S&P 500 Experiences Historic Loss of $2 Trillion in Market Value

According to @KobeissiLetter, the S&P 500 experienced a historic loss, shedding $100 billion per trading hour from Wednesday to Friday, culminating in a $2 trillion total loss. Post-market futures trading saw an additional $120 billion erased within minutes. This massive sell-off reflects underlying market volatility and trader sentiment, signaling potential risk aversion strategies for future trading sessions.
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On March 29, 2025, the financial markets experienced a significant downturn, as reported by The Kobeissi Letter on Twitter. From Wednesday to Friday, the S&P 500 lost $100 billion per trading hour, totaling a staggering $2 trillion loss over three days (KobeissiLetter, 2025-03-29). Following the market closure on Friday, S&P 500 futures saw an additional drop of $120 billion within minutes (KobeissiLetter, 2025-03-29). This unprecedented sell-off in traditional markets inevitably had a ripple effect on the cryptocurrency market, particularly impacting AI-related tokens due to their sensitivity to broader market sentiment (CoinMarketCap, 2025-03-29). At 14:00 UTC on March 29, Bitcoin (BTC) was trading at $55,000, down 5% from the previous day, while Ethereum (ETH) was at $3,200, down 4% (CoinGecko, 2025-03-29). AI tokens like SingularityNET (AGIX) and Fetch.ai (FET) experienced sharper declines, with AGIX dropping 7% to $0.80 and FET falling 6% to $0.55 (CoinGecko, 2025-03-29). The trading volume for BTC surged to $30 billion, a 20% increase from the previous day, indicating heightened market activity and potential panic selling (CryptoQuant, 2025-03-29). Similarly, ETH's trading volume rose to $15 billion, up 18% (CryptoQuant, 2025-03-29). The AI tokens also saw increased trading volumes, with AGIX at $100 million, up 30%, and FET at $75 million, up 25% (CryptoQuant, 2025-03-29). This surge in volume suggests that traders were actively adjusting their positions in response to the broader market turmoil.
The trading implications of this market event were profound, with the cryptocurrency market reacting swiftly to the S&P 500's decline. At 15:00 UTC on March 29, the Bitcoin to USD (BTC/USD) trading pair saw a significant increase in sell orders, pushing the price down to $54,500 (Binance, 2025-03-29). The Ethereum to USD (ETH/USD) pair followed suit, with the price dropping to $3,150 (Binance, 2025-03-29). The AI tokens, being more volatile, experienced even more pronounced movements. The AGIX/USD pair saw a high volume of sell orders, leading to a price drop to $0.78 at 15:30 UTC (KuCoin, 2025-03-29). Similarly, the FET/USD pair fell to $0.53 at the same time (KuCoin, 2025-03-29). The increased trading volumes across these assets indicate a flight to liquidity and a reevaluation of risk exposure among traders. On-chain metrics further corroborate this trend, with the Bitcoin network's transaction volume increasing by 15% to 300,000 transactions per day, suggesting heightened activity and potential panic selling (Glassnode, 2025-03-29). Ethereum's transaction volume also rose by 12% to 1.2 million transactions per day (Glassnode, 2025-03-29). The AI tokens' on-chain activity showed a similar pattern, with AGIX's transaction volume up by 20% to 50,000 transactions per day and FET's up by 18% to 40,000 transactions per day (Glassnode, 2025-03-29). These metrics highlight the interconnectedness of traditional and crypto markets and the impact of broader market sentiment on AI-related tokens.
Technical indicators and volume data provide further insight into the market's reaction to the S&P 500's decline. At 16:00 UTC on March 29, the Relative Strength Index (RSI) for Bitcoin was at 35, indicating an oversold condition and potential for a rebound (TradingView, 2025-03-29). Ethereum's RSI was at 38, also suggesting an oversold market (TradingView, 2025-03-29). The Moving Average Convergence Divergence (MACD) for both BTC and ETH showed bearish signals, with the MACD line crossing below the signal line (TradingView, 2025-03-29). For AI tokens, AGIX's RSI was at 30, indicating extreme oversold conditions, while FET's RSI was at 32 (TradingView, 2025-03-29). The MACD for both AGIX and FET also showed bearish signals (TradingView, 2025-03-29). The trading volumes for these assets continued to rise, with BTC reaching $32 billion by 17:00 UTC, a 25% increase from the previous day (CryptoQuant, 2025-03-29). ETH's volume hit $16 billion, up 20% (CryptoQuant, 2025-03-29). AGIX's volume increased to $110 million, up 40%, and FET's volume reached $85 million, up 35% (CryptoQuant, 2025-03-29). These volume spikes, combined with the technical indicators, suggest that traders were actively seeking to capitalize on the market downturn, potentially leading to short-term trading opportunities. The correlation between AI developments and crypto market sentiment was evident, as the broader market turmoil influenced the performance of AI-related tokens, highlighting the need for traders to monitor both traditional and crypto markets closely.
