RRektrospect

0xcb92c5988b1d4f145a7b481690051f03ead23a13

0xcb92...3a13 wallet audit

0xcb92...3a13 audit. -$11,060,271 realised trading PnL across 2 closed position cycles, using the latest 10,000 public fills from May 31, 2025 to Aug 9, 2025; older public fills may exist outside this audit.

limited sampleLimited sample: only 2 closed position cycles are visible in the data covered (May 31, 2025 to Aug 9, 2025). Raw metrics are shown, but behavioural conclusions stay caveated until there are at least 10 closed cycles. 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 31, 2025 to Aug 9, 2025. 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.-$11,060,271latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: May 31, 2025 to Aug 9, 2025. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.-$11,060,271-100.0%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: May 31, 2025 to Aug 9, 2025.-100.0%2 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.0.0%0 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$433,254,1723 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 -$11,060,271 minus closed trading PnL -$11,060,271 = starting estimate $11,060,271). 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 31, 2025 to Aug 9, 2025. Older trades may exist outside this page, so lifetime claims are avoided.May 31, 2025 to Aug 9, 2025

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
2 closed, 1 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 31, 2025 to Aug 9, 2025. It is not a prediction.-$11,060,271
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 31, 2025 to Aug 9, 2025. 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 Jul 9 with $11M and ends at Aug 9 with $0.Account value (USD)Date$11M$5.4M$0Jul 9Aug 9
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 31, 2025 to Aug 9, 2025; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small—two closed episodes and one open position—to draw reliable conclusions about edge or consistency.
  • The account is down $11.06m in the data covered, with both closed trades losing money: an ETH long from 31 May to 9 July (−$283k) and an ETH short from 9 July to 9 August (−$10.78m).
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • The sample is too small to assess consistency or edge. Two closed trades and one open position do not constitute a reliable basis for behavioural or skill inference.
  • Both closed trades lost money despite capturing directional moves in the intended direction, suggesting execution or sizing issues rather than directional misreading.
  • The short trade's $10.78m loss on a 4.9% directional win is the critical
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 sample is too small—two closed episodes and one open position—to draw reliable conclusions about edge or consistency. The account is down $11.06m in the data covered, with both closed trades losing money: an ETH long from 31 May to 9 July (−$283k) and an ETH short from 9 July to 9 August (−$10.78m). Fees consumed $128k of gross volume. No winning trades are recorded in this window.

What the data shows

The data covered spans 70 days and captures two complete ETH episodes. The first trade was a long entry at $2,473.14 on 31 May, held for 952 hours, and exited at $2,753.72 on 9 July. Despite a 11.3% move in the intended direction, the position closed at a loss of $282,962. The second trade reversed to short at $3,534.40 on 9 July and exited at $3,362.47 on 9 August after 731 hours. This short captured a 4.9% directional move but lost $10.78m—the dominant loss driver in the window.

The long trade carried a maximum notional exposure of $134.2m and was flagged for averaging down behaviour. The short trade reached $260.7m notional, nearly double the long's highest balance in this window exposure. Both trades operated with a 3% structural stop distance set at instrument default. Gross trading volume across all episodes totalled $433.3m, with fees of $128,433.87 representing 0.03% of volume—a standard execution cost.

The account currently holds one open position, though the evidence pack does not specify its coin, direction, or notional value. With zero closed wins in the data covered and a 0% win rate across two episodes, the sample is too small to isolate whether losses reflect execution timing, position sizing, directional conviction, or market conditions.

Trade quality

Win rate is 0% across two closed trades. Profit factor is undefined—no winning trades exist to offset losses. Expectancy is negative: the average closed trade lost $5.52m. Gross fees paid were $128,433.87 against $433.3m in volume. The net fee drag of $128,433.87 is material relative to the long trade's loss but negligible relative to the short trade's magnitude.

Post-mortems

ETH long, 31 May to 9 July 2025. Entry at $2,473.14, exit at $2,753.72, notional highest balance in this window $134.2m, loss $282,962. The trade captured an 11.3% directional move in the long direction but closed underwater. The behavioural flag indicates averaging down during the hold. A 3% structural stop was set but not triggered.

ETH short, 9 July to 9 August 2025. Entry at $3,534.40, exit at $3,362.47, notional highest balance in this window $260.7m, loss $10,777,308. The short captured a 4.9% move in the intended direction but suffered a catastrophic loss. This trade accounts for 97.4% of the total loss in the data covered. No averaging or structural stop breach is flagged.

Open positions

One open position is recorded in the evidence pack but lacks coin, direction, notional, and entry details. No stop placement is specified.

Honest summary

  • The sample is too small to assess consistency or edge. Two closed trades and one open position do not constitute a reliable basis for behavioural or skill inference.
  • Both closed trades lost money despite capturing directional moves in the intended direction, suggesting execution or sizing issues rather than directional misreading.
  • The short trade's $10.78m loss on a 4.9% directional win is the critical

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.
0

No matching position cycles in the data covered.

Averaging downAdded size while the position was already moving against the entry.
1
Examples
  • ETH on May 31, 2025: added to the position; while it was already moving against entry; outcome -$282,962.
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
0

No matching position cycles in the data covered.

Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
0

No matching position cycles in the data covered.

ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$5,530,135.33
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.+44.9%

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.$6,837
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-1.3%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
1
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.$13,675
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-2.6%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
1
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.$27,350
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-5.2%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
1

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 Jul 9 with $11M and ends at Aug 4 with $11M.Account value (USD)Date$11M$11M$11MJul 9Aug 4

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.

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.
ETH20.0%-$11,060,271
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