Scrim is a focused Solana trader with clear day-trader behavior in the last 30 days. This wallet traded only 2 tokens across 7 total trades, which points to concentration rather than broad market scanning. The average holding time was 8,950 seconds, so positions were generally short-lived and managed on an intraday basis instead of being held as swing trades. Based on this sample, Scrim appears to rotate quickly in and out of a very small set of names rather than spreading risk across many assets.
Recent performance was negative across the board. Over the last 30 days, this wallet posted -$185.35 in PnL with a -38.29% ROI. Total buy volume was $484.06 versus total sell volume of $298.71, showing realized outcomes well below deployed capital during the period. Scrim made 7 trades and recorded a 0% win rate, so none of the tracked trades closed profitably in this window. With only 2 unique tokens traded, the weak result was not caused by overtrading across many positions but by losses concentrated in a narrow trading set.
The notable point is that losses were fairly evenly split between the two tokens traded. The best token was Azh3… at -$91.03, which still finished negative. The worst token was 2xaW… at -$94.32. By trade count, 2xaW… accounted for 4 trades and Azh3… for 3 trades, so Scrim stayed active in both despite the poor outcomes. There were no standout wins in this dataset, and the absence of any profitable closes makes this a clean example of a difficult month rather than a mixed record with one large miss.
This wallet would mainly suit traders who specifically want to track a concentrated, high-conviction day-trading style and who are comfortable reviewing each entry manually. It is less relevant for anyone looking for diversification, steady hit rate, or evidence of recent momentum. Given the 0% win rate, negative ROI, and losses on both traded tokens, copy-focused users would likely treat Scrim more as a wallet to monitor for timing and token selection patterns than as a model of consistent recent execution.