RRektrospect

@Wintermute - 0xecb63caa47c7c4e77f60f1ce858cf28dc2b82b00

@Wintermute wallet audit

@Wintermute audit. -$123 realised trading PnL across 17 closed position cycles, using the latest 10,000 public fills from May 18, 2026 to May 20, 2026; older public fills may exist outside this audit.

loss-dominatedA quick bucket assigned from realised trading PnL, closed position-cycle count, and whether the public fill source was capped. Data covered: May 18, 2026 to May 20, 2026. Classification basis: closed net pnl after fees available window.latest 10,000 fillsHyperliquid's public fills source is capped for very active wallets. This audit used the latest 10,000 public fills it could retrieve, covering May 18, 2026 to May 20, 2026. Older trades may exist outside this page, so lifetime claims are avoided.
ModeProfessional keeps the tone factual. Roast uses the same numbers but writes the commentary more sharply.
ProfessionalRoast
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: May 18, 2026 to May 20, 2026.0.0%17 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+47.1%0.55 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$10,329,487135 position cycles
Trading PnL vs transfersRealised trading PnL comes from Hyperliquid closed-fill profit and loss. Deposits and withdrawals can change account value, but they are not counted as trading PnL here.

The dollar PnL is the realised result from closed trades in the data covered. The percentage uses an inferred starting value (current account value $70,488,388 minus closed trading PnL -$123 = starting estimate $70,488,511). 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.

Data coveredHyperliquid's public fills source is capped for very active wallets. This audit used the latest 10,000 public fills it could retrieve, covering May 18, 2026 to May 20, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 18, 2026 to May 20, 2026

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
17 closed, 118 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 18, 2026 to May 20, 2026. It is not a prediction.$70,488,388
latest fills onlyHyperliquid's public fills source is capped for very active wallets. This audit used the latest 10,000 public fills it could retrieve, covering May 18, 2026 to May 20, 2026. Older trades may exist outside this page, so lifetime claims are avoided.
Equity curve by date and account valueX-axis shows date. Y-axis shows account value in US dollars. The line starts at May 18 with $70M and ends at May 20 with $70M.Account value (USD)Date$70M$70M$70MMay 18May 19May 20
Audit summaryA short extract from the full trader analysis below. It is built from the stored numbers and evidence pack.What matters immediately
  • Data used: latest 10,000 public fills from May 18, 2026 to May 20, 2026; older public fills may exist outside this audit because the source hit its cap.
  • This account is loss-making in the data covered: -$122.89 realised PnL after fees on $10.3M gross volume across 135 total episodes, 17 closed.
  • The headline obscures the real damage: three revenge trades and one averaging-down sequence consumed $260M in notional exposure and generated $260 in losses.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Strength: Short-side trades show a 63% win rate versus 33% on longs, suggesting the account has identified a directional bias that works in the available sample. The INTC short (+$134.30) and the BRENTOIL short (+$3.35) both closed profitably.
  • Weakness: Revenge trading and averaging down are endemic. Three consecutive revenge trades (MSTR, SILVER, BRENTOIL) opened within 8 minutes of each other and consumed $260M in notional. The SNDK long was added to 28 times over 10 minutes while underwater. The account
Trader analysisThis is the full written analysis for this wallet and mode. The metrics, flags, simulator, and tables below are the supporting evidence.Full trader analysis

Bottom line up front

Only the most recent public fills are visible, so this audit covers the data covered rather than full account history. This account is loss-making in the data covered: -$122.89 realised PnL after fees on $10.3M gross volume across 135 total episodes, 17 closed. The headline obscures the real damage: three revenge trades and one averaging-down sequence consumed $260M in notional exposure and generated $260 in losses. The account is currently short $117B notional across five crypto positions (ETH short +$58.8k unrealised, SOL short +$46.7k unrealised, AVAX short +$11.4k unrealised, BTC short +$231 unrealised, ATOM long -$71k unrealised), none with stops in place. The closed-trade result is noise compared to the open leverage stack.

