0xf5d81a135f756ca16544e53c20fc20643ec3ad53
0xf5d8...ad53 audit. -$2,126 realised trading PnL across 112 closed position cycles, using the latest 10,000 public fills from May 18, 2026 to May 19, 2026; older public fills may exist outside this audit.
The dollar PnL is the realised result from closed trades in the data covered. The percentage uses an inferred starting value (current account value $856,545 minus closed trading PnL -$2,126 = starting estimate $858,671). 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.
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.
Only the most recent public fills are visible, so this audit covers the data covered rather than full account history. This account is loss-making: –0.25% in the data covered, –$2,125.75 in realised PnL after fees. The deepest decline in this window was –0.27%. The core pattern is revenge trading and position-sizing escalation after losses. Four of the five largest losses are flagged as revenge trades, and the two worst trades—a $752 short HYPE and a $434 long HYPE—were opened immediately after prior losses on the same coin. Fees consumed $821.76 of gross volume, but the underlying trading logic is the real cost.
This is a 1-day-old account with 112 closed episodes and 18 open positions across 12 coins. The account opened with approximately $858,671 and stands at $856,545, a net loss of $2,126 after fees. Realised PnL is –$1,178, and net fee drag is $822, meaning fees account for roughly 70% of the total loss. The account is not fee-efficient—47.71% maker fill rate suggests passive order placement, but gross volume of $13.36M against a $858k starting balance indicates heavy leverage and rapid turnover.
Long and short sides are nearly symmetrical in damage: longs lost $1,018, shorts lost $1,108. Long win rate is 47%, short win rate is 37%, so neither direction shows edge. The account has won 41.96% of trades but the profit factor is 0.19—for every dollar won, the account loses $5.26. Average win is $10.93; average loss is $40.61. This 3.7x loss-to-win ratio is the mechanical signature of the revenge-trade pattern.
By instrument, only three coins show any edge: SUI (5 episodes, +$24.66, 80% win rate), FARTCOIN (9 episodes, +$12.45, 44% win rate), and TAO (1 episode, +$7.78, 100% win rate). Every other coin is underwater. HYPE alone accounts for –$1,540 across 6 episodes (17% win rate). ZEC is –$249 across 16 episodes. BTC is –$239 across 6 episodes. The account is chasing losers, not trading winners.
Win rate 41.96%, profit factor 0.19, expectancy –$18.98 per trade. These numbers mean the account is losing money on average per closed trade, and losses are substantially larger than wins. The win/loss ratio of 0.27 confirms that even when the account wins, it wins small; when it loses, it loses large. Gross fees paid are $1,025.26; net fee drag is $821.76, indicating a small net rebate from maker activity. However, fees are secondary to the underlying negative expectancy.
ZEC long, 18 May 12:03 to 19 May 12:25 (23.81 hours), entry $531.54, exit $562.03, –$185.17 loss.
Flagged as averaging down, oversized loser, and revenge trade. Opened immediately after a $12.63 loss on TON. The position reached $31,542 notional at 3x leverage. Entry was below the structural stop (4% default), but the trade moved 5.53% against the entry before closing 6.28% in favour. The exit was taken at a loss despite the position being in profit at one point. This is classic revenge-trade escalation: after a small loss, the account sized up to $31k notional on a single coin and exited at a loss despite favourable price action.
HYPE short, 18 May 12:01 to 19 May 05:54 (17.89 hours), entry $45.63, exit $47.38, –$752.18 loss.
Flagged as oversized loser and revenge trade. Opened immediately after a $44.61 loss on BTC. Position size was $203,324 notional at 3x leverage—the largest single loss in the data covered. The trade moved 5.19% against the entry and never recovered. This is the single clearest example of revenge escalation: a $45 loss on BTC triggered a $752 loss on HYPE within minutes, with position size more than 4x the prior loss.
Under a 1% stop-loss rule applied historically, the account would have realised –$5,184 with a max decline of –2.83% and a 56.86% win rate. Under 2%, –$10,368 and –5.6% decline. Under 4%, –$20,736 and –10.96% decline. The simulator is gross of fees. These counterfactuals show that tighter stops would have prevented the largest losses but also increased the frequency of stopped-out trades. The 56.86% win rate under all three rules suggests that the account's real problem is not entry quality but position sizing and exit discipline. Smaller, more frequent losses would have been preferable to the current pattern of large, infrequent catastrophes.
Five open positions are held: BTC long $331 unrealised, ETH long $58 unrealised, SOL long $0 unrealised, DOGE long $6 unrealised, and SUI short –$0.32 unrealised. All are at 3x leverage. None have stops in place. The BTC and ETH positions are the only material unrealised gains, but both are unhedged and unprotected. The account is currently long-biased across four of five positions.
Expectancy is not a forecast. It is the historical average result per closed position cycle in this reconstructed sample.
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.
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.