RRektrospect

0x023a3d058020fb76cca98f01b3c48c8938a22355

0x023a...2355 wallet audit

0x023a...2355 audit. $87,625 realised trading PnL across 25 closed position cycles, using the latest 10,000 public fills from May 15, 2026 to May 19, 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 15, 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 15, 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 15, 2026 to May 19, 2026.-0.1%25 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+68.0%8.15 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$22,892,283106 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 $13,401,759 minus closed trading PnL $87,625 = starting estimate $13,314,134). 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 15, 2026 to May 19, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 15, 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
25 closed, 81 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 15, 2026 to May 19, 2026. It is not a prediction.$13,401,759
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 15, 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 15 with $13M and ends at May 19 with $13M.Account value (USD)Date$13M$13M$13MMay 15May 18May 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 15, 2026 to May 19, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The account is profitable in this window: +0.66% net PnL ($87,624.87 on a $13.3M starting balance), but the headline masks severe behavioural fragility.
  • Short-side edge in ETH and BTC generated $99,845 in realised gains; long-side attempts lost $12,220.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Genuine short-side edge visible. ETH and BTC shorts were well-timed, large, and profitable. The 93.33% short-side win rate and $99,845 in short PnL show the trader can identify directional moves in liquid instruments.
  • Revenge trading and position-sizing collapse after losses. The CBRS trade was 46× the median loss and opened within hours of a $243 loss. ONDO was re-entered at a lower price after a closed loss. Both trades were oversized relative to the account's loss tolerance and lacked mechanical stops.
  • No stops on any open position despite demonstrated tactical losses. Five open positions with leverage (5–40×) carry zero stop orders. The account has proven it can lose $10,701 in 47 minutes; the current open book is undefended.
  • Sample is too small for long-term pattern inference. Three days of trading history, 106 closed episodes, and a hit on the 10k-fill cap mean this window is a snapshot, not a track record. The profitability is real but contingent on two large shorts; the behavioural flags (revenge trades, re-entries, oversized losers) are visible but may not persist.
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: +0.66% net PnL ($87,624.87 on a $13.3M starting balance), but the headline masks severe behavioural fragility. Short-side edge in ETH and BTC generated $99,845 in realised gains; long-side attempts lost $12,220. The single largest loss—a $10,701 revenge trade in CBRS opened 46.67 times the median loss size—was closed in 47 minutes. The deepest decline in this window was -0.08%, but the account carries five open positions with no stops in place and $1,414 in unrealised losses across them.

What the data shows

This is a short-biased account that found genuine edge in directional shorts on large-cap instruments. The ETH short opened 15 May at 2221.41 and closed the same day, returning $93,109 on a $2.84M notional position in 4.4 hours. A BTC short opened 15 May and held 56.5 hours, closing 18 May at 79,127.26 for $3,314. These two trades account for 96.5% of realised PnL. The short-side win rate is 93.33% across 15 episodes; the long-side win rate is 30% across 10 episodes.

The account then deteriorated into tactical errors. After a $243.67 loss on an ETH long (15–18 May, entry 2222.7, exit 2121.3), the trader opened a $81,770 notional long in CBRS on 16 May at 16:45 UTC and exited 47 minutes later at 271.62, realising -$10,701. This was flagged as both an oversized loser (46.67× median loss) and a revenge trade. The CBRS position was 1.3× the account's starting balance at entry. The structural stop was 4% away; the position was never given room to breathe.

ONDO produced a second behavioural pattern: re-entry after a closed loss. The trader closed an ONDO long on 19 May at 05:37 UTC at 0.3951, losing $504.24. Six hours later, at 11:58 UTC, the same coin was re-entered at 0.3648 (lower price, same direction) with a $42,519 notional position. This re-entry closed the same day at 0.37, recovering $159.14 of the prior loss but leaving the net ONDO record at -$308.19 across five episodes.

Fees are negligible: $67.28 net drag on $73,624 realised PnL (0.62% fee-to-PnL ratio). The account is 60.62% maker, indicating passive order placement and good execution discipline on entry. Gross volume was $22.9M across 106 closed episodes in three days.

Trade quality

Win rate is 68% across 25 closed episodes. Profit factor is 8.15 (average win $5,876 vs. average loss $1,533). Expectancy is $3,505 per closed trade. Win/loss ratio is 3.83:1. These are strong headline metrics, but they are entirely driven by two outsized shorts. Excluding the ETH and BTC shorts, the remaining 23 closed trades show a win rate of 60.9%, average win of $1,209, and average loss of $1,532—a breakeven-to-slightly-negative profile. The account is profitable only because two large, well-timed short positions offset subsequent tactical losses and re-entries.

