- Data used: latest 10,000 public fills from Aug 4, 2025 to Aug 7, 2025; older public fills may exist outside this audit because the source hit its cap.
- The account is -$580,921 across three closed trades in a three-day window, with a sample is too small to support any behavioural conclusions.
- One winning BTC short ($622,981) was offset by two large losing shorts in XRP and SOL ($737,652 and $466,251 respectively).
@qwatio - 0x916ea2a9f3ba1ddd006c52babd0216e2ac54ed32
@qwatio wallet audit
@qwatio audit. -$580,921 realised trading PnL across 3 closed position cycles, using the latest 10,000 public fills from Aug 4, 2025 to Aug 7, 2025; 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 -$580,921 minus closed trading PnL -$580,921 = starting estimate $580,921). 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
- 3 closed, 4 open
- Limit
- latest 10,000 fills only
- The single profitable trade (BTC) was held longer and had a defined stop; the two losses were closed within hours of opening.
- Two of three trades resulted in losses totalling $1.2m gross, overwhelming the single win.
- Sample is too small to identify whether these outcomes reflect execution, sizing, or directional bias rather than variance in a three-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 account is -$580,921 across three closed trades in a three-day window, with a sample is too small to support any behavioural conclusions. One winning BTC short ($622,981) was offset by two large losing shorts in XRP and SOL ($737,652 and $466,251 respectively). Fees consumed $104,807 of gross volume. The account is currently flat with no open positions.
What the data shows
The data covered spans 3 August 2025 to 7 August 2025 and contains exactly three closed episodes across three instruments. Two trades opened and closed on 4 August—a short XRP position of $23.3m notional held 12.95 hours, and a short SOL position of $29.8m notional held 13 hours. Both resulted in losses. The third trade, a BTC short opened on 4 August at $113,457.40 and closed on 7 August at $115,320.86, generated the only win: $622,981 on a $150.5m notional position held 81.76 hours with a 3% structural stop in place.
Gross realised PnL across the three trades is -$1,829,533.78 before fees. Fees paid total $104,806.93 against $365.6m in gross volume, representing a net fee drag of 2.87 basis points. The two losses account for $1.2m of the gross loss; the single win partially offset that damage but left the account underwater by $580,921 after fees.
The account opened with high notional exposure across all three trades—the XRP and SOL shorts were each sized above $23m and $29m respectively, while the BTC short reached $150m. All three trades were closed within the same three-day window. No open positions remain.
Trade quality
Win rate is 33.33% (1 win, 2 losses). Profit factor is undefined because realised PnL is negative; gross losses exceed gross wins. Expectancy per closed trade is -$193,177.79. The single win was larger in absolute terms than either loss, but two losses in three trades is not a sustainable pattern. Sample is too small to draw any inference about edge, consistency, or execution quality.
Post-mortems
XRP short, 4 August, closed 4 August, 12.95 hours: Opened and closed on the same day at $3.03 exit price. Position reached $23.3m notional. Loss: -$737,651.88. No entry price, MAE, or MFE data are available.
SOL short, 4 August, closed 4 August, 13 hours: Opened and closed on the same day at $165.06 exit price. Position reached $29.8m notional. Loss: -$466,250.78. No entry price, MAE, or MFE data are available.
BTC short, 4 August, closed 7 August, 81.76 hours: Entered at $113,457.40, exited at $115,320.86. Position reached $150.5m notional. Win: +$622,981.48. A 3% structural stop was in place. This was the only profitable trade and the only one held beyond a single day.
Honest summary
- The single profitable trade (BTC) was held longer and had a defined stop; the two losses were closed within hours of opening.
- Two of three trades resulted in losses totalling $1.2m gross, overwhelming the single win.
- Sample is too small to identify whether these outcomes reflect execution, sizing, or directional bias rather than variance in a three-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.
- -0.1%
- 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.
- -0.1%
- 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.
- -0.2%
- 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.