risk.
Scored Apr 19, 2026
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