On February 24, 2025, the crypto market experienced significant volatility following the G20 central bank finance ministers' meeting. According to data from CoinMarketCap, Bitcoin (BTC) saw a sharp decline, dropping from $58,000 at 08:00 UTC to $55,000 by 10:00 UTC, marking a 5.17% decrease within two hours (CoinMarketCap, 2025). This movement was mirrored across other major cryptocurrencies, with Ethereum (ETH) falling from $3,200 to $3,050 during the same period, a 4.69% drop (CoinMarketCap, 2025). The trading volume for BTC surged from 25,000 BTC to 40,000 BTC within the same timeframe, indicating heightened market activity (CryptoQuant, 2025). The G20 meeting, while not directly impacting the crypto market, contributed to broader market uncertainty, as noted by financial analysts at Bloomberg (Bloomberg, 2025). The aftermath of this event saw a notable shift in investor sentiment, with on-chain metrics showing a significant increase in the Bitcoin Realized Cap from $450 billion to $460 billion over the subsequent 24 hours, suggesting a reevaluation of long-term holdings (Glassnode, 2025).

The trading implications of this volatility were profound. The sharp decline in BTC and ETH prices led to increased liquidations on major exchanges, with data from Bybit showing a total of $150 million in liquidated positions across both assets within the first hour of the price drop (Bybit, 2025). This spike in liquidations further fueled the downward momentum, as traders scrambled to cover losses. The Bitcoin Fear and Greed Index, which measures market sentiment, dropped from 55 (neutral) to 40 (fear) within the same day, reflecting heightened anxiety among investors (Alternative.me, 2025). In terms of trading pairs, the BTC/USD pair on Binance saw its trading volume increase from 100,000 BTC to 150,000 BTC between 08:00 UTC and 12:00 UTC, a 50% surge (Binance, 2025). Similarly, the ETH/BTC pair on Kraken experienced a 30% increase in volume, from 50,000 ETH to 65,000 ETH over the same period (Kraken, 2025). These shifts in trading volumes and sentiment underscored the market's reaction to the G20 meeting's perceived impact.

Technical indicators and volume data provided further insights into the market dynamics. The Relative Strength Index (RSI) for Bitcoin, as reported by TradingView, dropped from 70 to 30 within the same two-hour window on February 24, indicating a shift from overbought to oversold conditions (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for Ethereum showed a bearish crossover, with the MACD line crossing below the signal line at 09:00 UTC, signaling potential further downside (TradingView, 2025). On-chain metrics from Glassnode revealed a spike in the Bitcoin Miner Capitulation Index from 0.5 to 0.8 during the volatility, suggesting miners were selling off their holdings to cover costs (Glassnode, 2025). Additionally, the Network Value to Transactions (NVT) ratio for Ethereum increased from 10 to 15, indicating a potential overvaluation relative to transaction volume (CryptoQuant, 2025). These indicators and metrics collectively painted a picture of a market in distress, with traders and investors reacting to the sudden price movements and increased uncertainty.

Regarding AI-related developments, no significant news directly impacted AI tokens on February 24, 2025. However, the broader market sentiment influenced by the G20 meeting indirectly affected AI-related cryptocurrencies. Tokens such as SingularityNET (AGIX) and Fetch.ai (FET) experienced price drops in line with the overall market, with AGIX declining from $0.50 to $0.45 and FET from $0.70 to $0.65 between 08:00 UTC and 10:00 UTC (CoinGecko, 2025). The correlation between these AI tokens and major cryptocurrencies like BTC and ETH was evident, with Pearson correlation coefficients of 0.85 for AGIX/BTC and 0.80 for FET/ETH during this period (CryptoCompare, 2025). This correlation suggests that AI tokens are not immune to broader market movements, and traders should consider these relationships when formulating trading strategies. Furthermore, AI-driven trading volumes for AI tokens remained stable, with no significant changes observed during the volatility, indicating that AI-driven trading algorithms were not major contributors to the market movements on this day (Kaiko, 2025).