Post-mortems

CBRS long, 16 May 16:45–17:33 UTC. Entry price not recorded; exit at 271.62. Position notional $81,769.61, closed in 47 minutes for -$10,701.47. This trade was opened immediately after the $243.67 ETH loss and flagged as a revenge trade. The position size was 46.67 times the median loss in the account, suggesting a sharp loss of discipline. A 4% structural stop was available but not used. The trade moved against the account from entry and was exited at market.

ONDO long, 19 May 05:43–11:58 UTC (re-entry). First entry at 0.3951 on 19 May 05:37 UTC, closed at loss. Re-entry at 0.3648 on 19 May 11:58 UTC (6 hours later), same direction, notional $42,519.42. Exit at 0.37 on 19 May 11:58 UTC for -$504.24. A 4% structural stop was in place but not triggered. The re-entry was at a lower price than the prior close, suggesting the trader was averaging down after a loss rather than waiting for a fresh signal.

What the risk simulator reveals

Under a 1% stop-loss rule applied historically, the account would have realised $303,023 PnL with a deepest decline of -1.95%. Under 2%, $606,046 with -3.76%. Under 4%, $1,212,092 with -7.03%. The simulator flagged three episodes stopped early, indicating positions that would have hit the stop before closing naturally. The win rate across all simulated scenarios is 69.23%, slightly above the actual 68%. These counterfactuals show that mechanical stops would have prevented the CBRS catastrophe and the ONDO re-entry, converting a profitable-but-fragile account into a substantially more profitable one.

Open positions

Five open positions carry no stops. ETH long (entry 2115.35, leverage 25) is underwater -$1,012.50. BTC short (entry 76,633.2, leverage 40) is underwater -$401.83. ATOM long (entry 2.0514, leverage 5) is slightly profitable at +$18.21. DYDX short (entry 0.13989, leverage 5) is underwater -$13.63. SOL long (entry 84.5989, leverage 20) is flat at +$0.34. The ETH position is the largest unrealised loss and carries 25× leverage. None of these positions have defined exit rules or downside boundaries.

Honest summary

  • Genuine short-side edge visible. ETH and BTC shorts were well-timed, large, and profitable. The 93.33% short-side win rate and $99,845 in short PnL show the trader can identify directional moves in liquid instruments.
  • Revenge trading and position-sizing collapse after losses. The CBRS trade was 46× the median loss and opened within hours of a $243 loss. ONDO was re-entered at a lower price after a closed loss. Both trades were oversized relative to the account's loss tolerance and lacked mechanical stops.
  • No stops on any open position despite demonstrated tactical losses. Five open positions with leverage (5–40×) carry zero stop orders. The account has proven it can lose $10,701 in 47 minutes; the current open book is undefended.
  • Sample is too small for long-term pattern inference. Three days of trading history, 106 closed episodes, and a hit on the 10k-fill cap mean this window is a snapshot, not a track record. The profitability is real but contingent on two large shorts; the behavioural flags (revenge trades, re-entries, oversized losers) are visible but may not persist.

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.
2
Examples
  • ONDO on May 19, 2026: re-entered at 0.36 after closing at 0.4 (May 19, 2026 prior close); outcome $159.
  • ONDO on May 19, 2026: re-entered at 0.4 after closing at 0.4 (May 19, 2026 prior close); outcome -$504.
Averaging downAdded size while the position was already moving against the entry.
3
Examples
  • xyz:BRENTOIL on May 18, 2026: added to the position; while it was already moving against entry; outcome $191.
  • ETH on May 19, 2026: added to the position; while it was already moving against entry; outcome $6.
+1 more matching cycle
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
1
Examples
  • xyz:CBRS: -$10,701 realised loss; 46.7x median closed loss.
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
3
Examples
  • xyz:CBRS on May 16, 2026: followed a -$244 loss; larger-than-normal size.
  • MORPHO on May 17, 2026: followed a -$25 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.$3,504.99
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+0.6%
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+60.6%

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.$303,023
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-1.9%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
3
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.$606,046
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-3.8%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
3
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.$1,212,092
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-7.0%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
3

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 $13M and ends at May 19 with $14M.Account value (USD)Date$14M$14M$13MMay 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.
ETHshort$2,843,805$93,1092026-05-15
BTCshort$538,421$3,3142026-05-18
MORPHOshort$38,951$1,9002026-05-17
MONshort$8,013$7772026-05-18
ZECshort$23,244$2432026-05-19

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.
ETH3+66.7%$92,871
xyz:CBRS10.0%-$10,701
BTC2+100.0%$3,367
MORPHO1+100.0%$1,900
MON1+100.0%$777
hyna:BTC2+50.0%-$368
ONDO5+80.0%-$308
ZEC1+100.0%$243
hyna:SOL20.0%-$239
XRP10.0%-$192
xyz:BRENTOIL1+100.0%$191
PUMP1+100.0%$45
STX1+100.0%$38
TRX1+100.0%$7
AAVE10.0%-$6
AR1+100.0%$1
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