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.

According to Lookonchain, a crypto whale who previously made an $11.8 million profit on $TRUMP has reinvested $33.9 million to purchase 766,083 $TRUMP at $44.25 each. This decision resulted in an $11 million loss, nearly wiping out all prior profits. This highlights the volatile nature of cryptocurrency trading and the risks involved in reinvesting profits without careful market analysis.

According to The Data Nerd, a cryptocurrency whale experienced a significant loss of $7.08 million. Despite this, the whale continues to hold 1.82 million $MELANIA tokens and 193.7k $TRUMP tokens, indicating a potential strategy to either hold for recovery or mitigate further losses. This situation reflects market volatility and provides insight into whale behavior in the crypto markets.

According to Ai 姨, a crypto whale has achieved unrealized gains of $238,000 by accumulating $Pippin with USDT.

According to Lookonchain, a cryptocurrency whale strategically invested in $WIF and $PNUT, realizing significant profits, and recently made a substantial investment in $pippins.

According to Ai 姨, a well-known crypto whale with a previous swing trading success rate of 87.5% recently experienced a significant loss. Over the past eight hours, the whale sold 10,367.76 ETH at an average price of $3181, which were initially purchased during a market dip on November 12 at a cost of $3300 each. This trade resulted in a total loss of $1.233 million. The whale's updated trading success rate is now 82.3%, with 13 wins out of 17 trades.