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RavenMoon whitepaper
RavenMoon whitepaper

RavenMoon: A Meme Token with Automated BUSD Rewards

The RavenMoon whitepaper was written and published by the project's core team on August 25, 2022, on the BSC network, aiming to provide automated BUSD rewards to holders through an innovative tokenomics model, in response to users' demand for passive income and a simplified cryptocurrency rewards mechanism.

The theme of the RavenMoon whitepaper is “RavenMoon: An Automated BUSD Reward Token Based on the BSC Network.” What makes RavenMoon unique is its “hold to earn” BUSD reward mechanism, which automatically distributes 2% of transaction fees as BUSD rewards to all RVM holders via smart contracts; the significance of RavenMoon lies in its substantial lowering of the threshold for passive income in cryptocurrency, offering users a simple and efficient way to earn BUSD.

RavenMoon's original intention is to simplify the process for cryptocurrency investors to obtain passive income and provide stable BUSD rewards. The core viewpoint presented in the RavenMoon whitepaper is: by implementing a unique transaction tax mechanism and automated smart contract distribution on the BSC chain, holders of RVM can enjoy a seamless experience of continuously receiving BUSD rewards.

Interested researchers can access the original RavenMoon whitepaper. RavenMoon whitepaper link: https://ravenmoon.net/whitepaper.pdf

RavenMoon whitepaper summary

Author: Arjun Mehta
Last updated: 2026-01-01 00:19
The following is a summary of the RavenMoon whitepaper, expressed in simple terms to help you quickly understand the RavenMoon whitepaper and gain a clearer understanding of RavenMoon.
Wow, friend, so sorry! There is very limited information available about the RavenMoon project, and I am still working hard to collect and organize it—please stay tuned; in the meantime, you can check other information about this project displayed in the sidebar of this page.
Disclaimer: The above interpretations are the author's personal opinions. Please verify the accuracy of all information independently. These interpretations do not represent the platform's views and are not intended as investment advice. For more details about the project, please refer to its whitepaper.

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