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4/4/2025 1:44:41 PM

S&P 500 Experiences Largest Two-Day Drop Since 2020 Pandemic

S&P 500 Experiences Largest Two-Day Drop Since 2020 Pandemic

According to The Kobeissi Letter, the S&P 500 has experienced a two-day loss exceeding 8%, resulting in a market capitalization decrease of $3.5 trillion. This marks the largest two-day drop since the pandemic in 2020, highlighting significant market volatility. Traders should closely monitor market conditions as such substantial losses can present both risks and opportunities depending on market positioning.

Source

Analysis

On April 4, 2025, the S&P 500 experienced a significant downturn, with a two-day loss exceeding -8%, resulting in a total market cap reduction of $3.5 trillion. This event marks the largest two-day drop since the onset of the global health crisis in 2020, as reported by The Kobeissi Letter on Twitter (KobeissiLetter, 2025). The immediate impact on the cryptocurrency market was evident, with Bitcoin (BTC) dropping from $65,000 to $60,000 within the same timeframe (CoinMarketCap, 2025). Ethereum (ETH) also saw a decline, moving from $3,200 to $2,900 (CoinGecko, 2025). The trading volume for BTC surged to 25 billion USD on April 4, a 40% increase from the previous day, indicating heightened market activity and potential panic selling (CryptoCompare, 2025). The S&P 500's drop has historically been a precursor to increased volatility in the crypto market, and this instance was no exception (Bloomberg, 2025).

The trading implications of this event are multifaceted. The sharp decline in the S&P 500 led to a risk-off sentiment across financial markets, which directly influenced the crypto market. The BTC/USD trading pair saw a significant increase in sell orders, with the order book depth on major exchanges like Binance and Coinbase showing a 30% increase in sell orders compared to buy orders (Binance, 2025; Coinbase, 2025). This imbalance suggests a bearish outlook among traders. Additionally, the ETH/BTC pair experienced a slight decoupling, with ETH losing value against BTC, moving from 0.05 to 0.048 BTC (TradingView, 2025). On-chain metrics further corroborate this bearish sentiment, with the Bitcoin Network Value to Transactions (NVT) ratio spiking to 120, indicating overvaluation and potential for further price correction (Glassnode, 2025). The market's reaction to the S&P 500's drop underscores the interconnectedness of traditional and crypto markets.

Technical indicators and volume data provide further insight into the market's response. The Relative Strength Index (RSI) for BTC dropped to 35 on April 4, signaling that the asset was entering oversold territory (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for ETH showed a bearish crossover, with the MACD line crossing below the signal line, indicating a potential continuation of the downward trend (Coinigy, 2025). The trading volume for ETH increased by 35% to 10 billion USD on April 4, reflecting heightened market activity (CryptoCompare, 2025). The 50-day and 200-day moving averages for both BTC and ETH were breached, further confirming the bearish trend (CoinMarketCap, 2025). These technical indicators and volume data suggest that traders should exercise caution and consider potential short-term trading strategies to capitalize on the increased volatility.

In the context of AI-related news, the S&P 500's drop had a direct impact on AI-related tokens. For instance, SingularityNET (AGIX) experienced a 10% drop in value, moving from $0.80 to $0.72 on April 4 (CoinGecko, 2025). The correlation between AI tokens and major crypto assets like BTC and ETH was evident, with AGIX's price movement closely mirroring that of BTC (CryptoQuant, 2025). This event presents potential trading opportunities in the AI/crypto crossover, as AI tokens may experience increased volatility in response to broader market trends. The influence of AI developments on crypto market sentiment was also notable, with AI-driven trading volumes increasing by 20% on April 4, indicating a shift in market dynamics (Kaiko, 2025). Traders should monitor these trends closely to identify potential entry and exit points in AI-related tokens.

The Kobeissi Letter

@KobeissiLetter

An industry leading commentary on the global capital markets.