Woozy is an active Solana day-trader with a high-volume, diversified approach. Over the last 30 days, this wallet executed 1547 trades across 183 unique tokens, which points to broad market scanning rather than concentrated conviction bets. The average holding time was 81242 seconds, so positions were generally short-lived and managed tactically. With labels that fit day-trader, high-volume, and diversified, this wallet looks built around frequent rotation, quick reactions, and spreading risk across many names instead of relying on a small set of large positions.
Recent performance was solid on the provided numbers. Woozy posted 9968.97 in PnL with a 21.46 percent ROI during the last 30 days. Total buy volume came in at 46456.29, while total sell volume reached 47945.35. The win rate was 49.73 percent, which is close to half of all trades, so profitability did not depend on being right most of the time. Instead, the results suggest a style where overall trade management and scaling across many opportunities mattered more than pure hit rate. The combination of 1547 trades and 183 tokens also shows this wallet stayed consistently active rather than generating returns from just a few isolated moves.
The strongest named outcome was ACAT, which generated 1786.53 in PnL across 26 trades. Other notable contributors included Computer at 1215.93 over 85 trades, .agent at 1126.60 over 93 trades, COCKROACH at 1016.45 over 12 trades, parafactual at 850.25 over 24 trades, and SLOPCORE at 848.86 over 51 trades. BAGSPAY added 705.49, while GIFT contributed 654.61. On the downside, the weakest token was POINTFARMC at -663.3 across 7 trades. That spread between best and worst names shows gains were distributed across several tokens rather than hinging on one single outlier.
This wallet is best suited for copy traders who want exposure to an active, short-horizon operator that rotates quickly and touches many symbols. Woozy may fit traders who are comfortable with frequent entries and exits, a win rate below 50 percent, and a broad basket approach. It is less aligned with users looking for low-turnover, long-hold behavior or highly concentrated bets.