RRektrospect

0xfc667adba8d4837586078f4fdcdc29804337ca06

0xfc66...ca06 wallet audit

0xfc66...ca06 audit. -$380 realised trading PnL across 2 closed position cycles, using the latest 10,000 public fills from May 10, 2026 to May 12, 2026; older public fills may exist outside this audit.

limited sampleLimited sample: only 2 closed position cycles are visible in the data covered (May 10, 2026 to May 12, 2026). 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.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 10, 2026 to May 12, 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
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Current account valueAccount value from Hyperliquid's public account state when this audit ran. This is a balance snapshot, not proof of lifetime deposits or withdrawals.$112,007,384latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: May 10, 2026 to May 12, 2026. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.-$3800.0%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: May 10, 2026 to May 12, 2026.0.0%2 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.0.0%0 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$40,616,10160 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 $112,007,384 minus closed trading PnL -$380 = starting estimate $112,007,764). 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 10, 2026 to May 12, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 10, 2026 to May 12, 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
2 closed, 58 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 10, 2026 to May 12, 2026. It is not a prediction.$112,007,384
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 10, 2026 to May 12, 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 11 with $112M and ends at May 11 with $112M.Account value (USD)Date$112M$112M$112MMay 11May 11
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 10, 2026 to May 12, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small—just two closed episodes across a 1-day window—to support any meaningful assessment of edge, consistency, or execution quality.
  • Closed trades lost $380.49 after fees.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Sample is too small to draw conclusions about execution, risk management, or market understanding. Two trades across one day provide no basis for pattern recognition.
  • Both closed trades were on illiquid instruments with wide spreads and minimal price discovery; neither trade provides evidence of edge or directional conviction.
  • Three large open positions (58 of 60 episodes) carry 20x leverage with no stops, and the short SOL position is currently down $437k. The account's actual risk exposure is concentrated in open positions, not the closed sample.
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. The sample is too small—just two closed episodes across a 1-day window—to support any meaningful assessment of edge, consistency, or execution quality. Closed trades lost $380.49 after fees. The account is currently long BTC with $3.5k unrealised gain, short ETH with $22k unrealised loss, and short SOL with a $436k unrealised loss. No stops are in place on any position.

What the data shows

Activity spans 1 day (10 May to 12 May 2026) with 60 total episodes: 2 closed, 58 open. The two closed trades were both long entries on illiquid or micro-cap instruments (km:TENCENT and km:SMALL2000), each held briefly and exited at small losses. TENCENT was entered at 466.42 on 11 May, hit a maximum adverse excursion of 0.56%, and closed at 464.52 for a $378 loss after 11 minutes. SMALL2000 was entered at 283.08 on 10 May, held for 18 hours, touched a maximum favourable excursion of 1.38%, but closed at 283.89 for a $2 loss.

Gross volume across all fills is $40.6M; gross fees paid total $2,093. Net fee drag is $2,033, meaning fees consumed nearly the entire realised loss. The account is currently holding three large leveraged positions (20x on each): a long BTC position entered at 81,670 with $3.5k unrealised profit, a short ETH position entered at 2,332.53 with $22k unrealised loss, and a short SOL position entered at 93.83 with $436k unrealised loss. None of these positions have stops in place.

Trade quality

Win rate is 0% across the two closed episodes. Profit factor is undefined (no winning trades). Expectancy cannot be meaningfully calculated from a sample of two trades, one of which lasted 11 minutes and the other 18 hours, both on instruments with minimal liquidity or public price discovery.

Post-mortems

km:TENCENT long, 11 May 2026, 11 minutes: Entered at 466.42, exited at 464.52 for a $378 loss on a $106k notional position. The trade was flagged for averaging down behaviour. Maximum adverse excursion was 0.56%; the structural ATR-based stop was 0.32% away. The position moved against entry immediately and was closed without recovery.

km:SMALL2000 long, 10–11 May 2026, 18 hours: Entered at 283.08, exited at 283.89 for a $2 loss on a $21.5k notional position. No behavioural flags. Maximum favourable excursion reached 1.38%, but the trade was closed at a small loss despite touching profit. Structural stop distance was 0.16%.

Honest summary

  • Sample is too small to draw conclusions about execution, risk management, or market understanding. Two trades across one day provide no basis for pattern recognition.
  • Both closed trades were on illiquid instruments with wide spreads and minimal price discovery; neither trade provides evidence of edge or directional conviction.
  • Three large open positions (58 of 60 episodes) carry 20x leverage with no stops, and the short SOL position is currently down $437k. The account's actual risk exposure is concentrated in open positions, not the closed sample.

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.
0

No matching position cycles in the data covered.

Averaging downAdded size while the position was already moving against the entry.
1
Examples
  • km:TENCENT on May 11, 2026: added to the position; while it was already moving against entry; outcome -$378.
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.-$190.24
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.+86.9%

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.-$2,201,991
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-2.0%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
2
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$4,403,981
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-3.9%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
2
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$8,807,962
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-7.9%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
2

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 11 with $110M and ends at May 11 with $108M.Account value (USD)Date$110M$109M$108MMay 11May 11

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.

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.
km:TENCENT10.0%-$378
km:SMALL200010.0%-$2
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