alphagbm-polymarket

Compare Polymarket probabilities with options-implied probabilities to surface mispricing signals.

1.7k|225|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/AlphaGBM/skills --skill alphagbm-polymarket
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alphagbm-polymarket
Source: https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-polymarket
Command: npx skills add https://github.com/AlphaGBM/skills --skill alphagbm-polymarket

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Integrates prediction market data from Polymarket with options pricing to surface mispricing signals between market probabilities and options-implied probabilities.

Core Features & Use Cases

  • Event-probability comparison: surface discrepancies between Polymarket and options-based probabilities.
  • Arbitrage signaling: identify mispricing gaps and potential trades with risk context.
  • Historical context: provide prior accuracy and past-event performance to gauge reliability.

Quick Start

Ask your AI to surface mispricing signals by comparing Polymarket probabilities with options-implied probabilities for a chosen event.

Frequently Asked Questions about alphagbm-polymarket

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

FAQPage Schema
How do I spot mispricing between Polymarket probabilities and options-implied probabilities?

To spot mispricing between Polymarket and options, compare prediction-market probabilities with options-implied probabilities derived from option prices and skews. Computing the probability spread reveals arbitrage signals for binary events like rate cuts or elections.

How does options-implied probability compare to prediction market data for event arbitrage?

Options-implied probability is derived from option prices and skews, while prediction market data reflects event probabilities on Polymarket. Comparing the two surfaces probability discrepancies that indicate potential arbitrage opportunities.

Can I use Polymarket data with options positioning to find actionable trades?

Yes, you can use Polymarket data with options positioning to find actionable trades. The process ranks mispricing signals by probability spread and provides historical context on prior accuracy to suggest trades with risk context.

What is the best way to identify arbitrage signals for binary events like elections or rate cuts?

The best way to identify arbitrage signals for binary events is to fetch Polymarket probabilities, derive options-implied probabilities from related options, compute the spread, and rank the mispricing signals to surface discrepancies.

Does comparing Polymarket probabilities with options prices provide historical performance context?

Yes, comparing Polymarket probabilities with options prices provides historical performance context. It includes prior accuracy and past-event performance data to help gauge the reliability of the identified mispricing signals.

When should I not rely on Polymarket and options probability spreads for trading?

You should not rely on Polymarket and options probability spreads when historical context indicates low prior accuracy for the specific event type, or when options skews fail to clearly imply a probability for the binary scenario.