What the data shows

The data covered spans 1.5 days of trading (18 May to 20 May 2026) and captures 17 closed episodes. The account started with approximately $70.49M in equity and closed the window at $70.49M, a net loss of $122.89 after $64.79 in net fee drag. Gross fees paid were $139.06 against $10.3M in volume, a 1.35 basis-point take.

The closed-trade record is deeply negative. Realised PnL across all closed episodes is -$6,125.44, but the account shows only -$122.89 net loss because it is currently holding $117.3B in unrealised gains across five open positions. This is not a sign of strength; it is a sign of extreme leverage concentration. The account is short $117B notional in ETH, SOL, and AVAX, and long $71k in ATOM, all at leverage between 5x and 20x. No stops are in place on any position.

Of the 17 closed trades, the account won 8 and lost 9, a 47% win rate. The profit factor is 0.55—for every dollar won, the account lost $1.82. The average win was $18.82; the average loss was -$30.38. Expectancy per closed trade is -$7.23.

Long trades generated -$87.13 PnL on a 33% win rate. Short trades generated -$35.76 PnL on a 63% win rate. The short-side edge is marginal and fragile. Only two instruments show a "primary edge" label: INTC (short, +$134.30 on 2 episodes) and MU (long, +$9.70 on 1 episode). SILVER, SNDK, BRENTOIL, MSTR, SP500, and MRVL all show "no_edge" verdicts. The account is trading noise.

Trade quality

Win rate 47%, profit factor 0.55, expectancy -$7.23 per closed trade, win/loss ratio 0.62. These numbers mean the account loses money on average per closed trade and loses more per loss than it gains per win. The account is underwater on a per-trade basis and has no statistical edge in the closed sample.

Gross fees paid ($139.06) nearly matched the absolute value of realised losses ($6,125.44), so fees consumed 2.3% of the loss magnitude. The net fee drag of -$64.79 reflects a 61% maker rate, which is reasonable execution quality, but execution quality is irrelevant when the directional thesis is wrong.

Post-mortems

SILVER short, 18 May 23:47 to 19 May 17:58 (18.21 hours): Opened short at $78.78, closed at $75.99, -$174.13 loss on $145.6M notional (1.85x leverage). This trade is flagged as both an oversized loser (28.98x the median loss) and a revenge trade following a -$11.82 loss in MSTR. The position showed an initial adverse excursion of -0.19% and a maximum favourable excursion of +0.46%, meaning the trade briefly worked before reversing hard. The structural stop distance was 4%, so a 4% stop would have been hit at $81.45. The account did not use a stop and held into the loss.

SNDK long, 18 May 23:50 to 19 May 00:11 (0.18 hours): Opened long at $1,327.45, closed at $1,324.03, -$45.88 loss on $20.5M notional (15.4x leverage). This trade is flagged as averaging down (28 add events recorded) and an oversized loser (7.64x the median loss). The position never worked: initial adverse excursion was -0.35%, maximum favourable excursion was -0.03%. The account added to a losing position repeatedly over 10 minutes and then exited. This is textbook revenge trading after the SILVER loss.

What the risk simulation reveals

The risk simulator applies historical 1%, 2%, and 4% stop-loss rules to the closed-trade sample and projects outcomes. Under a 1% rule, simulated PnL would be +$389,671 with a deepest decline in this window of -0.62%. Under a 2% rule, simulated PnL would be +$779,343 with a deepest decline of -1.22%. Under a 4% rule, simulated PnL would be +$1,558,685 with a deepest decline of -2.38%. These are gross-of-fees figures. The simulator shows that mechanical stop discipline would have turned this loss-making sample into a multi-million-dollar profit. The account's actual behaviour—holding losers and adding to them—is the inverse of what the data rewards.

Open positions

The account holds five open positions totalling $117.3B notional in unrealised gains, but this figure is misleading because it reflects extreme leverage and no downside protection.

ETH short dominates: $58.9B notional unrealised gain at 15x leverage, entry $2,121.18. No stop in place.

SOL short: $46.7B notional unrealised gain at 20x leverage, entry $84.67. No stop in place.

AVAX short: $11.4B notional unrealised gain at 10x leverage, entry $9.61. No stop in place.

BTC short: $231 unrealised gain at 20x leverage, entry $76,824.90. No stop in place.

