polymarket-ai-divergenceFind markets where Simmer's AI consensus diverges from the real market price, then trade on the mispriced side using Kelly sizing. Scans for divergence, chec...
Install via ClawdBot CLI:
clawdbot install adlai88/polymarket-ai-divergenceGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.simmer.marketsAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
A hedge fund or proprietary trading firm uses this skill to automate arbitrage opportunities between AI predictions and market prices on prediction markets. It integrates with their existing risk management systems to execute trades when divergence exceeds thresholds, leveraging Kelly sizing for optimal bet sizing while adhering to daily budget constraints.
An investment manager focuses on political or sports events, deploying this skill to capitalize on mispricings identified by AI consensus. By filtering for zero-fee markets and using safeguards like flip-flop detection, they manage risk while seeking alpha in short-term market inefficiencies around event resolutions.
A crypto trader runs this skill on a cloud server to automatically scan and trade on Polymarket for cryptocurrency-related predictions. It uses the skill's configuration to set minimum edge thresholds and direction filters, optimizing for high-frequency opportunities in volatile markets while avoiding fee drag.
A data analytics company employs this skill to gather insights on AI vs. market price divergences across various topics. They run it in dry-run mode to collect JSON output for backtesting and model validation, helping refine their own forecasting algorithms without executing live trades.
A financial education provider uses this skill as a hands-on demo in courses on algorithmic trading and Kelly criterion. Students configure parameters like min_edge and kelly_cap to simulate trades, learning about risk management and market efficiency in a controlled, real-world context.
Offer this skill as part of a SaaS platform where users pay a monthly fee to access automated trading on prediction markets. Revenue comes from subscription tiers based on features like higher trade limits or advanced analytics, with the skill handling divergence scanning and execution.
Operate a fund that uses this skill to trade on AI divergences, charging investors a management fee plus a performance fee on profits. The skill's safeguards and Kelly sizing help manage risk, while the daily budget and max trades per run control exposure to maximize returns.
License this skill to banks or fintech companies as a customizable trading module. Revenue is generated through licensing fees and support contracts, with integration tips focusing on API key setup and cron job scheduling for automated runs in their existing infrastructure.
💬 Integration Tip
Ensure the SIMMER_API_KEY is securely stored as an environment variable and install the simmer-sdk via pip before running the skill to avoid dependency issues.
Scored Apr 19, 2026
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