RRektrospect

0x049bdc370620beab340b01072fa580fd57745e7d

0x049b...5e7d wallet audit

0x049b...5e7d audit. $1,702,390 realised trading PnL across 5 closed position cycles, using the latest 10,000 public fills from Apr 30, 2026 to May 7, 2026; older public fills may exist outside this audit.

limited sampleLimited sample: only 5 closed position cycles are visible in the data covered (Apr 30, 2026 to May 7, 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 Apr 30, 2026 to May 7, 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: Apr 30, 2026 to May 7, 2026.-2.1%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.+100.0%inf profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$206,260,5796 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 $6,502,226 minus closed trading PnL $1,702,390 = starting estimate $4,799,836). 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 Apr 30, 2026 to May 7, 2026. Older trades may exist outside this page, so lifetime claims are avoided.Apr 30, 2026 to May 7, 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, 1 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: Apr 30, 2026 to May 7, 2026. It is not a prediction.$6,502,226
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 Apr 30, 2026 to May 7, 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 Apr 30 with $4.8M and ends at May 7 with $6.5M.Account value (USD)Date$6.5M$5.7M$4.8MApr 30May 4May 7
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 Apr 30, 2026 to May 7, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small—five closed episodes across six days of activity—to support conclusions about trader psychology, discipline, or repeatable edge.
  • The account shows +35.47% in the data covered, with all five closed trades profitable.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • All five closed trades were profitable, with both BTC and ETH longs executing at scale during a rising market window.
  • Fees of $49,358 were material relative to the account size at inception, though modest relative to gross PnL.
  • The sample is too small to distinguish between edge, timing, and leverage applied to a favourable directional move in a six-day window.
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 six days of activity—to support conclusions about trader psychology, discipline, or repeatable edge. The account shows +35.47% in the data covered, with all five closed trades profitable. Both BTC and ETH longs executed cleanly; fees consumed $49,358 of gross realised PnL of $1,766,044, leaving net PnL of $1,702,390. The brevity and perfection of the sample warrant caution.

What the data shows

The account opened on 30 April 2026 and closed its final position on 7 May 2026. Five trades closed; one remains open. ETH generated $886,175 in realised PnL across three episodes (100% win rate on closed ETH trades); BTC generated $816,214 across two episodes (100% win rate on closed BTC trades). The two largest closed wins were a BTC long opened 4 May, closed 7 May at $79,975.95 for $493,039, and an ETH long opened 4 May, closed 7 May at $2,297.87 for $478,982. Both trades held maximum notional positions exceeding $39 million. No short positions appear in the closed record. No losing trades appear in the data covered.

Gross volume traded was $206.3 million; fees paid totalled $49,358, representing a net fee drag of 2.8% of gross realised PnL. The account began with approximately $4.8 million in starting capital (implied from current balance of $6.5 million and realised PnL of $1.7 million) and deployed leverage aggressively into directional longs during a favourable price window.

Trade quality

Win rate is 100% across five closed episodes. Profit factor is infinite—no losses recorded in the data covered. Expectancy cannot be meaningfully calculated from a five-trade sample. The absence of any losing trade, combined with the short time horizon and large position sizes, means the sample is too small to assess consistency or risk management under adverse conditions.

Open positions

One position remains open. No details on entry price, current mark, or stop placement are provided in the evidence pack.

Honest summary

  • All five closed trades were profitable, with both BTC and ETH longs executing at scale during a rising market window.
  • Fees of $49,358 were material relative to the account size at inception, though modest relative to gross PnL.
  • The sample is too small to distinguish between edge, timing, and leverage applied to a favourable directional move in a six-day window.

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.
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.$340,477.99
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+2.8%
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+11.5%

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.$51,397
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.$102,794
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.$205,589
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.

No simulator curve yetThis wallet has 1 simulated close with usable stop and candle data. The cards above are scenario totals; a time-series curve needs at least two simulated closes.

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.
BTClong$39,659,475$493,0392026-05-07
ETHlong$39,632,385$478,9822026-05-07
ETHshort$45,276,895$389,3562026-05-04
BTClong$45,807,631$323,1762026-05-04
ETHshort$12,159,931$17,8382026-04-30

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.
ETH3+100.0%$886,175
BTC2+100.0%$816,214
Share this audit on X