RRektrospect

0x7b7f72a28fe109fa703eeed7984f2a8a68fedee2

0x7b7f...dee2 wallet audit

0x7b7f...dee2 audit. -$1,104 realised trading PnL across 263 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
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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.$6,489,919latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: May 18, 2026 to May 20, 2026. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.-$1,104-0.0%
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%263 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+64.6%0.85 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$35,059,310272 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 $6,489,919 minus closed trading PnL -$1,104 = starting estimate $6,491,024). 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
263 closed, 9 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.$6,489,919
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 $6.5M and ends at May 20 with $6.5M.Account value (USD)Date$6.5M$6.5M$6.5MMay 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.
  • The account is loss-making in that window: -0.02% realised PnL (-$1,104 on a $6.49M balance), with a deepest decline in this window of -0.04%.
  • The core problem is not volatility or bad luck—it is systematic: five oversized revenge trades opened within minutes of losses, averaging 55x the median loss size, and a pattern of averaging down into HYPE shorts and ETH longs that turned into the two largest losses in the set.
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 18, 2026 to May 20, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The account is loss-making in that window: -0.02% realised PnL (-$1,104 on a $6.49M balance), with a deepest decline in this window of -0.04%.
  • The core problem is not volatility or bad luck—it is systematic: five oversized revenge trades opened within minutes of losses, averaging 55x the median loss size, and a pattern of averaging down into HYPE shorts and ETH longs that turned into the two largest losses in the set.
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. The account is loss-making in that window: -0.02% realised PnL (-$1,104 on a $6.49M balance), with a deepest decline in this window of -0.04%. The core problem is not volatility or bad luck—it is systematic: five oversized revenge trades opened within minutes of losses, averaging 55x the median loss size, and a pattern of averaging down into HYPE shorts and ETH longs that turned into the two largest losses in the set. The account has edge in HYPE longs (64.77% win rate, +$584 realised) and ETH shorts (62.5% win rate, +$995 realised), but that edge is being overwhelmed by outsized directional bets taken in emotional response to prior losses.

What the data shows

This is a 1.5-day window (18–20 May 2026) with 263 closed episodes and 9 open positions. The account started at approximately $6.49M and closed the window at $6.49M, having paid $576.80 in net fees. Realised PnL before fees was -$171.57; fees consumed an additional $576.80, for a total loss of $1,104.34.

The account shows a clear long/short split. Long positions generated -$1,213 realised PnL (64.34% win rate), while short positions generated +$109 realised PnL (64.93% win rate). The long-side losses are concentrated in three coins: BTC (-$1,275 across 8 episodes), SOL (-$507 across 27 episodes), and ETH (-$757 across 16 episodes). By contrast, HYPE—the most-traded coin with 176 episodes—returned +$584 realised PnL on longs and only -$161 on shorts, suggesting genuine edge in HYPE long direction.

The behavioural data reveals the mechanism of loss. Five revenge trades are flagged: BTC long opened 4 minutes after a HYPE loss; HYPE long opened 37 seconds after a BTC loss; HYPE short opened 54 seconds after a small HYPE loss; SOL short opened 2 minutes after a HYPE short loss; ETH long opened 3 seconds after a SOL short loss. Each of these was sized aggressively. The HYPE short revenge trade (opened 18 May 22:16:45) reached $127,756 notional, closed at -$618.93 loss, and was preceded by averaging down—the trader added to the position at 47.094, 47.104, and 47.104 as it moved against him. The ETH long revenge trade (opened 19 May 22:18:52) reached $2.48M notional, closed at -$1,024.76 loss, and was also preceded by averaging down.

Five FOMO re-entries are flagged on HYPE, all within minutes of closing prior positions. The largest outcome was +$146.84 on a re-entry 6 seconds after closing a position at 47.351, re-entering at 47.35. The worst was -$212.78 on a re-entry 3.7 seconds after closing at 47.263, re-entering at 47.260. These are not edge trades; they are mechanical re-entries into the same coin after micro-closures.

Fees are material. Gross fees paid were $1,142.84 on $35.06M gross volume. The net fee drag (after rebates) was $576.80, suggesting the account is a net maker (73.77% maker fill rate). Fees alone nearly matched the realised loss.

