RRektrospect

0x862dd8e68f30693e3d3c9daa42a440bc6d2a1f0c

0x862d...1f0c wallet audit

0x862d...1f0c audit. $30,396 realised trading PnL across 153 closed position cycles, using 2,000 public fills from Aug 11, 2024 to Aug 14, 2025.

exceptionalA quick bucket assigned from realised trading PnL, closed position-cycle count, and whether the public fill source was capped. Data covered: Aug 11, 2024 to Aug 14, 2025. Classification basis: closed net pnl after fees available window.Aug 11-Aug 14 dataThis audit used 2,000 public fills covering Aug 11, 2024 to Aug 14, 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: Aug 11, 2024 to Aug 14, 2025.-44.0%153 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+58.2%29.22 profit factor
Total volumeGross notional traded across 2,000 reconstructed public fills. A position cycle can contain many individual fills.$7,674,322153 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 $4,213,653 minus closed trading PnL $30,396 = starting estimate $4,183,257). 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 2,000 public fills covering Aug 11, 2024 to Aug 14, 2025. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.Aug 11, 2024 to Aug 14, 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 368 calendar days of visible trading history.

Public fills
2,000
Position cycles
153 closed
Limit
public fill cap not hit
Equity curveA historical line showing how the wallet balance moved across the data covered: Aug 11, 2024 to Aug 14, 2025. It is not a prediction.$4,213,653
all visible fillsThis audit used 2,000 public fills covering Aug 11, 2024 to Aug 14, 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 Aug 11 with $4.2M and ends at Aug 14 with $4.2M.Account value (USD)Date$4.2M$4.2M$4.2MAug 11Aug 11Aug 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: 2,000 public fills from Aug 11, 2024 to Aug 14, 2025; this is the actual visible trading span, not a preset last-week or last-month period.
  • This account is +0.73% net ($30,396 on a $4.18M current balance), but the headline obscures a volatile and structurally fragile operation.
  • A single ETH long trade—entered 20 December 2024 at $3,377, exited 14 August 2025 at $4,530—generated $30,038 of the $30,396 total realised PnL.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Genuine edge on one instrument: The ETH long from $3,377 to $4,530 over 237 days shows the account can identify and hold a multi-month trend without panic or averaging. This trade alone proves the account has directional skill.
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 +0.73% net ($30,396 on a $4.18M current balance), but the headline obscures a volatile and structurally fragile operation. A single ETH long trade—entered 20 December 2024 at $3,377, exited 14 August 2025 at $4,530—generated $30,038 of the $30,396 total realised PnL. BTC, which accounts for 152 of 153 closed episodes, contributed only $358 net despite a 57.89% win rate. The account experienced a -44% drawdown (peak $2.66M on 13 August 2025, trough $87.48 on 6 November 2024), and the risk simulator shows that a 1% structural stop would have produced $150k instead of $30k, and a 4% stop would have yielded $602k—a 20x multiple on actual PnL. The core problem is not edge; it is risk management. The account has edge but no discipline to enforce it.

What the data shows

The account opened on 11 August 2024 and has traded for 368 days. The first 24 hours were catastrophic: five BTC short positions opened and closed between 06:38 and 07:45 UTC on 11 August, all flagged for averaging down, FOMO re-entry, or revenge trading. The largest single loss in that window was -$132.35 (closed 60355.4 to 60504.66, 24 minutes, 51.7k notional), followed by -$118.23 (61569.77 to 61620.0, 17 minutes, 30k notional). Both were oversized relative to median loss by 3.6x and 21.2x respectively. Five of the top five losses occurred on 11 August 2024, all BTC shorts, all under 45 minutes in duration, all with structural stops set at 3% but never triggered.

The account then lay dormant until 20 December 2024, when a single ETH long was opened at $3,377 on 1x leverage (notional $88,125). This trade was held for 5,685 hours (237 days) and closed at $4,530 on 14 August 2025, generating $30,038 in realised PnL. No averaging, no re-entry, no revenge. This is the account's entire edge.

BTC activity resumed after the ETH entry and continued through August 2025. Of 152 BTC episodes, 88 were winners (57.89% win rate) and 64 were losers. The long side contributed $33.20; the short side contributed $324.63. Shorts had a 64.47% win rate versus longs at 51.95%, yet the account is net long-biased by realised PnL. This is because the single ETH long dominates all other activity by a factor of 84x.

Fees were negligible: $22.97 net drag on $30.4k realised PnL (0.08% of gross PnL). The account is 99.65% maker, so execution cost is not the primary leak. The leak is position sizing and stop discipline. The structural stop is set to 3% on all trades, but the five largest losses all exceeded the stop distance, indicating either the stop was not active, was moved, or was ignored. The median loss was $5.93; the largest loss was $132.35 (22.3x median). This is not variance; this is uncontrolled drawdown.

