Decentralised Intelligent Network (DINE)
  • DECENTRALISED INTELLIGENT NETWORK FOR EVENT (DINE)
    • Introduction to DINE
  • PROBLEM STATEMENT
    • Artificial Scarcity and Exploitation by Centralized Platforms
    • Disconnect Between Artists and Fans
    • The Absence of True Value Exchange
    • Why Web3 & AI Are the Solution
  • Key Features Of DINE
    • Personalized Content Curation
    • Live Event Discovery & Ticket Sniping
    • Brand-Creator Upselling Opportunities
    • Blockchain-Based Governance & Rewards
  • $AAA TOKEN – THE FINANCIAL PRIMITIVE BEHIND DINE
    • The Need for a Native Token
    • Core Utilities of $AAA
    • Economic Design Principles
    • Transformative Potential of $AAA
  • THE AGE OF INFOFI
    • Turning Insights into Data
    • Incentivizing Engagement
    • Sustained Value Creation
    • Equitable Ecosystem
  • CONCEPT OF $AAA
    • Community: Empowering Fans as Active Stakeholders
    • Culture: Fostering Authentic Connections Through Shared Experiences
    • Composability: Building a Modular and Interoperable Ecosystem
  • CREATING DEMAND & SCARCITY
    • Creating Demand
    • Creating Scarcity
  • AI POWERED SOCIAL GRAPH
    • Data Ownership and Monetization
    • Behavioural Insights
    • Community Engagement
  • SUSTENANCE STRATEGY FOR PRICING
    • How It Works?
    • Key Benefits
  • LIQUIDITY PROVISIONING STRATEGIES
    • Automated Market Maker (AMM) With Constant Product Formula
    • Liquidity Mining with Staking Rewards
    • Dynamic Pricing Structure
    • Staking & Liquidity Mechanisms
  • TOKEN DISTRIBUTION STRATEGY
    • Public Allocation (4.9%)
    • Investors (6.1%)
    • Team (15%)
    • Airdrop (20%)
    • Advisors (5%)
    • Treasury (20%)
    • Liquidity & Staking
  • TECHNICAL ARCHITECTURE
    • Data Collection Layer
    • Data Processing Layer
    • Machine Learning Models
    • Action Layer
    • Blockchain Layer
  • AI Stack
    • Core Technologies
    • Cloud Infrastructure
    • AI/ML Tools
    • Blockchain Components
    • Frontend/UI
  • IMPLEMENTATION ROADMAP
    • Phase 1: Public Beta – Content Curation + Airdrop + IDO
    • Phase 2: Live Alpha – Advanced Features
    • Phase 3: Scaling & Monetization – IP Tokenization
  • CHALLENGES & CONSIDERATIONS
    • Privacy & Ethics
    • Scalability
    • Adoption
  • CONCLUSION
Powered by GitBook
On this page
  1. SUSTENANCE STRATEGY FOR PRICING

How It Works?

Traditional bonding curves establish a fixed relationship between token supply and price, often represented by a simple function like:

P(S) = k Sn

Where:

  • P(S): Price of the token as a function of supply.

  • S: Total supply of the token.

  • k: A constant scaling factor.

  • n: Elasticity parameter determining how steeply the price increases with supply.

In the context of DINE, however, the value of $AAA is influenced not only by its circulating supply but also by additional dimensions such as user engagement, platform revenue, and token utility. To account for these factors, we introduce multidimensional bonding curves, which extend the traditional model by incorporating multiple variables that influence token price.

The multidimensional bonding curve can be expressed as:

P(S, U, R, T) = k Sn + Um + Rp + . Tq

Where:

  • S: Total supply of $AAA tokens.

  • U: User engagement metrics (e.g., number of active users, interactions, or contributions).

  • R: Platform revenue generated through ticket sales, merchandise, and other activities.

  • T: Token utility (e.g., staking volume, governance participation, or redemption frequency).

  • α, β, γ: Weighting factors for each dimension.

  • m, p, q: Elasticity parameters for each variable.

This approach ensures that the price of $AAA dynamically adjusts based on real-world usage and value creation within the ecosystem, rather than being solely dependent on token supply.

PreviousSUSTENANCE STRATEGY FOR PRICINGNextKey Benefits

Last updated 3 months ago

Page cover image