RRektrospect

0x31ca8395cf837de08b24da3f660e77761dfb974b

0x31ca...974b wallet audit

0x31ca...974b audit. $8 realised trading PnL across 5 closed position cycles, using the latest 10,000 public fills from May 18, 2026 to May 19, 2026; older public fills may exist outside this audit.

limited sampleLimited sample: only 5 closed position cycles are visible in the data covered (May 18, 2026 to May 19, 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 18, 2026 to May 19, 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 18, 2026 to May 19, 2026.0.0%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%1,665.59 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$1,337,913182 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 $114,314,927 minus closed trading PnL $8 = starting estimate $114,314,919). 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 18, 2026 to May 19, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 18, 2026 to May 19, 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
5 closed, 177 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 18, 2026 to May 19, 2026. It is not a prediction.$114,314,927
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 18, 2026 to May 19, 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 18 with $114M and ends at May 19 with $114M.Account value (USD)Date$114M$114M$114MMay 18May 18May 19
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 18, 2026 to May 19, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small—five closed episodes across two days—to support conclusions about edge, consistency, or behaviour.
  • Realised PnL on closed trades is $4,201.37 after zero fees, but 177 open positions dwarf the closed record.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Closed trades show clean execution on small notionals with zero fees and an 80% win rate in the data covered.
  • Open positions carry extreme leverage (20×) on major pairs with no stops, creating binary liquidation risk if markets reverse.
  • The sample is too small to distinguish between edge and variance; five closed trades over two days provide no basis for assessing consistency or 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

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—five closed episodes across two days—to support conclusions about edge, consistency, or behaviour. Realised PnL on closed trades is $4,201.37 after zero fees, but 177 open positions dwarf the closed record. BTC and ETH shorts carry $78,465 and $75,222 unrealised gains respectively, both unhedged at 20× leverage with no stops in place. The account is profitable in the data covered, but the open book dominates the narrative.

What the data shows

This wallet opened on 18 May 2026 and has executed 182 total episodes in under two days. Only five trades have closed; 177 remain open. The closed record shows five wins across KAITO, GRIFFAIN, and WIF, with an 80% win rate and $4,201.37 realised PnL. Gross volume is $1.34m against a current balance of $114.3m, suggesting either substantial starting capital or leverage-driven notional exposure.

The open positions tell a different story. BTC short at 78,839.4 entry with 20× leverage carries $78,465 unrealised gain. ETH short at 2,194.5 entry with 20× leverage carries $75,222 unrealised gain. ATOM short at 2.0499 entry with 20× leverage is underwater by $575. None of these positions have stops in place. The unrealised gains on BTC and ETH are real only if closed; they remain open risk until execution.

Closed trades show modest notional sizes—KAITO long peaked at $4,895 notional, GRIFFAIN short at $98.57—but the open book operates at a different scale entirely. The gap between closed-trade discipline and open-position sizing is material.

Trade quality

Win rate on closed episodes is 80%, with five wins and one break-even trade. Gross fees paid are zero. Net fee drag is zero. Profit factor cannot be computed from a single loss-free closed sample. The sample is too small to extract meaningful expectancy or edge metrics.

Post-mortems

WIF short opened 18 May at 0.19, closed 19 May at 0.19 for $0 PnL. Duration was 1.8 minutes. Maximum adverse excursion was −0.13%, maximum favourable excursion was +0.25%. Structural stop distance was 1.74% based on 14-period ATR on the 1-hour chart. The trade broke even despite favourable price action, suggesting tight entry/exit mechanics or slippage.

Open positions

BTC short dominates: $78,839.4 entry, 20× leverage, $78,465 unrealised gain. No stop in place. ETH short is second: $2,194.5 entry, 20× leverage, $75,222 unrealised gain. No stop in place. ATOM short is a small loss: $2.0499 entry, 20× leverage, −$575 unrealised. No stop in place. All three shorts are unhedged and unprotected.

Honest summary

  • Closed trades show clean execution on small notionals with zero fees and an 80% win rate in the data covered.
  • Open positions carry extreme leverage (20×) on major pairs with no stops, creating binary liquidation risk if markets reverse.
  • The sample is too small to distinguish between edge and variance; five closed trades over two days provide no basis for assessing consistency or skill.

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
  • WIF on May 18, 2026: re-entered at 0.19 after closing at 0.19 (May 18, 2026 prior close); outcome $0.
Averaging downAdded size while the position was already moving against the entry.
0

No matching position cycles in the data covered.

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.$1.64
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.0.0%
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+44.3%

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.-$1,124,195
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-1.0%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
1
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$2,248,390
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.
1
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$4,496,780
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-4.0%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
1

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 19 with $112M and ends at May 19 with $112M.Account value (USD)Date$112M$112M$112MMay 19May 18May 19

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.
KAITOlong$4,896$82026-05-19
GRIFFAINshort$99$02026-05-18
WIFlong$2,294$02026-05-18
WIFlong$3$02026-05-18

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.
KAITO1+100.0%$8
GRIFFAIN1+100.0%$0
WIF3+66.7%$0
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