RRektrospect

0x399965e15d4e61ec3529cc98b7f7ebb93b733336

0x3999...3336 wallet audit

0x3999...3336 audit. $115 realised trading PnL across 373 closed position cycles, using the latest 10,000 public fills from May 18, 2026 to May 19, 2026; older public fills may exist outside this audit.

near break-evenA 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 19, 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 19, 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 19, 2026.0.0%373 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+57.6%1.13 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$9,572,044421 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 $6,262,505 minus closed trading PnL $115 = starting estimate $6,262,390). 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 19, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 18, 2026 to May 19, 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
373 closed, 48 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 19, 2026. It is not a prediction.$6,262,505
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 19, 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 $6.3M and ends at May 19 with $6.3M.Account value (USD)Date$6.3M$6.3M$6.3MMay 18May 19May 19
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 19, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The account is near break-even in that window: $114.83 realised PnL after $190.62 in net fees, on $9.6M gross volume across 373 closed episodes in under two days.
  • The headline obscures a volatile operational pattern: long positions generated $157.14 while shorts lost $42.31, but the account exhibits acute behavioural stress—averaging down into losses, re-entering after closed trades, and revenge-trading after small losses—that has been masked by a 57.6% win rate and a narrow profit factor of 1.13.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Strength: Long-side execution is materially better than short-side. The
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 near break-even in that window: $114.83 realised PnL after $190.62 in net fees, on $9.6M gross volume across 373 closed episodes in under two days. The headline obscures a volatile operational pattern: long positions generated $157.14 while shorts lost $42.31, but the account exhibits acute behavioural stress—averaging down into losses, re-entering after closed trades, and revenge-trading after small losses—that has been masked by a 57.6% win rate and a narrow profit factor of 1.13. The risk simulator shows that a 1% stop rule would have produced a $133k loss and a 5.6% decline in this same window, indicating the account is currently held together by absence of hard stops and tight position management rather than edge.

What the data shows

This is a high-frequency, multi-instrument scalp account operating across equities, commodities, and indices with 3x leverage. The data covered spans 25 hours (18 May 17:54 UTC to 19 May 18:05 UTC) and captures 373 closed trades plus 48 open positions. The account began near $6.26M and closed the window at $6.26M, with a highest balance in this window of $6.26M and a lowest balance in this window of $6.26M, reflecting tight intraday swings.

Long trades outperformed short trades decisively: $157.14 realised PnL on longs versus $42.31 loss on shorts. The long win rate was 60%, while shorts managed 55.4%. This asymmetry is material and suggests the account has directional bias or better execution on the long side, but it is obscured by the short-side losses and the account's reliance on fee rebates to stay positive.

Fees consumed 37.3% of gross PnL. The account paid $226.72 in gross fees but received $36.10 in net rebates (maker rebate rate 42.55%), netting $190.62 in fee drag. Realised PnL before fees was $607.82; after fees, $114.83. This means the account was profitable only because it took maker liquidity and received rebates. Without rebates, the account would have been down $76 in the data covered.

By instrument, the account showed edge on SILVER (57.7% win rate, $104.49 realised PnL), SNDK (55% win rate, $42.88 realised PnL), XYZ100 (60% win rate, $15.53 realised PnL), GOLD (77.8% win rate, $21.15 realised PnL), NVDA (60% win rate, $11.79 realised PnL), and CL (59% win rate, $11.79 realised PnL). The account showed no edge on MU (51.7% win rate, $151.11 loss), INTC (53.3% win rate, $76.68 loss), and BRENTOIL (57.1% win rate, $16.22 loss). MU was the largest single drag: 29 episodes, $151.11 realised loss.

Trade quality

Win rate of 57.64% is above 50% but not exceptional for a scalp account. Profit factor of 1.13 is weak: for every dollar won, the account lost $0.88. Expectancy of $0.31 per trade is marginal—on 373 closed trades, that compounds to the observed $114.83 realised PnL. The win/loss ratio of 0.83 means average wins ($4.51) are smaller than average losses ($5.41) by 17%, a structural disadvantage that is offset only by the higher win rate and fee rebates.

the account is only marginally profitable in the data covered on edge; it is profitable on volume and rebates. If fees were neutral, the account would be underwater.

Post-mortems

MU short, 19 May, entry 690.96, exit 692.08, $33.33 loss. This trade was flagged for averaging down, oversized loss, and revenge trading. The account opened a $11.7k notional short position and held it for 0.01 hours (36 seconds). The position moved against the account immediately (MAE -0.34%), briefly recovered (MFE +0.27%), then closed at a loss. This was a revenge trade following a prior $1.14 loss on META. The structural stop was 4% away; the account did not use a hard stop. This is a classic revenge micro-trade: small prior loss, immediate re-entry at size, no stop, and a quick exit at a loss.

