# Alphagbm Polymarket

> Compares prediction market probabilities from Polymarket with options-implied probabilities to identify mispricing signals and potential arbitrage opportunities.

- Skill: `alphagbm/alphagbm-polymarket` (Agent Skill)
- Install (CLI): `npx skillmds@latest add alphagbm/alphagbm-polymarket`
- Raw SKILL.md: https://api.skillmd.com/api/skills/alphagbm/alphagbm-polymarket/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Finance & Business, Coding & Dev Tools, Data & Analytics, Data Analysis, Trading & Investing
- Tags: Arbitrage, Event Probability, Implied Probability, Mispricing, Options, Polymarket, Prediction Markets
- Author: AlphaGBM (https://skillmd.com/u/alphagbm)
- Updated: 2026-07-06
- Page: https://skillmd.com/skills/alphagbm/alphagbm-polymarket

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# 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](../alphagbm-market-sentiment/) | Macro sentiment context for interpreting event probabilities |
| [alphagbm-options-strategy](../alphagbm-options-strategy/) | Strategy recommendations that can exploit mispricing signals |

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