PUBLISH Protocol
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  • Web3 Ecosystem for News
  • Tokenomics
    • Token Allocation
    • Utilities
      • Incentives
      • Token Gating
      • Tips and Vouchers
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    • Price Action
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On this page
  • Mathematical Representation
  • Detailed Breakdown
  • Example Calculation
  • Conclusion
  1. Tokenomics

Price Action

The price of $NEWS is based on the Total Value Locked (TVL), Circulating Supply and the total rewards distributed. Below is a conceptual model and a simplified mathematical representation.

  1. Price Determinants:

    • Total Value Locked (TVL): Represents the total value of assets locked in the ecosystem, influencing demand.

    • Circulating Supply (CS): The number of $NEWS tokens currently in circulation.

    • Rewards (R): Tokens distributed as rewards to participants.

    • Tips (T): Tokens transferred as tips within the ecosystem.

    • Vouchers (V): Tokens distributed through voucher redemption.

    • Token Burns (B): Tokens permanently removed from circulation.

  2. Demand and Supply:

    • Demand (D): Driven by TVL, user engagement, and utility of the $NEWS token.

    • Supply (S): Influenced by circulating supply, new rewards, tips, and vouchers minus token burns.

Mathematical Representation

We can use a simplified formula to represent the price of $NEWS token. This formula captures the core dynamics but does not account for every possible market factor. It's a starting point for understanding the relationship between these variables.

PNEWS=DSP_{\text{NEWS}} = \frac{D}{S} PNEWS​=SD​

Where:

  • PNEWSP_{\text{NEWS}}PNEWS​: Price of $NEWS token

  • 𝐷𝐷D: Demand for $NEWS tokens

  • 𝑆𝑆S: Supply of $NEWS tokens

Detailed Breakdown

  1. Demand (D):

    D=TVL×UD = TVL \times UD=TVL×U
    • 𝑇𝑉𝐿𝑇𝑉𝐿TVL: Total Value Locked in the ecosystem.

    • 𝑈𝑈U: Utility factoris a measure of the overall usefulness and engagement level of $NEWS tokens within the PUBLISH 2.0 ecosystem. It represents how frequently and effectively the tokens are being used for various purposes such as content access, staking, advertising, and governance.

  2. Supply (S):

    S=CS+R+T+V−BS = CS + R + T + V - BS=CS+R+T+V−B
    • 𝐶𝑆𝐶𝑆CS: Circulating Supply of $NEWS tokens.

    • 𝑅𝑅R: Rewards distributed.

    • 𝑇𝑇T: Tips given.

    • 𝑉𝑉V: Vouchers redeemed.

    • 𝐵𝐵B: Tokens burned.

Combining these, we get:

PNEWS=TVL×UCS+R+T+V−BP_{\text{NEWS}} = \frac{TVL \times U}{CS + R + T + V - B} PNEWS​=CS+R+T+V−BTVL×U​

Example Calculation

Given the current values:

  • TVL: 100 million

  • U: 1.5 (indicating active usage and high engagement within the ecosystem)

  • CS: 5 billion tokens

  • R: 50 million tokens per year

  • T: 10 million tokens per year

  • V: 5 million tokens per year

  • B: 20 million tokens per year

Plugging these values into the formula:

PNEWS=100,000,000×1.55,000,000,000+50,000,000+10,000,000+5,000,000−20,000,000P_{\text{NEWS}} = \frac{100,000,000 \times 1.5}{5,000,000,000 + 50,000,000 + 10,000,000 + 5,000,000 - 20,000,000} PNEWS​=5,000,000,000+50,000,000+10,000,000+5,000,000−20,000,000100,000,000×1.5​
PNEWS=150,000,0005,045,000,000P_{\text{NEWS}} = \frac{150,000,000}{5,045,000,000} PNEWS​=5,045,000,000150,000,000​
PNEWS≈0.0297 USDP_{\text{NEWS}} \approx 0.0297 \text{ USD} PNEWS​≈0.0297 USD

Conclusion

This simplified formula provides a framework for understanding how various factors influence the price of $NEWS tokens. It helps in assessing the impact of TVL, utility, supply, rewards, tips, vouchers, and token burns on the token's market price. For a more accurate and dynamic model, additional market variables and real-time data should be incorporated.

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Last updated 12 months ago