INTC short, 19 May, entry 111.59, exit 111.99, $95.18 loss. Flagged for averaging down and oversized loss. The account opened a $22.1k notional short and held it for 0.15 hours (9 minutes). The position moved against the account (MAE and MFE data unavailable). This was the largest single loss in the top-losses list and was preceded by a $17.49 FOMO re-entry loss on the same coin on 19 May at 12:03 UTC. The account had closed INTC at 106.88 on 19 May at 06:03 UTC, then re-entered at 106.64 at 12:03 UTC (6 hours later), and then opened a new short at 111.59 at an unknown time. This is a pattern of repeated re-entries into the same instrument after losses, with escalating size.

What the risk simulation reveals

Under a 1% stop rule applied historically to this data covered, the account would have realised a $133,263.74 loss and a deepest decline in this window of 5.61%. Under a 2% stop rule, the loss would have been $266,527.49 with a deepest decline of 10.98%. Under a 4% stop rule, the loss would have been $533,054.97 with a deepest decline of 21.08%. Six episodes were stopped early under all three rules, indicating that at least six trades would have hit their structural stops.

The simulator is gross of fees. These counterfactuals reveal that the account's current profitability is entirely dependent on the absence of hard stops. The account is running with structural stops set at 4% (instrument default) but is not enforcing them. If stops were enforced, the account would have suffered catastrophic losses in this window.

Open positions

The account holds five open positions, none with stops in place:

  • XYZ100 long, 3x leverage, entry 28994.98, unrealised +$3.75. The largest open position by notional.
  • TSLA short, 3x leverage, entry 404.134, unrealised -$0.65.
  • NVDA short, 3x leverage, entry 223.288, unrealised -$3.32.
  • GOLD short, 3x leverage, entry 4502.5, unrealised -$0.03.
  • HOOD long, 3x leverage, entry 74.948, unrealised +$0.17.

All five positions are 3x leveraged. None have stops. The net unrealised PnL across all open positions is approximately -$0.15. These are small positions relative to account size but are unhedged and unprotected.

Honest summary

  • Strength: Long-side execution is materially better than short-side. The

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.
87
Examples
  • xyz:MSFT on May 18, 2026: re-entered at 423.4 after closing at 423.48 (May 18, 2026 prior close); outcome -$0.
  • cash:INTC on May 19, 2026: re-entered at 106.64 after closing at 106.88 (May 19, 2026 prior close); outcome -$17.
+85 more matching cycles
Averaging downAdded size while the position was already moving against the entry.
84
Examples
  • xyz:BRENTOIL on May 18, 2026: added to the position; while it was already moving against entry; outcome $2.
  • xyz:SP500 on May 18, 2026: added to the position; while it was already moving against entry; outcome $52.
+82 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
51
Examples
  • xyz:MU: -$32 realised loss; 32.3x median closed loss.
  • xyz:SP500: -$3 realised loss; 3.3x median closed loss.
+49 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
60
Examples
  • xyz:MU on May 18, 2026: followed a -$1 loss; larger-than-normal size.
  • xyz:XYZ100 on May 18, 2026: followed a -$3 loss; larger-than-normal size.
+58 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.$0.31
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+37.3%
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+42.5%

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.-$133,264
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-5.6%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
6
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$266,527
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-11.0%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
6
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$533,055
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-21.1%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
6

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 18 with $6.3M and ends at May 19 with $6M.Account value (USD)Date$6.5M$6.2M$5.8MMay 18May 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:SILVERlong$36,087$972026-05-19
xyz:DRAMshort$7,292$612026-05-19
xyz:CLshort$170,627$572026-05-19
xyz:SNDKlong$7,987$542026-05-19
xyz:SP500short$84,421$522026-05-18

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:MU29+51.7%-$151
xyz:SILVER26+57.7%$104
xyz:INTC15+53.3%-$77
xyz:SP50020+50.0%$56
xyz:SNDK20+55.0%$43
xyz:DRAM4+50.0%$29
xyz:GOLD9+77.8%$21
xyz:BRENTOIL14+57.1%-$16
xyz:XYZ10020+60.0%$16
xyz:RKLB4+50.0%$12
xyz:NVDA25+60.0%$12
xyz:CL39+59.0%$12
hyna:HYPE1+100.0%$12
xyz:EWY6+83.3%$11
cash:SILVER3+66.7%$10
xyz:NATGAS7+42.9%$6
xyz:CRWV10.0%-$6
hyna:ETH3+33.3%-$6
cash:HOOD19+52.6%$5
xyz:CRCL12+50.0%-$5
xyz:CBRS9+55.6%$5
xyz:COIN7+85.7%$5
cash:TSLA13+69.2%$4
km:SILVER1+100.0%$3
cash:USA5004+75.0%$3
km:US5009+77.8%$3
xyz:AMD2+100.0%$2
xyz:GOOGL6+33.3%$1
xyz:META2+50.0%-$1
cash:INTC21+42.9%$1
xyz:MSFT6+66.7%$1
xyz:HOOD2+100.0%$1
km:USTECH7+57.1%-$1
cash:GOLD3+33.3%-$0
xyz:TSLA2+50.0%-$0
hyna:BTC1+100.0%$0
xyz:AAPL1+100.0%$0
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