RRektrospect

0xa5232e97b4ded3d2ef25be059c3489e61be475aa

0xa523...75aa wallet audit

0xa523...75aa audit. -$4,315,531 realised trading PnL across 4 closed position cycles, using the latest 10,000 public fills from Sep 12, 2025 to Sep 25, 2025; older public fills may exist outside this audit.

limited sampleLimited sample: only 4 closed position cycles are visible in the data covered (Sep 12, 2025 to Sep 25, 2025). Raw metrics are shown, but behavioural conclusions stay caveated until there are at least 10 closed cycles. 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 Sep 12, 2025 to Sep 25, 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
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Current account valueAccount value from Hyperliquid's public account state when this audit ran. This is a balance snapshot, not proof of lifetime deposits or withdrawals.$26latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: Sep 12, 2025 to Sep 25, 2025. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.-$4,315,531-100.0%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: Sep 12, 2025 to Sep 25, 2025.-100.0%4 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+50.0%0.05 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$408,832,8278 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 $26 minus closed trading PnL -$4,315,531 = starting estimate $4,315,557). 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 Sep 12, 2025 to Sep 25, 2025. Older trades may exist outside this page, so lifetime claims are avoided.Sep 12, 2025 to Sep 25, 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
4 closed, 4 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: Sep 12, 2025 to Sep 25, 2025. It is not a prediction.$26
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 Sep 12, 2025 to Sep 25, 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 Sep 22 with $1.3M and ends at Sep 25 with $26.Account value (USD)Date$1.5M$749k$26Sep 22Sep 24Sep 25
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 Sep 12, 2025 to Sep 25, 2025; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small—four closed episodes across 13 days—to support behavioural or skill-based conclusions.
  • The account is -100% in the data covered: $4.3M in realised losses against $385.7M in gross closed trade volume, leaving a current balance of $25.68.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Two of four closed trades were profitable, but the two losses were 25× larger in aggregate, erasing all edge and capital.
  • Position sizing was extreme relative to account size: the BTC short alone reached $109M notional, and the ETH long reached $65.7M, suggesting either leverage was very high or the account began with substantial capital that was then depleted.
  • The sample is too small to isolate whether these losses reflect
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. The sample is too small—four closed episodes across 13 days—to support behavioural or skill-based conclusions. The account is -100% in the data covered: $4.3M in realised losses against $385.7M in gross closed trade volume, leaving a current balance of $25.68. Two large directional bets on BTC short and ETH long each lost over $1.4M; two smaller positions in ASTER and HYPE each won roughly $120K and $115K. Fees consumed $83.4K of the realised result.

What the data shows

The account opened on 12 September 2025 and closed its final position on 25 September. Four trades were closed in that window; four remain open with zero notional value (likely closed after the 10k-fill cap was hit).

The two losses dominate the narrative. A BTC short entered at 115,523.59 on 12 September and exited at 114,634.85 on 22 September—a 259-hour hold that lost $3.05M on a maximum notional of $109M. An ETH long entered at 4,167.87 on 24 September and exited at 4,049.15 on 25 September—an 11.96-hour hold that lost $1.50M on a maximum notional of $65.7M. Both positions carried a 3% structural stop distance.

The two wins were smaller in absolute terms but opposite in character. An ASTER short entered and exited on 23 September at 1.97 and 1.93 respectively, holding for 8.27 hours and returning $121,986 on a $6.2M notional. The trade was flagged for averaging down. A HYPE long opened and closed on 24 September with a 0.2-hour hold, returning $115,165 on a $6.9M notional; entry price is not recorded.

Gross realised PnL across all four closed trades is -$5.12M. Fees of $83.4K represent net fee drag with no rebates. The account traded $408.8M in gross volume to produce this result.

Trade quality

Win rate is 50%—two wins, two losses. Profit factor is undefined (losses exceed gains). Expectancy per closed trade is -$1.28M. The ratio of largest win to largest loss is 1:25, a severe asymmetry that reflects position sizing rather than edge.

Post-mortems

BTC short, 12–22 September 2025. Entered at 115,523.59, exited at 114,634.85 after 259 hours. Maximum notional exposure was $108.96M. The position lost $3.05M. A 3% structural stop was in place but not triggered. This was the largest loss in the data covered.

ETH long, 24–25 September 2025. Entered at 4,167.87, exited at 4,049.15 after 11.96 hours. Maximum notional exposure was $65.74M. The position lost $1.50M. A 3% structural stop was in place but not triggered. This was the second-largest loss.

Open positions

No open positions remain. The account holds $25.68 in cash.

Honest summary

  • Two of four closed trades were profitable, but the two losses were 25× larger in aggregate, erasing all edge and capital.
  • Position sizing was extreme relative to account size: the BTC short alone reached $109M notional, and the ETH long reached $65.7M, suggesting either leverage was very high or the account began with substantial capital that was then depleted.
  • The sample is too small to isolate whether these losses reflect

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
  • ASTER on Sep 23, 2025: added to the position; while it was already moving against entry; outcome $121,986.
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.
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.-$1,078,882.82
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.+28.5%

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.-$11,396
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-0.5%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
2
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$22,791
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-0.9%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
2
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$45,583
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-1.9%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
2

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 Sep 22 with $4.5M and ends at Sep 25 with $4.4M.Account value (USD)Date$4.5M$4.4M$4.4MSep 22Sep 23Sep 25

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.
ASTERshort$6,166,174$121,9862025-09-23
HYPElong$6,919,507$115,1652025-09-24

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.
BTC10.0%-$3,054,420
ETH10.0%-$1,498,262
ASTER1+100.0%$121,986
HYPE1+100.0%$115,165
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