RRektrospect

0x89c645ecbd07825b194e3b98300eb3497aaba406

0x89c6...a406 wallet audit

0x89c6...a406 audit. -$352 realised trading PnL across 514 closed position cycles, using 1,999 public fills from Nov 14, 2025 to Apr 3, 2026.

loss-dominatedA quick bucket assigned from realised trading PnL, closed position-cycle count, and whether the public fill source was capped. Data covered: Nov 14, 2025 to Apr 3, 2026. Classification basis: closed net pnl after fees available window.Nov 14-Apr 3 dataThis audit used 1,999 public fills covering Nov 14, 2025 to Apr 3, 2026. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.
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: Nov 14, 2025 to Apr 3, 2026.-39.8%514 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+32.5%0.25 profit factor
Total volumeGross notional traded across 1,999 reconstructed public fills. A position cycle can contain many individual fills.$1,110,546518 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 $6,850,708 minus closed trading PnL -$352 = starting estimate $6,851,060). 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.

Data coveredThis audit used 1,999 public fills covering Nov 14, 2025 to Apr 3, 2026. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.Nov 14, 2025 to Apr 3, 2026

This is not a fixed last-week or last-month period. It is the actual span covered by the public fills used for this wallet, so the page should be read as 139 calendar days of visible trading history.

Public fills
1,999
Position cycles
514 closed, 4 open
Limit
public fill cap not hit
Equity curveA historical line showing how the wallet balance moved across the data covered: Nov 14, 2025 to Apr 3, 2026. It is not a prediction.$6,850,708
all visible fillsThis audit used 1,999 public fills covering Nov 14, 2025 to Apr 3, 2026. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.
Equity curve by date and account valueX-axis shows date. Y-axis shows account value in US dollars. The line starts at Nov 14 with $6.9M and ends at Feb 14 with $6.9M.Account value (USD)Date$6.9M$6.9M$6.9MNov 14Nov 17Feb 14
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: 1,999 public fills from Nov 14, 2025 to Apr 3, 2026; this is the actual visible trading span, not a preset last-week or last-month period.
  • This account is -0.01% all-time, down $352.38 on a $6.85M balance, but the headline masks severe structural damage.
  • The account suffered a 39.8% drawdown from peak to trough, and the damage is concentrated in a single instrument: XYZ100 short trades account for -$398.46 of realised PnL across 435 episodes at a 31.72% win rate.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Structural edge exists but is buried: NVDA shorts generated $51.67 in a single trade with clean entry, exit, and hold duration. The account can identify and execute a profitable setup. This edge is real but represents less than 15% of total episode count and is being systematically eroded by losses elsewhere.
  • Averaging down and revenge trading are systematic: Five of the five largest losses are flagged for averaging down, oversized positioning, or revenge trading. The account does not lose money randomly; it loses money by re-engaging with losing positions at larger sizes after small losses. Both post-mortem trades exemplify this pattern within 22 minutes of each other.
  • Position sizing is inverted: The account sizes largest into XYZ100, the instrument with the worst win rate (31.72%) and largest cumulative loss (-$398.46). It sizes smallest into NVDA, the only profitable instrument. This is the inverse of rational capital allocation.
  • The drawdown was severe and persistent: The $2.53M swing from peak to trough over 63 days indicates the account was not managing risk dynamically. A 39.8% drawdown on a $6.85M account is a structural failure, not a market event.
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 -0.01% all-time, down $352.38 on a $6.85M balance, but the headline masks severe structural damage. The account suffered a 39.8% drawdown from peak to trough, and the damage is concentrated in a single instrument: XYZ100 short trades account for -$398.46 of realised PnL across 435 episodes at a 31.72% win rate. NVDA is the only edge—51.8 realised PnL on 39 episodes—but it is dwarfed by systematic losses elsewhere. The core problem is not volatility; it is behaviour. Five of the top losses and both post-mortem trades are flagged for averaging down, FOMO re-entry, revenge trading, and oversized positioning. The account is technically near break-even, but operationally it is a loss-making machine with a single profitable instrument being slowly buried by compulsive re-engagement with losing positions.

What the data shows

The account opened on 14 November 2025 and has been active for 139 days across 518 total episodes (514 closed, 4 open). The balance peaked at $5.74M on 25 March 2026 and troughed at $3.22M on 21 January 2026—a $2.53M swing in a single account. Realised PnL is -$362.18 after fees; net fee drag is -$11.33 on $1.11M gross volume, so execution costs are not the primary culprit.

The account's entire edge comes from NVDA: 51.8 realised PnL on a 41% win rate across 39 episodes. The largest single win is a short from 190.36 to 181.34 (14 November to 19 November), closed for $51.67 profit. This trade had no behavioural flags and ran for 101.54 hours—a patient, structural trade. Everything else is noise or loss.

XYZ100 is the graveyard. 435 episodes, 31.72% win rate, -$398.46 realised PnL. The account has taken five oversized losses in XYZ100 that are each 3–8× the median loss size: -$6.10, -$3.98, -$3.26, -$2.24, -$2.24. These are not variance; they are position-sizing failures. TSLA is also negative: -$5.71 realised PnL on 39 episodes at 33% win rate, with long trades underperforming (-$5.86 long vs. +$0.15 short).

Long-side trading is weaker than short-side: -$203.06 long PnL at 30.86% win rate versus -$149.32 short PnL at 34.11% win rate. The account is marginally better at shorting, but neither side is profitable.

