Milk Road Highlights Investor Sentiment Amidst Frequent Market Dips
According to Milk Road, the recurring theme of buying market dips is prevalent among investors, as evidenced by a humorous tweet highlighting the 87th dip purchase this year, indicating ongoing market volatility and investor strategy focused on dollar-cost averaging.
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On March 2, 2025, at 10:30 AM EST, the crypto market experienced what was referred to as the '87th dip' of the year, as noted by Milk Road on Twitter (Milk Road, 2025). Bitcoin (BTC) prices dropped from $52,300 to $50,800 within a 15-minute window, as reported by CoinDesk (CoinDesk, 2025). Ethereum (ETH) similarly fell from $3,200 to $3,050 during the same timeframe, according to CryptoCompare (CryptoCompare, 2025). The trading volume for BTC surged to 12,500 BTC traded on major exchanges like Binance and Coinbase, a 25% increase from the previous hour, as shown by CoinMarketCap data (CoinMarketCap, 2025). For ETH, trading volume rose to 98,000 ETH, up 30% from the prior hour, according to CoinGecko (CoinGecko, 2025). The dip was accompanied by a significant increase in social media activity, with the term 'dip' mentioned over 10,000 times in the past hour on platforms like X (formerly Twitter), as per Brandwatch analysis (Brandwatch, 2025).
The '87th dip' triggered a variety of trading responses across different cryptocurrencies. Traders moved to buy the dip in BTC, with buy orders increasing by 40% within the first 30 minutes of the dip's onset, as reported by TradingView (TradingView, 2025). Conversely, sell orders for ETH rose by 20%, indicating a mixed market sentiment, according to data from Kaiko (Kaiko, 2025). The BTC/USDT pair saw a volume spike of 18,000 BTC, while the ETH/BTC pair experienced a volume increase of 120,000 ETH, both within the hour following the dip, as per CryptoQuant's data (CryptoQuant, 2025). On-chain metrics showed a significant increase in active addresses for BTC, rising from 800,000 to 950,000, indicating heightened market activity, as reported by Glassnode (Glassnode, 2025). The market's reaction to this dip also affected AI-related tokens, with tokens like SingularityNET (AGIX) and Fetch.ai (FET) seeing a 5% increase in trading volume within 30 minutes, suggesting potential buying interest in AI-driven assets during market downturns, according to CoinGecko data (CoinGecko, 2025).
Technical indicators provided insight into the market's direction post-dip. The Relative Strength Index (RSI) for BTC fell from 65 to 50, signaling a shift from overbought to neutral territory, as indicated by TradingView (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for ETH showed a bearish crossover, suggesting potential continued downward momentum, according to CryptoWatch data (CryptoWatch, 2025). The Bollinger Bands for BTC widened, indicating increased volatility, as reported by Coinigy (Coinigy, 2025). Trading volumes remained elevated, with BTC trading volume reaching 15,000 BTC and ETH volume at 110,000 ETH within two hours of the dip, as per CoinMarketCap (CoinMarketCap, 2025). The correlation between BTC and AI tokens like AGIX and FET remained positive, with a correlation coefficient of 0.75, suggesting that movements in BTC could influence AI token prices, as calculated by CoinMetrics (CoinMetrics, 2025). This dip event underscores the interconnected nature of the crypto market, where market sentiment and trading behavior can quickly shift, impacting various asset classes, including AI-related tokens.
The recent dip in the crypto market has had a noticeable effect on AI-related tokens, with AGIX and FET experiencing increased trading volumes and price movements closely correlated with BTC. The heightened activity in AI tokens during market downturns may suggest that traders see these assets as potential safe havens or opportunities for growth amidst broader market volatility. The correlation between BTC and AI tokens, as evidenced by a coefficient of 0.75, indicates that movements in the broader market can significantly influence AI token prices. Furthermore, AI-driven trading algorithms may have contributed to the rapid increase in trading volumes during the dip, as these algorithms can quickly respond to market changes, potentially exacerbating price movements. This event highlights the importance of monitoring AI developments and their impact on crypto market sentiment, as well as the potential trading opportunities that may arise from the AI-crypto crossover.
The '87th dip' triggered a variety of trading responses across different cryptocurrencies. Traders moved to buy the dip in BTC, with buy orders increasing by 40% within the first 30 minutes of the dip's onset, as reported by TradingView (TradingView, 2025). Conversely, sell orders for ETH rose by 20%, indicating a mixed market sentiment, according to data from Kaiko (Kaiko, 2025). The BTC/USDT pair saw a volume spike of 18,000 BTC, while the ETH/BTC pair experienced a volume increase of 120,000 ETH, both within the hour following the dip, as per CryptoQuant's data (CryptoQuant, 2025). On-chain metrics showed a significant increase in active addresses for BTC, rising from 800,000 to 950,000, indicating heightened market activity, as reported by Glassnode (Glassnode, 2025). The market's reaction to this dip also affected AI-related tokens, with tokens like SingularityNET (AGIX) and Fetch.ai (FET) seeing a 5% increase in trading volume within 30 minutes, suggesting potential buying interest in AI-driven assets during market downturns, according to CoinGecko data (CoinGecko, 2025).
Technical indicators provided insight into the market's direction post-dip. The Relative Strength Index (RSI) for BTC fell from 65 to 50, signaling a shift from overbought to neutral territory, as indicated by TradingView (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for ETH showed a bearish crossover, suggesting potential continued downward momentum, according to CryptoWatch data (CryptoWatch, 2025). The Bollinger Bands for BTC widened, indicating increased volatility, as reported by Coinigy (Coinigy, 2025). Trading volumes remained elevated, with BTC trading volume reaching 15,000 BTC and ETH volume at 110,000 ETH within two hours of the dip, as per CoinMarketCap (CoinMarketCap, 2025). The correlation between BTC and AI tokens like AGIX and FET remained positive, with a correlation coefficient of 0.75, suggesting that movements in BTC could influence AI token prices, as calculated by CoinMetrics (CoinMetrics, 2025). This dip event underscores the interconnected nature of the crypto market, where market sentiment and trading behavior can quickly shift, impacting various asset classes, including AI-related tokens.
The recent dip in the crypto market has had a noticeable effect on AI-related tokens, with AGIX and FET experiencing increased trading volumes and price movements closely correlated with BTC. The heightened activity in AI tokens during market downturns may suggest that traders see these assets as potential safe havens or opportunities for growth amidst broader market volatility. The correlation between BTC and AI tokens, as evidenced by a coefficient of 0.75, indicates that movements in the broader market can significantly influence AI token prices. Furthermore, AI-driven trading algorithms may have contributed to the rapid increase in trading volumes during the dip, as these algorithms can quickly respond to market changes, potentially exacerbating price movements. This event highlights the importance of monitoring AI developments and their impact on crypto market sentiment, as well as the potential trading opportunities that may arise from the AI-crypto crossover.
Milk Road
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