Dolphin.fm
  • 🐬Overview
    • Introduction
    • Background
    • The Vision
    • Roadmap
    • Core Components
  • 🌊Product Manual
    • Stage 1: Knowledge Discovery Trading Engine
    • Onboarding Wizard
    • Knowledge Discovery Trading Engine(KDTE)
    • One-Click Trading
    • One-Click Investment
      • Dual Investment with Downside Protection
      • Single Asset Yield Farming with Impermanent Loss Protection
    • Stage 2: Agent Engine and Ecosystem
  • 💡Technology
    • System Architecture
      • Online Service
      • Knowledge Service
      • AI Infrastructure
      • AI Agent Infrastructure
    • Large-Language-Model Specialized in Investing
      • Domain Knowledge
      • Tabular Understanding
    • Quantitative and Machine Learning Models
      • Main Strategy for Hedging Impermanent Loss
      • Time Selection and Loss & Rebalance Strategy
      • Volatility Predictions
  • 💎TOKENOMICS
    • Introduction to $DOLFM
    • $DOLFM Token Utilities
    • Quantitative Token Self-regulating Mechanism
      • Buyback & Burn Mechanism
      • Revenue-based Minting Algorithm
      • veToken Model
Powered by GitBook
On this page
  1. TOKENOMICS

Quantitative Token Self-regulating Mechanism

One key innovation of Dolphin.fm is the application of quantitative models to maintain the integrity and stability of its tokenomics. This self-regulating mechanism encompasses several critical components:

  • Buyback & Burn Mechanism

  • Revenue-Correlated Minting Algorithm

  • veToken Model

All these processes are implemented and regulated by smart contracts, ensuring transparency, efficiency, and security. The smart contracts autonomously manage the minting, buyback, and staking processes, preventing any human interruptions or manipulations. This quantitative token self-regulating mechanism ensures that Dolphin.fm maintains a balanced and deflationary token economy, fostering trust and stability within the ecosystem.

Previous$DOLFM Token UtilitiesNextBuyback & Burn Mechanism

Last updated 10 months ago

💎