According to Ai 姨 (@ai_9684xtpa), a major whale in the $PAIN presale has not sold any tokens despite the market cap dropping from $257 million to $150 million, maintaining an unrealized profit of $2.39 million. The whale initially invested 20,000 $SOL, which was reduced to an actual investment of 4,000 $SOL (approximately $860,000) after a refund. Recently, they received 215,327 $PAIN tokens and transferred 30,145 tokens to two new addresses without selling any, making it the top individual holding address.

According to Lookonchain, a trader created a new wallet and withdrew 20,000 $SOL ($4.3M) from Binance to participate in the $PAIN presale. The trader received 215,328 $PAIN worth $3.85M and a refund of 16,000 $SOL valued at $2.75M. This transaction has resulted in an unrealized profit of $2.3M from the presale, indicating a significant trading gain from the investment strategy.

According to @ai_9684xtpa, a trader known for earning over $17.3 million from $TRUMP, $MELANIA, and $LIBRA has made an additional $145,000 from the $PAIN presale. Over the past seven days, this address has accumulated profits of $23.6 million. Two weeks ago, the trader invested 2000 SOL into the presale (with a net investment of 400 SOL after refunds) and sold 21,533 PAIN tokens at an average price of $10.77, exiting the position.

According to Lookonchain, a crypto trader lost 2,540 SOL, equivalent to $436,000, during a sniping attempt involving the token $PAIN. The trader initially spent 15,000 SOL, valued at $2.58 million, to acquire 107,212 $PAIN tokens. However, after paying a fee of 2,501 SOL ($430,000) and selling the $PAIN tokens for 14,961 SOL ($2.57 million), the trader ended up with a net loss. This case highlights the potential financial risks associated with sniping strategies in cryptocurrency trading. (Source: Lookonchain via Twitter)

According to Ai 姨 (@ai_9684xtpa), the $PAIN token seems set for launch as the presale fundraising address, paintoken.sol, transferred 37,195 SOL to a new address, painvault.sol, indicating preparation for deployment.