Comprehensive アルゴリズムのプロトタイピング Tools for Every Need

Get access to アルゴリズムのプロトタイピング solutions that address multiple requirements. One-stop resources for streamlined workflows.

アルゴリズムのプロトタイピング

  • 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
  • Open-source ROS-based simulator enabling multi-agent autonomous racing with customizable control and realistic vehicle dynamics.
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    What is F1Tenth Two-Agent Simulator?
    The F1Tenth Two-Agent Simulator is a specialized simulation framework built on ROS and Gazebo to emulate two 1/10th scale autonomous vehicles racing or cooperating on custom tracks. It supports realistic tire-model physics, sensor emulation, collision detection, and data logging. Users can plug in their own planning and control algorithms, adjust agent parameters, and run head-to-head scenarios to evaluate performance, safety, and coordination strategies under controlled conditions.
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