RRektrospect

0x94d3735543ecb3d339064151118644501c933814

0x94d3...3814 wallet audit

0x94d3...3814 audit. -$829,335 realised trading PnL across 15 closed position cycles, using the latest 10,000 public fills from Apr 9, 2026 to May 19, 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: Apr 9, 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 Apr 9, 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: Apr 9, 2026 to May 19, 2026.-99.0%15 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+53.3%0.02 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$144,878,66118 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 $58,614 minus closed trading PnL -$829,335 = starting estimate $887,949). 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 Apr 9, 2026 to May 19, 2026. Older trades may exist outside this page, so lifetime claims are avoided.Apr 9, 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
15 closed, 3 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: Apr 9, 2026 to May 19, 2026. It is not a prediction.$58,614
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 Apr 9, 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 Apr 9 with $888k and ends at May 19 with $59k.Account value (USD)Date$888k$465k$42kApr 9May 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 Apr 9, 2026 to May 19, 2026; older public fills may exist outside this audit because the source hit its cap.
  • This account is -93.4% in the data covered, having started with approximately $888k and fallen to $58.6k.
  • The highest balance in this window reached $2.74m on 15 April before the deepest decline in this window compressed the account to $27k on 14 May.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Visible strength: ETH trades show consistent edge—100% win rate on three closed episodes, $6.7k realised profit, and the ability to average down and still exit profitably on at
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. This account is -93.4% in the data covered, having started with approximately $888k and fallen to $58.6k. The highest balance in this window reached $2.74m on 15 April before the deepest decline in this window compressed the account to $27k on 14 May. The headline pattern is catastrophic: two oversized BTC shorts and one oversized BTC long consumed $846k in realised losses across 15 closed trades, while a 53% win rate on small winners and a 0.02 profit factor mask the fact that the account is mechanically insolvent on position sizing and leverage discipline.

What the data shows

The account opened on 9 April with $888k and immediately deployed extreme leverage into BTC shorts. The first trade—a short from 72,537 to 76,765 opened on 9 April and closed on 24 April—lost $515k on a notional position of $100.9m, a 298× multiple of the median loss size. This single trade consumed 62% of the starting capital. The structural ATR-based stop was set at 0.76% away from entry, yet the position was held through a 4.2% adverse move, suggesting either the stop was not respected or position size was set without regard to the stop distance.

Four days later, on 24 April, the account entered a long BTC position at 77,528, which fell to a 2.13% deepest decline in this window before recovering to a 6.8% gain. The trader exited on 12 May at 79,373, locking in a $322k loss despite the position being in profit at one point. The notional was $12.9m on $887k starting capital—a 14.5× leverage deployment that turned a winning trade into the second-largest loss in the window.

On 12 May, the account took a 5-hour BTC long from 80,675 to 80,476, losing $8k on $1m notional. By 15 May, after three consecutive losing trades, the account had fallen from $2.74m to $27k—a 99% decline in five days. The trader then re-entered a BTC short on 15 May at 79,256, closed it on 18 May at 77,394, and lost $1.7k. This trade is flagged as a FOMO re-entry following the previous close at 79,640 just 9 seconds earlier.

ETH trades were the only consistent edge: three closed episodes with 100% win rate and $6.7k realised profit. The largest ETH win was a short from 2,139 to 2,135 on 18–19 May, closed at $1.6k profit after 13 averaging-down events. The second-largest was a short from entry price null to 2,120 on 19 May, $3.5k profit in 12 hours.

BTC, by contrast, shows no edge: 11 episodes, 45% win rate, -$836k realised PnL. Longs lost $328k; shorts lost $508k. The account paid $43.4k in gross fees on $144.9m notional volume, a 0.03% blended rate consistent with a maker-heavy execution (0.21% maker). Net fee drag was $43.4k, or 5.5% of the realised loss magnitude.

Trade quality

Win rate of 53.33% is misleading: the account won 8 of 15 trades but the average win was $2,339 while the average loss was -$121,149. Profit factor of 0.02 means every dollar of gross profit was offset by $50 of gross loss. Expectancy of -$55,289 per trade reflects the catastrophic asymmetry. Win/loss ratio of 0.02 is the ratio of average win to average loss, confirming that the account's few winners cannot offset its few but massive losers. The max loss streak of 4 consecutive losses occurred during the 12–15 May collapse.

