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🚀 Crypto Green Bitcoin Presale Secures $1 Million as Bitcoin Approaches New High

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SaulBadman

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Green Bitcoin Presale Secures $1 Million as Bitcoin Approaches New High



Green Bitcoin, an environmentally conscious cryptocurrency initiative, has raised over $1 million in its brief presale phase.

Token holders can stake their tokens and earn yield with Green Bitcoin’s novel gamified staking methodology and energy-efficient basis.

Gamified Staking Model Provides Unique Way to Earn


Verdant Token holders can attempt to forecast Bitcoin’s daily price changes, and if they are successful, they can earn incentives that vary depending on accuracy and stake size. This is one unique twist offered by Bitcoin’s gamified staking concept.

Every day, this system resets to guarantee ongoing participation.

Green Bitcoin’s concept gives a dynamic yield, unlike conventional staking methods with set returns.

To guarantee a substantial pool of incentives for precise BTC price forecasts, Green Bitcoin has dedicated more than 27% of the total token supply to staking rewards, as detailed in its whitepaper.

The distribution of this fund pool is scheduled to take place over a two-year period.

Green Bitcoin Secures Over $1m Amidst Booming Crypto Market


Green Bitcoin’s presale has surpassed $1 million, building on the recent boom in the cryptocurrency market and providing reduced tokens to prospective buyers.

The creators of Green Bitcoin encourage long-term holding by enabling users to stake their acquired tokens right away, in contrast to conventional presale arrangements.

A reliable blockchain security company called Coinsult has examined the smart contract for the token.

As per the company, there is a discussion regarding the project on Green Bitcoin’s social media channels. Over the past week, the project’s Telegram group has expanded, and its Green Bitcoin Twitter account now has 3,400 followers.

Even well-known YouTubers like Crypto Boy have highlighted Green Bitcoin in their videos, complimenting its “Predict-to-Earn” concept.
 

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