- 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 draw reliable conclusions about this account's edge or approach.
- One ARB long position opened 29 May at $0.44 and closed 30 May at $0.37 generated a $1.59M realised loss on $14.4M notional.
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
- Only one closed trade is available; sample is too small to assess consistency, edge, or decision-making patterns.
- The single loss was large relative to account size, consuming the entire balance in the data covered.
- Five open positions remain; their status and risk profile cannot be evaluated from the provided data.
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 draw reliable conclusions about this account's edge or approach. One ARB long position opened 29 May at $0.44 and closed 30 May at $0.37 generated a $1.59M realised loss on $14.4M notional. The account is down 100% in the data covered after $7.3K in fees. With only one closed episode across four days of activity, the sample is too small to isolate whether this was execution error, leverage miscalibration, or a genuine directional miss.
What the data shows
The data covered spans four days from 26 May to 30 May 2025. One closed trade dominates the record: a long ARB position held for 34 hours, entered at $0.44 and exited at $0.37, resulting in a loss of $1.59M on a highest balance in this window notional of $14.4M. The position carried a structural stop 4% below entry, which was not triggered during the hold. Fees of $7.3K were paid on $19M in gross volume, representing a net fee drag of $7.3K against the realised loss. Five open positions remain on the books, though their notional and direction are not specified in the available data.
The single closed trade moved against the entry within the 34-hour window. No winning trades are recorded in the data covered. The account opened with sufficient capital to support the $14.4M notional position, but the loss consumed the entire balance.
Trade quality
Win rate is 0% on one closed episode. Profit factor is undefined—no winning trades to offset losses. Gross fees paid were $7.3K against $19M in volume, a fee ratio of 0.038%. The realised loss of $1.59M dwarfs fee drag, so execution costs were not the primary driver of the loss.
Post-mortems
ARB long, opened 29 May at $0.44, closed 30 May at $0.37. Position size reached $14.4M notional. The trade lost $1.59M over 34 hours. No structural stop was triggered. The exit price of $0.37 represents a 16% decline from entry.
Honest summary
- Only one closed trade is available; sample is too small to assess consistency, edge, or decision-making patterns.
- The single loss was large relative to account size, consuming the entire balance in the data covered.
- Five open positions remain; their status and risk profile cannot be evaluated from the provided data.
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.