4D2w…auAK traded like a focused position trader over the last 30 days, with activity concentrated in just 8 tokens across 94 trades. The average holding time was 2,038,498 seconds, which points to slower rotation rather than rapid in-and-out scalping. Capital deployment was moderate relative to breadth, with total buys of 47,427.17 dollars and total sells of 42,462.12 dollars. The profile suggests this wallet prefers repeating exposure in a small set of names instead of spreading risk across a wide token list.
Recent performance was negative overall. This wallet posted -1,982.32 dollars in PnL with a -4.18 percent ROI during the window. The win rate came in at 37.5 percent, so fewer than half of trades finished profitably. That said, the low token count and repeated trading in the same assets means results were driven more by sizing and persistence in a few positions than by broad experimentation. The gap between total buys and total sells also fits a style that may still leave some positions working over longer holding periods rather than fully closing everything quickly.
The biggest positive contributor was GTA6 at 3,629.86 dollars across 8 trades. Agency also added 961.79 dollars over 39 trades, showing that one of the most frequently traded names was at least modestly productive. Smaller gains came from DD5b… at 311.93 dollars. On the loss side, BUTTHOLE dominated results with -5,635.2 dollars across 36 trades and was clearly the main drag on the wallet’s month. Other losses were comparatively small: 9fJA… at -593.28 dollars, Cbcy… at -258.91 dollars, 74sH… at -236.03 dollars, and Hraq… at -162.5 dollars.
This wallet is more relevant for traders who want to follow a concentrated, conviction-based approach with longer holding periods and repeated trading in a limited set of tokens. It is less suited to anyone looking for high win rates, broad diversification, or very fast momentum rotation. The recent record shows that a few strong calls can be outweighed by one large drawdown, so anyone tracking this wallet would likely need tolerance for uneven results and single-token concentration risk.
