shah appears to trade as a position-focused wallet rather than a pure scalper. Over the last 30 days, this wallet made 85 trades across 35 unique tokens, with an average holding time of 1245681 seconds. Activity is spread across many names, which suggests broad rotation instead of heavy concentration in just a few bets. The profile is active, but the holding period points to a trader willing to sit in positions beyond intraday moves. With a 30% win rate, results look dependent on occasional stronger exits rather than consistent hit frequency.
Recent performance in the last 30 days was negative overall. shah posted -387.14 USD in PnL with -9.51% ROI. Total buy volume reached 4071.32 USD, while total sell volume was 2008.45 USD. That gap implies a meaningful amount of capital remained tied up or exited below cost during the period. The combination of 85 trades and a negative return shows that activity alone did not translate into edge. The wallet did continue rotating through new opportunities, but the realized result over this window was weak.
The most notable gain came from FFS, which returned 49.02 USD across 3 trades. Other positive contributions were smaller, including laughdog at 18.61 USD over 2 trades. Losses were more decisive. Blowquito was the biggest drag at -235.34 USD across 9 trades, making it the clearest example of size or repeated exposure hurting results. imagine also stood out at -120.86 USD over 2 trades, while CT lost -49.47 USD across 8 trades. Smaller setbacks came from 지누 at -24.81 USD, Allah at -15.46 USD, and ムー at -12.20 USD. Overall, the downside names outweighed the upside winners by a wide margin.
This wallet may fit observers who want exposure to a high-activity position trader with broad token coverage and a willingness to hold through longer swings. It is less suitable for someone looking for a high win-rate operator or tightly controlled recent downside. shah’s recent record shows dispersed trading, moderate holding periods, and losses driven by several weak token selections rather than one isolated mistake. Copying interest would likely come from traders comfortable with uneven outcomes and frequent multi-token rotation.