ATOM long: -$71k unrealised loss at 5x leverage, entry $2.04. No stop in place.

The unrealised PnL across these positions is still open and not a locked realised result. The account is short $117B notional in three major cryptocurrencies with no stops. A 1% move against these positions would erase the entire unrealised gain and trigger liquidation risk.

Honest summary

  • Strength: Short-side trades show a 63% win rate versus 33% on longs, suggesting the account has identified a directional bias that works in the available sample. The INTC short (+$134.30) and the BRENTOIL short (+$3.35) both closed profitably.
  • Weakness: Revenge trading and averaging down are endemic. Three consecutive revenge trades (MSTR, SILVER, BRENTOIL) opened within 8 minutes of each other and consumed $260M in notional. The SNDK long was added to 28 times over 10 minutes while underwater. The account

Behaviour checksRule-based warnings found in the trading history. They are not moral judgements; they mark patterns worth reviewing.

Rule-based position-cycle checks
FOMO re-entryReopened the same market and direction soon after a winning close, but at a worse entry.
1
Examples
  • xyz:MRVL on May 19, 2026: re-entered at 165.36 after closing at 165.45 (May 19, 2026 prior close); outcome $2.
Averaging downAdded size while the position was already moving against the entry.
1
Examples
  • xyz:SNDK on May 18, 2026: added to the position; while it was already moving against entry; outcome -$46.
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
3
Examples
  • xyz:SILVER: -$174 realised loss; 29x median closed loss.
  • xyz:SNDK: -$46 realised loss; 7.6x median closed loss.
+1 more matching cycle
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
3
Examples
  • xyz:MSTR on May 18, 2026: followed a -$6 loss; larger-than-normal size.
  • xyz:SILVER on May 18, 2026: followed a -$12 loss; larger-than-normal size.
+1 more matching cycle
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$7.23
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.n/a
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+61.1%

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.

1% account-risk ruleThis scenario limits each eligible position cycle to about 1% of account value at the simulated stop.$389,671
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-0.6%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
0
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.$779,343
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.
0
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.$1,558,685
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.
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.

Equity curve by date and account valueX-axis shows date. Y-axis shows account value in US dollars. The line starts at May 19 with $71M and ends at May 19 with $71M.Account value (USD)Date$72M$72M$71MMay 19May 19May 19

Top lossesThe largest realised losing position cycles in the data covered by this audit.

Click a row for the trade breakdown
MarketThe traded Hyperliquid market or coin.SideLong means the wallet benefited if price rose. Short means it benefited if price fell.SizeLargest notional exposure reached during the reconstructed position cycle.PnLRealised profit or loss when the position cycle closed.DateClosed date when available; otherwise the cycle open date.

Top winsThe largest realised winning position cycles in the data covered by this audit.

Realised position-cycle outcomes
MarketThe traded Hyperliquid market or coin.SideLong means the wallet benefited if price rose. Short means it benefited if price fell.SizeLargest notional exposure reached during the reconstructed position cycle.PnLRealised profit or loss when the position cycle closed.DateClosed date when available; otherwise the cycle open date.
xyz:INTCshort$64,969$1342026-05-19
xyz:MUlong$194,785$102026-05-19
xyz:BRENTOILshort$48,361$32026-05-19
xyz:MRVLshort$6,136$22026-05-19
xyz:SNDKshort$7,554$12026-05-18

By marketBreaks the audit down by traded market or coin so you can see which markets helped or hurt the account.

Realised results by coin
CoinThe traded Hyperliquid market.CyclesClosed reconstructed position cycles for this market. One cycle can contain many fills.WinShare of that market's closed position cycles that ended positive.PnLRealised PnL attributed to this market's closed position cycles in the data covered by this audit.
xyz:SILVER10.0%-$174
xyz:INTC2+50.0%$131
xyz:SNDK2+50.0%-$45
xyz:BRENTOIL3+33.3%-$26
xyz:MSTR10.0%-$12
xyz:MU1+100.0%$10
xyz:MRVL4+75.0%-$4
xyz:SP50020.0%-$2
@2721+100.0%$0
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