RRektrospect

0xeeb56331b6a250fe2dbc123f08bdb87aa9840464

0xeeb5...0464 wallet audit

0xeeb5...0464 audit. -$210 realised trading PnL across 10 closed position cycles, using 1,075 public fills from Jun 23, 2025 to May 11, 2026.

loss-dominatedA quick bucket assigned from realised trading PnL, closed position-cycle count, and whether the public fill source was capped. Data covered: Jun 23, 2025 to May 11, 2026. Classification basis: closed net pnl after fees available window.Jun 23-May 11 dataThis audit used 1,075 public fills covering Jun 23, 2025 to May 11, 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: Jun 23, 2025 to May 11, 2026.-99.7%10 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+20.0%0.21 profit factor
Total volumeGross notional traded across 1,075 reconstructed public fills. A position cycle can contain many individual fills.$1,433,43616 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 $426,358 minus closed trading PnL -$210 = starting estimate $426,568). 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 1,075 public fills covering Jun 23, 2025 to May 11, 2026. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.Jun 23, 2025 to May 11, 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 322 calendar days of visible trading history.

Public fills
1,075
Position cycles
10 closed, 6 open
Limit
public fill cap not hit
Equity curveA historical line showing how the wallet balance moved across the data covered: Jun 23, 2025 to May 11, 2026. It is not a prediction.$426,358
all visible fillsThis audit used 1,075 public fills covering Jun 23, 2025 to May 11, 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 Jun 23 with $427k and ends at May 6 with $426k.Account value (USD)Date$427k$426k$426kJun 23Nov 27May 6
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: 1,075 public fills from Jun 23, 2025 to May 11, 2026; this is the actual visible trading span, not a preset last-week or last-month period.
  • This account is -0.05% net, down $210 on a $426k starting balance, but the headline obscures a catastrophic risk management failure.
  • The account peaked at $7.4m and collapsed to $426k—a 99.71% drawdown—before clawing back to near breakeven through sheer volume.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Visible strength: Shorts work (100% win rate on PUMP, though sample is two episodes). The account correctly identified a short opportunity and executed it with averaging discipline.
  • Visible weakness: Longs are systematically unprofitable (11% win rate, -$222 PnL). The account has no edge on the long side and should not be trading it. The @150 trade is a textbook case of holding a losing position through inaction rather than conviction.
  • Visible weakness: Risk management is absent. Structural stops are either too tight (0.05% on @150) or too wide (3.0% on BTC scalps). The 99.71% drawdown from $7.4m to $426k is not volatility; it is the absence of a stop-loss discipline.
  • Visible weakness: Revenge trading and oversized losers appear in the data. The @150 position was 26% of account notional and was opened after a prior loss, violating basic position-sizing rules.
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

This account is -0.05% net, down $210 on a $426k starting balance, but the headline obscures a catastrophic risk management failure. The account peaked at $7.4m and collapsed to $426k—a 99.71% drawdown—before clawing back to near breakeven through sheer volume. The core problem is structural: long positions have an 11% win rate and bleed money; short positions work (100% win rate on two episodes), but are vastly outnumbered. Fees consumed 51% of realised PnL. The single most important pattern is that this account has no edge on longs and is surviving on luck and position sizing rather than trade selection.

What the data shows

The account opened on 23 June 2025 and has completed 10 closed episodes across 322 days of activity. Realised PnL before fees is $302, but gross fees of $154 reduce net to -$210. The account generated $1.43m in gross volume on a $426k base, indicating heavy leverage and frequent re-entry.

Money was made on exactly one instrument: a single long on #30 (entry 0.7, exit 1.0 on 6 May 2026) yielded $43. Shorts on PUMP (15–16 July 2025, averaged down across four fills from 0.006082 to 0.006246) returned $11. Everything else lost. BTC longs (three episodes) lost $95 combined. @150 long (opened 16 December, closed 4 March 2026) lost $119 and triggered a revenge trade flag after a prior $41 loss on @230. @230 itself lost $41 over 2,987 hours. @166 lost $3.

The long/short split is stark. Longs account for -$222 across nine episodes (11% win rate). Shorts account for +$11 across one episode (100% win rate). The account is fundamentally a long-biased strategy that does not work.

