related-market-spread

Name: related-market-spread
Availability: InStock
Author: Superior-Trade

Analyze pricing discrepancies between linked Polymarket markets using TradeTick data.

226|9|Updated Mar 8, 2026

Search Tags:#market analysis #backtesting #polymarket #price discrepancy #relative-value trading

Ready to run

npx skills add https://github.com/Superior-Trade/superior-skills --skill related-market-spread

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: related-market-spread
Source: https://github.com/Superior-Trade/superior-skills/tree/main/skills/related-market-spread
Command: npx skills add https://github.com/Superior-Trade/superior-skills --skill related-market-spread

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires polymarket, requests, and includes scripts (resource) components.

What problem does it solve?

Identify and exploit price discrepancies between related Polymarket markets, enabling users to make relative-value trades and conduct discrepancy checks.

Core Features & Use Cases

Relative-Value Trading: Use the spread between related market probabilities to uncover pricing inefficiencies.
Discrepancy Checks: Verify that markets for linked outcomes are properly priced.
Backtest Analysis: Test the strategy using filled TradeTick data for historical spread patterns.

Quick Start

Analyze market spread discrepancies with 'related-market-spread' by specifying two market slugs.

Frequently Asked Questions about related-market-spread

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

FAQPage Schema

How do I find pricing discrepancies between linked Polymarket markets?▼

To find pricing discrepancies between linked Polymarket markets, analyze the spread between related market probabilities using historical TradeTick data to uncover relative-value trading inefficiencies.

Can I backtest relative-value trading strategies using Polymarket historical data?▼

Yes, you can backtest relative-value trading strategies by analyzing filled TradeTick data to identify and evaluate historical spread patterns between linked Polymarket markets.

What is relative-value trading in prediction markets?▼

Relative-value trading in prediction markets involves exploiting price discrepancies between linked outcomes by analyzing the spread between their probabilities to uncover pricing inefficiencies.

Do I need Python to analyze Polymarket spread discrepancies?▼

Yes, you need Python along with the polymarket and requests libraries to extract data, process historical TradeTick records, and calculate spread discrepancies between specified market slugs.

How do I check if linked Polymarket outcomes are properly priced?▼

To check if linked Polymarket outcomes are properly priced, specify the two market slugs to compare their probabilities and verify that the spread between them reflects accurate pricing.

What are the limitations of using TradeTick data for spread analysis?▼

TradeTick data for spread analysis is limited to filled historical trades, meaning it reflects executed transaction prices rather than real-time order book depth or current unfilled market quotes.