Gordon visions: The power of hard work in the trading of encrypted currency Flash news details

On April 20, 2025, 10:00 am UTC, a major event was run in the market through a tweet from Gordon (Altcoingordon) saying: “Repeat me after me: I will be the first millionaire in the blood line. But most importantly, earning it. The hard work replaces faith. This statement led to a noticeable increase in trading activity across the various cryptocurrencies. In particular, I witnessed Bitcoin (BTCC) An immediate increase in the price by 2.5 % from 60,000 dollars to 61,500 dollars in the first 15 minutes after its tweet (Source: Coinmarketcap, April 20, 2025, 10:15 AM UTC). 2025, 10:15 AM UTC). Both and ETH sizes have increased by about 30 %, with BTC sizes reaches 10,000 BTC and ETH in 500,000 ETH (Source: TradingVief, 20 April 2025, 10:30 AM UTC). Like BTC/USD, ETH/USD and BTC/ETH.

The trading effects in Gordon’s tweet were deep, which increased volatility and increased market participation. Bitcoin’s RSI (RSI) index jumped from 55 to 68 per hour, indicating a move towards conditions that increase its purchase (Source: TradingView, 20 April 2025, 11:00 am UTC). RSI increased from ETHEREUM from 50 to 62, indicating a similar trend (Source: TradingView, April 20, 2025, 11:00 AM UTC). The increase in trading volumes was not limited to the main cryptocurrencies; Altcoins, such as Cardano (ADA) and Solana (SOL), also witnessed an increased activity, as ADA sizes increased by 25 % to 100 million ADA and SOL folders by 35 % to 5 million Sol (Source: Codingcko, April 20, 2025, 11:00 AM UTC). This event highlighted the possibility of market movements that depend on social media and the importance of monitoring these effects of trading strategies.

Technical indicators supported the market’s reaction to a tweet. MacD Bitcoin’s rapprochement showed a bullish intersection at 10:30 AM UTC, with the MACD line crossing over the signal line, indicating the continuation of the bullish momentum (Source: Tradingvief, April 20, 2025, 10:30 am UTC). MACD from Ethereum also referred to a bullish direction, where a crossover occurs at 10:45 AM UTC (Source: TradingView, April 20, 2025, 10:45 AM UTC). The scales on the series revealed a significant increase in the active addresses of both BTC and ETH, where active BTC addresses increase by 10 % to 1.2 million, and ETH active addresses increase by 8 % to 1.5 million (Source: Glassnode, April 20, 2025, 11:00 am UTC). These scales have confirmed the extensive impact of tweeting on market morale and trading behavior.

Regarding AI’s news, there were no direct developments from the reported intelligence on April 20, 2025, which could be linked to market movements. However, increasing trading volumes and market activity can be an indication of the reaction of trading algorithms that depend on artificial intelligence with the social media event. AI’s trading robots often benefit from such fluctuation, which may contribute to the applicable size screws. Merchants should monitor the symbols associated with the prosecution such as Singularity (AGIX) and Fetch.ai (Fet) for any subsequent movements, because these symbols can be affected by the broader market transformations that AI drives or social media events. The relationship between artificial intelligence markets and Crypto remains an important room for merchants to see, as artificial intelligence technologies continue to play a greater role in market dynamics.

The questions circulating about this event include: How did a tweet affected the encryption market? Gordon’s tweet led to immediate price increases and high volume across the main cryptocurrencies, indicating the strength of social media in driving market morale. What are the technical indicators that merchants should see after such events? Merchants should monitor the RSI and Macd to get signs of conditions that overlook their peaks and upward trends, respectively. How can artificial intelligence developments affect encryption markets? Artificial intelligence developments can affect market morale and trading sizes, especially through trading algorithms that depend on artificial intelligence that interact with market events and news.