dyor ( revenge arc ) is an active Solana swing trader with clear high-volume and diversified behavior over the last 30 days. This wallet made 432 trades across 80 unique tokens, with total buys of 40973.97 and total sells of 35369.79. The average holding time was 496681 seconds, which points to positions being held longer than pure scalp trading but still within an active rotation style. The combination of broad token exposure and frequent trade count suggests a wallet that searches widely for opportunities rather than concentrating on a small watchlist.
Recent performance was negative. Over the last 30 days, this wallet posted -4538.61 in PnL with ROI of -11.08%. The win rate was 28.75%, which means profitable trades were the minority and losses needed to be offset by a smaller number of stronger winners. That did happen in some cases, but not enough to recover overall results. The gap between buy volume and sell volume also fits a period where exits did not fully keep pace with entries, adding to the drawdown profile across a large number of positions.
The biggest positive contribution came from Tilcayo at 629.11 across 4 trades. Other notable winners included LEVERCAT at 451.65 from 18 trades, AGI at 432.74 from 4 trades, HoK7… at 321.80 from 3 trades, and AUZr… at 287.23 from 4 trades. The largest loss was CAT at -1561.87 across 11 trades, which materially outweighed any single winner. Other meaningful drags included HONTER at -475.39 from 1 trade, MINI at -454.94 from 11 trades, Tony at -405.10 from 4 trades, moonkey at -351.37 from 5 trades, 8VsF… at -258.23 from 2 trades, and FQtq… at -254.38 from 10 trades.
This wallet is most relevant for traders who want exposure to a fast-moving, diversified swing approach and who are comfortable with frequent entries across many tokens. dyor ( revenge arc ) may appeal to copy traders looking for broad market coverage rather than concentrated conviction bets. The recent numbers fit someone evaluating flow, experimentation, and rotation activity, but they also show a low win rate and uneven token selection.