zoru looks like a focused Solana position trader rather than a high-frequency scalper. Over the last 30 days, this wallet traded 8 unique tokens across 70 trades, with labels pointing to a concentrated and selective approach. The average holding time was 10,390,470 seconds, which supports a longer-duration style relative to fast in-and-out meme rotation. Activity appears centered in a small set of names, suggesting conviction sizing and repeated execution in the same positions instead of broad diversification.
Recent results were negative. In the last 30 days, zoru posted -$3,900.22 in PnL with ROI of -14.45%. Total buys reached $26,996.11 against total sells of $23,095.89. The wallet’s win rate was 25%, so only a minority of trades closed profitably. That combination usually points to a strategy that depends on a few larger winners to offset several losing positions. In this period, those winners were not enough to overcome the drawdowns, even with one strong positive token contributing meaningfully.
The clearest contrast came from bp and SS. The best token was bp at +$3,904.22 over 18 trades, showing zoru can extract sizable gains when positioned correctly and willing to revisit a winner multiple times. The worst token was SS at -$4,232.11 over 22 trades, making it the biggest drag on total performance and also the most traded name. Other notable losses came from 3mRS… at -$2,007.08, 8piB… at -$831.05, A8YF… at -$417.30, 5QTu… at -$305.07, and BREw… at -$241.21. Only zDhC… joined bp on the positive side, with +$229.38.
This wallet is better suited to copiers who are comfortable with concentration, lower hit rates, and the possibility that a few positions will determine overall results. zoru’s profile fits traders looking to follow a conviction-based, position-oriented wallet with repeated exposure to a limited token set. It is less suited for anyone seeking steady win rates, broad diversification, or smoother short-term performance, given the recent negative ROI and reliance on standout winners to balance larger losses.