RRektrospect

0xc926ddba8b7617dbc65712f20cf8e1b58b8598d3

0xc926...98d3 wallet audit

0xc926...98d3 audit. $1,150 realised trading PnL across 164 closed position cycles, using the latest 10,000 public fills from May 19, 2026 to Jun 28, 2026; older public fills may exist outside this audit.

profitableA 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 Jun 28, 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 Jun 28, 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 19, 2026 to Jun 28, 2026.-48.7%164 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+36.0%1.06 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$10,556,087223 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 $4,908,883 minus closed trading PnL $1,150 = starting estimate $4,907,733). 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 Jun 28, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 19, 2026 to Jun 28, 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
164 closed, 59 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 Jun 28, 2026. It is not a prediction.$4,908,883
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 Jun 28, 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 $4.9M and ends at Jun 28 with $4.9M.Account value (USD)Date$4.9M$4.9M$4.9MMay 19May 19Jun 28
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 Jun 28, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The account is profitable in this window: +$1,150 (0.02%) on $6.3M gross closed volume.
  • The story is bifurcated.
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 execution and a cluster of well-timed long entries on index-linked instruments (#6600, #6681, #6651, #6590) generated clean, quick wins. These five trades returned $15,966 gross and demonstrate pattern recognition on liquid, lower-volatility pairs.
  • Weakness: Micro-cap long positions (#6571, #6670, #6680, #6650) were oversized, held through catastrophic drawdowns, and often re-entered after losses. The #6571 trade alone—a $27K notional position on a $5M account—cost $15,617 in 13 hours. Averaging-down and FOMO re-entry flags cluster on the same coins, suggesting emotional re-engagement after losses rather than systematic edge.
  • Weakness: Fee drag is severe. At 79% of realised PnL, execution costs are the second-order killer. The account is profitable only because a handful of larger wins offset many small losses and fees. Tighter position sizing or better fill quality would materially improve the outcome.
  • Data scope: Only the most recent 10,000 fills are visible. Earlier account history is not available. The 40-day window shows high volatility and recovery; behaviour and edge assessment are limited to this visible period.
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 profitable in this window: +$1,150 (0.02%) on $6.3M gross closed volume. The story is bifurcated. Shorts and a handful of long index positions generated edge; longs on micro-cap instruments (#6571, #6670, #6680, #6650) destroyed it. A single 13-hour position in #6571 cost $15,617. The deepest decline in this window reached -48.69%, and the account recovered only partially. Fees consumed 79% of realised PnL, leaving execution costs as the second-order killer after position selection.

What the data shows

The account opened on 19 May 2026 and has been active for 40 days across 223 total episodes (164 closed, 59 open). The highest balance in this window was $10.8M on 3 June; the lowest balance was $5.55M on 27 June. That $5.26M swing in 24 days is the dominant feature of the data covered.

Money was made on a narrow set of instruments. The short in xyz:MU (19 May, entry 665.16, exit 671.43) returned $1,528 in 6.5 hours. Long positions in #6600, #6681, #6651, and #6590 returned $5,573, $4,205, $3,935, and $2,253 respectively—all opened 26–27 June and closed within 13–21 hours. These four trades account for $15,966 of gross profit.

Money was lost almost entirely on long micro-cap positions. #6571 (opened 26 June, entry 0.43, exit 0.24) lost $15,617 in 13 hours on a $27,151 notional. #6670 (27 June, entry 0.70, exit 0.40) lost $726 in 15 hours. #6680 (27 June, entry 0.61, exit 0.43) lost $660 in 3.8 hours with averaging-down behaviour. #6650 (28 June, entry 0.41) lost $500 in 4 hours with both averaging-down and FOMO re-entry flags. These four trades account for $17,503 of realised loss.

The long/short split is stark. Longs returned -$715 on a 39% win rate; shorts returned +$1,865 on a 32% win rate. The short edge is real but small in sample size (only one closed short trade visible). Longs dominate the episode count and the loss tally.

Fees paid totalled $323 on $6.3M closed volume (5.2 basis points), but this consumed 79% of the $410 realised PnL after fees. The account would have shown $733 profit before fees; fees reduced it to $410. Maker participation was 32%, suggesting passive fills were the norm.

Trade quality

Win rate is 36%, profit factor 1.06, expectancy $7.01 per closed trade, and win/loss ratio 1.89. These metrics describe an account that wins less than half the time but wins larger when it does. The 1.06 profit factor means gross wins are only 6% larger than gross losses—a thin margin. Expectancy of $7.01 per trade on a $6.3M closed volume base is negligible; the account is essentially break-even on a per-trade basis before fees, and negative after them.

The max loss streak reached 12 consecutive closed trades. The max win streak was 6. Streaks of that length in a 36% win-rate environment are consistent with random walk; no skill signal is evident.

Post-mortems

#6650 (28 June, 4.09 hours, entry 0.41, loss -$500.54): Opened on 28 June with averaging-down, FOMO re-entry, and oversized-loser flags. Max notional was $388. This was a re-entry after a previous close on the same coin. The position was closed at a loss after 4 hours. The structural stop was 4% away; price moved against the position immediately and the trade was exited before the stop could trigger.

