RRektrospect

0x153c8444380512cabdc34f6cea09c322e14e319a

0x153c...319a wallet audit

0x153c...319a audit. -$7,388,090 realised trading PnL across 19 closed position cycles, using the latest 10,000 public fills from May 14, 2025 to Oct 10, 2025; 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 14, 2025 to Oct 10, 2025. 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 14, 2025 to Oct 10, 2025. 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 14, 2025 to Oct 10, 2025.-88.9%19 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+36.8%0.15 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$69,586,36330 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 $0 minus closed trading PnL -$7,388,090 = starting estimate $7,388,090). 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 14, 2025 to Oct 10, 2025. Older trades may exist outside this page, so lifetime claims are avoided.May 14, 2025 to Oct 10, 2025

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
19 closed, 11 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 14, 2025 to Oct 10, 2025. It is not a prediction.$0
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 14, 2025 to Oct 10, 2025. 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 14 with $7.5M and ends at Oct 10 with $0.Account value (USD)Date$8.1M$4.1M$0May 14Oct 10Oct 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 14, 2025 to Oct 10, 2025; older public fills may exist outside this audit because the source hit its cap.
  • This account is -100% in the data covered, having liquidated from $7.39M starting capital to $0.01.
  • The account reached a highest balance in this window of $11.7M on 1 October before collapsing into a deepest decline in this window of 88.87% to $1.24M on 25 June, then recovered briefly before the final washout.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Strength: Early trades on BTC and LTC showed discipline and speed. The WLD position, though ultimately a small winner, was held through 3,388 hours without panic, suggesting some ability to sit through volatility when conviction was present.
  • Weakness: The account was long-only and sized positions in inverse proportion to liquidity and conviction. The revenge trade on ETH after the ENA loss, the 110-day hold on ZEREBRO at zero profit, and the cascade of sub-1-hour liquidations on 10 October all point to reactive, not deliberate, decision-making. The account did not cut losses; it carried them until forced.
  • Data scope: Only the most recent 10,000 fills are visible. Earlier history is not available. The account may have had a longer track record before the data covered began on 14 May 2025.
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

This account is -100% in the data covered, having liquidated from $7.39M starting capital to $0.01. Only the most recent public fills are visible, so this audit covers the data covered rather than full account history. The account reached a highest balance in this window of $11.7M on 1 October before collapsing into a deepest decline in this window of 88.87% to $1.24M on 25 June, then recovered briefly before the final washout. The core pattern is uncontrolled position sizing on low-conviction alts: 19 closed trades, 36.84% win rate, 0.15 profit factor, and a revenge trade on ETH that consumed $477k in prior losses and generated only $290k in return.

What the data shows

The account began trading on 14 May 2025 with what appears to be $7.39M in capital. Early trades were small and profitable—a BTC long on 16 May returned $370k in 11 hours, and an LTC scalp on 14 May returned $86k in under 2 hours. These were the template: short-duration, directional longs on liquid instruments.

The account then shifted to larger, longer-duration positions in lower-liquidity alts. On 15 May, after a $477k loss on ENA, the trader opened a $7.89M notional ETH long—a revenge trade flagged in the data. This position held for 911 hours and returned $290k, a recovery that masked the underlying problem: position sizing had decoupled from conviction. The account peaked at $11.7M on 1 October, suggesting a period of recovery or fresh capital, but by then the damage was structural.

From 22 June onward, the account accumulated a series of long positions in illiquid alts: ZEREBRO (opened 22 June, closed 10 October, -$1.11M), HBAR (same dates, -$661k), ONDO (-$650k), SOL (-$587k), W (-$509k), BERA (-$467k), PUMP (-$896k), and others. Most closed on 10 October in a cascade. The only winning trade in this cohort was WLD, opened 22 May and closed 10 October, which returned $373k on a $4.14M notional position—a 9% return over 3,388 hours that barely offset the losses accumulating elsewhere.