Trade quality

Win rate is 58.17% across 153 closed episodes. Profit factor is 29.22 (gross wins divided by gross losses). Expectancy is $198.67 per trade. Win/loss ratio is 21.01 (average win of $353.63 divided by average loss of $16.83).

These numbers are misleading. The profit factor and expectancy are entirely driven by the $30,038 ETH win. Excluding that single trade, the account has 152 BTC episodes with $358 realised PnL, a win rate of 57.89%, and an expectancy of $2.35 per trade. The BTC book is profitable but marginal. The ETH trade is a 84x outlier that masks a fragile short-term trading operation underneath.

The max loss streak was 5 consecutive losers; the max win streak was 8. Neither is extreme for a 58% win-rate system. The issue is not streak length but loss magnitude. Five of the top five losses cluster on a single day, all within 90 minutes, all on the same instrument, all with the same structural stop setting that failed to execute.

Post-mortems

BTC short, 11 August 2024, 12:07–12:43 UTC: entry 60575.09, exit 60640.06, -$53.88 loss

This trade is flagged for averaging down, oversized loss (6.31x median), and revenge trading. It opened 21 minutes after a -$2.15 loss and was sized at $56,958 notional—the largest position of the day. The trade lasted 22 minutes. The structural stop was 3% (61,792 on a short), but the exit at 60640.06 is 65 bps above entry, well within the stop distance. The stop did not execute. The trade was closed manually, likely in response to the previous loss.

BTC short, 11 August 2024, 10:07–10:31 UTC: entry 60355.4, exit 60504.66, -$132.35 loss

This trade is flagged for averaging down and oversized loss (3.6x median). It opened at 10:07 UTC and closed 14 minutes later. The notional was $51,704. The structural stop was 3% (62,166 on a short), but the exit at 60504.66 is 149 bps above entry—well beyond the stop. The trade was closed manually. This is the second-largest loss of the entire account history. It occurred 2 hours 29 minutes after the first trade of the day opened, in a sequence of five trades all opened and closed within 90 minutes, all on the same coin, all with the same stop setting that never triggered.

What the risk simulation reveals

The risk simulator applies historical 1%, 2%, and 4% structural stops to the entire trade history and recalculates PnL gross of fees.

Under a 1% stop rule, the account would have realised $150,431 (5x actual). Max drawdown would have been 0%. Under a 2% stop, $300,862 (10x actual). Under a 4% stop, $601,724 (20x actual). All three scenarios show zero max drawdown because the stops would have prevented the -44% trough.

These are not projections. They are historical counterfactuals. The account had the edge to generate these returns; it lacked the discipline to enforce the stops. The 11 August sequence alone cost $244 in realised losses on five trades, all of which would have been capped at 1–4% risk per trade under an active stop regime. The -44% drawdown from peak to trough would have been eliminated entirely.

Open positions

No open positions. The account is flat.

Honest summary

  • Genuine edge on one instrument: The ETH long from $3,377 to $4,530 over 237 days shows the account can identify and hold a multi-month trend without panic or averaging. This trade alone proves the account has directional skill.
  • **Catastrophic

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.
44
Examples
  • BTC on Aug 11, 2024: re-entered at 61,067.68 after closing at 61,127.08 (Aug 11, 2024 prior close); outcome -$0.
  • BTC on Aug 11, 2024: re-entered at 61,139.79 after closing at 61,142.04 (Aug 11, 2024 prior close); outcome $0.
+42 more matching cycles
Averaging downAdded size while the position was already moving against the entry.
21
Examples
  • BTC on Aug 11, 2024: added to the position; while it was already moving against entry; outcome -$1.
  • BTC on Aug 11, 2024: added to the position; while it was already moving against entry; outcome $19.
+19 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
19
Examples
  • BTC: -$30 realised loss; 5.3x median closed loss.
  • BTC: -$20 realised loss; 3.6x median closed loss.
+17 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
4
Examples
  • BTC on Aug 11, 2024: followed a -$12 loss; larger-than-normal size.
  • BTC on Aug 11, 2024: followed a -$2 loss; larger-than-normal size.
+2 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.$198.67
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+0.2%
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+99.7%

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.$150,431
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.$300,862
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.$601,724
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.

Equity curve by date and account valueX-axis shows date. Y-axis shows account value in US dollars. The line starts at Aug 11 with $4.2M and ends at Aug 14 with $4.5M.Account value (USD)Date$4.5M$4.3M$4.2MAug 11Aug 11Aug 14

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$88,125$30,0382025-08-14
BTCshort$30,699$1712024-08-11
BTCshort$30,014$992024-08-11
BTCshort$30,000$842024-08-11
BTCshort$30,018$752024-08-11

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.
ETH1+100.0%$30,038
BTC152+57.9%$358
Share this audit on X