Tokenomics
Tokenomics
The $TOR token's distribution strategy is designed to ensure long-term growth and stability within the Tonoreum ecosystem. Here is a detailed breakdown of the tokenomics based on the provided data and chart:
Distribution Overview
Mined Tokens (91.85%)
Allocation: A significant 91.85% of the total $TOR token supply is allocated for acquisition through an innovative mining process.
Process: This mining process operates at regular intervals every five minutes.
Goal: The process will continue until the total circulation reaches the cap of 21 billion tokens.
Purpose: This ensures a decentralized and equitable distribution of tokens, promoting active participation in the network.
Reserved for Liquidity (8.15%)
Allocation: 8.15% of the total supply is specifically reserved to bolster market liquidity.
Purpose: This is essential for maintaining active and healthy trading on cryptocurrency exchanges.
Strategic Burn: To enhance the token's value, a portion of this liquidity pool will be strategically burned. This reduces the overall token supply, thereby increasing scarcity and potentially boosting the token's value.
Visualizing Tokenomics
The pie chart provides a visual representation of the token distribution:
Green Section (91.85%): Represents the portion of $TOR tokens allocated for mining.
Orange Section (8.15%): Represents the tokens reserved for liquidity.
This strategic distribution model is crafted to stimulate user activity, ensure fair and wide distribution, and maintain a balanced market presence. By allocating the majority of tokens to mining, Tonoreum encourages continuous user engagement and network growth. The reserved liquidity helps stabilize the market, providing a solid foundation for healthy trading and token value appreciation.
Conclusion
The tokenomics of $TOR are carefully structured to support the long-term success of the Tonoreum project. By focusing on decentralized mining and strategic liquidity management, Tonoreum aims to build a robust and sustainable ecosystem that benefits all participants.
Last updated