Trade quality

Win rate is 64.64% across 263 closed episodes—well above 50%—but profit factor is 0.85, meaning losing trades outweigh winning trades by 15%. Average win is $37.27; average loss is -$79.99. The win/loss ratio is 0.47, reflecting that losses are roughly twice the size of wins. Expectancy is -$4.20 per episode.

This is a classic case of high hit rate, low edge. The trader is right more often than wrong, but when wrong, the position size is much larger. The five oversized losers range from 6.46x to 55.26x the median loss size, confirming that losses are not random—they are concentrated in specific, emotionally-driven episodes.

Post-mortems

HYPE short, 18 May 22:16:45 to 22:54:39 (0.38 hours)

Opened at 47.10, closed at 47.32, loss -$618.93 on $127,756 notional. Flagged as averaging down, oversized loser (55.26x median), and revenge trade. The trader opened short after a small HYPE loss, then added to the position at 47.094, 47.104, and 47.104 as price moved against him. The position reached 2,700 contracts at max. This was the largest single loss in the data covered and the clearest evidence of loss-chasing.

ETH long, 19 May 22:18:52 to 23:37:47 (0.63 hours)

Opened at 2,115.75, closed at 2,112.62, loss -$1,024.76 on $432,833 notional. Flagged as averaging down, oversized loser, and revenge trade. This was opened 3 seconds after closing a SOL short loss of -$548.84. The position was sized at $432K notional with 3x leverage and a structural stop 3% away. The trade moved immediately against the entry and was closed at the stop.

What the risk simulator reveals

Under a 1% stop-loss rule applied historically to all closed episodes (gross of fees), the account would have generated $23,631 realised PnL with a deepest decline in this window of -0.58%. Under a 2% rule, $47,261 with -1.15% decline. Under a 4% rule, $94,523 with -2.29% decline. Win rate across all simulations is 56.2%.

This is the clearest signal in the data: the account has latent edge, but that edge is being destroyed by position sizing on revenge trades and averaging down. A mechanical 1% stop would have prevented the two largest losses (HYPE short -$618.93 and ETH long -$1,024.76) and converted the window into a +$23.6K profit. The trader's actual stops are set at 3–4% distance, which is wide enough to allow the largest losses to run to full size.

Open positions

Five positions are open with no stops in place:

  • BTC short: 20x leverage, entry 76,821.30, unrealised -$44.93. No stop.
  • ETH short: 20x leverage, entry 2,113.41, unrealised +$10.13. No stop.
  • SOL long: 10x leverage, entry 84.2765, unrealised +$2.03. No stop.
  • XRP short: 10x leverage, entry 1.360524, unrealised -$4.77. No stop.
  • HYPE long: 3x leverage, entry 48.0098, unrealised -$13.44. No stop.

The BTC and ETH shorts are sized at 20x leverage with no downside protection. The absence of stops across all five positions

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.
88
Examples
  • HYPE on May 18, 2026: re-entered at 47.37 after closing at 47.41 (May 18, 2026 prior close); outcome $1.
  • HYPE on May 18, 2026: re-entered at 47.35 after closing at 47.35 (May 18, 2026 prior close); outcome $147.
+86 more matching cycles
Averaging downAdded size while the position was already moving against the entry.
102
Examples
  • HYPE on May 18, 2026: added to the position; while it was already moving against entry; outcome -$619.
  • HYPE on May 18, 2026: added to the position; while it was already moving against entry; outcome $1.
+100 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
28
Examples
  • HYPE: -$72 realised loss; 6.5x median closed loss.
  • BTC: -$161 realised loss; 14.3x median closed loss.
+26 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
32
Examples
  • BTC on May 18, 2026: followed a -$72 loss; larger-than-normal size.
  • HYPE on May 18, 2026: followed a -$161 loss; larger-than-normal size.
+30 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$4.20
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.+73.8%

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.$23,631
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.$47,261
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-1.1%
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.$94,523
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-2.3%
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 $6.5M and ends at May 19 with $6.5M.Account value (USD)Date$6.5M$6.5M$6.4MMay 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.
ETHshort$2,484,044$9062026-05-19
HYPElong$129,770$4762026-05-18
ETHlong$206,309$4212026-05-19
HYPElong$116,634$2842026-05-18
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.
BTC8+37.5%-$1,275
SOL27+70.4%-$507
HYPE176+64.8%$423
ETH16+62.5%$238
xyz:SILVER24+66.7%$43
XRP11+72.7%-$17
xyz:GOLD10.0%-$10
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