RRektrospect

0x89da4baec446f35a1cbe17a9d1ee5c70b05ee43f

0x89da...e43f wallet audit

0x89da...e43f audit. -$17,949,843 realised trading PnL across 9 closed position cycles, using the latest 10,000 public fills from Aug 30, 2025 to Jan 31, 2026; older public fills may exist outside this audit.

limited sampleLimited sample: only 9 closed position cycles are visible in the data covered (Aug 30, 2025 to Jan 31, 2026). 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 30, 2025 to Jan 31, 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
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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.$0latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: Aug 30, 2025 to Jan 31, 2026. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.-$17,949,843-100.0%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: Aug 30, 2025 to Jan 31, 2026.-100.0%9 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+22.2%0.13 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$381,924,54013 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 -$17,949,843 = starting estimate $17,949,843). 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 30, 2025 to Jan 31, 2026. Older trades may exist outside this page, so lifetime claims are avoided.Aug 30, 2025 to Jan 31, 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
9 closed, 4 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: Aug 30, 2025 to Jan 31, 2026. 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 Aug 30, 2025 to Jan 31, 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 Aug 30 with $20M and ends at Jan 31 with $0.Account value (USD)Date$20M$10M$0Aug 30Jan 31Jan 31
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 30, 2025 to Jan 31, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small—nine closed episodes across four instruments—to support conclusions about edge, consistency, or behavioural patterns.
  • The account is -100% in the data covered: $17.95M realised loss on $381.9M gross volume.
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 Aug 30, 2025 to Jan 31, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small—nine closed episodes across four instruments—to support conclusions about edge, consistency, or behavioural patterns.
  • The account is -100% in the data covered: $17.95M realised loss on $381.9M gross volume.
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—nine closed episodes across four instruments—to support conclusions about edge, consistency, or behavioural patterns. The account is -100% in the data covered: $17.95M realised loss on $381.9M gross volume. Two trades account for $18.7M of that loss: XPL long from 0.81 to 0.39 (42.6 hours, -$16.3M) and ETH long closed 31 January 2026 (-$2.4M). One win—ETH long on 30 August 2025, entry 4267.82, exit 4379.76 in under 4 hours—generated $2.4M. Fees consumed $93.6K. The account is now at $0.19 balance with no open positions.

What the data shows

Activity spans 154 days from 30 August 2025 to 31 January 2026. Nine closed trades, four open positions at the window close. All realised PnL is negative across every instrument: XPL -$16.3M (1 episode), ETH -$1.3M (6 episodes), SOL -$258K (1 episode), ZEC -$58K (1 episode). The single profitable closed trade was the 30 August ETH scalp: $2.4M gain in under 4 hours on a $102.8M notional position. Every other closed episode lost money.

Position sizing was extreme. The XPL trade risked $25.8M notional; the largest ETH position reached $26.6M. The 30 August ETH win operated at $102.8M notional—a scale that, when applied to losing trades, produced catastrophic absolute losses. The structural stop on XPL was set at 4% distance; the trade fell from 0.81 to 0.39, a 52% decline, before closure at 42.6 hours. The ETH trade closed 31 January had no recorded entry price and no structural stop, suggesting either a position inherited from earlier fills or incomplete data capture in the data covered.

Win rate is 22.22% (2 wins in 9 closed trades). The two wins total $2.6M; the seven losses total $18.7M. Fees of $93.6K were paid on $381.9M volume, a rate of 0.0245%. Net fee drag matches gross fees paid, indicating no rebates.

Trade quality

Win rate of 22.22% with a profit factor that is undefined (losses exceed wins by a factor of 7:1) and an expectancy deeply negative. A 22% win rate is survivable only with a win/loss ratio substantially above 1:1; here the average loss is roughly 7 times the average win. The account was not profitable on any instrument. The sample is too small to isolate whether this reflects execution, position sizing, entry timing, or market conditions.

Post-mortems

XPL long, 9–10 October 2025. Opened at 0.81, closed at 0.39 after 42.6 hours. Max notional $25.8M. Loss: -$16.3M. Flagged as oversized loser. Structural stop was set 4% away; the price fell 52% before the position was closed. This trade alone consumed 91% of the total realised loss in the data covered.

ETH long, 23–31 January 2026. Closed at 2621.76 after 193.34 hours. Max notional $23.5M. Loss: -$2.4M. Flagged as oversized loser. No entry price is recorded in the data covered, suggesting the position may have been opened before the earliest visible fill or

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.
2
Examples
  • SOL on Jan 25, 2026: added to the position; while it was already moving against entry; outcome -$258,193.
  • ZEC on Jan 31, 2026: added to the position; while it was already moving against entry; outcome -$57,798.
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
3
Examples
  • ETH: -$1,359,996 realised loss; 5.3x median closed loss.
  • XPL: -$16,324,271 realised loss; 63.2x median closed loss.
+1 more matching cycle
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.-$1,994,426.95
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.+0.2%

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.-$70,567
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-1.4%
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.-$141,134
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-2.8%
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.-$282,267
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-5.6%
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 Aug 30 with $15M and ends at Jan 31 with $14M.Account value (USD)Date$15M$14M$14MAug 30Jan 25Jan 31

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.
ETHlong$102,789,904$2,384,9532025-08-30
ETHlong$26,625,963$261,1852026-01-23

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.
XPL10.0%-$16,324,271
ETH6+33.3%-$1,309,580
SOL10.0%-$258,193
ZEC10.0%-$57,798
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