Goyim traded with a clear swing-trader profile over the last 30 days, holding positions for an average of 184741 seconds rather than flipping quickly. This wallet was active, with 110 trades across 18 unique tokens, showing broad exposure instead of concentrating on only a few names. The style looks opportunistic and rotation-heavy, but the low 22.22% win rate suggests that many entries did not work out. Based on the mix of activity and holding time, this wallet appears to lean toward catching medium-term moves while accepting frequent small or mid-sized misses.
Recent performance was weak overall. Goyim posted -6617.15 dollars in PnL with a -24.79% ROI in the last 30 days. Total buys reached 26693.06 dollars, while total sells came in at 15299.17 dollars, leaving the period notably underwater. The trade count shows strong activity, but the results indicate that volume did not translate into consistency. With only 22.22% of trades ending as winners, this wallet needed a few larger gains to offset many losing positions, and that did not happen enough during this window.
The strongest result came from 49bL…, which generated 3701.56 dollars across 47 trades. That stands out as the main bright spot and also the most repeatedly traded token in the dataset. On the downside, the biggest loss was Chud at -4864.88 dollars over 16 trades, which more than erased the gains from the best name. Other notable drags included 4NNJ… at -1186.56, 9MEY… at -1126.45, 55pP… at -779.68, 2DD7… at -729.90, and F3Tt… at -690.74. Smaller positive contributions came from 5agB… at 609.52, 3nvU… at 591.39, and 29cX… at 389.77.
This wallet may appeal more to traders who want exposure to an active swing-trading approach and are comfortable with uneven hit rates, repeated re-entry, and meaningful drawdowns. Goyim is not a fit for someone looking for stable recent execution or a high win-rate model to mirror. A copy trader considering this wallet would need to be comfortable following a broad token rotation strategy where one or two strong winners may need to carry a large number of losing trades.