RRektrospect

0x7b7f72a28fe109fa703eeed7984f2a8a68fedee2

0x7b7f...dee2 wallet audit

0x7b7f...dee2 audit. -$503 realised trading PnL across 274 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.

loss-dominatedA quick bucket assigned from realised trading PnL, closed position-cycle count, and whether the public fill source was capped. Data covered: May 19, 2026 to Jul 10, 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 19, 2026 to Jul 10, 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
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Current account valueAccount value from Hyperliquid's public account state when this audit ran. This is a balance snapshot, not proof of lifetime deposits or withdrawals.$6,844,872latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: May 19, 2026 to Jul 10, 2026. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.-$503-0.0%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: May 19, 2026 to Jul 10, 2026.-5.6%274 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+63.5%0.93 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$36,263,086286 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 $6,844,872 minus closed trading PnL -$503 = starting estimate $6,845,375). 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 19, 2026 to Jul 10, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 19, 2026 to Jul 10, 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
274 closed, 12 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 19, 2026 to Jul 10, 2026. It is not a prediction.$6,844,872
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 19, 2026 to Jul 10, 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 19 with $6.8M and ends at Jul 10 with $6.8M.Account value (USD)Date$6.8M$6.8M$6.8MMay 19May 19Jul 10
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 19, 2026 to Jul 10, 2026; older public fills may exist outside this audit because the source hit its cap.
  • This account is -0.01% in the data covered—essentially flat after fees—but the headline masks severe structural problems.
  • The account lost $503 in realised PnL across 274 closed trades while paying $673 in fees, meaning fees alone consumed the entire edge.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • 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.
  • This account is -0.01% in the data covered—essentially flat after fees—but the headline masks severe structural problems.
  • The account lost $503 in realised PnL across 274 closed trades while paying $673 in fees, meaning fees alone consumed the entire edge.
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 -0.01% in the data covered—essentially flat after fees—but the headline masks severe structural problems. The account lost $503 in realised PnL across 274 closed trades while paying $673 in fees, meaning fees alone consumed the entire edge. The deepest decline in this window reached -5.6%, driven by oversized revenge trades and averaging-down episodes that turned small losses into account-threatening drawdowns. Short-side trades (64.5% win rate, +$1,534 PnL) carried the account; long-side trades bled $2,037. The core issue is not edge—the account has one—but position sizing and emotional recovery trades that systematically amplified losses.

What the data shows

The account opened on 19 May 2026 with an estimated starting balance of $6.85M and closed the data covered at $6.84M. The highest balance in this window was $7.03M on 3 June; the lowest balance in this window was $6.57M on 20 May. That $467k swing in 24 hours is the signature of a high-leverage account running into consecutive losses without hard stops.

Money was made on short-side execution. ETH shorts generated $1,038, HYPE shorts $465, and XRP shorts $65. These three instruments alone account for $1,568 of the $1,534 total short PnL. By contrast, long positions across BTC, ETH, HYPE, and SOL collectively lost $2,037. The long-side win rate was 62.5%; the short-side win rate was 64.5%. The difference is not skill—it is sizing. When the account went long, it sized aggressively into losers and held through adverse excursions. When it went short, it took smaller, more disciplined positions.

Fees paid $1,246 gross, but the account received $673 in net rebates (70.64% maker fill rate). Even with rebates, net fee drag of $673 consumed the entire $164.50 realised PnL, leaving the account at -$503 after costs. This is not a fee problem; it is a PnL problem. The account generated barely enough edge to cover execution costs.

Trade quality

Win rate 63.5%, profit factor 0.93, expectancy -$1.84 per trade, win/loss ratio 0.53. These numbers tell a clear story: the account wins more than it loses, but when it loses, it loses much larger. Average win is $38.64; average loss is -$72.27. The account is taking 1.87x larger losses than wins. Profit factor below 1.0 means total losses exceed total wins in dollar terms—a losing proposition at scale.

The max loss streak was 6 consecutive closed trades. The max win streak was 11. Streaks are noise in a 274-trade sample, but the asymmetry between win size and loss size is structural. The account is not failing on frequency; it is failing on magnitude control.

Post-mortems

ETH long, 19 May 2026, 02:52–03:33 UTC: entry $2,115.73, exit $2,111.42, -$1,024.76 loss.

Flags: averaging down, oversized loser, revenge trade. Max position notional $432k. Structural stop distance 0.95%. This was a revenge trade opened after a HYPE loss. The account averaged down into a falling position and exited at a loss within 38 minutes. The position was sized at 20x leverage on a $13.5M margin account, creating a $432k notional exposure on a micro-timeframe trade. The structural stop (ATR 14 on 1h) was 0.95% away, meaning the account was operating with almost no margin for adverse movement.

