prop-firm-market-research

Analyze prop firm market data with Python scripts and a static JSON directory.

Updated Feb 15, 2026
One-click install
npx skills add https://github.com/Ryko1141/Hedge-Edge-agentic --skill prop-firm-market-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prop-firm-market-research
Source: https://github.com/Ryko1141/Hedge-Edge-agentic/tree/main/Business%20Strategist%20Agent/.agents/skills/prop-firm-market-research
Command: npx skills add https://github.com/Ryko1141/Hedge-Edge-agentic --skill prop-firm-market-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides deep, actionable intelligence on the prop trading firm ecosystem, enabling strategic decisions for businesses operating within or adjacent to this market.

Core Features & Use Cases

  • Market Sizing & Trends: Analyze market size, growth rates, and emerging trends in the prop firm industry.
  • Competitor & Ecosystem Mapping: Identify and profile key prop firms, understand trader demographics, and map adjacent market opportunities.
  • Use Case: Before launching a new hedging product for prop firm traders, use this Skill to research current market size, identify the most popular platforms (MT4/MT5/cTrader), and understand the fee structures and hedging policies of major prop firms.

Quick Start

Use the prop-firm-market-research skill to research current prop firm failure rates and their impact on trader retention.

Frequently Asked Questions about prop-firm-market-research

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

FAQPage Schema
How do I conduct prop firm market research for ecosystem sizing and trend analysis?

Prop firm market research involves analyzing market sizing, growth rates, and emerging trends by aggregating trader demographics and firm economics data. This Skill uses Python scripts to process current market intelligence for strategic decision-making.

What is the best way to analyze prop firm failure rates and trader retention?

Analyzing prop firm failure rates requires researching trader demographics and ecosystem economics. By leveraging Python scripts to aggregate current market intelligence, you can identify failure trends and assess their impact on trader retention.

Can I use Python scripts to map competitor profiles and fee structures in the prop trading industry?

Yes, you can use Python scripts to map competitor profiles and fee structures in the prop trading industry. This Skill references a static JSON directory to extract firm-specific attributes, enabling detailed competitor and ecosystem mapping.

Does this market intelligence approach support researching hedging policies across major prop firms?

This market intelligence approach supports researching hedging policies across major prop firms by mapping firm-specific attributes from a static JSON directory. It enables strategic decisions before launching products like hedging tools for prop firm traders.

How do I identify adjacent market opportunities in the prop firm ecosystem?

To identify adjacent market opportunities in the prop firm ecosystem, you must profile key firms and analyze trader demographics. This Skill conducts in-depth research to map the ecosystem, supporting strategic decisions for adjacent businesses.

What data is needed to understand prop firm economics and trader demographics?

Understanding prop firm economics and trader demographics requires a static JSON directory of firm-specific attributes. The Skill uses this data to perform market sizing and trend analysis, outputting actionable ecosystem intelligence.