New AI-based crypto trading signals platform raises over $3.28 million during its presale campaign. It looks like this product is gaining more attention amid a rising greedy crypto market. After all, it raised a significant amount just a few weeks after its launch.
Read CRYPTONEWSLAND onThe popularity of AI paired with the greedy crypto market spells a great opportune product to feed the masses and yPredict is here to deliver. In a volatile market such as the crypto space, it is indeed a treat to have some reliable assistance.
The platform uses advanced predictive models driven by artificial intelligence and machine learning. yPredict cuts through market noise to offer clear signals to traders. These signals come from data scientists, ensuring informed decision-making for users.
Central to yPredict’s ecosystem is its native token, $YPRED. Token holders can stake their $YPRED tokens and earn a share of marketplace fees generated by the platform, offering a potential source of profit.
During its presale stage, $YPRED tokens have a total supply of 100 million. Of this, 28% is set aside for private, pre, and public sales, and the remaining 72% will assist platform development.
Beyond catering to traders, yPredict presents an opportunity for data scientists. They can sell the results of their predictive models or signals as a subscription service, creating a marketplace for their skills without being involved in trading operations.
To foster community engagement, yPredict actively maintains a presence on various social media platforms such as Telegram, Twitter, and YouTube, with plans to expand to Instagram and TikTok. Overall, yPredict aims to create a symbiotic platform that benefits both traders and data scientists in the financial markets.
By offering reliable crypto signals and opportunities for model monetization, yPredict.ai seeks to make a significant impact in the crypto trading landscape. As time progresses, the platform’s influence and its $YPRED token’s investment potential will shape the way users approach crypto trading.
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