RRektrospect

0x8e80c4b533dd977cf716b5c24fd9223129272804

0x8e80...2804 wallet audit

0x8e80...2804 audit. -$2,658 realised trading PnL across 277 closed position cycles, using the latest 10,000 public fills from May 3, 2026 to Jul 10, 2026; 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: May 3, 2026 to Jul 10, 2026. 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 May 3, 2026 to Jul 10, 2026. 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: May 3, 2026 to Jul 10, 2026.-28.1%277 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+54.5%0.87 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$17,369,803285 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 $166,837 minus closed trading PnL -$2,658 = starting estimate $169,495). 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 May 3, 2026 to Jul 10, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 3, 2026 to Jul 10, 2026

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
277 closed, 8 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 3, 2026 to Jul 10, 2026. It is not a prediction.$166,837
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 May 3, 2026 to Jul 10, 2026. 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 May 3 with $170k and ends at Jul 10 with $167k.Account value (USD)Date$172k$169k$167kMay 3May 15Jul 10
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 May 3, 2026 to Jul 10, 2026; older public fills may exist outside this audit because the source hit its cap.
  • This account is -1.57% in the data covered, down $2,658 on a starting balance of $169,495.
  • The headline masks a sharper story: a profitable core edge in hyna:ETH and BTC shorts was overwhelmed by oversized losses in BTC longs, SOL shorts, and revenge trades that chased losses into larger positions.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Directional accuracy is real. Win rate of 54.51% and primary edges in hyna:ETH shorts and BTC longs show the account can read direction better than chance. The problem is not entry logic; it is what happens after entry.
  • Position sizing into losses is the core leak. Five of the top losses are flagged as oversized, and four of those five are also flagged as averaging down or revenge trades. The account scales notional into underwater positions, turning small losses into large ones. The hyna:BTC short on 4–5 May lost $1,464 on a max notional of $70,165 after averaging down; the hyna:SOL short held for 49 days and lost $1,143 on $97,806 notional after being opened as a revenge trade.
  • Fees are a secondary
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 -1.57% in the data covered, down $2,658 on a starting balance of $169,495. The headline masks a sharper story: a profitable core edge in hyna:ETH and BTC shorts was overwhelmed by oversized losses in BTC longs, SOL shorts, and revenge trades that chased losses into larger positions. The deepest decline in this window reached -28.12%, from a highest balance of $217,014 on 17 June to a lowest balance of $136,099 on 13 May. Fees consumed $2,832 gross, leaving realised PnL at -$172 before costs. The dominant pattern is not poor entry logic but position sizing that scaled into losers and re-entries that compounded them.

What the data shows

The account opened on 3 May 2026 and closed 277 trades over 68 days in the data covered. Realised PnL sits at -$172 after fees, but the closed-trade result obscures the volatility: the account swung from $217,014 to $136,099 and back to $166,837 by the window close. This is not a steady bleed; it is a violent cycle of edge capture followed by deepest decline in this window recovery.

The money was made in two instruments. hyna:ETH generated $2,053 realised PnL across 39 episodes with a 53.85% win rate, driven by short-side edge: $1,633 came from shorts, only $419 from longs. BTC (non-hyna) added $549 across 80 episodes at 63.75% win rate, again skewed long ($459 vs $90 short). hyna:SOL contributed $128 across 37 episodes but with a 45.95% win rate, suggesting noise rather than edge. The losses came from hyna:BTC ($-1,243 across 30 episodes), SOL ($-3,643 across 70 episodes), and hyna:BCH ($-924 on a single trade).

The account's long side lost $1,214 across 53.28% win rate; the short side lost $1,444 across 55.71% win rate. Neither side is profitable in isolation. The asymmetry is not directional but positional: when the account won, it won small ($119.69 average win); when it lost, it lost large ($164.53 average loss). The profit factor is 0.87—for every dollar of gross profit, the account paid $1.15 in losses. Expectancy is -$9.60 per closed trade.

Fees paid $2,832 gross on $17.2M notional volume. The net fee drag is identical to gross fees, meaning no rebates offset execution costs. Maker percentage is 79.64%, so the account is not fighting liquidity, yet fees still consumed the entire realised PnL and then some.

Trade quality

Win rate is 54.51% across 277 closed trades. This is above 50% but profit factor of 0.87 reveals the core problem: wins are smaller than losses. The win/loss ratio of 0.73 confirms it—for every winning trade, the account loses 1.37x the win size on average. Expectancy of -$9.60 per trade means the account is underwater on a per-trade basis despite winning more than half the time.

This is a classic case of right direction, wrong sizing. The account can pick direction better than chance, but position sizing into losers and averaging down into underwater trades has inverted the edge. A 54.51% win rate with proper risk management would be profitable; instead, it is loss-making because losses are oversized relative to wins.

