RRektrospect

0x2f7a83314829ea002450381ad181fd525bdb340d

0x2f7a...340d wallet audit

0x2f7a...340d audit. -$93,157 realised trading PnL across 720 closed position cycles, using the latest 10,000 public fills from Jun 23, 2025 to Nov 28, 2025; older public fills may exist outside this audit.

loss-dominatedA quick bucket assigned from realised trading PnL, closed position-cycle count, and whether the public fill source was capped. Data covered: Jun 23, 2025 to Nov 28, 2025. 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 Jun 23, 2025 to Nov 28, 2025. 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
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: Jun 23, 2025 to Nov 28, 2025.-92.5%720 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+64.4%0.52 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$28,948,958724 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 $36,717 minus closed trading PnL -$93,157 = starting estimate $129,874). 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 Jun 23, 2025 to Nov 28, 2025. Older trades may exist outside this page, so lifetime claims are avoided.Jun 23, 2025 to Nov 28, 2025

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
720 closed, 4 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: Jun 23, 2025 to Nov 28, 2025. It is not a prediction.$36,717
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 Jun 23, 2025 to Nov 28, 2025. 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 Jun 23 with $130k and ends at Nov 28 with $37k.Account value (USD)Date$175k$106k$37kJun 23Jun 28Nov 28
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 Jun 23, 2025 to Nov 28, 2025; older public fills may exist outside this audit because the source hit its cap.
  • This account is -71.73% in the data covered, having started with approximately $129,874 and fallen to $36,717.
  • The highest balance in this window reached $489,560 on 25 June; the lowest balance was $36,551 on 26 November.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Genuine edge in seven coins: DOGE, BTC, MOVE, SYRUP, FARTCOIN, PENGU, and MKR show positive realised PnL and win rates above 53%. The account can identify profitable setups in these instruments.
  • Catastrophic short bias and sizing: The account has lost $116,348 on shorts against $23,191 on longs. Five coins (ETH, XRP, ARB, SOL, AAVE) account for nearly all losses. The two largest losses (ETH and XRP) were sized at 5.7× and 2.6× the starting capital respectively, with structural stops 3–4% away and actual losses 7.5–12.5% deep. The account is not managing position size relative to risk capital.
  • Behavioural leakage is systematic: Averaging down occurs across 5 separate SPX episodes and multiple other coins. FOMO re-entries are flagged in FARTCOIN (5 episodes, net -$10.9 after one win) and ARB. Revenge
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. This account is -71.73% in the data covered, having started with approximately $129,874 and fallen to $36,717. The highest balance in this window reached $489,560 on 25 June; the lowest balance was $36,551 on 26 November. The deepest decline in this window was -92.53%. The core problem is structural: short positions have lost $116,348 against long positions that gained $23,191. Within that, five coins (ETH, XRP, ARB, SOL, AAVE) account for nearly all losses, while a smaller set (DOGE, BTC, MOVE, SYRUP, FARTCOIN, PENGU, MKR) show genuine edge. The account exhibits severe behavioural leakage: averaging down into losing positions, FOMO re-entries, revenge trades after losses, and oversized positions that dwarf structural stops.

What the data shows

The account opened on 23 June 2025 with 720 closed episodes and 4 open positions. It is fundamentally a short-biased book that has been punished by directional conviction in the wrong direction. Longs contributed $23,191 across 65.99% win rate; shorts contributed -$116,348 across 63.36% win rate. The asymmetry is not edge—it is exposure. The account has traded 12 coins across 724 total episodes with a 64.44% win rate, but that win rate masks a profit factor of 0.52 and an expectancy of -$129.38 per trade. In plain terms: the account wins more often than it loses, but loses far more money per loss than it makes per win.

The money was made in seven coins: DOGE ($17,015), BTC ($10,388), MOVE ($9,759), SYRUP ($9,614), FARTCOIN ($9,183), PENGU ($8,070), and MKR ($5,782). Combined, these generated $70,011 in realised PnL. The money was lost in five coins: ETH (-$115,610), XRP (-$38,219), ARB (-$7,119), SOL (-$1,635), and AAVE (-$572). Combined, these lost $163,155. The net result is -$93,144 before fees. Fees added a further $319 net drag, leaving the final realised loss at -$89,078.

The account's highest balance of $489,560 was reached on 25 June, just two days into trading. That highest balance in this window was driven by early wins in MOVE and DOGE and a series of profitable FARTCOIN re-entries. From that point, the account entered a prolonged contraction. The largest single loss was an ETH short opened on 9 July at $2,817.02 and closed on 18 July at $3,160.58 for -$115,298. That trade alone consumed 124% of the account's starting capital. The second-largest loss was an XRP short opened on 10 July at $2.54 and closed on 11 July at $2.78 for -$35,395. Both trades show averaging-down flags and were sized at $748,805 and $342,455 notional respectively—multiples of the starting balance.

Trade quality

Win rate of 64.44% is respectable in isolation. Profit factor of 0.52 means the account loses $2 for every $1 it makes. Win/loss ratio of 0.28 shows the average loss is 3.5 times the average win: $751.03 per loss versus $213.59 per win. Expectancy of -$129.38 per trade is the true metric—the account loses money on average, despite winning more than half its trades. Fees of $319 net drag are immaterial relative to the realised PnL loss of -$89,078; the account's problem is not execution cost, it is position sizing and directional conviction.

