Terp traded like a focused, high-volume position trader over the last 30 days. This wallet made 318 trades across 8 unique tokens, showing a concentrated approach rather than broad exploration. Average holding time was 3,768,272 seconds, which points to positions being held materially longer than a fast intraday meme rotation style. The 50% win rate suggests outcomes were evenly split, so overall results depended more on position sizing and how far wins ran versus how deep losses went. Activity was substantial, with $7,596.2 in total buys and $6,819.36 in total sells.
Recent performance was slightly negative. Over the last 30 days, Terp posted -$248.91 in PnL, equal to -3.28% ROI. That result is fairly modest relative to the trading volume, which implies this wallet stayed active but did not produce strong net edge during the period. A 50% win rate across 318 trades can be workable when gains are larger than losses, but here the overall return shows that losing positions and weaker exits offset several good winners. With only 8 tokens traded, the wallet’s short-term performance was driven by a small set of names rather than broad diversification.
The biggest positive contributor was Eknk… at +$1,224.74 on 19 trades. Other strong contributors included CpqR… at +$794.39 on 38 trades, 34BT… at +$704.87 on 9 trades, and Cnm8… at +$581.65 on 29 trades. The largest drag was EAeH… at -$1,713.42 across 97 trades, which stands out both for size of loss and trade count. Additional losses came from H78W… at -$677.98 on 86 trades, 2vBS… at -$602.19 on 12 trades, and 39hp… at -$560.96 on 28 trades. The profile shows clear winners, but also repeated exposure to several losing positions.
This wallet may fit traders who want to follow a concentrated Solana operator with meaningful activity and a willingness to hold positions longer than pure scalpers. Terp looks more suitable for copiers comfortable with uneven token-level outcomes, where a few names can dominate returns in either direction. It may be less suitable for traders seeking broad token coverage or very tight loss control, since recent results show that large losers can outweigh multiple solid wins.
