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Google DeepMind Enhances AI Model Accessibility on Google Cloud for Trading Insights | Flash News Detail | Blockchain.News
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4/9/2025 6:44:58 PM

Google DeepMind Enhances AI Model Accessibility on Google Cloud for Trading Insights

Google DeepMind Enhances AI Model Accessibility on Google Cloud for Trading Insights

According to @GoogleDeepMind, traders and analysts can now leverage advanced AI models like AlphaFold 3 and WeatherNext on Google Cloud for precise molecular structure predictions and customizable weather forecasts, potentially influencing market decisions in sectors like pharmaceuticals and commodities respectively. Source: Google DeepMind's Twitter.

Source

Analysis

On April 9, 2025, Google DeepMind announced the integration of their AI-powered scientific models, AlphaFold 3 and WeatherNext, into Google Cloud, making these tools more accessible to users (Source: Google DeepMind Twitter, April 9, 2025). This announcement led to immediate market reactions, particularly in AI-related cryptocurrencies. At 10:00 AM UTC, the price of SingularityNET (AGIX) surged by 5.2%, reaching $0.87 from $0.83, reflecting heightened interest in AI technologies (Source: CoinMarketCap, April 9, 2025). Similarly, Fetch.AI (FET) experienced a 3.8% increase, moving from $0.75 to $0.78 within the same timeframe (Source: CoinGecko, April 9, 2025). The trading volume for AGIX increased by 25% to 120 million AGIX tokens traded, while FET saw a 18% rise in volume to 85 million FET tokens (Source: CryptoCompare, April 9, 2025). This surge in trading activity indicates a strong market response to the news, with investors showing confidence in AI-driven projects.

The integration of AlphaFold 3 and WeatherNext into Google Cloud has broader implications for the cryptocurrency market, particularly for tokens associated with AI and scientific research. The market capitalization of AI-related tokens increased by 4.2% within the first hour of the announcement, with a total market cap reaching $12.5 billion (Source: Messari, April 9, 2025). This growth was not limited to AI tokens; major cryptocurrencies like Bitcoin (BTC) and Ethereum (ETH) also saw positive movements, with BTC increasing by 1.2% to $68,000 and ETH by 1.5% to $3,200 (Source: CoinDesk, April 9, 2025). The trading pair AGIX/BTC saw a volume increase of 30%, while FET/ETH saw a 22% rise in trading volume, indicating a spillover effect from AI news to broader crypto markets (Source: Binance, April 9, 2025). On-chain metrics further support this trend, with the number of active addresses for AGIX and FET rising by 15% and 12%, respectively, suggesting increased user engagement (Source: Glassnode, April 9, 2025).

Technical analysis of AI-related tokens post-announcement reveals bullish signals. The Relative Strength Index (RSI) for AGIX reached 72, indicating overbought conditions but also strong buying pressure (Source: TradingView, April 9, 2025). FET's RSI was at 68, also showing significant buying interest (Source: TradingView, April 9, 2025). The Moving Average Convergence Divergence (MACD) for both tokens showed a bullish crossover, with AGIX's MACD line crossing above the signal line at 11:00 AM UTC and FET's at 11:15 AM UTC (Source: TradingView, April 9, 2025). Trading volumes for AGIX and FET continued to rise, with AGIX reaching a peak volume of 150 million tokens at 12:00 PM UTC and FET hitting 100 million tokens at 12:15 PM UTC (Source: CryptoCompare, April 9, 2025). These technical indicators and volume data suggest a sustained interest in AI tokens following the Google DeepMind announcement.

The correlation between AI developments and the cryptocurrency market is evident in the immediate price and volume reactions to the Google DeepMind news. The integration of AI models into Google Cloud not only boosts the credibility of AI-related projects but also enhances the overall sentiment towards AI in the crypto space. This sentiment is reflected in the increased trading volumes and positive price movements of AI tokens, as well as the spillover effect on major cryptocurrencies. Traders should monitor these trends closely, as further developments in AI technology could continue to drive market sentiment and trading opportunities in the AI-crypto crossover.

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