Post-mortems

BTC short, 9–24 April, entry 72,537, exit 76,765, -$515,163. This trade opened at the highest balance point in the window and represents the single largest loss. The position reached $100.9m notional on a $888k account, a 113× leverage ratio. The structural ATR stop was 0.76% away; the trade moved 5.8% against the entry before closing. The trade was held for 374 hours despite the stop being breached early. No evidence of a hard stop execution.

BTC long, 24 April–12 May, entry 77,528, exit 79,373, -$322,891. Opened four days after the first catastrophe, this trade was in profit by 6.8% at its best point but exited at a 2.37% gain, locking in a $322k loss on $12.9m notional. The structural stop was 0.79% away; the trade experienced a 2.13% adverse excursion before recovering. The exit occurred on 12 May, the same day as the third oversized loss and one day before the account fell to its lowest balance.

BTC short, 15–18 May, entry 79,256, exit 77,394, -$1,729. Flagged as a FOMO re-entry, this trade was opened 9 seconds after closing the previous BTC short at 79,640. The account had just fallen from $2.74m to $27k. The trade lost $1.7k on $1.5m notional, a minor loss in absolute terms but symptomatic of re-engagement after catastrophic deepest decline in this window.

ETH short, 18–19 May, entry 2,139, exit 2,135, +$1,590. This trade was the only profitable multi-day position and was entered after 13 averaging-down events. The position reached $1.2m notional and closed with a 0.48% maximum favourable excursion. It is the only trade in the top wins that shows averaging-down behaviour and still delivered profit.

What the risk simulator reveals

Under a 1% hard stop rule applied historically, the account would have realised -$106,240 with a 57% win rate and a deepest decline in this window of -13.21%. Under a 2% rule, simulated loss would be -$212,480 with a -26.43% deepest decline. Under a 4% rule, simulated loss would be -$424,961 with a -52.86% deepest decline. The simulator stopped one episode early under all three rules, indicating at least one trade would have been liquidated or margin-called before closing naturally. The actual loss of -$829,335 is nearly 2× the 4% rule outcome, confirming that the account operated with no meaningful stop discipline and allowed positions to run far beyond any rational risk boundary.

Open positions

The account holds two short positions with no stops in place. BTC short at 76,435 with 40× leverage is down $4,130 unrealised. ETH short at 2,116 with 25× leverage is down $356 unrealised. Neither position has a stop price recorded. Both are still open and the outcome is unknown until closed. The BTC position carries extreme downside risk given the 40× leverage and the absence of a protective stop.

Honest summary

  • Visible strength: ETH trades show consistent edge—100% win rate on three closed episodes, $6.7k realised profit, and the ability to average down and still exit profitably on at

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
  • BTC on May 15, 2026: re-entered at 79,256 after closing at 79,639.88 (May 15, 2026 prior close); outcome -$1,729.
Averaging downAdded size while the position was already moving against the entry.
2
Examples
  • xyz:SP500 on Apr 9, 2026: added to the position; while it was already moving against entry; outcome -$186.
  • ETH on May 18, 2026: added to the position; while it was already moving against entry; outcome $1,590.
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
3
Examples
  • BTC: -$515,163 realised loss; 298x median closed loss.
  • BTC: -$322,891 realised loss; 186.8x median closed loss.
+1 more matching cycle
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.-$55,289.01
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.+0.2%

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.-$106,240
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-13.2%
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.-$212,480
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-26.4%
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.-$424,961
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-52.9%
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 Apr 11 with $698k and ends at May 19 with $679k.Account value (USD)Date$698k$677k$656kApr 11May 18May 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.
BTCshort$1,495,253$8,0912026-05-15
ETHshort$901,973$3,5442026-05-19
BTClong$437,112$3,1352026-05-15
ETHlong$482,099$1,6112026-05-19
ETHshort$1,199,943$1,5902026-05-19

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.
BTC11+45.5%-$835,894
ETH3+100.0%$6,745
xyz:SP50010.0%-$186
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