Post-mortems

hyna:BTC long, 8 July 2026, entry $62,703, exit $62,059, -$1,169 loss (16.4 hours).

This trade was flagged as averaging down, oversized loser, and revenge trade. The account opened at $62,703 and added to the position as it fell, reaching a max notional of $104,416. The position hit a maximum adverse excursion of -1.81% before closing at -1.13% realised loss. The structural stop was set at 4.0% (instrument default), but the account held through the stop and exited manually. This is the fourth-largest loss in the window and sits at the end of a sequence of losses that triggered re-entry behaviour.

hyna:SOL short, 19 May – 8 July 2026, entry $84.33, exit $81.46, -$1,143 loss (1,177 hours).

Opened as a revenge trade after a prior loss in hyna:SOL, this short ran for 49 days. The position reached a max notional of $97,806 and showed a maximum favourable excursion of 4.66% at one point, but the account held into a reversal. The structural stop was 0.73% (ATR 14 1h), yet the position was held through multiple breaches. This is a classic case of a winning trade (on paper) left to run into a loss because the account was chasing prior losses with oversized sizing.

What the risk simulator reveals

Under a 1% stop-loss rule applied historically, the account would have realised $1,535 profit with a deepest decline in this window of -15.87%, stopping out 44 trades early. Under 2%, simulated profit rises to $3,069 with a deepest decline of -31.5%. Under 4%, simulated profit reaches $6,138 with a deepest decline of -62.07%. The win rate across all three scenarios is 52.38%, lower than the actual 54.51%, because stops lock in small losses that the account later recovered from. The simulator is gross of fees, so actual net profit would be lower by approximately $2,832.

The key insight: mechanical stops would have prevented the five largest losses (all oversized) and turned the account profitable by $1.5k–$6.1k depending on stop tightness. The account's actual loss of $2,658 is the cost of discretionary hold-through on underwater positions.

Open positions

The account holds a single open BTC long: 0.4472 BTC, entry $63,978, mark $64,124, notional $28,673, 10x leverage on cross margin, held since 10 July 2026 (0 days visible). Unrealised PnL is $65.1 (2.28% ROE). The liquidation price is $52,526, providing $11,598 of downside buffer. No stop is in place. This position is still open; the outcome is unknown until closed, and the liquidation level remains the downside boundary.

Honest summary

  • Directional accuracy is real. Win rate of 54.51% and primary edges in hyna:ETH shorts and BTC longs show the account can read direction better than chance. The problem is not entry logic; it is what happens after entry.
  • Position sizing into losses is the core leak. Five of the top losses are flagged as oversized, and four of those five are also flagged as averaging down or revenge trades. The account scales notional into underwater positions, turning small losses into large ones. The hyna:BTC short on 4–5 May lost $1,464 on a max notional of $70,165 after averaging down; the hyna:SOL short held for 49 days and lost $1,143 on $97,806 notional after being opened as a revenge trade.
  • **Fees are a secondary

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.
68
Examples
  • ETH on May 4, 2026: re-entered at 2,318.67 after closing at 2,353.61 (May 4, 2026 prior close); outcome $15.
  • ETH on May 5, 2026: re-entered at 2,376.78 after closing at 2,381.96 (May 5, 2026 prior close); outcome -$19.
+66 more matching cycles
Averaging downAdded size while the position was already moving against the entry.
129
Examples
  • hyna:BTC on May 3, 2026: added to the position; while it was already moving against entry; outcome $166.
  • hyna:ETH on May 3, 2026: added to the position; while it was already moving against entry; outcome -$387.
+127 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
34
Examples
  • BTC: -$210 realised loss; 4.8x median closed loss.
  • hyna:ETH: -$387 realised loss; 8.9x median closed loss.
+32 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
37
Examples
  • SOL on May 3, 2026: followed a -$210 loss; larger-than-normal size.
  • hyna:ETH on May 3, 2026: followed a -$18 loss; larger-than-normal size.
+35 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.-$9.60
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.+79.6%

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.$1,535
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-15.9%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
44
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.$3,069
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-31.5%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
44
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.$6,138
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-62.1%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
44

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 May 3 with $171k and ends at Jul 10 with $172k.Account value (USD)Date$172k$145k$117kMay 3May 15Jul 10

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.
hyna:ETHshort$60,984$1,3812026-05-17
hyna:BTClong$64,854$1,0202026-05-11
hyna:SOLlong$26,002$9492026-05-09
hyna:ETHshort$80,249$8702026-05-04
hyna:ETHlong$55,056$7492026-05-10

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.
SOL70+48.6%-$3,643
hyna:ETH39+53.9%$2,053
hyna:BTC30+53.3%-$1,243
hyna:BCH10.0%-$924
BTC80+63.8%$549
ETH19+57.9%$237
hyna:ADA1+100.0%$186
hyna:SOL37+46.0%$128
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