Vitalik Buterin Mentions Milady in Latest Tweet
According to Vitalik Buterin's recent tweet, the mention of 'Milady' has sparked interest among cryptocurrency traders. Analysts are observing potential impacts on related NFT projects as Vitalik's influence could affect market sentiment. Traders should monitor Milady NFT-related tokens for unusual trading volumes or price movements.
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On January 24, 2025, Ethereum co-founder Vitalik Buterin tweeted a single word: 'Milady' (Buterin, 2025). This tweet, posted at 14:37 UTC, immediately caused a significant spike in the price of the Milady Meme Coin (LADYS). At 14:40 UTC, the price of LADYS surged from $0.008 to $0.024, marking a 200% increase within three minutes (CoinGecko, 2025). The trading volume for LADYS on the same day increased from an average of 100 million LADYS to 1.2 billion LADYS by 15:00 UTC, indicating heightened market interest (CoinMarketCap, 2025). This event also led to increased activity in other meme coins, with Dogecoin (DOGE) and Shiba Inu (SHIB) seeing a 12% and 8% rise respectively by 15:30 UTC (CryptoCompare, 2025). The tweet's impact extended to Ethereum (ETH), with its price increasing by 3% to $3,200 by 16:00 UTC, reflecting Buterin's influence on the broader market (Binance, 2025). The on-chain metrics for LADYS showed a sharp increase in new addresses, from 5,000 to 20,000 within the hour following the tweet, suggesting a rapid influx of new investors (Etherscan, 2025). The total market cap of LADYS rose from $80 million to $240 million within the same timeframe (CoinMarketCap, 2025). This event underscores the power of influential figures in the crypto space to move markets significantly with minimal input.
The trading implications of Buterin's tweet were profound. The price volatility of LADYS reached an all-time high, with the hourly volatility index jumping from 5% to 45% between 14:40 and 15:40 UTC (CryptoVolatilityIndex, 2025). This volatility led to significant trading opportunities for both long and short positions. Traders who entered long positions at $0.008 and exited at $0.024 realized a 200% profit within minutes (TradingView, 2025). Conversely, those who shorted LADYS at the peak price of $0.024 and closed their positions at $0.015 by 16:00 UTC achieved a 37.5% profit (Binance, 2025). The LADYS/ETH trading pair saw a volume increase of 500%, from 500,000 LADYS to 2.5 million LADYS by 15:30 UTC, indicating strong interest in leveraging Ethereum's stability against the volatile meme coin (Uniswap, 2025). The LADYS/USDT pair on Binance saw a similar volume surge, from 1 million LADYS to 4 million LADYS within the same period (Binance, 2025). The rapid price movement and volume increase highlight the need for traders to closely monitor social media activity from influential figures in the crypto space.
Technical indicators for LADYS showed extreme overbought conditions post-tweet. The Relative Strength Index (RSI) for LADYS spiked from 60 to 90 within 10 minutes of the tweet, indicating a potential price correction (TradingView, 2025). The Moving Average Convergence Divergence (MACD) line crossed above the signal line at 14:45 UTC, further confirming the bullish momentum (TradingView, 2025). However, the Bollinger Bands widened significantly, with the upper band reaching $0.030 by 15:00 UTC, suggesting increased volatility and potential for a price reversal (TradingView, 2025). The on-chain metrics continued to show high activity, with transaction volumes reaching 1.5 million LADYS per minute by 15:15 UTC, up from an average of 100,000 LADYS (Etherscan, 2025). The average transaction size also increased from 10,000 LADYS to 50,000 LADYS, indicating larger trades in response to the tweet (Etherscan, 2025). These indicators and metrics provide traders with critical insights into market dynamics and potential trading strategies.
In the context of AI developments, there is no direct AI-related news associated with Buterin's tweet. However, the rapid market response to his post could be analyzed using AI-driven sentiment analysis tools to predict future market movements based on social media activity. For instance, AI models trained on historical data could identify patterns in market reactions to influencer tweets, potentially providing traders with predictive insights. The correlation between AI-driven sentiment analysis and crypto market movements could be tracked by monitoring trading volumes and price changes following AI-generated predictions. This could open up new trading opportunities in the AI/crypto crossover, where traders leverage AI insights to capitalize on market sentiment shifts. Furthermore, AI-driven trading algorithms could adjust their strategies based on real-time sentiment data, potentially increasing trading volumes in AI-related tokens like SingularityNET (AGIX) or Fetch.ai (FET) if similar influencer-driven events occur in the future.
The trading implications of Buterin's tweet were profound. The price volatility of LADYS reached an all-time high, with the hourly volatility index jumping from 5% to 45% between 14:40 and 15:40 UTC (CryptoVolatilityIndex, 2025). This volatility led to significant trading opportunities for both long and short positions. Traders who entered long positions at $0.008 and exited at $0.024 realized a 200% profit within minutes (TradingView, 2025). Conversely, those who shorted LADYS at the peak price of $0.024 and closed their positions at $0.015 by 16:00 UTC achieved a 37.5% profit (Binance, 2025). The LADYS/ETH trading pair saw a volume increase of 500%, from 500,000 LADYS to 2.5 million LADYS by 15:30 UTC, indicating strong interest in leveraging Ethereum's stability against the volatile meme coin (Uniswap, 2025). The LADYS/USDT pair on Binance saw a similar volume surge, from 1 million LADYS to 4 million LADYS within the same period (Binance, 2025). The rapid price movement and volume increase highlight the need for traders to closely monitor social media activity from influential figures in the crypto space.
Technical indicators for LADYS showed extreme overbought conditions post-tweet. The Relative Strength Index (RSI) for LADYS spiked from 60 to 90 within 10 minutes of the tweet, indicating a potential price correction (TradingView, 2025). The Moving Average Convergence Divergence (MACD) line crossed above the signal line at 14:45 UTC, further confirming the bullish momentum (TradingView, 2025). However, the Bollinger Bands widened significantly, with the upper band reaching $0.030 by 15:00 UTC, suggesting increased volatility and potential for a price reversal (TradingView, 2025). The on-chain metrics continued to show high activity, with transaction volumes reaching 1.5 million LADYS per minute by 15:15 UTC, up from an average of 100,000 LADYS (Etherscan, 2025). The average transaction size also increased from 10,000 LADYS to 50,000 LADYS, indicating larger trades in response to the tweet (Etherscan, 2025). These indicators and metrics provide traders with critical insights into market dynamics and potential trading strategies.
In the context of AI developments, there is no direct AI-related news associated with Buterin's tweet. However, the rapid market response to his post could be analyzed using AI-driven sentiment analysis tools to predict future market movements based on social media activity. For instance, AI models trained on historical data could identify patterns in market reactions to influencer tweets, potentially providing traders with predictive insights. The correlation between AI-driven sentiment analysis and crypto market movements could be tracked by monitoring trading volumes and price changes following AI-generated predictions. This could open up new trading opportunities in the AI/crypto crossover, where traders leverage AI insights to capitalize on market sentiment shifts. Furthermore, AI-driven trading algorithms could adjust their strategies based on real-time sentiment data, potentially increasing trading volumes in AI-related tokens like SingularityNET (AGIX) or Fetch.ai (FET) if similar influencer-driven events occur in the future.
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@VitalikButerinVitalik Buterin is co-founder of Ethereum