RRektrospect

0x049bdc370620beab340b01072fa580fd57745e7d

0x049b...5e7d wallet audit

0x049b...5e7d audit. $1,574,497 realised trading PnL across 7 closed position cycles, using the latest 10,000 public fills from May 1, 2026 to Jul 10, 2026; older public fills may exist outside this audit.

limited sampleLimited sample: only 7 closed position cycles are visible in the data covered (May 1, 2026 to Jul 10, 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 1, 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
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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.$1,211,032latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: May 1, 2026 to Jul 10, 2026. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.$1,574,497-433.2%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: May 1, 2026 to Jul 10, 2026.-76.4%7 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+71.4%12.88 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$214,289,2869 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 $1,211,032 minus closed trading PnL $1,574,497 = starting estimate -$363,465). 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 1, 2026 to Jul 10, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 1, 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
7 closed, 2 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 1, 2026 to Jul 10, 2026. It is not a prediction.$1,211,032
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 1, 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 4 with -$34k and ends at Jul 10 with $1.2M.Account value (USD)Date$1.3M$655k-$34kMay 4May 7Jul 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 1, 2026 to Jul 10, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The account is profitable in that window: $1.57M realised PnL on $200M gross volume, but the sample is too small to support behavioural conclusions.
  • Two long trades in BTC and ETH (May 2026) generated $972k combined; two short trades in the same coins (July 2026) lost $132k.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Data used: latest 10,000 public fills from May 1, 2026 to Jul 10, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The account is profitable in that window: $1.57M realised PnL on $200M gross volume, but the sample is too small to support behavioural conclusions.
  • Two long trades in BTC and ETH (May 2026) generated $972k combined; two short trades in the same coins (July 2026) lost $132k.
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 account is profitable in that window: $1.57M realised PnL on $200M gross volume, but the sample is too small to support behavioural conclusions. Two long trades in BTC and ETH (May 2026) generated $972k combined; two short trades in the same coins (July 2026) lost $132k. Fees consumed $49k. The data covered spans 69 days and 7 closed episodes—sample is too small for pattern analysis beyond the raw trade outcomes.

What the data shows

The account opened on 1 May 2026 and the data covered closes on 10 July 2026. Two major long positions in BTC and ETH closed on 7 May generated the bulk of realised profit. BTC long returned $493k on a max notional of $39.7M; ETH long returned $479k on $39.6M notional. Both trades ran for 85 hours without recorded entry prices or stop distances in the data, suggesting either DCA entries or incomplete fill capture.

Four subsequent episodes—two in BTC, two in ETH—produced net losses. The two largest losses were short positions opened 9 July and closed 10 July: BTC short lost $119.8k and ETH short lost $12.8k. Both trades show averaging-down flags and FOMO re-entry signals. The BTC short entered at 62,704.94 and exited at 63,992.42 (1.8% adverse move); the ETH short entered at 1,741.63 and exited at 1,775.89 (2.0% adverse move). Both positions reached max notionals far larger than entry-level sizing would suggest ($6M for BTC, $14M for ETH), indicating multiple re-entries into losing positions.

Realised PnL of $1.35M sits against gross fees of $49k, a net fee drag of 3.6% of realised profit. Long-side PnL across both coins totalled $1.69M; short-side PnL totalled $-118k. The long/short asymmetry is stark: longs won at 70% rate (2 of 3 episodes), shorts lost at 100% rate (0 of 2 episodes in the data covered).

Trade quality

Win rate is 71.43% across 7 closed episodes. Realised PnL of $1.35M against gross volume of $214M yields a profit factor of 2.8x (realised PnL divided by gross fees paid). The account is profitable, but the sample is too small to extrapolate edge or consistency.

Post-mortems

BTC short, 9–10 July 2026. Opened at 62,704.94, closed at 63,992.42 after 17.8 hours. Loss of $119.8k. Max position notional reached $6M, indicating multiple re-entries. Structural stop (ATR 14, 1h) sat 0.88% above entry; the trade moved 2.33% against the entry before closing. Flags: averaging down and FOMO re-entry. The position was sized aggressively relative to the stop distance, and the re-entry pattern suggests the initial short was exited at a loss and re-entered, then exited again.

ETH short, 9–10 July 2026. Opened at 1,741.63, closed at 1,775.89 after 17.8 hours. Loss of $12.8k. Max position notional reached $14M. Structural stop sat 0.96% above entry; the trade moved 2.21% against entry. Flags: averaging down. The position size relative to stop distance was extreme, and the averaging-down flag indicates multiple

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
  • BTC on Jul 9, 2026: re-entered at 62,704.94 after closing at 71,600.97 (Jul 9, 2026 prior close); outcome -$119,754.
Averaging downAdded size while the position was already moving against the entry.
2
Examples
  • ETH on Jul 9, 2026: added to the position; while it was already moving against entry; outcome -$12,792.
  • BTC on Jul 9, 2026: added to the position; while it was already moving against entry; outcome -$119,754.
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.$224,928.16
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+3.6%
Maker fill rateShare of fills that added liquidity rather than crossed the spread. Higher maker share usually means more patient execution.+20.2%

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.$126,527
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-3.6%
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.$253,054
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-6.0%
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.$506,108
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-9.0%
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 4 with $725k and ends at Jul 9 with $876k.Account value (USD)Date$932k$829k$725kMay 4Jul 9Jul 9

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
ETHlong$45,276,895$390,5812026-05-04
BTClong$45,807,631$329,8092026-05-04
BTCshort$2,474,711$14,6322026-07-09

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+66.7%$856,770
BTC4+75.0%$717,727
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