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edge

Compare prediction market prices against external data sources and models.

Updated Feb 5, 2026
Search Tags:#market analysis#edge detection#arbitrage#kelly criterion#prediction markets#data comparison
One-click install
npx skills add https://github.com/shreed27/DAIN --skill edge-shreed27
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: edge
Source: https://github.com/shreed27/DAIN/tree/main/CloddsBot-main/src/skills/bundled/edge
Command: npx skills add https://github.com/shreed27/DAIN --skill edge-shreed27

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users identify potential financial advantages by comparing prediction market prices against external data sources and models.

Core Features & Use Cases

  • Market Scanning: Automatically scans various prediction markets for price discrepancies.
  • Data Comparison: Compares market prices to reliable external data like polls, economic indicators, and betting odds.
  • Edge Calculation: Utilizes the Kelly criterion to suggest optimal bet sizing based on estimated probabilities.
  • Use Case: A user can ask the bot to find markets where the price is significantly different from a reputable polling average, and the bot will present the opportunities with a suggested bet size.

Quick Start

Use the edge skill to scan for markets where the price differs by more than 10% from external models.

Frequently Asked Questions about edge

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

FAQPage Schema
How do I find mispriced prediction markets for arbitrage opportunities?▼

To find mispriced prediction markets, you compare current market prices against external data sources like polls and economic indicators. This data comparison identifies price discrepancies for arbitrage opportunities across political, economic, and sports markets.

How does the Kelly criterion work for prediction market bet sizing?▼

The Kelly criterion calculates optimal bet sizing by comparing estimated probabilities against current market prices. It suggests a specific bet percentage to maximize long-term capital growth based on the identified pricing edge.

Can I use external polling data to compare prediction market prices?▼

Yes, you can compare prediction market prices against external polling data. The system evaluates market prices against reliable external data sources like polls, economic indicators, and betting odds to detect significant price discrepancies.

What is the best way to detect edge opportunities in political prediction markets?▼

The best way to detect edge opportunities in political prediction markets is by scanning for prices that differ by more than 10% from external models like polling averages. This data comparison reveals actionable value opportunities.

What types of prediction markets are supported for market analysis and edge detection?▼

Supported prediction markets for market analysis and edge detection include political, economic, and sports markets. The system scans these scopes to identify price discrepancies and provide actionable insights for arbitrage trading decisions.

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