RRektrospect

0x1111bbf435a2b5e0f17e97a0764c58f2ed4bf167

0x1111...f167 wallet audit

0x1111...f167 audit. $2,267,966 realised trading PnL across 5 closed position cycles, using 1,998 public fills from Sep 25, 2025 to Oct 5, 2025.

limited sampleLimited sample: only 5 closed position cycles are visible in the data covered (Sep 25, 2025 to Oct 5, 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.Sep 25-Oct 5 dataThis audit used 1,998 public fills covering Sep 25, 2025 to Oct 5, 2025. 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: Sep 25, 2025 to Oct 5, 2025.-0.3%5 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+80.0%203,965.89 profit factor
Total volumeGross notional traded across 1,998 reconstructed public fills. A position cycle can contain many individual fills.$69,529,93712 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 $3,430 minus closed trading PnL $2,267,966 = starting estimate -$2,264,535). 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 1,998 public fills covering Sep 25, 2025 to Oct 5, 2025. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.Sep 25, 2025 to Oct 5, 2025

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 9 calendar days of visible trading history.

Public fills
1,998
Position cycles
5 closed, 7 open
Limit
public fill cap not hit
Equity curveA historical line showing how the wallet balance moved across the data covered: Sep 25, 2025 to Oct 5, 2025. It is not a prediction.$3,430
all visible fillsThis audit used 1,998 public fills covering Sep 25, 2025 to Oct 5, 2025. 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 Oct 2 with -$891k and ends at Oct 5 with $3.4k.Account value (USD)Date$3.4k-$444k-$891kOct 2Oct 4Oct 5
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: 1,998 public fills from Sep 25, 2025 to Oct 5, 2025; this is the actual visible trading span, not a preset last-week or last-month period.
  • The sample is too small to draw reliable conclusions about this account's edge or consistency.
  • Five closed episodes across nine days of activity generated $2.27M in realised PnL, but the sample is too small to separate signal from noise.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Two large directional longs in major coins captured significant moves during a bullish window.
  • A same-day HYPE trade resulted in a small loss, suggesting position sizing or entry conviction was misaligned on lower-liquidity instruments.
  • The sample is too small to assess whether the account's edge is repeatable, whether averaging-down is a systematic strength or a lucky feature of this specific window, or whether the absence of short-side attempts reflects a deliberate bias or incomplete sampling.
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

The sample is too small to draw reliable conclusions about this account's edge or consistency. Five closed episodes across nine days of activity generated $2.27M in realised PnL, but the sample is too small to separate signal from noise. Four of five trades were profitable; two large ETH and BTC longs accounted for $2.0M of the total gain. Fees consumed $20.3K. No open positions remain.

What the data shows

Activity spans 25 September to 5 October 2025. The account opened with an ETH long on 25 September at $3,887.63, closed on 2 October at $4,228.61 for $1.37M profit over 158 hours. A BTC long followed on 27 September at $109,340.73, closed on 4 October at $122,562.48 for $625.8K profit over 165 hours. Both trades carried averaging-down flags, indicating position size was increased during the hold. A third ETH episode generated $268.3K. A HYPE long on 4 October at $49.03 closed immediately at $49.02 for a $11 loss. A PURR/USDC trade added $0.13.

Realised PnL totalled $2.35M before fees. Gross fees paid were $20.3K against $69.5M in gross volume, a drag of 0.03%. The win rate stands at 80% across five closed trades. No short positions were attempted. All profitable episodes were long-side entries on major coins.

Trade quality

Win rate of 80% and a profit factor of infinite (no losses of material size) describe the closed sample, but five episodes provide no basis for assessing consistency or edge durability. The two largest wins—ETH and BTC—both flagged averaging-down behaviour, suggesting conviction was added into adverse moves before reversal. The single material loss, HYPE at $11, occurred in a same-day entry and exit with a 4% structural stop distance, indicating a mismatch between position sizing and risk tolerance on smaller-cap instruments.

Post-mortems

ETH long, 25 September to 2 October: entry $3,887.63, exit $4,228.61, $1.37M profit. Held 158 hours with averaging-down flagged. BTC long, 27 September to 4 October: entry $109,340.73, exit $122,562.48, $625.8K profit. Held 165 hours with averaging-down flagged. HYPE long, 4 October: entry $49.03, exit $49.02, $11 loss. Same-day close with 4% structural stop.

Honest summary

  • Two large directional longs in major coins captured significant moves during a bullish window.
  • A same-day HYPE trade resulted in a small loss, suggesting position sizing or entry conviction was misaligned on lower-liquidity instruments.
  • The sample is too small to assess whether the account's edge is repeatable, whether averaging-down is a systematic strength or a lucky feature of this specific window, or whether the absence of short-side attempts reflects a deliberate bias or incomplete sampling.

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.
1
Examples
  • ETH on Oct 2, 2025: re-entered at 4,407.24 after closing at 4,228.61 (Oct 2, 2025 prior close); outcome $268,251.
Averaging downAdded size while the position was already moving against the entry.
3
Examples
  • ETH on Sep 25, 2025: added to the position; while it was already moving against entry; outcome $1,373,919.
  • BTC on Sep 27, 2025: added to the position; while it was already moving against entry; outcome $625,806.
+1 more matching cycle
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.$453,593.12
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+0.9%
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+40.5%

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.$898,727
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-0.1%
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.$1,797,454
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-0.1%
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.$3,594,908
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-0.1%
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.

Equity curve by date and account valueX-axis shows date. Y-axis shows account value in US dollars. The line starts at Oct 2 with $779k and ends at Oct 4 with $1.9M.Account value (USD)Date$1.9M$1.3M$779kOct 2Oct 4Oct 4

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$11,762,558$1,373,9192025-10-02
BTClong$6,093,879$625,8062025-10-04
ETHlong$13,625,144$268,2512025-10-04
PURR/USDClong$0$02025-10-05

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.
ETH2+100.0%$1,642,170
BTC1+100.0%$625,806
HYPE10.0%-$11
PURR/USDC1+100.0%$0
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