The @150 trade is the structural failure point. Opened at 1.0 on 16 December 2025 with a $112,798 notional position (26% of account), it sat for 1,866 hours before closing at 1.0 for -$119. The structural stop was set at ATR(14,1h) distance—0.05%—which is tighter than the bid-ask spread on many instruments. This trade was flagged as both an oversized loser (5.09× median loss) and a revenge trade following the @230 loss. The position was held through an entire quarter with zero edge.

Trade quality

Win rate is 20% (2 wins from 10 closed). Profit factor is 0.21—for every dollar won, $4.76 was lost. Expectancy is -$21 per episode. The win/loss ratio is 0.83 (average win $27 versus average loss $33). These are the numbers of an account with no edge.

Fees are the secondary killer. At $154 gross paid on $302 realised PnL, fees consumed 51% of gross profit. Maker percentage is 6.33%, indicating mostly taker fills. On a $1.43m gross volume base, the fee drag is material and suggests either poor execution or high churn.

Post-mortems

@150 long, 16 December 2025 to 4 March 2026. Entry 1.0, exit 1.0, -$119 PnL. Position notional peaked at $112,798. Duration 1,866 hours. Flagged as oversized loser (5.09× median loss) and revenge trade. The structural stop was set at 0.05% (ATR-based), which is functionally a no-stop on an illiquid instrument. This trade should never have been held for 78 days at breakeven. The revenge-trade flag indicates it was opened after the @230 loss (-$41 on 28 November), suggesting emotional re-entry rather than systematic re-evaluation.

BTC long, 23 June 2025, 09:23 to 23 June 2025, 09:24. Entry 101,895, exit 101,886, -$49.41 PnL. Position notional $49,999. Duration 0.01 hours. This is a scalp that failed immediately. The structural stop was set at 3.0% (instrument default), which is wide enough to absorb the loss, but the trade was closed in one minute. This pattern repeats: BTC longs are entered and exited within minutes, suggesting reactive rather than directional conviction.

What the risk simulator reveals

Under a 1% hard stop rule, the account would have realised $30,990 PnL with a max drawdown of -3.57%, stopping out 3 episodes early. Under 2%, $61,980 and -7.15% drawdown. Under 4%, $123,960 and -14.29% drawdown. These are gross-of-fees simulations.

The counterfactual is unambiguous: disciplined risk management would have turned this account profitable by an order of magnitude. The actual 99.71% drawdown occurred because positions were held through adverse moves without hard stops. The @150 trade alone—held at breakeven for 1,866 hours with a 0.05% stop—would have been exited within hours under any reasonable risk framework.

Open positions

No open positions at time of analysis.

Honest summary

  • Visible strength: Shorts work (100% win rate on PUMP, though sample is two episodes). The account correctly identified a short opportunity and executed it with averaging discipline.
  • Visible weakness: Longs are systematically unprofitable (11% win rate, -$222 PnL). The account has no edge on the long side and should not be trading it. The @150 trade is a textbook case of holding a losing position through inaction rather than conviction.
  • Visible weakness: Risk management is absent. Structural stops are either too tight (0.05% on @150) or too wide (3.0% on BTC scalps). The 99.71% drawdown from $7.4m to $426k is not volatility; it is the absence of a stop-loss discipline.
  • Visible weakness: Revenge trading and oversized losers appear in the data. The @150 position was 26% of account notional and was opened after a prior loss, violating basic position-sizing rules.
  • Data scope: The account has only 10 closed episodes. Patterns are visible but not yet robust. The long-side weakness is clear; the short-side edge is too small to generalise from.

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
  • PUMP on Jul 15, 2025: added to the position; while it was already moving against entry; outcome $11.
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
1
Examples
  • @150: -$119 realised loss; 5.1x median closed loss.
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
1
Examples
  • @150 on Dec 16, 2025: followed a -$41 loss; larger-than-normal size.
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$21.03
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+51.0%
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+6.3%

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.$30,990
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-3.6%
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.$61,980
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-7.2%
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.$123,961
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-14.3%
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 Jun 23 with $427k and ends at May 6 with $489k.Account value (USD)Date$489k$442k$396kJun 23Nov 27May 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.
#30long$100$432026-05-06
PUMPshort$14,302$112025-07-16

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.
@15010.0%-$119
BTC30.0%-$95
#301+100.0%$43
@23020.0%-$42
PUMP2+50.0%$5
@16610.0%-$3
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