- Data used: latest 10,000 public fills from Apr 30, 2026 to May 7, 2026; older public fills may exist outside this audit because the source hit its cap.
- The sample is too small—five closed episodes across six days of activity—to support conclusions about trader psychology, discipline, or repeatable edge.
- The account shows +35.47% in the data covered, with all five closed trades profitable.
0x049bdc370620beab340b01072fa580fd57745e7d
0x049b...5e7d wallet audit
0x049b...5e7d audit. $1,702,390 realised trading PnL across 5 closed position cycles, using the latest 10,000 public fills from Apr 30, 2026 to May 7, 2026; older public fills may exist outside this audit.
The dollar PnL is the realised result from closed trades in the data covered. The percentage uses an inferred starting value (current account value $6,502,226 minus closed trading PnL $1,702,390 = starting estimate $4,799,836). This audit does not ingest a deposit or withdrawal ledger, so it can show that trades lost money, but it cannot prove whether the owner also moved funds in or out. Older fills may also exist outside the latest 10,000-fill window.
This is not a fixed last-week or last-month period. It is the actual span covered by the latest 10,000 public fills Hyperliquid exposed for this wallet. Because the public fill source hit its cap, older trades may exist but are not included here.
- Public fills
- 10,000
- Position cycles
- 5 closed, 1 open
- Limit
- latest 10,000 fills only
- All five closed trades were profitable, with both BTC and ETH longs executing at scale during a rising market window.
- Fees of $49,358 were material relative to the account size at inception, though modest relative to gross PnL.
- The sample is too small to distinguish between edge, timing, and leverage applied to a favourable directional move in a six-day window.
Bottom line up front
Only the most recent public fills are visible, so this audit covers the data covered rather than full account history. The sample is too small—five closed episodes across six days of activity—to support conclusions about trader psychology, discipline, or repeatable edge. The account shows +35.47% in the data covered, with all five closed trades profitable. Both BTC and ETH longs executed cleanly; fees consumed $49,358 of gross realised PnL of $1,766,044, leaving net PnL of $1,702,390. The brevity and perfection of the sample warrant caution.
What the data shows
The account opened on 30 April 2026 and closed its final position on 7 May 2026. Five trades closed; one remains open. ETH generated $886,175 in realised PnL across three episodes (100% win rate on closed ETH trades); BTC generated $816,214 across two episodes (100% win rate on closed BTC trades). The two largest closed wins were a BTC long opened 4 May, closed 7 May at $79,975.95 for $493,039, and an ETH long opened 4 May, closed 7 May at $2,297.87 for $478,982. Both trades held maximum notional positions exceeding $39 million. No short positions appear in the closed record. No losing trades appear in the data covered.
Gross volume traded was $206.3 million; fees paid totalled $49,358, representing a net fee drag of 2.8% of gross realised PnL. The account began with approximately $4.8 million in starting capital (implied from current balance of $6.5 million and realised PnL of $1.7 million) and deployed leverage aggressively into directional longs during a favourable price window.
Trade quality
Win rate is 100% across five closed episodes. Profit factor is infinite—no losses recorded in the data covered. Expectancy cannot be meaningfully calculated from a five-trade sample. The absence of any losing trade, combined with the short time horizon and large position sizes, means the sample is too small to assess consistency or risk management under adverse conditions.
Open positions
One position remains open. No details on entry price, current mark, or stop placement are provided in the evidence pack.
Honest summary
- All five closed trades were profitable, with both BTC and ETH longs executing at scale during a rising market window.
- Fees of $49,358 were material relative to the account size at inception, though modest relative to gross PnL.
- The sample is too small to distinguish between edge, timing, and leverage applied to a favourable directional move in a six-day window.
Behaviour checksRule-based warnings found in the trading history. They are not moral judgements; they mark patterns worth reviewing.
Rule-based position-cycle checksNo matching position cycles in the data covered.
No matching position cycles in the data covered.
No matching position cycles in the data covered.
No matching position cycles in the data covered.
Expectancy is not a forecast. It is the historical average result per closed position cycle in this reconstructed sample.
Risk simulatorA counterfactual replay of the same historical trades using fixed risk limits. It is for comparing risk shape, not predicting future returns.
Replays the same closed position cycles with 1%, 2%, and 4% account-risk sizing. It shows what the wallet would have made or lost if each eligible cycle was sized from account value at entry and a structural stop.
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- 0.0%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 0
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- 0.0%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 0
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- 0.0%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 0
The 1%, 2%, and 4% rules are account-risk limits per position cycle, not leverage settings. If the simulated stop is breached, the cycle is stopped early. Outputs are gross of fees and funding, so use them as risk-shape comparisons rather than exact alternate realised trading PnL.