Terp’s last 30 days show a focused, high-volume swing-trading approach on Solana. This wallet traded 315 times across just 2 tokens, which suggests strong concentration rather than broad diversification. The average holding time was 193270 seconds, pointing to positions that were held beyond quick scalps but still managed actively. With only 2 unique tokens traded and activity split across repeated entries and exits, this wallet appears to lean into conviction-based rotation within a very narrow set of names.
Recent performance was negative across the full window. Terp posted -1792.05 USD in PnL with an ROI of -24.06 percent. Total buys came to 7448.09 USD, while total sells reached 5473.81 USD. The wallet’s win rate is listed at 0 percent, which aligns with the fact that both tracked tokens ended the period in the red. The trade count of 315 is high relative to the number of tokens involved, so the recent record reflects frequent execution without any profitable token outcome over this span.
The largest loss came from 98kf…, which recorded -1164.46 USD across 101 trades. The other token, GfyV…, lost -627.58 USD across 214 trades. Since GfyV… was traded more than twice as often as 98kf…, Terp showed heavier persistence in that position, but it still finished negative. The losses were therefore not driven by one isolated mistake alone; both active positions contributed materially to the overall drawdown. This gives the wallet a clear profile: concentrated exposure, repeated trade management, and unfavorable realized results during the last 30 days.
This wallet is better suited to traders who specifically want to follow a concentrated swing-trading style rather than broad token coverage. Someone considering Terp would need to be comfortable with high trade frequency, repeated re-entry behavior, and exposure concentrated in very few names. It may be most relevant for observers studying how a focused Solana trader manages positions over time, rather than those looking for a diversified wallet with recent positive results.