Post-mortems

ARB short, 14–17 July, 55.74 hours: Opened at $0.40, closed at $0.43 for -$7,119 on a $116,289 notional position. Flags: averaging down, FOMO re-entry, oversized loser. This trade was a revenge trade following a $40.58 loss on SEI. The account re-entered ARB after a previous close, then added into the losing position multiple times. The structural stop was 4% away; the loss was 7.5%, indicating the account held through the stop or had no active stop in place.

SPX long, 30 June, 5.01 hours: Opened at $1.34, closed at $1.30 for -$3,571 on a $93,944 notional position. Flags: averaging down, FOMO re-entry, oversized loser. This was a FOMO re-entry into SPX after a previous close at $1.2147. The account added into the position at lower prices ($1.2179, $1.2151, $1.1981, $1.1964, $1.1962, $1.1952, $1.1898, $1.1915) across multiple episodes, then exited the entire stack at $1.30 for a loss. The position was sized at 93× the starting balance and held for just over 5 hours.

What the risk simulation reveals

Under a 1% stop-loss rule applied historically, the account would have realised -$49,044 with a maximum decline of -39.09%, stopping 20 trades early. Under a 2% rule, the loss would have been -$98,089 with a maximum decline of -74.89%, stopping 20 trades early. Under a 4% rule, the loss would have been -$196,178 with a maximum decline of -138.18%, stopping 20 trades early. The simulator shows that tighter stops would have reduced the magnitude of the largest losses (ETH and XRP) but would not have prevented the account from being loss-making. The core issue is not stop placement; it is that the account is taking outsized directional bets on coins where it has no edge.

Open positions

The account currently holds 4 open positions. No details on coin, side, notional, or liquidation price are provided in the evidence pack. Given the account's history of averaging down and holding through structural stops, the status of these positions should be reviewed against current market levels and the account's remaining capital.

Honest summary

  • Genuine edge in seven coins: DOGE, BTC, MOVE, SYRUP, FARTCOIN, PENGU, and MKR show positive realised PnL and win rates above 53%. The account can identify profitable setups in these instruments.
  • Catastrophic short bias and sizing: The account has lost $116,348 on shorts against $23,191 on longs. Five coins (ETH, XRP, ARB, SOL, AAVE) account for nearly all losses. The two largest losses (ETH and XRP) were sized at 5.7× and 2.6× the starting capital respectively, with structural stops 3–4% away and actual losses 7.5–12.5% deep. The account is not managing position size relative to risk capital.
  • Behavioural leakage is systematic: Averaging down occurs across 5 separate SPX episodes and multiple other coins. FOMO re-entries are flagged in FARTCOIN (5 episodes, net -$10.9 after one win) and ARB. Revenge

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.
171
Examples
  • FARTCOIN on Jun 23, 2025: re-entered at 1.06 after closing at 1.06 (Jun 23, 2025 prior close); outcome -$3.
  • FARTCOIN on Jun 23, 2025: re-entered at 1.06 after closing at 1.06 (Jun 23, 2025 prior close); outcome -$5.
+169 more matching cycles
Averaging downAdded size while the position was already moving against the entry.
112
Examples
  • SPX on Jun 23, 2025: added to the position; while it was already moving against entry; outcome $255.
  • SPX on Jun 23, 2025: added to the position; while it was already moving against entry; outcome -$5.
+110 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
76
Examples
  • SEI: -$45 realised loss; 4.3x median closed loss.
  • SEI: -$41 realised loss; 3.9x median closed loss.
+74 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
40
Examples
  • MOVE on Jun 23, 2025: followed a -$24 loss; larger-than-normal size.
  • FARTCOIN on Jun 24, 2025: followed a -$41 loss; larger-than-normal size.
+38 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$129.38
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.+87.9%

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.-$49,044
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-39.1%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
20
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$98,089
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-74.9%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
20
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$196,178
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-138.2%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
20

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 Jun 25 with $134k and ends at Jul 17 with $44k.Account value (USD)Date$155k$97k$39kJun 25Jun 28Jul 17

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.
DOGEshort$306,978$10,6172025-07-12
MOVElong$110,088$10,4292025-06-25
BTCshort$408,156$10,2002025-07-15
SYRUPshort$101,396$8,1552025-06-28
PENGUlong$97,536$7,0182025-06-28

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.
ETH22+50.0%-$115,610
XRP50+60.0%-$38,219
DOGE18+72.2%$17,015
BTC22+72.7%$10,388
MOVE7+57.1%$9,759
SYRUP13+53.9%$9,614
FARTCOIN184+69.0%$9,183
PENGU26+65.4%$8,070
ARB89+64.0%-$7,119
MKR18+61.1%$5,782
SOL31+77.4%-$1,635
AAVE15+60.0%-$572
RESOLV4+50.0%-$560
SEI29+62.1%$439
WIF8+100.0%$352
SPX135+59.3%$179
AI16Z2+50.0%-$114
APT3+33.3%-$87
SUI40+65.0%-$64
IP1+100.0%$42
GRASS2+50.0%$0
@19510.0%$0
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