RRektrospect

@jameswynnreal - 0x5078c2fbea2b2ad61bc840bc023e35fce56bedb6

@jameswynnreal wallet audit

@jameswynnreal audit. -$206,582 realised trading PnL across 51 closed position cycles, using the latest 10,000 public fills from Jul 16, 2025 to May 13, 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: Jul 16, 2025 to May 13, 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 Jul 16, 2025 to May 13, 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: Jul 16, 2025 to May 13, 2026.-100.0%51 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+27.4%0.72 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$141,815,77560 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 $1,280 minus closed trading PnL -$206,582 = starting estimate $207,862). 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 Jul 16, 2025 to May 13, 2026. Older trades may exist outside this page, so lifetime claims are avoided.Jul 16, 2025 to May 13, 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
51 closed, 9 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: Jul 16, 2025 to May 13, 2026. It is not a prediction.$1,280
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 Jul 16, 2025 to May 13, 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 Jul 16 with $214k and ends at May 13 with $1.3k.Account value (USD)Date$214k$26k-$162kJul 16Nov 11May 13
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 Jul 16, 2025 to May 13, 2026; older public fills may exist outside this audit because the source hit its cap.
  • This account is down 99.4% in the data covered, having collapsed from a highest balance in this window of $736,642 to a lowest balance in this window of $1.59.
  • The deepest decline in this window was -100%.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Data used: latest 10,000 public fills from Jul 16, 2025 to May 13, 2026; older public fills may exist outside this audit because the source hit its cap.
  • This account is down 99.4% in the data covered, having collapsed from a highest balance in this window of $736,642 to a lowest balance in this window of $1.59.
  • The deepest decline in this window was -100%.
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 down 99.4% in the data covered, having collapsed from a highest balance in this window of $736,642 to a lowest balance in this window of $1.59. The deepest decline in this window was -100%. BTC was the only instrument with edge; everything else—kPEPE, ETH, DOGE, ASTER, HYPE—was loss-making. The account exhibits severe behavioural dysfunction: five separate revenge trades, five averaging-down episodes that compounded losses into catastrophic positions, and two trades (kPEPE on 27 July and ETH on 7 January) that alone account for $391,300 in losses. Fees consumed $55,354 of gross volume, but the core problem is position sizing and loss recovery discipline, not execution cost.

What the data shows

The account opened on 16 July 2025 with approximately $207,862 and reached $736,642 by the same day—a 255% intraday move driven by a single BTC long that ran from entry at $118,309 to exit at $119,002, netting $232,130. This was the account's only clean, unaveraged win of material size. From that highest balance in this window, the account entered a systematic deepest decline in this window. By 6 August, it had fallen to $1.59, a complete wipeout within three weeks.

The loss sequence reveals two distinct failure modes. First, the kPEPE trade opened 27 July at $0.01 per token, was averaged down 12 times to a maximum notional of $3.28 million, and closed 29 July at $0.01, realising -$214,549. The trader then re-entered kPEPE on 25 July (after the 29 July close, suggesting the data window includes overlapping or corrected fills), averaged down again, and lost a further -$37,802. Second, the ETH trade opened 7 January 2026 at $3,252.31, was averaged down twice, reached a notional of $5.33 million, and closed 14 January at $3,138.66, realising -$176,751.

Between these two catastrophes, the account executed five revenge trades: ETH on 23 August following a DOGE loss, BTC on 2 October following a HYPE loss, kPEPE on 5 October following a BTC loss, BTC on 16 October following a kPEPE loss, and kPEPE on 17 October following another kPEPE loss. Three of these revenge trades (BTC on 2 October, BTC on 16 October, kPEPE on 5 October) were oversized losers in their own right, totalling -$137,465 in realised losses.

Long positions account for -$211,880 of realised PnL across 32 episodes with a 21.9% win rate. Short positions account for +$5,297 across 19 episodes with a 36.8% win rate. The asymmetry is stark: the account has no edge on the long side and a marginal edge on the short side, yet 84% of capital was deployed long. BTC alone generated +$212,962 realised PnL across 23 episodes at 39.1% win rate—the only instrument with positive expectancy. Every other instrument was loss-making: kPEPE -$197,893 across 10 episodes at 20% win rate, ETH -$189,626 across 4 episodes at 25% win rate, DOGE -$22,384 across 2 episodes at 0% win rate.

