Crypto Money Exchange Binance launched two new tokens within the scope of the Alpha pre -election listing pool to provide early access to investors: BUBB and Agon. This move attracted attention as part of Binance’s strategy to expand the ecosystem, while the token’s market performance was curious. During the first process days, both beings moved in different directions. Here are the details…
Binance added two altcoin to the prelocular pool
In order to make the new Token listing process more accessible, Binance brought BBB and AGON to users through Binance Alpha pre -election listing pool. This initiative offers investors the opportunity to provide early access to the tokens before they are opened to the market. This move, one of the steps of Binance to expand the ecosystem, began to attract the attention of investors on the platform. With the listing of BUB and Agon, the market performance of these tokens and the future growth potential is followed with curiosity.
How were prices affected?
BUBB and AGON, which Binance offered to users within the scope of Alpha front -selected listing pool, moved in different directions in the market. Tokenlar, investors allowed access to a large -scale listing, while the first day’s price movements drew attention.
According to the last 24 -hour data, Agon (Agon Agent) reached $ 0.01396 with a 53.53 %rise. On the other hand, BUBB (BUBB) lost 39.34 %and fell to $ 0.01447. These fluctuations show the interest of investors to tokens during the premature processing process and the first reactions of the market. Binance’s ecosystem expansion move within the scope of the long -term performance of these tokens will be closely monitored.
What is Agon and BUBB?
There is not much known about BUBB from these subcoins that Binance added to the pool. On the other hand, Agon is a project that attracts attention in the field of artificial intelligence. AGON is a general super clever system developed by independent developer @eighteen18x to solve multiple tasks. Based on deep learning and reinforcing learning techniques, it has now integrated four special artificial intelligence agents. According to the statements, this number is expected to increase. In addition, AGON gives quick and accurate answers to various demands from users through advanced natural language processing (NLP) and nervous network models. In depth analyzes user needs with continuous learning algorithms.
