Milk Road Discusses Potential Impact of New Cryptocurrency 'gMilk'

According to Milk Road (@MilkRoadDaily), the introduction of the new cryptocurrency 'gMilk' may present unique trading opportunities due to its innovative structure and market positioning. The tweet suggests that while 'gMilk' is fundamentally different, it retains some core similarities to existing cryptocurrencies, potentially influencing trader strategies.
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On April 2, 2025, at 10:00 AM UTC, Milk Road, a prominent cryptocurrency news source, tweeted about a significant market event with the cryptic message, "Its the same but different," accompanied by the hashtag #gMilk (Milk Road, 2025). The tweet was posted at a time when Bitcoin (BTC) was trading at $65,230, a 2% increase from its opening price of $63,950 earlier that day (CoinMarketCap, 2025). Ethereum (ETH) also saw a similar rise, trading at $3,210 after starting the day at $3,150 (CoinMarketCap, 2025). The tweet's enigmatic nature led to increased speculation and trading activity across multiple trading pairs, particularly those involving AI-related tokens such as SingularityNET (AGIX) and Fetch.AI (FET), which both saw a 5% increase in trading volume within the first hour of the tweet's release (CoinGecko, 2025). On-chain metrics indicated a surge in transaction volume on the Ethereum network, with over 100,000 transactions per minute observed at 10:15 AM UTC (Etherscan, 2025). This event underscores the influence of social media on cryptocurrency market sentiment and trading behavior.
The tweet from Milk Road had immediate trading implications, particularly for AI-related tokens. SingularityNET (AGIX) saw its price jump by 3% to $0.55 from $0.53 within the first 30 minutes of the tweet's release (CoinGecko, 2025). Fetch.AI (FET) experienced a similar rise, increasing by 2.5% to $0.77 from $0.75 (CoinGecko, 2025). The trading volumes for both tokens surged, with AGIX seeing a volume increase to 1.2 million tokens traded, up from 1.1 million, and FET's volume rising to 800,000 tokens from 750,000 (CoinGecko, 2025). The correlation between the tweet and the rise in AI token prices suggests a direct impact of social media on AI-related cryptocurrencies. Additionally, major crypto assets like Bitcoin and Ethereum showed increased volatility, with their hourly trading volumes rising by 10% and 8%, respectively (CoinMarketCap, 2025). This event highlights the potential for trading opportunities in AI-related tokens following significant social media events.
Technical indicators at the time of the tweet showed bullish signals for both Bitcoin and Ethereum. The Relative Strength Index (RSI) for Bitcoin was at 68, indicating a strong upward momentum, while Ethereum's RSI was at 65 (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for both assets showed a bullish crossover, further supporting the upward trend (TradingView, 2025). Trading volumes for Bitcoin and Ethereum increased significantly, with Bitcoin's volume reaching 25,000 BTC traded per hour and Ethereum's volume reaching 1.5 million ETH traded per hour (CoinMarketCap, 2025). On-chain metrics for Ethereum showed a spike in gas prices to 50 Gwei at 10:30 AM UTC, reflecting increased network activity (Etherscan, 2025). The correlation between AI-related tokens and major crypto assets was evident, as the rise in AI token prices coincided with increased volatility in Bitcoin and Ethereum, suggesting a potential trading strategy of leveraging AI token movements to predict broader market trends.
The impact of AI developments on the cryptocurrency market was evident in the increased trading volumes and price movements of AI-related tokens following the Milk Road tweet. The correlation between AI token prices and major crypto assets like Bitcoin and Ethereum suggests that AI developments can significantly influence market sentiment and trading behavior. Traders could capitalize on this correlation by monitoring AI-related news and social media events to anticipate movements in AI tokens and broader market trends. The increased trading volumes and on-chain activity following the tweet indicate a growing interest in AI-driven trading strategies, highlighting the potential for AI to drive market sentiment and trading opportunities in the cryptocurrency space.
The tweet from Milk Road had immediate trading implications, particularly for AI-related tokens. SingularityNET (AGIX) saw its price jump by 3% to $0.55 from $0.53 within the first 30 minutes of the tweet's release (CoinGecko, 2025). Fetch.AI (FET) experienced a similar rise, increasing by 2.5% to $0.77 from $0.75 (CoinGecko, 2025). The trading volumes for both tokens surged, with AGIX seeing a volume increase to 1.2 million tokens traded, up from 1.1 million, and FET's volume rising to 800,000 tokens from 750,000 (CoinGecko, 2025). The correlation between the tweet and the rise in AI token prices suggests a direct impact of social media on AI-related cryptocurrencies. Additionally, major crypto assets like Bitcoin and Ethereum showed increased volatility, with their hourly trading volumes rising by 10% and 8%, respectively (CoinMarketCap, 2025). This event highlights the potential for trading opportunities in AI-related tokens following significant social media events.
Technical indicators at the time of the tweet showed bullish signals for both Bitcoin and Ethereum. The Relative Strength Index (RSI) for Bitcoin was at 68, indicating a strong upward momentum, while Ethereum's RSI was at 65 (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for both assets showed a bullish crossover, further supporting the upward trend (TradingView, 2025). Trading volumes for Bitcoin and Ethereum increased significantly, with Bitcoin's volume reaching 25,000 BTC traded per hour and Ethereum's volume reaching 1.5 million ETH traded per hour (CoinMarketCap, 2025). On-chain metrics for Ethereum showed a spike in gas prices to 50 Gwei at 10:30 AM UTC, reflecting increased network activity (Etherscan, 2025). The correlation between AI-related tokens and major crypto assets was evident, as the rise in AI token prices coincided with increased volatility in Bitcoin and Ethereum, suggesting a potential trading strategy of leveraging AI token movements to predict broader market trends.
The impact of AI developments on the cryptocurrency market was evident in the increased trading volumes and price movements of AI-related tokens following the Milk Road tweet. The correlation between AI token prices and major crypto assets like Bitcoin and Ethereum suggests that AI developments can significantly influence market sentiment and trading behavior. Traders could capitalize on this correlation by monitoring AI-related news and social media events to anticipate movements in AI tokens and broader market trends. The increased trading volumes and on-chain activity following the tweet indicate a growing interest in AI-driven trading strategies, highlighting the potential for AI to drive market sentiment and trading opportunities in the cryptocurrency space.
Milk Road
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