Moonshot emphasizes the top trend -cryptocurrency developments | Flash News Detail

On February 26, 2025, Moonshot reported on a significant trend on the cryptocurrency market, which highlights an increase in interest compared to AI-related token (Moonshot, 2025). The trend was initiated after a great announcement by a leading AI company via a new AI model with potential applications on the financial markets. This message led to an increase in the price of SingularityNet (AGIX) by 12% within the first hour of the announcement at 10:00 a.m. UTC, whereby the token reached a high point of $ 0.85 (Coingecko, 2025). At the same time, Fetch.ai (FET) recorded an increase of 9% at 10:15 a.m. UTC to USD 1.12 (CoinmarketCap, 2025). The trading volume for Agix rose to 150 million tokens within the same hour, an increase of 200% compared to the previous 24-hour average (cryptoquant, 2025). This event underlines the growing influence of AI developments on cryptocurrency markets, since investors quickly use the perceived potential of AI technologies in blockchain ecosystems.

The trade effects of this increase in AI-related tokens are significant. The increased interest led to a remarkable shift in market dynamics, with Agix and FET experiencing increased volatility. The AGIX/BTC trading couple recorded a volume by 180% at 10:30 a.m., while the volume of the FET/ETH pair rose by 150% at 10:45 a.m. (Tradingview, 2025). This volatility offered trade opportunities for both short -term and long -term investors. Short-term traders could use the quick price movements for quick profits, as can be seen from Agix's 5-minute price jump from USD 0.76 to USD 0.85 (binance, 2025). Long-term investors, on the other hand, could consider the increase as an indicator of persistent interest in AI technologies within the cryptor room, which may lead to strategic investments in AI-focused projects. The market mood towards Ki -token became particularly optimistic, which is evident from an increase in positive social media from AI cryptocurrencies within the first two hours after the announcement (Santiment, 2025).

Technical indicators for Agix and FET continue to confirm the optimistic trend. The relative starch index (RSI) for Agix reached UTC 72 at 11:00 a.m., which indicates strong buying pressure and potential over -tasted conditions (Tradingview, 2025). At 68, Fets RSI was somewhat lower at the same time, which indicates a somewhat less overheated market, but still indicates a strong Bullic impulse (Coingecko, 2025). The sliding average convergence divergence (MACD) for both tokens showed a bullish crossover at 10:30 a.m. UTC and signaled a possible continuation of the upward trend (CoinmarketCap, 2025). The commercial volumes for Agix and FET remained increased all day, with Agix maintaining an average volume of 120 million token per hour and FET at 90 million token per hour until 6:00 p.m. UTC (Cryptoquant, 2025). These technical indicators and volume data suggest that the reaction of the market to the AI ​​messages was not a fleeting event, but a persistent interest in AI-related tokens.

The correlation between AI developments and cryptocurrency markets is shown in the price movements and trade volumes of AI-related tokens. The announcement of the new AI model not only affected Agix and FET, but also had an impact on important cryptocurrencies. Bitcoin (BTC) recorded a modest increase of 2% to $ 50,000 at 11:00 a.m., while Ethereum (ETH) rose by 1.5% to $ 3,200 at the same time (Coinbase, 2025). This indicates that the wider market is influenced by AI news, albeit to a lesser extent as AI-specific tokens. The correlation coefficient between AGIX and BTC in the last 24 hours was calculated at 0.65, which indicates a moderate positive relationship (Cryptocompare, 2025). This correlation offers potential trading opportunities for those who want to diversify their portfolios on AI and important cryptocurrencies and use the networking of these markets. In addition, AI-controlled commercial algorithms probably contributed to the increased trading volumes, since these systems react quickly to the messages and adapted their trade strategies accordingly (Kaiko, 2025).