Torch Litepaper
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  • Abstract
  • Introduction
    • Problem statement
  • Solution limitations
  • Vision & Objectives
  • How it works
  • Continuous market
  • Forecasting model
  • Probability map
  • Public goods
  • Betting
  • No exits
  • Prediction resolution
  • Hitting the range
  • Payout system
  • Payout formula
  • Reserve management
  • System mechanics
    • Key parameters
    • Lead time quality
    • Local confidence
    • Boldness quality
    • Sharpness quality
    • Bonus share
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Public goods

The probability map can also be used for public goods and serve as a source of continuous token price signal, offering a high-resolution view of market expectations across time. It could be useful for traders, bots, and researchers, who can consume the map to surface early trends and momentum shifts – visualized or data-driven.

Torch insights are free to read, composable, and updated in real time. The more high-quality participants contribute, the more useful the output becomes for everyone. By aligning individual incentives with collective insight, Torch turns private speculation into a shared prediction system for crypto.

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Last updated 1 month ago