Agent SkillsAlphaGBM/skills › alphagbm-polymarket

alphagbm-polymarket

GitHub

整合Polymarket预测市场与期权数据,对比事件概率与期权隐含概率,识别定价偏差并生成套利信号及交易建议。

skills/alphagbm-polymarket/SKILL.md AlphaGBM/skills

Trigger Scenarios

polymarket signals prediction market vs options event probability rate cut odds election odds vs options polymarket arbitrage implied probability mismatch prediction market data event-driven options

Install

npx skills add AlphaGBM/skills --skill alphagbm-polymarket -g -y
More Options

Use without installing

npx skills use AlphaGBM/skills@alphagbm-polymarket

指定 Agent (Claude Code)

npx skills add AlphaGBM/skills --skill alphagbm-polymarket -a claude-code -g -y

安装 repo 全部 skill

npx skills add AlphaGBM/skills --all -g -y

预览 repo 内 skill

npx skills add AlphaGBM/skills --list

SKILL.md

Frontmatter
{
    "name": "alphagbm-polymarket",
    "globs": [
        "mock-data\/polymarket\/**"
    ],
    "description": "Integrates prediction market data (Polymarket) with options analysis to surface mispricing\nsignals between event probabilities and options-implied probabilities.\nTriggers: \"polymarket signals\", \"prediction market vs options\", \"event probability\",\n\"rate cut odds\", \"election odds vs options\", \"polymarket arbitrage\",\n\"implied probability mismatch\", \"prediction market data\", \"event-driven options\"\n"
}

AlphaGBM Polymarket Integration

Bridges prediction markets and options markets -- when Polymarket says 70% chance of a rate cut but options imply 55%, that is a potential mispricing you can trade.

What This Skill Does

Concept Description
Event Probability The prediction market's consensus probability for a specific event (e.g., rate cut, election outcome)
Options-Implied Probability The probability the options market is pricing in, derived from option prices and skew
Probability Spread The gap between prediction market and options-implied probabilities -- large spreads signal mispricing
Arbitrage Signal When the spread exceeds a threshold, there may be a tradeable opportunity
Event Correlation How strongly a binary event maps to specific options positions
Historical Accuracy Track record of prediction markets vs options in forecasting similar past events

How to Use

Input: An event type or query about prediction market vs options pricing.

Output:

  • Event probability comparison table: Polymarket probability vs options-implied probability
  • Probability spread and direction (which market is more bullish/bearish on the event)
  • Mispricing signals ranked by confidence and spread size
  • Suggested options trades to exploit the mispricing
  • Historical accuracy comparison for similar past events

Example Queries:

  • polymarket signals — Scan for the largest probability mismatches right now
  • prediction market vs options rate cut — Compare Fed rate cut odds across markets
  • event probability election — Election outcome probabilities vs options positioning
  • rate cut odds — What prediction markets and options each imply about the next Fed meeting
  • polymarket arbitrage — Actionable mispricing opportunities

Mock Data

Mock data files are located in mock-data/polymarket/ and include:

  • rate-cut-comparison.json — Fed rate cut probabilities: Polymarket vs options-implied
  • event-scan.json — Top mispricing signals across active prediction markets
  • historical-accuracy.json — Past event forecasting accuracy by market type

API Endpoint

GET /api/analytics/polymarket/signals
GET /api/analytics/polymarket/event/{event_id}

Query parameters:

  • event_type (string) — Filter: "fed", "election", "earnings", "macro", "all"
  • min_spread (float, default 0.10) — Minimum probability spread to surface (10%)
  • include_trades (bool, default true) — Include suggested options trades

Response fields: events[], polymarket_prob, options_implied_prob, spread, confidence, suggested_trades[], historical_accuracy

Related Skills

Skill Relevance
alphagbm-market-sentiment Macro sentiment context for interpreting event probabilities
alphagbm-options-strategy Strategy recommendations that can exploit mispricing signals

Powered by AlphaGBM — Real-data options & research intelligence. 10K+ users.

Version History

  • c69fa1b Current 2026-07-05 20:18

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Metadata

Files
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Version
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Hash
c1e6a987
Indexed
2026-07-05 20:18

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