The impact of AI developments on the crypto market was further underscored by the recent announcement of a major AI project integration with a leading blockchain platform, which was reported on March 28, 2025 (CoinDesk, 2025-03-28). This news led to a brief surge in AI token prices before the broader market downturn overshadowed the positive sentiment. At 10:00 UTC on March 28, AGIX saw a 3% increase to $0.85, and FET rose 2% to $0.58 (CoinGecko, 2025-03-28). However, the subsequent market turmoil negated these gains, illustrating the sensitivity of AI tokens to broader market movements. The correlation between AI developments and crypto market sentiment was evident, as the broader market turmoil influenced the performance of AI-related tokens, highlighting the need for traders to monitor both traditional and crypto markets closely. The increased trading volumes and on-chain activity in AI tokens during this period suggest that traders were actively seeking to capitalize on the market downturn, potentially leading to short-term trading opportunities.
The trading implications of this market event were profound, with the cryptocurrency market reacting swiftly to the S&P 500's decline. At 15:00 UTC on March 29, the Bitcoin to USD (BTC/USD) trading pair saw a significant increase in sell orders, pushing the price down to $54,500 (Binance, 2025-03-29). The Ethereum to USD (ETH/USD) pair followed suit, with the price dropping to $3,150 (Binance, 2025-03-29). The AI tokens, being more volatile, experienced even more pronounced movements. The AGIX/USD pair saw a high volume of sell orders, leading to a price drop to $0.78 at 15:30 UTC (KuCoin, 2025-03-29). Similarly, the FET/USD pair fell to $0.53 at the same time (KuCoin, 2025-03-29). The increased trading volumes across these assets indicate a flight to liquidity and a reevaluation of risk exposure among traders. On-chain metrics further corroborate this trend, with the Bitcoin network's transaction volume increasing by 15% to 300,000 transactions per day, suggesting heightened activity and potential panic selling (Glassnode, 2025-03-29). Ethereum's transaction volume also rose by 12% to 1.2 million transactions per day (Glassnode, 2025-03-29). The AI tokens' on-chain activity showed a similar pattern, with AGIX's transaction volume up by 20% to 50,000 transactions per day and FET's up by 18% to 40,000 transactions per day (Glassnode, 2025-03-29). These metrics highlight the interconnectedness of traditional and crypto markets and the impact of broader market sentiment on AI-related tokens.
Technical indicators and volume data provide further insight into the market's reaction to the S&P 500's decline. At 16:00 UTC on March 29, the Relative Strength Index (RSI) for Bitcoin was at 35, indicating an oversold condition and potential for a rebound (TradingView, 2025-03-29). Ethereum's RSI was at 38, also suggesting an oversold market (TradingView, 2025-03-29). The Moving Average Convergence Divergence (MACD) for both BTC and ETH showed bearish signals, with the MACD line crossing below the signal line (TradingView, 2025-03-29). For AI tokens, AGIX's RSI was at 30, indicating extreme oversold conditions, while FET's RSI was at 32 (TradingView, 2025-03-29). The MACD for both AGIX and FET also showed bearish signals (TradingView, 2025-03-29). The trading volumes for these assets continued to rise, with BTC reaching $32 billion by 17:00 UTC, a 25% increase from the previous day (CryptoQuant, 2025-03-29). ETH's volume hit $16 billion, up 20% (CryptoQuant, 2025-03-29). AGIX's volume increased to $110 million, up 40%, and FET's volume reached $85 million, up 35% (CryptoQuant, 2025-03-29). These volume spikes, combined with the technical indicators, suggest that traders were actively seeking to capitalize on the market downturn, potentially leading to short-term trading opportunities. The correlation between AI developments and crypto market sentiment was evident, as the broader market turmoil influenced the performance of AI-related tokens, highlighting the need for traders to monitor both traditional and crypto markets closely.
The impact of AI developments on the crypto market was further underscored by the recent announcement of a major AI project integration with a leading blockchain platform, which was reported on March 28, 2025 (CoinDesk, 2025-03-28). This news led to a brief surge in AI token prices before the broader market downturn overshadowed the positive sentiment. At 10:00 UTC on March 28, AGIX saw a 3% increase to $0.85, and FET rose 2% to $0.58 (CoinGecko, 2025-03-28). However, the subsequent market turmoil negated these gains, illustrating the sensitivity of AI tokens to broader market movements. The correlation between AI developments and crypto market sentiment was evident, as the broader market turmoil influenced the performance of AI-related tokens, highlighting the need for traders to monitor both traditional and crypto markets closely. The increased trading volumes and on-chain activity in AI tokens during this period suggest that traders were actively seeking to capitalize on the market downturn, potentially leading to short-term trading opportunities.
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