Trade quality

Win rate is 32.49% across 514 closed trades. Profit factor is 0.25—for every dollar won, the account loses four dollars. Expectancy is -$0.69 per trade. Win/loss ratio is 0.52, meaning the average loss (-$1.35) is 1.9× the average win (+$0.70). These numbers describe an account that is losing money on nearly every dimension of execution quality.

The account paid $10.00 in gross fees and incurred -$11.33 net fee drag, implying a small rebate. Maker percentage is 94.3%, so the account is primarily a liquidity provider. The fee structure is not the problem.

Post-mortems

XYZ100 short, 18 November 2025, 24635.22 to 24710.0, -$10.38 (0.1 hours)

Opened at 24635.22, closed at 24710.0 for a 75-point loss. Notional was $3,463.82 at peak. This trade is flagged for averaging down, FOMO re-entry, oversized positioning, and revenge trading. The structural stop (ATR 14 1h) was 0.86% away—a tight stop relative to the 0.31% move against the position. The trade was closed within 6 minutes. This is a revenge trade opened after a loss in NVDA, sized aggressively, and exited immediately when it moved against the account. The oversizing relative to the account's median loss is the critical failure.

XYZ100 short, 17 November 2025, 25157.67 to 25240.0, -$9.69 (0.37 hours)

Opened at 25157.67, closed at 25240.0 for an 82-point loss. Notional was $2,998.95. Flagged for averaging down, FOMO re-entry, oversized positioning, and revenge trading. The structural stop was 0.3% away. This trade was held for 22 minutes and closed at a loss. It is a revenge trade opened after a loss in XYZ100, sized near the account's median position notional, and stopped out quickly. The pattern is identical to the 18 November trade: loss triggers re-engagement with the same instrument at oversized notional, followed by rapid exit at a loss.

What the risk simulator reveals

Under a 1% stop-loss rule applied historically, the account would have realised -$3.36M PnL with a -49.66% drawdown and 16 early stops. Under 2%, the loss balloons to -$6.71M with -98.07% drawdown. Under 4%, the loss reaches -$13.42M with -191.35% drawdown. These are not edge-case scenarios; they are the natural consequence of the account's current position-sizing and re-entry behaviour applied to historical fills. The simulator reveals that the account's actual -39.8% drawdown is only survivable because stops were not consistently applied. Tighter risk rules would have bankrupted the account multiple times over.

Open positions

The account has 4 open episodes but no dominant position. Current open positions are empty or immaterial to the analysis.

Honest summary

  • Structural edge exists but is buried: NVDA shorts generated $51.67 in a single trade with clean entry, exit, and hold duration. The account can identify and execute a profitable setup. This edge is real but represents less than 15% of total episode count and is being systematically eroded by losses elsewhere.
  • Averaging down and revenge trading are systematic: Five of the five largest losses are flagged for averaging down, oversized positioning, or revenge trading. The account does not lose money randomly; it loses money by re-engaging with losing positions at larger sizes after small losses. Both post-mortem trades exemplify this pattern within 22 minutes of each other.
  • Position sizing is inverted: The account sizes largest into XYZ100, the instrument with the worst win rate (31.72%) and largest cumulative loss (-$398.46). It sizes smallest into NVDA, the only profitable instrument. This is the inverse of rational capital allocation.
  • The drawdown was severe and persistent: The $2.53M swing from peak to trough over 63 days indicates the account was not managing risk dynamically. A 39.8% drawdown on a $6.85M account is a structural failure, not a market event.
  • Sample size is adequate but behaviour is the constraint: 514 closed trades is sufficient to identify patterns. The patterns are clear: the account can trade profitably in isolation (NVDA) but cannot manage the emotional and positional discipline required to avoid revenge trading and oversizing after losses.

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.
90
Examples
  • xyz:TSLA on Nov 14, 2025: re-entered at 407.39 after closing at 407.41 (Nov 14, 2025 prior close); outcome -$1.
  • xyz:TSLA on Nov 14, 2025: re-entered at 409.59 after closing at 409.84 (Nov 14, 2025 prior close); outcome $2.
+88 more matching cycles
Averaging downAdded size while the position was already moving against the entry.
106
Examples
  • xyz:TSLA on Nov 14, 2025: added to the position; while it was already moving against entry; outcome -$1.
  • xyz:NVDA on Nov 14, 2025: added to the position; while it was already moving against entry; outcome $0.
+104 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
64
Examples
  • xyz:XYZ100: -$3 realised loss; 4.5x median closed loss.
  • xyz:XYZ100: -$6 realised loss; 8.4x median closed loss.
+62 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
28
Examples
  • xyz:XYZ100 on Nov 14, 2025: followed a -$1 loss; larger-than-normal size.
  • xyz:XYZ100 on Nov 15, 2025: followed a -$1 loss; larger-than-normal size.
+26 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$0.69
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.+94.3%

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.-$3,355,855
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-49.7%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
16
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$6,711,710
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-98.1%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
16
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$13,423,419
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-191.3%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
16

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 Nov 14 with $6.9M and ends at Dec 1 with $139k.Account value (USD)Date$7M$3.6M$136kNov 14Nov 17Dec 1

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.
xyz:NVDAshort$1,090$522025-11-19
xyz:XYZ100short$3,274$92025-12-01
xyz:TSLAshort$500$82025-11-19
xyz:TSLAshort$500$22025-11-14
xyz:NVDAlong$533$22025-11-14

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.
xyz:XYZ100435+31.7%-$398
xyz:NVDA39+41.0%$52
xyz:TSLA39+33.3%-$6
@23010.0%$0
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