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.-0.5%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 $2,427 minus closed trading PnL $2,267,966 = starting estimate -$2,265,539). 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.$2,427
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 -$892k and ends at Oct 5 with $2.4k.Account value (USD)Date$2.4k-$445k-$892kOct 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.
  • This account is profitable at $2.27M realised PnL over 5 closed episodes in a 9-day window, but the sample is too small to support any behavioural or skill-based conclusions.
  • Four of five closed trades were wins; the two largest wins—ETH long from 3,840 to 4,185 (+$1.37M) and BTC long from 109,340 to 122,562 (+$625k)—both involved averaging down into adverse moves.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Two large long positions in major coins (ETH, BTC) generated $2M+ of the realised PnL, both closed profitably despite intermediate adverse moves.
  • Averaging-down behaviour was present in the two largest wins, but the sample is too small to determine whether this reflects edge or luck.
  • Only 5 closed episodes over 9 days provide limited sample to assess consistency, risk management discipline, or repeatable patterns.
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 profitable at $2.27M realised PnL over 5 closed episodes in a 9-day window, but the sample is too small to support any behavioural or skill-based conclusions. Four of five closed trades were wins; the two largest wins—ETH long from 3,840 to 4,185 (+$1.37M) and BTC long from 109,340 to 122,562 (+$625k)—both involved averaging down into adverse moves. A single loss on HYPE long cost $11. Fees consumed $20.3k of gross PnL. The account currently holds 7 open positions with no closed result yet.

What the data shows

The account opened on 25 September 2025 and has executed 12 total episodes—5 closed, 7 still open—across ETH, BTC, HYPE, and PURR/USDC. Realised PnL stands at $2.35M after $20.3k in fees. The two dominant closed trades were both long entries into major cryptocurrencies held for roughly 160 hours each. The ETH position opened at 3,840.45 on 25 September, reached a maximum notional of $11.76M, and closed at 4,185.09 on 2 October. The BTC position opened at 109,340.73 on 27 September, reached $6.09M notional, and closed at 122,562.48 on 4 October. Both trades carried 3% structural stops and both were closed profitably despite intermediate adverse excursions. A third closed trade on BTC generated $268k additional profit. The HYPE long on 4 October entered at 49.03, exited at 49.02 the same day, and lost $11.12. A fourth closed trade on PURR/USDC generated $0.13. Win rate across closed episodes is 80%.

Trade quality

Win rate is 80% on 5 closed episodes. Gross fees paid total $20.3k against $69.5M gross volume, a fee ratio of 0.03%. The sample is too small to extract meaningful expectancy or profit factor interpretation; with only five closed trades, a single outlier reshapes the distribution entirely. The two largest wins both flagged averaging-down behaviour, suggesting the account added to positions during adverse moves rather than exiting at the structural stop level.

Post-mortems

HYPE long opened and closed on 4 October at 49.03 entry and 49.02 exit, generating -$11.12 PnL on $24.9k notional. The position held for zero hours and carried a 4% structural stop. This was the only closed loss in the sample.

Honest summary

  • Two large long positions in major coins (ETH, BTC) generated $2M+ of the realised PnL, both closed profitably despite intermediate adverse moves.
  • Averaging-down behaviour was present in the two largest wins, but the sample is too small to determine whether this reflects edge or luck.
  • Only 5 closed episodes over 9 days provide limited sample to assess consistency, risk management discipline, or repeatable patterns.

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 4,185.09 (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.$906,594
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.$1,813,188
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.$3,626,376
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 $795k and ends at Oct 4 with $1.9M.Account value (USD)Date$1.9M$1.4M$795kOct 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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