VICTORIA, Seychelles, Jan. 19, 2025 /PRNewswire/ — KuCoin, a leading global exchange, is excited to announce the launch of the Official Trump (TRUMP) token on its Spot trading platform. This addition marks a significant step in expanding KuCoin’s diverse range of trading options. TRUMP token trading begins with a call auction on January 18, 2025, from 13:00 to 14:00 UTC, followed by regular trading at 14:00 UTC. Deposits are available immediately on the SOL-SPL network, with withdrawals opening at 10:00 UTC on January 19, 2025.
The $TRUMP token represents a viral meme that became a key part of digital culture, symbolizing a memorable moment in history. By tapping into the viral appeal of memes, this token offers a unique asset within the blockchain world. On KuCoin, users can access a variety of trading bots, including Spot Grid, Infinity Grid, and AI-driven strategies, providing enhanced flexibility and more trading options.
To celebrate the launch, users who deposit $TRUMP before January 22, 2025, will enjoy a 30 USDT discount on trading fees, improving their overall trading experience. For more information about the token and to join the offering, visit KuCoin’s official website.
About KuCoin
Founded in 2017, KuCoin is a trailblazer in the digital economy space, known for its strong technological foundation, advanced blockchain infrastructure, liquidity solutions, and exceptional user experience. With a global user base of over 38 million, KuCoin provides a wide array of digital asset services, including wallets, trading, wealth management, payments, research, ventures, and AI-powered bots. Recognized as one of the “Best Crypto Apps & Exchanges” by Forbes and among the “Top 50 Global Unicorns” by Hurun in 2024, KuCoin is committed to maintaining integrity, accountability, and collaboration while constantly striving for excellence.

Senior Data Professional skilled in Python, R and SQL. My work spans three key areas: (1) leveraging APIs, automated tooling and large language models for data mining at scale; (2) statistical analysis, feature engineering and machine learning model development and evaluation against business requirements; and (3) extracting relevant and meaningful insights from complex datasets and communicating findings in relatable terms. Through my background in Engineering Science and Biomedical research (Masters, PhD and Postdoc projects), I have gained a love for problem solving, understanding how and why the world works the way it does, and telling stories about it through data! My work is published in peer-reviewed journals and I have been awarded >$1M in grant funding. I also have a side project where I’ve developed a cool Python package for visualising 3D models of molecules from public databases