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  • An open-source Python framework for building, backtesting, and deploying autonomous prediction market trading agents.
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    What is Prediction Market Agent Tooling?
    Prediction Market Agent Tooling provides a modular architecture for creating autonomous prediction market trading agents. It offers connectors for major platforms like Augur and Polymarket, a library of reusable strategy templates, real-time data feeds, a robust backtesting engine, and built-in performance analytics. Users can rapidly prototype algorithms, simulate historical market conditions, and deploy live agents with monitoring utilities, making it ideal for both researchers and quantitative traders.
    Prediction Market Agent Tooling Core Features
    • Connectors for Augur, Polymarket and other platforms
    • Library of prebuilt trading strategy templates
    • Historical backtesting engine
    • Real-time data fetching and market updates
    • Performance analytics and reporting
    • Agent deployment and monitoring utilities
  • YOLO detects objects in real-time for efficient image processing.
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    What is YOLO (You Only Look Once)?
    YOLO is a state-of-the-art deep learning algorithm designed for object detection in images and videos. Unlike traditional methods that focus on specific regions, YOLO views the entire image at once, allowing it to identify objects more quickly and accurately. This single-pass approach enables applications such as self-driving cars, video surveillance, and real-time analytics, making it a crucial tool in the field of computer vision.
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