RRektrospect

0xe4c6ae25959d7fc66cf2dd5965fb78c5e09c4048

0xe4c6...4048 wallet audit

0xe4c6...4048 audit. -$435,204 realised trading PnL across 9 closed position cycles, using 3,306 public fills from Aug 4, 2025 to Jun 24, 2026.

limited sampleLimited sample: only 9 closed position cycles are visible in the data covered (Aug 4, 2025 to Jun 24, 2026). 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.Aug 4-Jun 24 dataThis audit used 3,306 public fills covering Aug 4, 2025 to Jun 24, 2026. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.
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: Aug 4, 2025 to Jun 24, 2026.-100.0%9 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+66.7%0.35 profit factor
Total volumeGross notional traded across 3,306 reconstructed public fills. A position cycle can contain many individual fills.$38,196,26613 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 $13,360 minus closed trading PnL -$435,204 = starting estimate $448,564). 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.

Data coveredThis audit used 3,306 public fills covering Aug 4, 2025 to Jun 24, 2026. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.Aug 4, 2025 to Jun 24, 2026

This is not a fixed last-week or last-month period. It is the actual span covered by the public fills used for this wallet, so the page should be read as 324 calendar days of visible trading history.

Public fills
3,306
Position cycles
9 closed, 4 open
Limit
public fill cap not hit
Equity curveA historical line showing how the wallet balance moved across the data covered: Aug 4, 2025 to Jun 24, 2026. It is not a prediction.$13,360
all visible fillsThis audit used 3,306 public fills covering Aug 4, 2025 to Jun 24, 2026. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.
Equity curve by date and account valueX-axis shows date. Y-axis shows account value in US dollars. The line starts at Aug 5 with $449k and ends at Jun 5 with $13k.Account value (USD)Date$674k$344k$13kAug 5Mar 16Jun 5
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: 3,306 public fills from Aug 4, 2025 to Jun 24, 2026; this is the actual visible trading span, not a preset last-week or last-month period.
  • The sample is too small to draw reliable conclusions about this account's edge or approach.
  • Nine closed episodes across four instruments over 324 days leaves limited sample for behavioural analysis.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Three of four instruments (GOLD, ETH, BTC) show positive realised PnL; the edge exists in those coins.
  • One catastrophic loss (
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

The sample is too small to draw reliable conclusions about this account's edge or approach. Nine closed episodes across four instruments over 324 days leaves limited sample for behavioural analysis. The account is down 97.0% ($435,204 realised loss) on $37.6M gross volume, but with only nine closed trades, individual outliers dominate the narrative. A single short XYZ100 position—opened 14 April 2026, closed 5 June 2026—accounts for $660,289 of the loss. The sample is too small to separate signal from noise.

What the data shows

The account opened on 4 August 2025 and has completed nine closed episodes. Four instruments show activity: XYZ100 (2 episodes, -$661k), GOLD (1 episode, +$115k), ETH (2 episodes, +$62k), and BTC (3 episodes, +$43k). Realised PnL after fees stands at -$424,654. Gross fees paid were $4,068 on $38.2M gross volume, a fee ratio of 0.01%.

The largest loss is the XYZ100 short entered at 25,713.98 on 14 April 2026 and exited at 29,882.09 on 5 June 2026, a 52-day hold that lost $660,289 on a $4.7M notional position. The trade flagged averaging down and oversized loser behaviour. The structural stop (ATR 14, 1H) was set only 0.34% away, suggesting tight risk management intent that was not honoured during the hold.

The largest win is the GOLD long entered at 4,190.13 on 23 March 2026 and exited at 4,402.02 the same day, a 3.7-hour hold that gained $115,446 on a $2.4M notional position. This trade also flagged averaging down. The second-largest win is the ETH short entered at 2,286.07 on 5 August 2025 and exited at 2,279.45 on 18 March 2026, a 226-day hold that gained $62,064 on a $2.75M notional position, flagged as a FOMO re-entry.

Trade quality

Win rate is 66.67% (6 wins, 3 losses across nine closed episodes). Profit factor is 0.82—total wins divided by total losses. Expectancy is negative: average realised PnL per closed trade is -$47,184. The account is profitable on three of four instruments (GOLD, ETH, BTC) but the XYZ100 short loss overwhelms the combined edge from the other three.

Post-mortems

XYZ100 short, 14 April – 5 June 2026: Entered at 25,713.98, exited at 29,882.09. Loss of $660,289 on $4.7M notional. The trade moved against entry immediately (MAE -15.09%), was held for 1,246 hours, and closed with a structural stop 0.34% away. Flags: averaging down and oversized loser. This single trade consumed all gains from the other eight closed episodes combined.

BTC long, 11 March 2026: Entered at 69,981.27, exited at 69,672.71 after 0.41 hours. Loss of $8,300 on $2.01M notional. Structural stop was 1.65% away. No behavioural flags. This was a scalp that failed.

Honest summary

  • Three of four instruments (GOLD, ETH, BTC) show positive realised PnL; the edge exists in those coins.
  • One catastrophic loss (

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.
1
Examples
  • ETH on Aug 5, 2025: re-entered at 2,286.07 after closing at 3,606 (Aug 5, 2025 prior close); outcome $62,064.
Averaging downAdded size while the position was already moving against the entry.
4
Examples
  • ETH on Aug 4, 2025: added to the position; while it was already moving against entry; outcome $327.
  • xyz:MU on Mar 7, 2026: added to the position; while it was already moving against entry; outcome $4,552.
+2 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
1
Examples
  • xyz:XYZ100: -$660,289 realised loss; 79.6x median closed loss.
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.-$48,356.02
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.+39.4%

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.-$1,387
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-3.4%
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.-$2,775
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-6.8%
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.-$5,549
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-13.6%
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 Aug 5 with $449k and ends at May 6 with $445k.Account value (USD)Date$468k$443k$418kAug 5Mar 11May 6

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:GOLDlong$2,436,641$115,4462026-03-23
ETHshort$2,754,240$62,0642026-03-18
BTClong$3,686,100$39,9872026-03-13
BTCshort$2,948,000$11,7762026-03-16
xyz:MUlong$486,508$4,5522026-03-09

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:XYZ10020.0%-$661,057
xyz:GOLD1+100.0%$115,446
ETH2+100.0%$62,391
BTC3+66.7%$43,463
xyz:MU1+100.0%$4,552
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