2MsW…rFcB traded like a high-volume position trader over the last 30 days, with 604 trades across 14 tokens. Activity was concentrated rather than broad, suggesting repeated sizing in a limited set of names instead of constant rotation into new ones. The average holding time was 6,496,111 seconds, which fits a slower style than pure scalping even though the trade count was high. This wallet appears to combine heavy execution with multi-day conviction, but the recent results show that this approach did not translate into efficient exits.
Performance for the last 30 days was negative on both absolute and percentage terms. This wallet posted -$366,409.33 in PnL on $2,038,449.56 of total buys and $823,976.23 of total sells, for an ROI of -17.97%. The win rate was 14.29%, which is low for a trader running this much volume and helps explain the drawdown. Trade distribution also looks uneven: ANSEM alone accounted for 370 trades, far more than any other token, which points to heavy concentration in one repeated setup. That level of focus can amplify both conviction and risk when the read is wrong.
The biggest loss came from Jimothy at -$119,167.45 across 51 trades. Other major drags were HeeHaw at -$59,523.12, ANSEM at -$59,000.44, PAID at -$53,177.80, swordcat at -$34,755.99, and MCAT at -$28,090.38. Smaller losses came from SENTS at -$11,150.22 and CAKE at -$8,830.74. On the positive side, the best token was Pepper with $7,911.70, while STONK added $6,136.42. The gap between the largest loss and largest gain is notable and shows that recent winners were not large enough to offset persistent downside in the main positions.
This wallet is most relevant for traders who specifically want exposure to a concentrated, high-activity position style and are comfortable with low hit rates, large drawdowns, and repeated entries in the same token. It may appeal more to observers studying conviction trading under pressure than to copiers seeking stable recent execution. Based on the last 30 days alone, this wallet fits traders who can tolerate substantial variance and want to monitor whether concentration improves before following closely.