# PredictionMarketsPicks Quant

> PredictionMarketsPicks Quant — predictionmarketspicks-quant. Use this tool when you need to optimize prediction-market trading on Kalshi and Polymarket with institutional-grade quant strategies. It solves problems such as identifying mispricings, sizing positions, and converting probabilities, through a range of tools including calculators and data analysis. The toolkit accepts market data as input and outputs optimized trading recommendations, making it ideal for traders seeking to maximize expected value and edge in prediction markets.

Canonical page: https://skillsregistry.net/skills/predictionmarketspicks-quant  
JSON: https://api.skillsregistry.net/v1/skills/predictionmarketspicks-quant

## Description

Institutional-grade quant toolkit for prediction-market trading on Kalshi and Polymarket. Ten tools covering expected value, Kelly position sizing, Bayesian updating, probability/odds conversion, base-rate gaps, combo edge, cross-platform arbitrage, market pulse, commodity edge, and KL-divergence mispricing detection. Free stateless calculators plus Pro data tools.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/predictionmarketspicks/quant)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "predictionmarketspicks-quant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/predictionmarketspicks-quant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/predictionmarketspicks-quant/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt