RRektrospect

0xe4baa9cd51176265ef709a81307f9971030009e6

0xe4ba...09e6 wallet audit

0xe4ba...09e6 audit. -$1,504 realised trading PnL across 1883 closed position cycles, using the latest 10,000 public fills from Aug 13, 2025 to Apr 7, 2026; older public fills may exist outside this audit.

loss-dominatedA quick bucket assigned from realised trading PnL, closed position-cycle count, and whether the public fill source was capped. Data covered: Aug 13, 2025 to Apr 7, 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 Aug 13, 2025 to Apr 7, 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: Aug 13, 2025 to Apr 7, 2026.-99.5%1883 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+31.0%0.62 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$10,166,6471,887 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 $126 minus closed trading PnL -$1,504 = starting estimate $1,630). 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 Aug 13, 2025 to Apr 7, 2026. Older trades may exist outside this page, so lifetime claims are avoided.Aug 13, 2025 to Apr 7, 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
1,883 closed, 4 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: Aug 13, 2025 to Apr 7, 2026. It is not a prediction.$126
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 Aug 13, 2025 to Apr 7, 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 Aug 13 with $1.6k and ends at Feb 23 with $126.Account value (USD)Date$1.6k$824$17Aug 13Aug 15Feb 23
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 Aug 13, 2025 to Apr 7, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The account is down 92.3% ($1,504 in realised losses) across 1,887 closed episodes in the data covered.
  • The deepest decline in this window reached 99.5%, and the highest balance in this window was $25,126 before collapsing to a lowest balance in this window of $126.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Structural unprofitability: A 31% win rate with expectancy of -$0.80 per trade and profit factor of 0.62 indicates the account had no edge. This was not a deepest decline in this window problem; it was a fundamental mismatch between win rate and position sizing.
  • Revenge trading and escalation: Five logged revenge trades, each opened at larger notional size than the preceding loss, combined with five oversized losers (3.3x to 4.3x median loss size). The account systematically increased leverage after losses rather than reducing it.
  • Concentration and leverage: SILVER and BTC account for 1,877 of 1,887 closed episodes. Notional positions reached $45,935 on a starting balance of $1,630, implying 28x leverage. The highest balance in this window of $25,126 was followed by a 99.5% decline, indicating the account was operating at the edge of liquidation.
  • Sample scope: This audit covers only the most recent 10,000 public fills. Earlier account history is not visible, so the full trajectory of this wallet cannot be assessed.
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 down 92.3% ($1,504 in realised losses) across 1,887 closed episodes in the data covered. The deepest decline in this window reached 99.5%, and the highest balance in this window was $25,126 before collapsing to a lowest balance in this window of $126. The core problem is not volatility or bad luck: it is systematic over-leverage combined with revenge trading and position-sizing that scales into losses. Short SILVER positions dominate the damage, and the account exhibits five distinct revenge trades following losses, each opened at larger notional size than the preceding loss warranted.

What the data shows

This account traded 1,883 closed episodes across eight instruments in the data covered, but the story is almost entirely SILVER (689 episodes) and BTC (1,188 episodes). SILVER produced $1,385 in realised losses on a 44.3% win rate; BTC lost $119 on a 23.5% win rate. The long/short split reveals asymmetry: shorts lost $1,239 (30.3% win rate) while longs lost $265 (31.7% win rate), but the real damage came from short-side sizing. The highest balance in this window of $25,126 was reached on 2026-02-25, then fell to $126 by 2026-03-04—a nine-day collapse of $25,000.

Realised PnL sits at -$1,168 after fees. Gross fees paid were $336.73 on $10.2M in notional volume (99.7% maker), so fee drag was material but not the primary driver of loss. The account's win rate of 31% with an expectancy of -$0.80 per trade means the account was structurally unprofitable from the outset. A profit factor of 0.62 confirms this: for every dollar won, the account lost $1.61.

The behavioural data is stark. Five revenge trades are logged, each opened after a loss and each at notional sizes between $297k and $497k. Averaging down appears in five episodes, including a BTC long on 2025-08-14 at 119,941 that accumulated 21 fills and closed at -$0.09. Five FOMO re-entries are recorded on BTC within minutes of closing prior positions, producing net losses of -$0.26 across the five attempts. The account also recorded five oversized losers, each 3.3x to 4.3x the median loss size.

Trade quality

Win rate of 31% is below breakeven for any edge-dependent strategy. Profit factor of 0.62 means the account lost $1.61 for every dollar won. Expectancy of -$0.80 per trade confirms the account was unprofitable on a per-trade basis. The win/loss ratio of 1.38 (average win of $4.24 vs. average loss of -$3.07) is inverted: winners were only 38% larger than losers, which is insufficient to overcome a 31% win rate. A max loss streak of 20 consecutive losses occurred in the data covered, indicating extended periods of no edge.

Post-mortems

SILVER short, 2026-02-06, 74.60 entry to 75.77 exit: -$192.74 loss

This trade opened at 74.60 and closed at 75.77 in 1.39 hours with a max notional position of $18,458. It is flagged as both an oversized loser (3.33x median loss) and a revenge trade following a prior loss. The structural stop (ATR 14 1H) was 5.12% away, meaning the account allowed a 1.17-point adverse move (1.57% of entry) before exiting. This was the single largest loss in the top five.

SILVER short, 2026-02-06, 77.75 entry to 78.14 exit: -$179.95 loss

Opened at 77.75, closed at 78.14 in 0.34 hours with max notional of $35,999. Flagged as oversized loser (4.2x median) and revenge trade. The structural stop was 2.55% away; the account took a 0.39-point loss (0.50% of entry) in 20 minutes. The notional size ($35,999) is 1.95x the prior loss's notional, consistent with escalation after a loss.

SILVER short, 2026-02-06, 75.71 entry to 75.97 exit: -$160.24 loss

Opened and closed on the same day, 0.27 hours duration, max notional $45,935. Oversized loser (3.44x median). Structural stop 3.72% away; actual loss 0.26 points (0.34% of entry). This is the third consecutive short on SILVER within hours, each at escalating notional size.

What the risk simulator reveals

Under a 1% hard stop rule, the account would have produced -$107.89 in realised PnL with a deepest decline in this window of 8.99%, stopping out of 6 episodes early. Under a 2% rule, losses would have doubled to -$215.78 with a deepest decline of 17.95%. Under a 4% rule, losses would have reached -$431.57 with a deepest decline of 35.75%. In all three scenarios, win rate remained at 47.55%, suggesting that hard stops would have prevented the largest losses but also eliminated some winners. The simulator demonstrates that even modest position protection would have reduced the deepest decline in this window from 99.5% to single digits.

Open positions

No open positions at the time of this audit.

Honest summary

  • Structural unprofitability: A 31% win rate with expectancy of -$0.80 per trade and profit factor of 0.62 indicates the account had no edge. This was not a deepest decline in this window problem; it was a fundamental mismatch between win rate and position sizing.
  • Revenge trading and escalation: Five logged revenge trades, each opened at larger notional size than the preceding loss, combined with five oversized losers (3.3x to 4.3x median loss size). The account systematically increased leverage after losses rather than reducing it.
  • Concentration and leverage: SILVER and BTC account for 1,877 of 1,887 closed episodes. Notional positions reached $45,935 on a starting balance of $1,630, implying 28x leverage. The highest balance in this window of $25,126 was followed by a 99.5% decline, indicating the account was operating at the edge of liquidation.
  • Sample scope: This audit covers only the most recent 10,000 public fills. Earlier account history is not visible, so the full trajectory of this wallet cannot be assessed.

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.
296
Examples
  • BTC on Aug 13, 2025: re-entered at 121,681 after closing at 121,770 (Aug 13, 2025 prior close); outcome $0.
  • BTC on Aug 13, 2025: re-entered at 121,630 after closing at 121,637 (Aug 13, 2025 prior close); outcome -$0.
+294 more matching cycles
Averaging downAdded size while the position was already moving against the entry.
208
Examples
  • BTC on Aug 13, 2025: added to the position; while it was already moving against entry; outcome -$0.
  • BTC on Aug 13, 2025: added to the position; while it was already moving against entry; outcome -$0.
+206 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
323
Examples
  • BTC: -$0 realised loss; 3.3x median closed loss.
  • BTC: -$0 realised loss; 4.2x median closed loss.
+321 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
381
Examples
  • BTC on Aug 14, 2025: followed a -$0 loss; larger-than-normal size.
  • BTC on Aug 14, 2025: followed a -$0 loss; larger-than-normal size.
+379 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$0.80
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.+99.7%

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.-$108
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-9.0%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
6
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$216
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-17.9%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
6
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$432
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-35.8%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
6

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 13 with $1.5k and ends at Feb 23 with $1.3k.Account value (USD)Date$1.5k$1.4k$1.2kAug 13Aug 15Feb 23

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:SILVERshort$19,997$2262026-02-06
xyz:SILVERshort$19,535$1572026-02-06
xyz:SILVERlong$18,715$1462026-02-06
xyz:SILVERlong$20,128$1312026-02-06
xyz:SILVERlong$12,221$1112026-02-22

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:SILVER689+44.3%-$1,385
BTC1188+23.5%-$119
cash:USA50010.0%-$0
vntl:SEMIS10.0%-$0
flx:SILVER10.0%-$0
hyna:BTC10.0%-$0
km:SILVER10.0%-$0
@16610.0%$0
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