RRektrospect

0x53babe76166eae33c861aeddf9ce89af20311cd0

0x53ba...1cd0 wallet audit

0x53ba...1cd0 audit. -$69,407 realised trading PnL across 28 closed position cycles, using the latest 10,000 public fills from May 15, 2026 to Jul 10, 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: May 15, 2026 to Jul 10, 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 May 15, 2026 to Jul 10, 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: May 15, 2026 to Jul 10, 2026.-79.9%28 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+14.3%0.06 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$104,955,36440 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 $59,714 minus closed trading PnL -$69,407 = starting estimate $129,121). 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 May 15, 2026 to Jul 10, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 15, 2026 to Jul 10, 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
28 closed, 12 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 15, 2026 to Jul 10, 2026. It is not a prediction.$59,714
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 May 15, 2026 to Jul 10, 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 May 15 with $129k and ends at Jul 10 with $60k.Account value (USD)Date$129k$94k$59kMay 15May 17Jul 10
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 May 15, 2026 to Jul 10, 2026; older public fills may exist outside this audit because the source hit its cap.
  • This account is loss-making in the data covered: -53.75% realised PnL, -$69,406.75 in absolute terms.
  • The highest balance in this window was $228,248 on 3 June; the lowest was $45,883 on 28 June, a deepest decline in this window of -79.9%.
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 May 15, 2026 to Jul 10, 2026; older public fills may exist outside this audit because the source hit its cap.
  • This account is loss-making in the data covered: -53.75% realised PnL, -$69,406.75 in absolute terms.
  • The highest balance in this window was $228,248 on 3 June; the lowest was $45,883 on 28 June, a deepest decline in this window of -79.9%.
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 loss-making in the data covered: -53.75% realised PnL, -$69,406.75 in absolute terms. The highest balance in this window was $228,248 on 3 June; the lowest was $45,883 on 28 June, a deepest decline in this window of -79.9%. The core failure is structural: a 14.29% win rate, a profit factor of 0.06, and an expectancy of -$2,478.81 per closed trade. Four oversized losses—BTC at -$49,409, ONDO at -$3,207, and two HYPE trades totalling -$5,934—account for 85% of realised losses. The account has no edge on any instrument except TON and JTO, which together generated $2,532.60 against $88,560 in total closed losses.

What the data shows

The account opened on 15 May 2026 and has completed 28 closed trades in the data covered, with 12 positions currently open. The trajectory is sharply negative: the account began with an estimated $129,120 and is now at $59,714, having burned through $69,406 in realised losses plus $26,494 in fees. The fee drag is material but secondary; the core problem is that 85.7% of closed trades lose money.

By instrument, the pattern is uniform failure. BTC generated -$50,555 across 4 episodes with a 0% win rate. ETH lost -$8,227.81 across 10 episodes, also 0% win rate. HYPE, ONDO, SKY, S, FOGO, LINK, ETHFI, and SOL are all loss-making. Only TON (1 episode, +$2,257.56) and JTO (1 episode, +$275.04) show wins. The account is entirely long-biased; no short positions were closed profitably.

The two largest losses are instructive. The BTC trade opened on 15 May at $78,321.80 and closed on 17 May at $78,284.77, a -0.28% move that cost $49,409.45. The position was sized at $3.585M notional with 40x leverage on a $129k account—a structural stop distance of only 0.85% to liquidation. This was a revenge trade: it opened immediately after a -$355 SOL loss. The ONDO trade opened on 16 May at $0.35, closed on 18 May at $0.34, and lost $3,207.28 on a $228M notional position. Both trades show maximum adverse excursion (MAE) well within the structural stop distance, meaning a disciplined stop would have prevented most of the damage.

Fees consumed $26,494.10 of the $61.14M in closed trade volume, a ratio of 0.043%. This is not exceptional but not the primary leak. The realised PnL before fees would have been -$61,911.96, still a catastrophic loss.

Trade quality

Win rate of 14.29% against a loss rate of 85.71%. Profit factor of 0.06—for every dollar won, the account lost $16.67. Average win of $1,049.04; average loss of -$3,066.79, a win/loss ratio of 0.34. Expectancy of -$2,478.81 per closed trade. These numbers describe an account with no edge and no discipline. The longest win streak was 1 trade. The longest loss streak was 9 consecutive losses. A 21.05% win rate under a 1% stop rule (simulated gross of fees) would have limited losses to -$10,609.23 and deepest decline in that window to -8.84%; under a 4% rule, losses would have been -$42,436.92 with a deepest decline in that window of -34.85%. The account's actual behaviour—no stops in place on any open position—cost it roughly $40,000 in the data covered.

