RRektrospect

@qwatio - 0x916ea2a9f3ba1ddd006c52babd0216e2ac54ed32

@qwatio wallet audit

@qwatio audit. -$580,921 realised trading PnL across 3 closed position cycles, using the latest 10,000 public fills from Aug 4, 2025 to Aug 7, 2025; older public fills may exist outside this audit.

limited sampleLimited sample: only 3 closed position cycles are visible in the data covered (Aug 4, 2025 to Aug 7, 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 Aug 4, 2025 to Aug 7, 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.-$580,921latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: Aug 4, 2025 to Aug 7, 2025. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.-$580,921-100.0%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: Aug 4, 2025 to Aug 7, 2025.0.0%3 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+33.3%0.52 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$365,570,8977 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 -$580,921 minus closed trading PnL -$580,921 = starting estimate $580,921). 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 Aug 4, 2025 to Aug 7, 2025. Older trades may exist outside this page, so lifetime claims are avoided.Aug 4, 2025 to Aug 7, 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
3 closed, 4 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: Aug 4, 2025 to Aug 7, 2025. It is not a prediction.-$580,921
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 Aug 4, 2025 to Aug 7, 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 Aug 4 with -$157k and ends at Aug 7 with $0.Account value (USD)Date$0-$311k-$623kAug 4Aug 4Aug 7
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 Aug 4, 2025 to Aug 7, 2025; older public fills may exist outside this audit because the source hit its cap.
  • The account is -100% in the data covered, having lost $580,921 across three closed episodes in a 3-day span.
  • The sample is too small to draw behavioural conclusions, but the pattern is stark: one profitable short (BTC, +$622,981) was overwhelmed by two large losing shorts (XRP -$737,652 and SOL -$466,251) opened and closed on the same day.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • One trade (BTC short) was profitable and held for over three days; the other two (XRP and SOL shorts) were opened and closed on the same day at losses.
  • Two large short positions were exited at losses within 13 hours of entry, suggesting either forced liquidation or rapid exit under adverse conditions.
  • The sample is too small to assess consistency, risk management, or trading approach. Three episodes across three days provide limited sample for any reliable characterisation.
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 account is -100% in the data covered, having lost $580,921 across three closed episodes in a 3-day span. The sample is too small to draw behavioural conclusions, but the pattern is stark: one profitable short (BTC, +$622,981) was overwhelmed by two large losing shorts (XRP -$737,652 and SOL -$466,251) opened and closed on the same day. Fees consumed $104,807 of gross volume, compounding the damage.

What the data shows

The account opened on 4 August 2025 and closed its final position on 7 August. Three trades were completed; four remain open. The data covered captures only 3 days of activity, making any inference about intent or pattern unreliable.

The single profitable trade was a BTC short opened 4 August and closed 7 August (81.76 hours), generating $622,981 on a notional position of $150.5 million. This trade alone offset the combined losses from XRP and SOL.

The two losing trades were both opened and closed on 4 August. XRP short: $23.3 million notional, closed after 12.95 hours at 3.03, loss of $737,652. SOL short: $29.8 million notional, closed after 13 hours at 165.06, loss of $466,251. Both were liquidated or exited at a loss within hours of entry.

Realised PnL across all three closed trades totalled -$1,829,534 before fees. Fees of $104,807 were paid on $365.6 million in gross volume, a drag of 0.029%. The net fee drag equals gross fees paid, indicating no rebates in this window.

Win rate across the three closed episodes is 33.33% (one win, two losses). The profitable trade was substantially larger in notional than either loser, but the two losses combined exceeded the single win by $580,921.

Trade quality

With only three closed episodes, the sample is too small to establish meaningful trade quality metrics. Win rate is 33.33%. Profit factor cannot be reliably interpreted from three trades. Expectancy is negative: the average closed trade lost $609,844.

Post-mortems

XRP short, 4 August, closed 4 August, 12.95 hours, exit 3.03: $23.3 million notional position resulted in a $737,652 loss. Entry price is not available in the record. The position was held briefly and exited at a loss.

SOL short, 4 August, closed 4 August, 13 hours, exit 165.06: $29.8 million notional position resulted in a $466,251 loss. Entry price is not available. The position was held briefly and exited at a loss.

BTC short, 4 August–7 August, 81.76 hours, exit 114,745.51: $150.5 million notional position generated a $622,981 profit. This was the only closed winner and the only trade held beyond a single day.

Honest summary

  • One trade (BTC short) was profitable and held for over three days; the other two (XRP and SOL shorts) were opened and closed on the same day at losses.
  • Two large short positions were exited at losses within 13 hours of entry, suggesting either forced liquidation or rapid exit under adverse conditions.
  • The sample is too small to assess consistency, risk management, or trading approach. Three episodes across three days provide limited sample for any reliable characterisation.

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.
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.-$193,640.39
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.+2.6%

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.
BTCshort$150,541,353$622,9812025-08-07

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.
XRP10.0%-$737,652
BTC1+100.0%$622,981
SOL10.0%-$466,251
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