Realised PnL across all 19 closed trades was -$8.93M. Gross fees paid were $19.68k on $69.6M in gross volume, a 28 basis-point bleed that was immaterial relative to the core problem: the account was long-only, concentrated in low-conviction alts, and sized as if conviction were high. The win/loss ratio of 0.26 and average loss of $728k versus average win of $192k show the asymmetry clearly.

Trade quality

Win rate of 36.84% is below breakeven for a long-biased account. Profit factor of 0.15 means the account earned $0.15 for every $1 lost. Expectancy per trade was -$388k. The win/loss ratio of 0.26 reflects the core issue: when the account won, it won small; when it lost, it lost large. Gross fees of $19.68k were negligible; the account did not fail due to execution costs.

Post-mortems

LINEA long, opened and closed 10 October, $3.03M notional, -$1.72M. This was a sub-1-hour position that lost 57% of notional. No entry or exit price is recorded, but the exit at $0.02 suggests the coin had collapsed. This was a capitulation trade, not a conviction entry.

ZEREBRO long, opened 22 June, closed 10 October, $1.01M notional, -$1.11M. Held for 2,648 hours (110 days) and exited at $0.02. This was a dead-money position that the account carried through the entire summer, a sunk-cost hold that should have been cut weeks earlier.

What the risk simulation reveals

Under a 1% stop rule applied historically to the data covered, the account would have realised $0 PnL with zero max decline. Under 2% and 4% rules, the same: $0 PnL, zero decline. This is not a sign of skill; it is a sign that the account's actual losses were so large and so concentrated in multi-day holds that a mechanical stop would have prevented the account from entering those positions at all, or would have exited them before the worst damage. The simulator is gross of fees.

Open positions

No open positions at the time of the latest fill.

Honest summary

  • Strength: Early trades on BTC and LTC showed discipline and speed. The WLD position, though ultimately a small winner, was held through 3,388 hours without panic, suggesting some ability to sit through volatility when conviction was present.
  • Weakness: The account was long-only and sized positions in inverse proportion to liquidity and conviction. The revenge trade on ETH after the ENA loss, the 110-day hold on ZEREBRO at zero profit, and the cascade of sub-1-hour liquidations on 10 October all point to reactive, not deliberate, decision-making. The account did not cut losses; it carried them until forced.
  • Data scope: Only the most recent 10,000 fills are visible. Earlier history is not available. The account may have had a longer track record before the data covered began on 14 May 2025.

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.
0

No matching position cycles in the data covered.

Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
0

No matching position cycles in the data covered.

Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
1
Examples
  • ETH on May 15, 2025: followed a -$477,745 loss; larger-than-normal size.
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$388,846.86
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.+45.0%

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.$0
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
0.0%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
0
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.$0
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
0.0%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
0
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.$0
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
0.0%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
0

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.

No simulator curve yetThis wallet has no simulated closes with usable stop and candle data. The cards above are scenario totals; a time-series curve needs at least two simulated closes.

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.
WLDlong$4,139,339$373,0912025-10-10
BTClong$4,213,136$370,6382025-05-16
ETHlong$7,893,273$290,7982025-06-22
NEARlong$1,148,276$172,5762025-09-19
LTClong$675,315$86,4152025-05-14

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.
LINEA10.0%-$1,718,846
ZEREBRO10.0%-$1,115,039
LDO10.0%-$958,311
PUMP10.0%-$896,416
HBAR10.0%-$661,013
ONDO10.0%-$650,429
SOL10.0%-$587,894
W2+50.0%-$509,824
ENA10.0%-$477,745
BERA10.0%-$467,002
WLD1+100.0%$373,091
BIGTIME10.0%-$357,297
ETH1+100.0%$290,798
NEAR1+100.0%$172,576
LTC1+100.0%$86,415
BTC2+50.0%$52,341
TRX1+100.0%$36,503
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