Post-mortems

BTC long, 15–17 May 2026. Opened at $78,321.80, closed at $78,284.77, -$49,409.45 loss. Position notional peaked at $3.585M on 40x leverage. This was a revenge trade following a -$355 SOL loss. The structural stop distance was 0.85%, meaning the account was liquidation-adjacent on a micro move. MAE was only -0.28%, well within the stop distance. The trade held for 52.59 hours and never showed meaningful profit (MFE +1.05%). This is a textbook over-leverage, revenge-driven liquidation risk that should have been stopped at -0.85%.

ONDO long, 16–18 May 2026. Opened at $0.35, closed at $0.34, -$3,207.28 loss. Position notional peaked at $228M on 10x leverage. Held for 45.51 hours. MAE was -3.12%, exceeding the structural stop distance of 1.66%. No stop was in place. MFE was +1.73%, so the trade briefly showed profit before reversing. This is a second oversized loser in the same 48-hour window, compounding losses after the BTC blowup.

What the risk simulator reveals

Under a 1% stop rule applied retroactively to all closed trades (gross of fees), the account would have realised -$10,609.23 with a deepest decline in that window of -8.84% and a 21.05% win rate. Under a 2% rule, losses would have been -$21,218.46 with a deepest decline in that window of -17.59%. Under a 4% rule, losses would have been -$42,436.92 with a deepest decline in that window of -34.85%. In all three scenarios, 3 episodes were stopped early. The actual loss of -$69,406.75 with a deepest decline in this window of -79.9% shows that the absence of stops cost the account between $27,000 (4% rule) and $58,800 (1% rule) in the data covered.

Open positions

The largest open position is ETH long: 400.4743 contracts, entry $1,786.66, mark $1,793.50, 25x leverage, cross margin, held 54 days, unrealised +$2,735.54 (+9.56% ROE), liquidation at $1,703.67. This position has accrued $777.13 in funding costs since opening. No stop is in place.

BTC long is open with 2 contracts, entry $63,909, mark $64,063, 40x leverage, cross margin, held less than 1 day, unrealised +$308 (+9.64% ROE), liquidation at $46,212.08. Funding cost since open is $1.60. No stop.

ONDO long is open with 93,641 contracts, entry $0.3163, mark $0.3293, 10x leverage, cross margin, held 53 days, unrealised +$1,213.35 (+40.96% ROE), no liquidation price. Funding cost since open is $134.76. No stop.

A short position in xyz:CL (crude oil futures) is open with 0.793 contracts, entry $100.78, mark $71.429, 5x

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
  • SOL on May 15, 2026: added to the position; while it was already moving against entry; outcome -$355.
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
4
Examples
  • BTC: -$49,409 realised loss; 68.7x median closed loss.
  • HYPE: -$2,846 realised loss; 4x median closed loss.
+2 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
7
Examples
  • BTC on May 15, 2026: followed a -$355 loss; larger-than-normal size.
  • ETH on May 16, 2026: followed a -$49,409 loss; larger-than-normal size.
+5 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$2,478.81
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.+2.4%

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.-$10,609
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-8.8%
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.-$21,218
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-17.6%
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.-$42,437
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-34.9%
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 May 15 with $126k and ends at Jul 10 with $105k.Account value (USD)Date$128k$116k$105kMay 15May 16Jul 10

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.
TONlong$12,404$2,2582026-05-18
HYPElong$296,813$1,6462026-05-16
JTOlong$6,778$2752026-05-18
KASlong$9,841$182026-05-17

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.
BTC40.0%-$50,555
ETH100.0%-$8,228
HYPE3+33.3%-$4,288
ONDO10.0%-$3,207
TON1+100.0%$2,258
SKY10.0%-$1,895
S10.0%-$1,233
FOGO10.0%-$760
LINK10.0%-$678
ETHFI10.0%-$560
SOL10.0%-$355
JTO1+100.0%$275
2Z10.0%-$198
KAS1+100.0%$18
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