Zemrics traded in a focused, swing-oriented way over the last 30 days, with activity concentrated in 8 tokens across 50 trades. The average holding time was 204860 seconds, which points to positions held beyond quick scalps and closer to multi-day swing trades. This wallet shows moderate selectivity rather than broad diversification, recycling capital through a relatively small set of names. With a 50% win rate, the profile suggests a trader willing to take repeated shots in a limited universe, where outcomes depend heavily on position sizing and whether losses stay contained.
Recent performance was negative overall. In the last 30 days, this wallet posted -3274.28 dollars in PnL and -26.14% ROI. Total buy volume came to 12524.81 dollars against 9250.54 dollars in total sells, reflecting a period where exits did not recover deployed capital. The combination of 50 trades and a 50% win rate shows that accuracy alone was not enough to offset the size of losing positions. For traders reviewing copy potential, the key takeaway is that Zemrics remained active and disciplined in terms of focus, but recent execution did not translate into profitable net results.
The biggest drag was STONK, which lost -4113.48 dollars over 11 trades and clearly shaped the month’s outcome. Other losing exposures included DA8k… at -712.69 dollars across 6 trades, Aqqi… at -123.46 dollars across 3 trades, and BMDX… at -116.66 dollars across 4 trades. On the winning side, the best single contributor was 9UxD… with 698.77 dollars over 7 trades, followed closely by 8jay… at 675.10 dollars across 5 trades. TKLS… added 266.28 dollars over 11 trades, while GW9i… contributed 151.86 dollars across 3 trades. The pattern is clear: several moderate winners were outweighed by one very large loser.
This wallet may fit traders looking to follow a concentrated swing-trading style rather than high-frequency rotation. It is more relevant for users comfortable with a focused book, uneven token-level outcomes, and the possibility that one position can dominate total performance. Zemrics may appeal to copiers who want exposure to an active trader with a defined universe of names, but who also understand that recent results show significant downside when a thesis goes wrong.