Crypto Whale Invests in $PNUT, $ai16z, and $arc with Significant Losses
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According to Ai 姨 on Twitter, a significant crypto whale has invested $13.64 million over the past three months in $PNUT, $ai16z, and recently began accumulating $arc. The whale currently faces an unrealized loss totaling $6.601 million across these three memecoins. The whale holds 21.46 million $PNUT at an average cost of $0.3743, resulting in a $4.82 million loss. Additionally, they hold 7.53 million $ai16z at an average cost of $0.7446, facing a $1.88 million loss. They have also started acquiring $arc, although specific details on this position were not fully disclosed.
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On February 12, 2025, a significant market event was reported by Ai 姨 (@ai_9684xtpa) on Twitter, detailing a whale's investment strategy involving three meme coins: $PNUT, $ai16z, and $arc. Over the past three months, the whale spent a total of $13.64 million to build positions in $PNUT and $ai16z. As of the latest update, the whale has begun accumulating $arc. The total unrealized loss across these three meme coins stands at $6.601 million. Specifically, the whale holds 21.46 million $PNUT at a cost of $0.3743 per token, resulting in an unrealized loss of $4.82 million. For $ai16z, the whale possesses 7.53 million tokens at a cost of $0.7446 per token, leading to an unrealized loss of $1.88 million. The whale's position in $arc includes 9.52 million tokens, with the cost per token undisclosed as of the latest report (Ai 姨, 2025, February 12).
The trading implications of this whale's actions are multifaceted. The whale's entry into $arc at 10:30 AM UTC on February 12, 2025, led to a 5% increase in $arc's price within the first hour, from $0.20 to $0.21, with a trading volume surge of 150% to 2.3 million $arc tokens traded (CoinGecko, 2025, February 12). This indicates strong market interest following the whale's move. For $PNUT and $ai16z, the continued holding despite significant unrealized losses suggests a long-term investment strategy or belief in potential recovery. The trading volume for $PNUT on February 12, 2025, was 1.8 million tokens, down 10% from the previous day, while $ai16z saw a volume of 0.9 million tokens, a decrease of 5% (CoinMarketCap, 2025, February 12). These volume changes reflect a cautious market sentiment towards these tokens.
Technical indicators for $arc show a bullish trend following the whale's investment. The Relative Strength Index (RSI) for $arc increased from 45 to 60 within two hours of the whale's entry, indicating growing momentum (TradingView, 2025, February 12). The Moving Average Convergence Divergence (MACD) also showed a bullish crossover, with the MACD line crossing above the signal line at 11:00 AM UTC (TradingView, 2025, February 12). On-chain metrics for $arc reveal a significant increase in active addresses, up by 30% to 1,200 addresses within the first hour of the whale's entry (CryptoQuant, 2025, February 12). For $PNUT and $ai16z, the on-chain data shows a steady decline in active addresses over the past week, with $PNUT down by 15% to 800 addresses and $ai16z down by 10% to 600 addresses (CryptoQuant, 2025, February 12). This suggests a shift in market focus towards $arc.
Regarding AI-related developments, there have been no direct announcements or news impacting $ai16z specifically. However, the broader AI sector has seen a positive sentiment due to recent advancements in machine learning algorithms, which could indirectly influence AI-related tokens like $ai16z. The correlation between AI developments and major crypto assets remains strong, with a 0.75 Pearson correlation coefficient between AI sector performance and Bitcoin's price over the past month (CryptoCompare, 2025, February 12). This correlation suggests potential trading opportunities in AI/crypto crossovers, particularly in tokens like $ai16z that are closely tied to AI advancements. Monitoring AI-driven trading volume changes, we observe a 20% increase in trading volume for AI-related tokens over the past week, indicating heightened interest and potential for further growth (CoinGecko, 2025, February 12).
The trading implications of this whale's actions are multifaceted. The whale's entry into $arc at 10:30 AM UTC on February 12, 2025, led to a 5% increase in $arc's price within the first hour, from $0.20 to $0.21, with a trading volume surge of 150% to 2.3 million $arc tokens traded (CoinGecko, 2025, February 12). This indicates strong market interest following the whale's move. For $PNUT and $ai16z, the continued holding despite significant unrealized losses suggests a long-term investment strategy or belief in potential recovery. The trading volume for $PNUT on February 12, 2025, was 1.8 million tokens, down 10% from the previous day, while $ai16z saw a volume of 0.9 million tokens, a decrease of 5% (CoinMarketCap, 2025, February 12). These volume changes reflect a cautious market sentiment towards these tokens.
Technical indicators for $arc show a bullish trend following the whale's investment. The Relative Strength Index (RSI) for $arc increased from 45 to 60 within two hours of the whale's entry, indicating growing momentum (TradingView, 2025, February 12). The Moving Average Convergence Divergence (MACD) also showed a bullish crossover, with the MACD line crossing above the signal line at 11:00 AM UTC (TradingView, 2025, February 12). On-chain metrics for $arc reveal a significant increase in active addresses, up by 30% to 1,200 addresses within the first hour of the whale's entry (CryptoQuant, 2025, February 12). For $PNUT and $ai16z, the on-chain data shows a steady decline in active addresses over the past week, with $PNUT down by 15% to 800 addresses and $ai16z down by 10% to 600 addresses (CryptoQuant, 2025, February 12). This suggests a shift in market focus towards $arc.
Regarding AI-related developments, there have been no direct announcements or news impacting $ai16z specifically. However, the broader AI sector has seen a positive sentiment due to recent advancements in machine learning algorithms, which could indirectly influence AI-related tokens like $ai16z. The correlation between AI developments and major crypto assets remains strong, with a 0.75 Pearson correlation coefficient between AI sector performance and Bitcoin's price over the past month (CryptoCompare, 2025, February 12). This correlation suggests potential trading opportunities in AI/crypto crossovers, particularly in tokens like $ai16z that are closely tied to AI advancements. Monitoring AI-driven trading volume changes, we observe a 20% increase in trading volume for AI-related tokens over the past week, indicating heightened interest and potential for further growth (CoinGecko, 2025, February 12).
Ai 姨
@ai_9684xtpaAi 姨 is a Web3 content creator blending crypto insights with anime references