- Data used: latest 10,000 public fills from May 26, 2025 to May 30, 2025; older public fills may exist outside this audit because the source hit its cap.
- The sample is too small to support behavioural conclusions: one closed ARB long trade resulted in a $1.59M loss on a $14.4M notional position held 34 hours, entered at 0.44 and exited at 0.37.
- Five open positions remain.
0xc1d0d326ba4adf5a56d4e1029fc7a3b988e865a7
0xc1d0...65a7 wallet audit
0xc1d0...65a7 audit. -$1,588,077 realised trading PnL across 1 closed position cycles, using the latest 10,000 public fills from May 26, 2025 to May 30, 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 -$1,588,077 minus closed trading PnL -$1,588,077 = starting estimate $1,588,077). 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
- 1 closed, 5 open
- Limit
- latest 10,000 fills only
- The sample is too small to draw conclusions about edge, consistency, or risk management. One trade is insufficient to characterise account behaviour.
- The single closed trade shows a large notional position (14.4M) that moved sharply against entry within a short hold period, with exit occurring well below the structural stop level.
- Data scope is limited to the most recent 10,000 fills; earlier account history is not visible.
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 to support behavioural conclusions: one closed ARB long trade resulted in a $1.59M loss on a $14.4M notional position held 34 hours, entered at 0.44 and exited at 0.37. Five open positions remain. Fees consumed $7,284 of realised PnL. The account is loss-making in the data covered.
What the data shows
The data covered spans four days from 26 May to 30 May 2025. One closed episode exists: an ARB long opened on 29 May at 0.44 and closed on 30 May at 0.37, a 16% decline over 34 hours. The position reached $14.4M notional at its highest balance in this window size. Exit occurred at 0.37, realising a $1.59M loss. Gross trading volume across all fills totalled $19M; the closed trade accounted for $11.4M of that. Five open positions remain on the books with zero unrealised PnL shown, suggesting either flat positions or data lag.
Fees paid totalled $7,284.46 against $11.4M in closed trade volume, a fee rate of approximately 6.4 basis points on closed notional. Net realised PnL after fees stands at -$1.59M. The single closed trade carries a structural stop at 4% distance from entry, a default instrument setting that did not trigger during the 16% move.
Trade quality
Win rate is 0%, with one closed episode and zero wins. Profit factor is undefined—no winning trades exist to offset the single loss. The closed trade shows no edge: entry at 0.44, exit at 0.37, loss of $1.59M on $14.4M notional. The sample is too small to extract meaningful trade quality metrics or to assess consistency.
Post-mortems
ARB long, 29 May 2025 at 0.44 to 30 May 2025 at 0.37. Position size reached $14.4M notional. Loss realised: $1.59M. Duration: 34 hours. The structural stop was set 4% below entry but the price moved 16% lower before exit. No other closed trades exist in the data covered.
Open positions
Five open positions remain. No details on coin, side, notional, or stop placement are provided in the evidence pack. The account shows zero unrealised PnL across all open exposure.
Honest summary
- The sample is too small to draw conclusions about edge, consistency, or risk management. One trade is insufficient to characterise account behaviour.
- The single closed trade shows a large notional position (14.4M) that moved sharply against entry within a short hold period, with exit occurring well below the structural stop level.
- Data scope is limited to the most recent 10,000 fills; earlier account history is not visible.
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.
- -2.6%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 1
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -5.1%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 1
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -10.2%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 1
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.