- Open ETH short dominates this wallet: $34,095,297 notional, -$607,348 -27.2% unrealised, 15x cross, held at least 52 days, liquidation $3,255.
- Closed-trade context: -$110 realised trading PnL across 13 closed position cycles in the data covered.
- Data used: latest 10,000 public fills from May 19, 2026 to Jul 10, 2026; older public fills may exist outside this audit because the source hit its cap.
- The hold duration is a lower bound because the position was already open at the first visible fill for that market.
@Wintermute - 0xecb63caa47c7c4e77f60f1ce858cf28dc2b82b00
@Wintermute wallet audit
Open ETH short dominates this wallet: $34,095,297 notional, -$607,348 -27.2% unrealised, 15x cross, held at least 52 days, liquidation $3,255. Closed trades are supporting context: -$110 realised trading PnL across 13 closed position cycles, using the latest 10,000 public fills from May 19, 2026 to Jul 10, 2026; older public fills may exist outside this audit.
Closed trades still matter, but they are not the main account story here. The closed-trade sample covers May 19, 2026 to Jul 10, 2026; the open-position figures are live account-state figures from Hyperliquid when the audit ran. The unrealised PnL is still open, not a locked result; liquidation at $3,255 remains the downside boundary for this position.
- Position
- ETH short
- Open PnL
- -$607,348 (-27.2% ROE)
- Notional
- $34,095,297
- Liquidation
- $3,255
- Read this as
- entry $1,762 · mark $1,794 · held at least 52 days · 15x cross · $2,273,020 margin used
This audit is position-dominated, so open unrealised PnL is shown separately from closed realised trading PnL. The dollar PnL is the realised result from closed trades in the data covered. The percentage uses an inferred starting value (current account value $90,996,837 minus closed trading PnL -$110 = starting estimate $90,996,947). 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
- 13 closed, 130 open
- Limit
- latest 10,000 fills only
- Open ETH short dominates this wallet: $34,095,297 notional, -$607,348 -27.2% unrealised, 15x cross, held at least 52 days, liquidation $3,255.
- Closed-trade context: -$110 realised trading PnL across 13 closed position cycles in the data covered.
- Data used: latest 10,000 public fills from May 19, 2026 to Jul 10, 2026; older public fills may exist outside this audit because the source hit its cap.
- The hold duration is a lower bound because the position was already open at the first visible fill for that market.
Bottom line up front
Open ETH short dominates this wallet: $34.1M notional, -$607k unrealised, -27.2% unrealised ROE, 15x leverage, cross margin, held 52 days, liquidation at $3,255. This is still open exposure; the unrealised loss is not locked in, and the final outcome is unknown until the position closes. The liquidation price sits 81% above current mark, but the position remains the primary driver of account risk. Across the data covered, closed trades lost $3.9k after fees on $704k gross volume, while four large short positions across ETH, BTC, SOL, and AVAX carry combined unrealised gains of $2.9M that mask a deeply underwater account structure.
What the data shows
This account has been active for 52 days in the data covered and is position-dominated by a single underwater ETH short entered on 19 May at $1,761.84. The position has accrued $110k in funding costs since entry and now sits $607k in the red at current mark of $1,793.80. The account's highest balance in this window was $161.1M on 17 June; the lowest balance in this window was $68.7M on 20 May, marking a deepest decline in this window of 48.7%. Current balance stands at $91M.
Closed trades tell a separate and damaging story. Thirteen closed episodes generated -$3.9k realised loss after $8.4k in net fee drag. The account is short-biased in closed trades—shorts won at 60% rate versus longs at 12.5%—but the edge is fragile. Three trades on 19 May were oversized losers: SILVER long lost $162 (37.8x median loss), SP500 long lost $35.47 (8.3x median loss), and BRENTOIL long lost $28.92 (6.8x median loss). All three were entered and exited within 12 hours. The largest win was a revenge trade: INTC short on 19 May, entered at $111.04, exited at $109.49 for $134.84 gain after a prior loss in SILVER. Win rate across all closed episodes is 30.8%, profit factor is 0.56, and expectancy per trade is -$8.44.
