RRektrospect

0xc1d0d326ba4adf5a56d4e1029fc7a3b988e865a7

0xc1d0...65a7 wallet audit

0xc1d0...65a7 audit. -$1,588,077 realised trading PnL across 1 closed position cycles, using the latest 10,000 public fills from May 26, 2025 to May 30, 2025; older public fills may exist outside this audit.

limited sampleLimited sample: only 1 closed position cycles are visible in the data covered (May 26, 2025 to May 30, 2025). 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 26, 2025 to May 30, 2025. 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 26, 2025 to May 30, 2025.0.0%1 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.$19,029,0816 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 -$1,588,077 minus closed trading PnL -$1,588,077 = starting estimate $1,588,077). 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 26, 2025 to May 30, 2025. Older trades may exist outside this page, so lifetime claims are avoided.May 26, 2025 to May 30, 2025

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
1 closed, 5 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 26, 2025 to May 30, 2025. It is not a prediction.-$1,588,077
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 26, 2025 to May 30, 2025. 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 30 with $0 and ends at May 30 with $0.Account value (USD)Date$0May 30
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 26, 2025 to May 30, 2025; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small to draw reliable conclusions about this account's edge or approach.
  • One ARB long position opened 29 May at $0.44 and closed 30 May at $0.37 generated a $1.59M realised loss on $14.4M notional.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Only one closed trade is available; sample is too small to assess consistency, edge, or decision-making patterns.
  • The single loss was large relative to account size, consuming the entire balance in the data covered.
  • Five open positions remain; their status and risk profile cannot be evaluated from the provided data.
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 to draw reliable conclusions about this account's edge or approach. One ARB long position opened 29 May at $0.44 and closed 30 May at $0.37 generated a $1.59M realised loss on $14.4M notional. The account is down 100% in the data covered after $7.3K in fees. With only one closed episode across four days of activity, the sample is too small to isolate whether this was execution error, leverage miscalibration, or a genuine directional miss.

What the data shows

The data covered spans four days from 26 May to 30 May 2025. One closed trade dominates the record: a long ARB position held for 34 hours, entered at $0.44 and exited at $0.37, resulting in a loss of $1.59M on a highest balance in this window notional of $14.4M. The position carried a structural stop 4% below entry, which was not triggered during the hold. Fees of $7.3K were paid on $19M in gross volume, representing a net fee drag of $7.3K against the realised loss. Five open positions remain on the books, though their notional and direction are not specified in the available data.

The single closed trade moved against the entry within the 34-hour window. No winning trades are recorded in the data covered. The account opened with sufficient capital to support the $14.4M notional position, but the loss consumed the entire balance.

Trade quality

Win rate is 0% on one closed episode. Profit factor is undefined—no winning trades to offset losses. Gross fees paid were $7.3K against $19M in volume, a fee ratio of 0.038%. The realised loss of $1.59M dwarfs fee drag, so execution costs were not the primary driver of the loss.

Post-mortems

ARB long, opened 29 May at $0.44, closed 30 May at $0.37. Position size reached $14.4M notional. The trade lost $1.59M over 34 hours. No structural stop was triggered. The exit price of $0.37 represents a 16% decline from entry.

Honest summary

  • Only one closed trade is available; sample is too small to assess consistency, edge, or decision-making patterns.
  • The single loss was large relative to account size, consuming the entire balance in the data covered.
  • Five open positions remain; their status and risk profile cannot be evaluated from the provided data.

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.-$1,588,076.99
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.0.0%

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.-$40,651
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-2.6%
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.-$81,303
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-5.1%
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.-$162,605
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-10.2%
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.

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.

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.
ARB10.0%-$1,588,077
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