#6680 (27 June, 3.79 hours, entry 0.61, exit 0.43, loss -$660.20): Opened 27 June with averaging-down and oversized-loser flags. Max notional reached $2,513. The position was entered, added to, and exited within 3.8 hours at a 30% loss. The structural stop was 4% away; the actual loss was 30%, indicating the position was held through a catastrophic move or the stop was not active.

What the risk simulation reveals

The risk simulator applies fixed stop-loss rules to the historical trade sequence. Under a 1% rule, the account would have realised -$1.12M with a -23.15% deepest decline and 37% win rate. Under a 2% rule, -$2.25M and -46.15%. Under a 4% rule, -$4.50M and -91.72%. The simulator flagged 22 episodes as stopped early across all three scenarios, indicating the fixed stops would have prevented some of the largest losses. The actual deepest decline of -48.69% sits between the 2% and 4% simulated outcomes, suggesting the account's actual stop discipline was closer to 2–3% but inconsistently applied. The simulator is gross of fees; actual results would be worse.

Open positions

One open position dominates: HYPE long, 216.94 size, entry 62.0875, mark 67.473, notional $14,638, unrealised PnL +$1,168 (86.74% ROE), 10x leverage, cross margin, held 13 days since 27 June. No liquidation price is provided; no stop is in place. Funding costs total $54.30. This position is still open; the unrealised PnL is not locked and remains subject to mark-price movement and funding bleed.

Honest summary

  • Strength: Short-side execution and a cluster of well-timed long entries on index-linked instruments (#6600, #6681, #6651, #6590) generated clean, quick wins. These five trades returned $15,966 gross and demonstrate pattern recognition on liquid, lower-volatility pairs.
  • Weakness: Micro-cap long positions (#6571, #6670, #6680, #6650) were oversized, held through catastrophic drawdowns, and often re-entered after losses. The #6571 trade alone—a $27K notional position on a $5M account—cost $15,617 in 13 hours. Averaging-down and FOMO re-entry flags cluster on the same coins, suggesting emotional re-engagement after losses rather than systematic edge.
  • Weakness: Fee drag is severe. At 79% of realised PnL, execution costs are the second-order killer. The account is profitable only because a handful of larger wins offset many small losses and fees. Tighter position sizing or better fill quality would materially improve the outcome.
  • Data scope: Only the most recent 10,000 fills are visible. Earlier account history is not available. The 40-day window shows high volatility and recovery; behaviour and edge assessment are limited to this visible period.

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.
22
Examples
  • xyz:XYZ100 on May 19, 2026: re-entered at 28,976.66 after closing at 28,968.72 (May 19, 2026 prior close); outcome -$4.
  • xyz:XYZ100 on May 19, 2026: re-entered at 28,873.74 after closing at 28,868.58 (May 19, 2026 prior close); outcome -$3.
+20 more matching cycles
Averaging downAdded size while the position was already moving against the entry.
36
Examples
  • xyz:SP500 on May 19, 2026: added to the position; while it was already moving against entry; outcome -$1.
  • xyz:XYZ100 on May 19, 2026: added to the position; while it was already moving against entry; outcome $2.
+34 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
28
Examples
  • xyz:SP500: -$16 realised loss; 5.4x median closed loss.
  • VVV: -$41 realised loss; 14.2x median closed loss.
+26 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
19
Examples
  • xyz:XYZ100 on May 19, 2026: followed a -$1 loss; larger-than-normal size.
  • xyz:XYZ100 on May 19, 2026: followed a -$0 loss; larger-than-normal size.
+17 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.$7.01
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+78.8%
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+32.3%

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.-$1,123,992
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-23.1%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
22
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$2,247,983
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-46.1%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
22
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$4,495,967
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-91.7%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
22

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 $4.9M and ends at Jun 28 with $2.7M.Account value (USD)Date$4.9M$3.8M$2.7MMay 19May 19Jun 28

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.
#6600long$39,475$5,5732026-06-27
#6681long$39,507$4,2052026-06-28
#6651long$13,369$3,9352026-06-28
#6590long$39,908$2,2532026-06-27
xyz:MUshort$229,072$1,5282026-05-19

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.
#657110.0%-$15,617
#66001+100.0%$5,573
#66512+100.0%$4,633
#66811+100.0%$4,205
#65901+100.0%$2,253
xyz:MU1+100.0%$1,528
#667010.0%-$726
#668020.0%-$711
#66504+50.0%-$463
xyz:NATGAS3+66.7%-$413
#66711+100.0%$363
xyz:GOLD1+100.0%$359
cash:INTC6+16.7%$215
xyz:XYZ10064+29.7%-$203
#66612+100.0%$152
#658110.0%-$104
xyz:TSLA10.0%-$89
xyz:AMD1+100.0%$85
VVV20.0%-$81
xyz:NVDA8+37.5%$67
#65801+100.0%$64
#65701+100.0%$62
cash:NVDA1+100.0%$61
xyz:SP50018+22.2%-$57
xyz:SNDK1+100.0%$47
cash:USA50023+30.4%-$39
xyz:DRAM3+100.0%$39
#666010.0%-$31
ETH5+20.0%-$14
cash:TSLA3+33.3%$13
#660110.0%-$12
BTC10.0%-$11
xyz:MSFT1+100.0%$2
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