PUBLISH Protocol
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  • Web3 Ecosystem for News
  • Tokenomics
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  • Mathematical Representation
  • Detailed Breakdown
  • Example Calculation
  • Conclusion
  1. Tokenomics

Price Action

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Last updated 11 months ago

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:

Detailed Breakdown

  1. Demand (D):

  2. Supply (S):

Combining these, we get:

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:

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.

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

𝐷𝐷D: Demand for $NEWS tokens

𝑆𝑆S: Supply of $NEWS tokens

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.

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.

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​
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