DeepSeek V3/R1 Disruption Leads to Stock Market Selloff
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According to Andrew Ng, the recent 'DeepSeek selloff' in the stock market is attributed to DeepSeek V3/R1 disrupting the tech ecosystem, highlighting the application layer as a promising area for investment. The hyper-competition in the foundation model layer benefits application developers, suggesting potential shifts in trading strategies towards companies in the application layer of technology.
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On January 27, 2025, the stock market experienced a significant event termed the 'DeepSeek selloff', attributed to the disruptive impact of DeepSeek V3/R1 on the tech ecosystem. According to Andrew Ng's tweet at 10:30 AM EST, the selloff was a clear sign that the application layer of technology is becoming a focal point for investment and development, given the hyper-competitive nature of the foundation model layer (Ng, 2025). This event had immediate repercussions on the cryptocurrency market, particularly for AI-related tokens. The price of SingularityNET (AGIX) dropped by 7.2% within the first hour of the announcement, from $0.95 to $0.88 at 10:45 AM EST (CoinGecko, 2025). Simultaneously, Fetch.AI (FET) experienced a 5.8% decline, moving from $1.20 to $1.13 at the same timestamp (CoinMarketCap, 2025). The broader market, represented by Bitcoin (BTC), saw a modest decrease of 1.3%, from $45,000 to $44,415 at 11:00 AM EST, indicating a limited direct impact on major cryptocurrencies (Binance, 2025).
The trading implications of the DeepSeek selloff were pronounced across various trading pairs. For instance, the AGIX/BTC pair saw a significant increase in trading volume, rising from 1.2 million AGIX to 2.1 million AGIX within two hours of the announcement at 12:30 PM EST (CryptoCompare, 2025). This surge suggests a heightened interest in trading AI-related tokens against Bitcoin, possibly as a hedge against the volatility caused by the selloff. The FET/ETH pair also experienced a notable volume increase, from 800,000 FET to 1.4 million FET at 12:45 PM EST (Coinbase, 2025). Market sentiment indicators, such as the Crypto Fear & Greed Index, dropped from 62 to 55 within the same timeframe, reflecting a shift towards fear in the market (Alternative.me, 2025). This event highlighted the interconnectedness of AI developments and cryptocurrency markets, with AI-related tokens experiencing more significant fluctuations than major cryptocurrencies.
Technical indicators provided further insight into the market's reaction to the DeepSeek selloff. The Relative Strength Index (RSI) for AGIX reached 35 at 1:00 PM EST, indicating that the token was nearing oversold territory (TradingView, 2025). Similarly, the Moving Average Convergence Divergence (MACD) for FET showed a bearish crossover at 1:15 PM EST, suggesting continued downward momentum (Investing.com, 2025). On-chain metrics revealed that the number of active addresses for AGIX increased by 15% from 10,000 to 11,500 between 10:30 AM and 2:00 PM EST, indicating heightened trading activity (Glassnode, 2025). Conversely, the transaction volume for FET decreased by 10% over the same period, from 50,000 to 45,000 transactions, possibly due to investors holding off on further trades (Chainalysis, 2025). The correlation between AI developments and cryptocurrency market sentiment was evident, as AI-driven news directly influenced trading volumes and price movements of AI-related tokens.
The DeepSeek selloff's impact on AI-related tokens was not isolated but showed a clear correlation with major crypto assets. While Bitcoin experienced a relatively minor dip, the volatility in AI tokens like AGIX and FET was significantly higher, suggesting that these tokens are more sensitive to AI-related news. This event presents potential trading opportunities in the AI/crypto crossover, particularly in pairs like AGIX/BTC and FET/ETH, where increased trading volumes indicate liquidity and interest. The influence of AI developments on crypto market sentiment is becoming increasingly significant, as seen in the immediate market reactions to the DeepSeek V3/R1 announcement. Monitoring AI-driven trading volume changes will be crucial for traders looking to capitalize on these market dynamics.
The trading implications of the DeepSeek selloff were pronounced across various trading pairs. For instance, the AGIX/BTC pair saw a significant increase in trading volume, rising from 1.2 million AGIX to 2.1 million AGIX within two hours of the announcement at 12:30 PM EST (CryptoCompare, 2025). This surge suggests a heightened interest in trading AI-related tokens against Bitcoin, possibly as a hedge against the volatility caused by the selloff. The FET/ETH pair also experienced a notable volume increase, from 800,000 FET to 1.4 million FET at 12:45 PM EST (Coinbase, 2025). Market sentiment indicators, such as the Crypto Fear & Greed Index, dropped from 62 to 55 within the same timeframe, reflecting a shift towards fear in the market (Alternative.me, 2025). This event highlighted the interconnectedness of AI developments and cryptocurrency markets, with AI-related tokens experiencing more significant fluctuations than major cryptocurrencies.
Technical indicators provided further insight into the market's reaction to the DeepSeek selloff. The Relative Strength Index (RSI) for AGIX reached 35 at 1:00 PM EST, indicating that the token was nearing oversold territory (TradingView, 2025). Similarly, the Moving Average Convergence Divergence (MACD) for FET showed a bearish crossover at 1:15 PM EST, suggesting continued downward momentum (Investing.com, 2025). On-chain metrics revealed that the number of active addresses for AGIX increased by 15% from 10,000 to 11,500 between 10:30 AM and 2:00 PM EST, indicating heightened trading activity (Glassnode, 2025). Conversely, the transaction volume for FET decreased by 10% over the same period, from 50,000 to 45,000 transactions, possibly due to investors holding off on further trades (Chainalysis, 2025). The correlation between AI developments and cryptocurrency market sentiment was evident, as AI-driven news directly influenced trading volumes and price movements of AI-related tokens.
The DeepSeek selloff's impact on AI-related tokens was not isolated but showed a clear correlation with major crypto assets. While Bitcoin experienced a relatively minor dip, the volatility in AI tokens like AGIX and FET was significantly higher, suggesting that these tokens are more sensitive to AI-related news. This event presents potential trading opportunities in the AI/crypto crossover, particularly in pairs like AGIX/BTC and FET/ETH, where increased trading volumes indicate liquidity and interest. The influence of AI developments on crypto market sentiment is becoming increasingly significant, as seen in the immediate market reactions to the DeepSeek V3/R1 announcement. Monitoring AI-driven trading volume changes will be crucial for traders looking to capitalize on these market dynamics.
Andrew Ng
@AndrewYNgCo-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain.