polymarket-edgeTrade and analyse Polymarket prediction markets with a 5-minute BTC EMA crossover strategy. Browse markets, read order books, run signals, manage a live auto...
Install via ClawdBot CLI:
clawdbot install icloud-git/polymarket-edgeGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:8080/autotrader/start?user_id=alice&auto_trade=trueCalls external URL not in known-safe list
http://localhost:8080/docs`.Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A crypto-focused trading platform offers this skill to users as a premium signal generator for Polymarket prediction markets. Users pay per signal call via SkillPay to receive automated BUY_YES/BUY_NO recommendations based on EMA crossovers, helping them make data-driven trading decisions without manual analysis.
A quantitative trading firm integrates this skill into their automated trading infrastructure to execute algorithmic strategies on Polymarket. The firm uses the auto-trader functionality with their private key to run continuous 5-minute cycles, placing live trades based on EMA signals while managing risk through spread and price filters.
A financial research company uses this skill to analyze Polymarket markets for clients. Researchers call the market data endpoints to gather order books, price history, and implied probabilities, then use the signal endpoint to backtest EMA strategies across different market conditions for research reports.
A trading education platform integrates this skill to teach students about prediction market strategies. Students use the skill with test user IDs to practice market analysis, run signals without live trading, and understand EMA crossover mechanics in a controlled, per-call billed environment that mimics real trading costs.
A crypto portfolio tracking service adds this skill to provide users with integrated Polymarket position monitoring. Users connect their wallet addresses to view open positions and USD values alongside other crypto holdings, while paying per API call for updated market data and portfolio valuations.
The skill operates as a metered API where each endpoint call costs 1 token (0.001 USDT). Users top up USDT via BNB Chain payments, with SkillPay taking a 5% fee. This model aligns costs directly with usage, making it accessible for occasional users while generating revenue from high-frequency traders.
A business bundles the signal and auto-trader endpoints into a subscription package for active traders. Subscribers pay a monthly fee for unlimited signal calls and auto-trader access, while the business manages the underlying SkillPay billing and potentially offers enhanced features like custom strategy parameters.
The skill is licensed to other platforms (exchanges, trading apps) as white-label trading infrastructure. These platforms rebrand and integrate the skill into their interfaces, paying a licensing fee or revenue share while their end-users benefit from the EMA strategy and market data without managing the backend.
💬 Integration Tip
Ensure proper environment variable setup for SKILL_BILLING_API_KEY and SKILL_ID before deployment, and implement user_id tracking in your application to pass it in all endpoint queries for billing.
Scored Apr 19, 2026
Query and trade on Polymarket prediction markets — check odds, trending markets, search events, view order books, place trades, and manage positions. Now ava...
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