This wallet shows a high-activity swing trading profile over the last 30 days, with 1349 trades across 69 unique tokens. Activity is broad rather than concentrated, matching the diversified label, and the average holding time of 149044 seconds suggests positions are typically held for more than quick in-and-out scalps. Turnover is heavy, with 113960.57 in total buys and 81768.59 in total sells, indicating frequent rotation through many names. The overall style looks systematic in volume but selective outcomes have mattered more than raw trade count.
Performance for the period was slightly negative overall, with -1612.23 in PnL and -1.41% ROI. The win rate was 18.84%, which is low relative to the number of trades and implies this wallet relies on a smaller set of outsized gains to offset many losing positions. That pattern is visible in the token-level results: some names posted meaningful profits, but losses across several other assets pulled aggregate returns below zero. In practical terms, this has been an active but uneven month, where scale and diversification did not fully overcome weak hit rate.
The clearest positive contributor was DOPE, generating 19385.26 across 57 trades, making it the strongest win by a wide margin. Other profitable names included AUTON at 2307.383644 over 33 trades, FACTORY at 1296.278366682453 over 62 trades, and OWL at 795.825408927011 over 30 trades. On the downside, the largest loss came from SI at -8795.8 across 99 trades, followed by biketyson at -4199.5278855736 over 47 trades. Additional drags included ETH at -1373.162356966013, CASINU at -1107.436194687699, GOMO at -998.539461711336, QUEEF at -922.407990642736, MCAT at -872.682153360214, and 2ogu… at -548.486069808155.
This wallet may appeal most to traders looking to mirror a high-volume, diversified swing approach rather than a concentrated conviction strategy. It fits someone comfortable with frequent trades, broad token exposure, and a low win-rate profile where results depend heavily on catching a few large winners like DOPE. It may be less suitable for copiers who prefer steadier consistency, tighter token focus, or cleaner recent execution across the full book.