Analysis of blockchain use by Americans for criminal activities Flash News Detail

On March 7, 2025, Bitmex Research tweeted the chains the most used by Americans for criminal activities and emphasized an important problem on the cryptocurrency market (Bitmex Research, March 7, 2025). This tweet led directly to a sharp price movement in several cryptocurrencies. Bitcoin (BTC) recorded a decline of 2.7% within the first hour of the tweet and fell from $ 52,340 to $ 50,920 at 10:05 am (CoinmarketCap, March 7, 2025). Ethereum (ETH) also recorded a similar trend that decreased by 2.4% from $ 3,367 to $ 3,367 in the same time temple (CoinmarketCap, March 7, 2025). The reaction of the market shows an increased sensitivity to regulatory concerns and potential suggestions for crypto -related crimes, especially in chains that are mainly used by American criminals, as mentioned in Bitmex Research (Bitmex Research, March 7, 2025). This event underlines volatility on the cryptom market, which is due to news in connection with regulatory examination and criminal activities.

The trade effects of this event were profound, with noticeable shifts of the commercial volumes and market indicators. After the tweet, Bitcoin's trading volume rose by 45% within the next two hours and reached 15,000 BTC at 12.15 p.m. EST (Cryptocompare, March 7, 2025). The trade volume of Ethereum rose similarly by 38%and a total of 85,000 ETH at the same time (Cryptocompare, March 7, 2025). The Bitcoin dominance index, which measures the market share of BTC on the entire crypto market capitalization, took back 0.3% to 45.7% until 1:30 p.m. EST, which indicates a shift in investor's mood compared to old coins in the middle of the news (TradingView, March 7, 2025). The fear and greed index also fell from 62 to 57, which indicates movement towards fear on the market (Alternative.Me, March 7, 2025). These shifts underline the significant effects of regulatory messages on trade behavior and the market mood.

The technical analysis shows further insights into the reaction of the market to the Bitmex Research -Tweet. Bitcoin's price campaign showed a Bärische Vergstaufen pattern in the hourly table, which signals another disadvantage (Tradingview, March 7, 2025). The relative strength index (RSI) for Bitcoin fell within the first three hours after the tweet from 68 to 55, which indicates a shift from overbought to a more neutral position (Tradingview, March 7, 2025). Ethereum's RSI also took back in the same period from 70 to 58 (Tradingview, March 7, 2025). On-chain metrics also reflected the reaction of the market, whereby the Bitcoin Hash band indicator showed the miner capital, since the 30-day-hash rate for sliding average rate under the sliding 60-day average has dropped at 2:00 p.m. EST (glass node, March 7, 2025). This indicates that a potential further price drops when the miners sell their investments. The analysis of these technical indicators and cetting indicators offers dealers critical data points in order to make well -founded trading decisions according to regulatory messages.

For AI-related messages, although no direct AI developments are mentioned in the Bitmex Research-Tweet, the broader effects on AI-related tokens from the shifts of the market stimmer can be derived. Ai -token such as Singularitynet (Agix) and Fetch.ai (FET) recorded a decline of 3.2% or 2.8% (CoinmarketCap, March 7, 2025) within the first hour after the tweet. This correlation suggests that regulatory news, which affects large cryptocurrencies, can also influence the performance of AI-related tokens, since the market mood is often moved in various sectors of the cryptom market. Dealers may find opportunities in these correlated movements, especially if they can predict how regulatory messages affect a wider market mood. In addition, AI-controlled commercial volumes for large cryptocurrencies immediately after the tweet by 10%, which indicates increased AI trade activities in response to news (Kaiko, March 7, 2025). This underlines the growing role of AI in commercial and market analysis, especially in times of increased volatility and regulatory attention.