skills.rest
michaelschecht
michaelschechtCOMMUNITY
Explore all skills by this author →
GitHub

edge-radar

Automate sports betting and prediction market analysis with Python scripts and API integration.

1|Updated Mar 22, 2026
Search Tags:#market analysis#portfolio management#sports betting#prediction markets#bet placement
One-click install
npx skills add https://github.com/michaelschecht/Edge-Radar --skill edge-radar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: edge-radar
Source: https://github.com/michaelschecht/Edge-Radar/tree/main/skills/edge-radar
Command: npx skills add https://github.com/michaelschecht/Edge-Radar --skill edge-radar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, numpy, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of scanning sports betting markets, placing wagers, managing a betting portfolio, and analyzing prediction markets across multiple platforms.

Core Features & Use Cases

  • Market Scanning: Quickly scan thousands of markets for betting opportunities across sports, futures, and prediction markets.
  • Bet Placement: Automatically place bets based on detected opportunities, with options to customize bet sizes and strategies.
  • Portfolio Management: Track and manage your betting portfolio, including open positions, profits and losses, and risk levels.
  • Analysis Tools: Utilize powerful analysis tools to evaluate market data, detect mispriced odds, and gain insights into betting strategies.
  • Use Case: Imagine you want to analyze upcoming NBA games for betting opportunities. Use the Edge-Radar skill to scan markets, identify potential bets, and place your bets with a single command.

Quick Start

Scan and analyze NBA betting markets using the edge-radar skill.

Frequently Asked Questions about edge-radar

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

FAQPage Schema
How do I automate sports betting and prediction market analysis?▼

You can automate sports betting by using Python scripts to scan prediction markets, detect mispriced odds, and place bets automatically. This process requires API access to betting platforms and market data sources to retrieve and analyze data.

Can I manage my betting portfolio and track open positions across multiple platforms?▼

Yes, you can manage your betting portfolio by tracking open positions, calculating profits and losses, and monitoring risk levels across various platforms. This is achieved through portfolio management scripts that utilize API integration for data retrieval.

How do I scan thousands of betting markets for mispriced odds?▼

Scanning betting markets involves using Python scripts with pandas and numpy to retrieve market data via API and identify mispriced odds. The analysis tools evaluate the data to detect betting opportunities across sports and prediction markets.

Do I need API access to place bets automatically?▼

Yes, API access to betting platforms and market data sources is required to place bets automatically. The automated bet placement functionality relies on these API connections to execute wagers based on detected market opportunities.

Can I use Python with pandas and numpy for prediction market analysis?▼

Yes, Python with pandas and numpy is used for prediction market analysis to process market data and detect mispriced odds. These libraries support the analysis tools that evaluate betting strategies and identify potential wagers.

What's the best way to customize bet sizes and strategies for automated wagering?▼

The best way to customize bet sizes and strategies is through the automated bet placement scripts. After scanning markets and detecting opportunities, you can configure the scripts to execute wagers according to your specific sizing and strategy preferences.

Related Skills

Explore More Software Engineering Skills→
jayjpatel9717jayjpatel9717

macro-analysis

Analyze market and macroeconomic data with Python libraries.

Community
Advanced
lyndonkllyndonkl
142

market-mechanics-betting

Convert probabilistic forecasts into betting decisions using Kelly Criterion and edge calculation.

Community
Advanced
PuckAPIPuckAPI
2

puckapi-tool

Retrieve NHL game results, player stats, standings, and betting odds via API.

Official
Basic
danielscholldanielscholl

kalshi-markets

Fetch real-time Kalshi market prices, odds, orderbooks, and trades.

Community
Intermediate