The account carries 130 open episodes across five coins. The ETH short is the headline, but BTC short ($5.8M notional, -$15.5k unrealised, -5.3% ROE, 20x leverage, liquidation at $371.6k) and SOL short ($14.9M notional, +$226.6k unrealised, +29.9% ROE, 20x leverage, liquidation at $222.79) are material. ATOM long ($106.6k notional, -$1.1k unrealised, -5% ROE, 5x leverage) and AVAX short ($202.2k notional, +$706 unrealised, +3.5% ROE, 10x leverage) are minor. No stops are in place on any position.
Trade quality
Win rate of 30.8% on 13 closed episodes is below breakeven. Profit factor of 0.56 means every dollar won generated $1.79 in losses. Expectancy of -$8.44 per trade confirms the closed-trade sample is unprofitable. The win/loss ratio of 1.26 (average win $34.79 versus average loss -$27.65) is inverted relative to the win rate—the account wins smaller and loses larger, a classic sign of poor risk management.
Fees paid total $8.6k gross, with net fee drag of $8.4k. On $704k gross closed trade volume, that is 1.2% of volume consumed by execution. The account is 66.1% maker, suggesting passive entry discipline, but the closed-trade losses dwarf fee impact.
Post-mortems
SILVER long, 19 May, $161.99 loss. Entered at $75.98, exited at $75.88 after 12.24 hours. Position size reached $145.6k notional. This was flagged as both an oversized loser (37.8x median loss) and a revenge trade following a $35.47 loss in SP500 earlier the same day. Structural stop distance was 1.35% from entry; the trade hit -0.13% before exit. The pattern is clear: after a small loss, the account sized into SILVER at 4x the prior position notional and held through a minor adverse move before cutting.
SP500 long, 19 May, $35.47 loss. Entered at $7,375.72, exited at $7,375.50 after 12.15 hours. Position size reached $67.2k notional. Flagged as oversized loser (8.3x median loss). Structural stop was 0.41% away; the trade moved -0.003% before exit. This was the trigger for the SILVER revenge trade that followed.
INTC short, 19 May, $134.84 win. Entered at $111.04, exited at $109.49 after 12.04 hours. Position size reached $64.9k notional. Flagged as revenge trade following the $161.99 SILVER loss. This was the only profitable revenge trade in the sample. The win came 12 hours after the SILVER exit, suggesting the account re-entered with conviction after a loss and caught a move in the right direction.
What the risk simulation reveals
Historical counterfactuals under fixed stop-loss rules show severe deepest decline in this window compression but larger absolute losses. Under a 1% rule, simulated deepest decline in this window would have been -1.18% with realised loss of -$1.07M. Under 2%, simulated deepest decline in this window would have been -2.35% with realised loss of -$2.14M. Under 4%, simulated deepest decline in this window would have been -4.7% with realised loss of -$4.28M. Two episodes would have stopped early under each rule. The simulator is gross of fees. These counterfactuals illustrate that the current 48.7% deepest decline in this window was driven by open position mark-to-market swings, not closed-trade realisation; mechanical stops would have crystallised losses instead of preserving the possibility of recovery.
Open positions
ETH short is the dominant exposure: $34.1M notional, -$607k unrealised, -27.2% ROE, 15x leverage, cross margin, 52 days held, liquidation at $3,255.41. Funding costs since entry total $110.3k. No stop is in place.
BTC short is the second-largest: $5.8M notional, -$15.5k unrealised, -5.3% ROE, 20x leverage, cross margin, 52 days held, liquidation at $371.6k. No stop is in place.
SOL short is profitable in the open window: $14.9M notional, +$226.6k unrealised, +29.9% ROE, 20x leverage, cross margin, 52 days held, liquidation at $222.79. No stop is in place.
ATOM long is a minor position: $106.6k notional, -$1.1k unrealised, -5% ROE, 5x leverage, cross margin, 52 days held, no liquidation price. No stop is in place.
AVAX short is the smallest: $202.2k notional, +$706 unrealised
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.
- xyz:SP500: -$35 realised loss; 8.3x median closed loss.
- xyz:SILVER: -$162 realised loss; 37.8x median closed loss.
- xyz:SILVER on May 19, 2026: followed a -$35 loss; larger-than-normal size.
- xyz:INTC on May 19, 2026: followed a -$162 loss; larger-than-normal size.
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.
- -1.2%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 2
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -2.4%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 2
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -4.7%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 2
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.