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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Vision & Objectives

Torch seeks to democratize access to predictive insights by enabling participants to engage in a decentralized prediction ecosystem. The key goals include:

  • Identifying tokens likely for a 1.5x+ surge within 1-3 weeks

  • AI-augmented trading strategies leveraging machine learning models for price forecasting

  • Enhancing prediction quality through incentive mechanisms for crypto traders

InfoFi principles

The system is built on the principle that aligned incentives drive accurate market intelligence.

By aggregating insights from a diverse user base, it rewards signal discovery while penalizing noise and low-quality predictions to ensure that only meaningful forecasts influence market outcomes. This structure encourages fair and transparent price discovery, while the liquidity-weighted prediction model dynamically adjusts based on market confidence and participation levels.

The InfoFi approach transforms raw speculation into actionable insights, enables market observers to identify emerging trends early and capitalize on high-quality market signals.

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Last updated 1 month ago