BTC long, 19 May 2026, 17:50–04:34 UTC (next day): entry $76,922.92, exit $76,830.44, -$1,020.20 loss.

Flags: oversized loser, revenge trade. Max position notional $782k. Structural stop distance 0.71%. This trade opened after the ETH loss and ran for 10.84 hours. The account sized into a $782k position (20x leverage) and held through a -0.12% adverse move before closing. The structural stop was 0.71% away—tighter than the ETH trade but still minimal margin.

BTC long, 10 July 2026, 18:15–19:26 UTC: entry $63,887.07, exit $63,853.92, -$716.67 loss.

Flags: averaging down, oversized loser, revenge trade. Max position notional $885k. Structural stop distance 0.82%. This was the most recent major loss in the data covered. The account opened a $885k position (20x leverage) on BTC after a SOL loss, averaged down, and closed at a loss within 1.19 hours. The structural stop was 0.82% away. This trade occurred just before the account opened its current short BTC position.

All three post-mortem trades share a pattern: they follow losses in other instruments, they are sized at or near maximum leverage, they have structural stops closer than 1%, and they close within hours. These are not directional bets; they are emotional recovery attempts.

What the risk simulator reveals

Under a 1% hard stop rule, the account would have realised $25,453 in PnL with a deepest decline in that scenario of -1.79%. Under a 2% rule, $50,906 and -3.54%. Under a 4% rule, $101,813 and -6.88%. The simulator stopped 5 episodes early under all three rules, indicating that a small subset of trades would have hit the stop and prevented the largest losses.

The actual account result was -$503 with a deepest decline of -5.6%. The 4% rule would have produced a deepest decline of -6.88%—slightly worse than actual—but the PnL would have been $101,813 instead of -$503. This is not a hypothetical: it is a historical counterfactual showing that mechanical stops would have converted this account from loss-making to highly profitable. The account's edge exists; it is being destroyed by the refusal to cut losses.

Open positions

The account holds five open positions totalling $491k notional across $20.5M margin (2.4% margin utilisation). None have stops in place.

ETH long dominates: $270k notional, $593 unrealised PnL (+4.4% unrealised ROE), 20x leverage, cross margin, held since 10 July 2026 (0 days in the visible cycle), no liquidation price. This is the only position with meaningful unrealised profit. It is also the largest position by notional value.

BTC short: $80.7k notional, -$31 unrealised PnL (-0.77% unrealised ROE), 20x leverage, cross margin, held since 10 July 2026, liquidation price $1.73M. The liquidation price is far from mark ($64,133), indicating the account has substantial margin cushion on this position.

SOL short: $19.1k notional, -$12.63 unrealised PnL (-0.66% unrealised ROE), 10x leverage, cross margin, held since 10 July 2026, liquidation price $8,511.86. Mark price is $78.01; liquidation

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.
90
Examples
  • HYPE on May 19, 2026: re-entered at 47.35 after closing at 47.46 (May 19, 2026 prior close); outcome $32.
  • HYPE on May 19, 2026: re-entered at 47.29 after closing at 47.29 (May 19, 2026 prior close); outcome -$1.
+88 more matching cycles
Averaging downAdded size while the position was already moving against the entry.
103
Examples
  • XRP on May 19, 2026: added to the position; while it was already moving against entry; outcome $3.
  • XRP on May 19, 2026: added to the position; while it was already moving against entry; outcome $54.
+101 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
32
Examples
  • BTC: -$622 realised loss; 91.5x median closed loss.
  • HYPE: -$79 realised loss; 11.6x median closed loss.
+30 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
39
Examples
  • BTC on May 19, 2026: followed a -$166 loss; larger-than-normal size.
  • HYPE on May 19, 2026: followed a -$5 loss; larger-than-normal size.
+37 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$1.84
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+757.7%
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+70.6%

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.$25,453
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-1.8%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
5
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.$50,907
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-3.5%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
5
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.$101,813
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-6.9%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
5

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 $6.8M and ends at Jul 10 with $6.9M.Account value (USD)Date$7M$6.9M$6.8MMay 19May 19Jul 10

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.
BTClong$637,463$9252026-07-10
ETHshort$483,615$5212026-07-10
ETHshort$509,948$4292026-07-10
ETHlong$206,309$4212026-05-19
BTCshort$926,444$2572026-05-19

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.
BTC18+44.4%-$1,574
ETH18+66.7%$413
HYPE147+64.6%$360
XRP8+75.0%$129
SOL32+75.0%$109
xyz:SILVER26+65.4%$40
xyz:SNDK11+63.6%$38
xyz:GOLD10.0%-$10
xyz:MU13+38.5%-$9
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