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.$21latest 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 $21 minus closed trading PnL -$4,315,531 = starting estimate $4,315,552). 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.$21
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 $21.Account value (USD)Date$1.5M$749k$21Sep 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 over 13 days—to support conclusions about edge, consistency, or behavioural patterns.
  • The account is -100% in the data covered: $4.3m realised loss on $4.3m notional activity, fees of $83k compounding the damage.
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 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 over 13 days—to support conclusions about edge, consistency, or behavioural patterns.
  • The account is -100% in the data covered: $4.3m realised loss on $4.3m notional activity, fees of $83k compounding the damage.
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 over 13 days—to support conclusions about edge, consistency, or behavioural patterns. The account is -100% in the data covered: $4.3m realised loss on $4.3m notional activity, fees of $83k compounding the damage. Two outsized losses (BTC short, -$3.05m; ETH long, -$1.5m) dwarf two small wins (ASTER short, +$122k; HYPE long, +$115k). Win rate is 50%, but size asymmetry means the two losses consumed all capital.

What the data shows

Four closed trades in 13 days. Two were profitable: ASTER short entered 2025-09-23 at 1.97, exited 1.93 for +$122k over 8 hours; HYPE long entered and exited 2025-09-24 at 45.22 for +$115k in 12 minutes. Two were catastrophic losses: BTC short opened 2025-09-12, closed 2025-09-22 at 114969.09 for -$3.05m across 259 hours on a $109m notional position; ETH long opened 2025-09-24 at 4167.87, closed 2025-09-25 at 4049.15 for -$1.5m across 12 hours on a $65.7m notional position.

Gross volume was $408.8m. Fees paid were $83.4k. The two losses account for $4.55m of realised damage; the two wins recovered only $237k. The account began with sufficient capital to support these positions and ended with $21.

The sample is too small to isolate whether position sizing, entry logic, or exit discipline drove the outcome. The BTC trade carried no recorded entry price and no structural stop. The ETH trade had a 3% structural stop but was exited at a loss well before that level, suggesting manual closure. The ASTER win was flagged for averaging down, indicating size was added into a position. The HYPE win had no entry price recorded and lasted 12 minutes.

Trade quality

Win rate is 50%. Profit factor is undefined because realised losses exceed realised gains. Expectancy is negative: -$1.28m per closed episode. Gross fees of $83k represent 1.6% of realised loss magnitude, a material but secondary drag relative to the directional damage.

Post-mortems

BTC short, 2025-09-12 to 2025-09-22. Opened without a recorded entry price, closed at 114969.09 after 259 hours. Maximum notional exposure was $108.9m. Loss was -$3.054m. No structural stop was in place. This trade alone consumed 71% of total realised loss.

ETH long, 2025-09-24 to 2025-09-25. Entered at 4167.87, exited at 4049.15 after 11.96 hours. Maximum notional was $65.7m. Loss was -$1.498m. A 3% structural stop was set but not triggered; the position was closed manually at a 2.8% loss. This trade consumed 29% of total realised loss.

ASTER short, 2025-09-23. Entered at 1.97, exited at 1.93 after 8.27 hours. Maximum notional was $6.2m. Win of +$122k. Flagged for averaging down, indicating the position was scaled into. This was the only profitable trade with a recorded entry price.

**HYPE long, 2025-09-

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.-$21,236
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-1.5%
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.-$42,471
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-3.1%
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.-$84,942
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-6.2%
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 23 with $1.4M and ends at Sep 25 with $1.3M.Account value (USD)Date$1.4M$1.3M$1.3MSep 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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