- Data used: latest 10,000 public fills from Aug 30, 2025 to Jan 31, 2026; 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.
- Nine closed episodes over 154 days, with a -100% realised loss of $17.95m against $375.5m gross volume, leaves the account at $0.27.
0x89da4baec446f35a1cbe17a9d1ee5c70b05ee43f
0x89da...e43f wallet audit
0x89da...e43f audit. -$17,949,843 realised trading PnL across 9 closed position cycles, using the latest 10,000 public fills from Aug 30, 2025 to Jan 31, 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 $0 minus closed trading PnL -$17,949,843 = starting estimate $17,949,843). 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
- 9 closed, 4 open
- Limit
- latest 10,000 fills only
- Data used: latest 10,000 public fills from Aug 30, 2025 to Jan 31, 2026; 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.
- Nine closed episodes over 154 days, with a -100% realised loss of $17.95m against $375.5m gross volume, leaves the account at $0.27.
Bottom line up front
The sample is too small to draw reliable conclusions about this account's edge or approach. Nine closed episodes over 154 days, with a -100% realised loss of $17.95m against $375.5m gross volume, leaves the account at $0.27. Only the most recent public fills are visible in this data covered. The two largest losses—XPL long from 0.81 to 0.39 (–$16.3m, 42.6 hours) and ETH long from 2756.41 to 2481.90 (–$2.4m, 193 hours)—both flagged as oversized, account for 91% of realised losses. A single ETH scalp on 30 August 2025 (4267.82 to 4379.76, +$2.4m in 4 hours) was the only material win. The sample is too small to isolate whether these outcomes reflect execution error, leverage miscalibration, or directional conviction that failed to materialise.
What the data shows
The data covered spans 154 days and captures nine closed trades across four instruments. XPL, ETH, SOL, and ZEC were all approached as longs; no short positions appear in the closed record. The account opened with an ETH scalp that worked—a 4-hour hold at 102.8m notional returning $2.4m—but this early win was obliterated by two consecutive oversized long positions that moved against the account sharply.
The XPL trade (opened 9 October 2025, closed 10 October 2025) sized to $25.8m notional on a 0.81 entry and exited at 0.39, a 52% decline in 42.6 hours. The structural stop was set at 4% distance, well below the realised adverse move. The ETH trade that followed (opened 23 January 2026, closed 31 January 2026) sized to $23.5m notional, entered at 2756.41, and exited at 2481.90, a 10% loss over 193 hours. The structural stop here was tighter—1.41% distance via ATR(14,1h)—but again did not arrest the loss.
Between these two catastrophic positions, the account posted a modest ETH win (261k) on a 125-day hold from 2915.54 to 3061.89. The account generated $375.5m in gross volume against $93.6k in fees, a ratio of 0.025%, indicating low-friction execution. Realised losses of $18.3m against $93.6k in fees means the account lost money on the core trade selection, not on execution cost.
Trade quality
Win rate is 22% (2 wins in 9 closed trades). Profit factor is undefined because total losses exceed total wins by a factor of 7.7:1. Expectancy per closed trade is –$2.03m. The two wins averaged $1.3m; the seven losses averaged $2.6m per episode. The largest loss was 6.8x the largest win. Fees consumed 0.5% of realised PnL magnitude, a negligible drag relative to the directional losses.
Post-mortems
XPL long, 9–10 October 2025. Entry at 0.81, exit at 0.39, notional $25.8m, loss –$16.3m. Held 42.6 hours. Structural stop set at 4% distance but not triggered. The position was flagged as oversized. The 52% adverse move in under two days suggests either a sharp adverse catalyst or a sizing error relative to conviction or volatility expectation.
ETH long, 23 January–31 January 2026. Entry at 2756.41, exit at 2
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.
- SOL on Jan 25, 2026: added to the position; while it was already moving against entry; outcome -$258,193.
- ZEC on Jan 31, 2026: added to the position; while it was already moving against entry; outcome -$57,798.
- ETH: -$1,359,996 realised loss; 5.3x median closed loss.
- XPL: -$16,324,271 realised loss; 63.2x median closed loss.
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.
- -1.6%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 3
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -3.1%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 3
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -5.9%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 3
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.