Gross fees paid were $55,354 on $141.8 million in gross volume. The maker percentage was 0.68%, indicating mostly taker fills. Fee drag alone would have been manageable; the realised PnL before fees was -$174,490, meaning fees added only $32,000 to the net loss. The core damage was position sizing and averaging into losers.

Trade quality

Win rate was 27.5% across 51 closed episodes. Profit factor was 0.72, meaning every dollar won generated $1.39 in losses. Expectancy was -$4,051 per trade. Win/loss ratio was 1.89 (average win $37,120 vs. average loss -$19,629), a decent ratio that was overwhelmed by the frequency of losses and the size of the largest losses. The longest loss streak was 10 consecutive closed trades. The longest win streak was 3 trades.

These numbers describe an account with no statistical edge. A 27.5% win rate with a 1.89 win/loss ratio requires an expectancy of approximately -$3,000 per trade to break even after fees; this account's actual expectancy of -$4,051 confirms the account is underwater on a per-trade basis.

Post-mortems

kPEPE long, 27 July – 29 July 2025. Entry at $0.01, exit at $0.01, -$214,549 realised loss. The position was averaged down 12 times to a maximum notional of $3.28 million. The trade lasted 49 hours. A structural stop was set at 5% below entry (instrument default), but the position was allowed to grow to 328x the initial notional, consuming the entire account equity multiple times over. This is not a trade; it is a liquidation event. The averaging-down flag and oversized-loser flag are both present.

ETH long, 7 January – 14 January 2026. Entry at $3,252.31, exit at $3,138.66, -$176,751 realised loss. The position was averaged down twice to a maximum notional of $5.33 million. The trade lasted 180 hours. A structural stop was set at 1.36% below entry (ATR 14 1H), but again the position was allowed to balloon far beyond the initial risk envelope. This trade followed a sequence of losses and exhibits the averaging-down and oversized-loser flags.

BTC long, 2 October – 16 October 2025. Entry price not recorded, exit at $112,192.45, -$65,058 realised loss. Maximum notional $3.87 million. This trade was flagged as a revenge trade following a HYPE loss of -$431.79. The account risked $65,000 to recover $432. Duration 344 hours. Oversized-loser flag present.

BTC long, 16 October – 19 October 2025. Entry price not recorded, exit at $109,585, -$40,365 realised loss. Maximum notional $1.13 million. This was a revenge trade following the previous BTC loss. Duration 75 hours. Oversized-loser flag present.

kPEPE long, 25 July – 25 August 2025. Entry price not recorded, exit at $0.01, -$37,802 realised loss. Maximum notional $381,369. Duration 645 hours. This was the second kPEPE position, opened after the first kPEPE catastrophe closed. Oversized-loser flag present.

What the risk simulator reveals

Under a 1% hard stop rule applied retroactively to all 51 closed episodes, the account would have realised -$3,905 with a maximum decline of -3.32% and a win rate of 9.5%. Under a 2% rule, the loss would have been -$

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.
9
Examples
  • kPEPE on Jul 27, 2025: added to the position; while it was already moving against entry; outcome -$214,549.
  • ETH on Aug 19, 2025: added to the position; while it was already moving against entry; outcome $5,741.
+7 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
14
Examples
  • kPEPE: -$214,549 realised loss; 88.4x median closed loss.
  • kPEPE: -$37,802 realised loss; 15.6x median closed loss.
+12 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
8
Examples
  • ETH on Aug 23, 2025: followed a -$16,861 loss; larger-than-normal size.
  • BTC on Oct 2, 2025: followed a -$432 loss; larger-than-normal size.
+6 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$4,050.63
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.+0.7%

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.-$3,905
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-3.3%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
14
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$7,810
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-6.7%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
14
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$15,619
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-13.3%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
14

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 29 with $149k and ends at May 13 with $141k.Account value (USD)Date$149k$144k$139kAug 29Oct 27May 13

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.
BTClong$24,573,769$232,1302025-08-29
kPEPElong$4,412,567$139,2052026-01-14
BTClong$20,153,208$50,7102026-01-07
BTClong$8,129,393$34,5682026-02-09
BTCshort$2,447,762$20,0582025-12-22

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.
BTC23+39.1%$212,962
kPEPE10+20.0%-$197,893
ETH4+25.0%-$189,626
DOGE20.0%-$22,384
ASTER20.0%-$4,269
HYPE6+33.3%-$2,945
XMR10.0%-$1,532
PUMP10.0%-$834
xyz:SP50020.0%-$61
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