RRektrospect

0x01d734e9e7847248864c2c7bbab16c4d5e04a990

0x01d7...a990 wallet audit

0x01d7...a990 audit. -$26 realised trading PnL across 1 closed position cycles, using 23 public fills from May 15, 2025.

limited sampleLimited sample: only 1 closed position cycles are visible in the data covered (May 15, 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.May 15 dataThis audit used 23 public fills covering May 15, 2025. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.
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.$6,840,832May 15
Realised trading PnLClosed trading profit or loss after fees in the data covered: May 15, 2025. Deposits and withdrawals are not counted as PnL. This is the visible public fill history used by this audit.-$260.0%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: May 15, 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 23 reconstructed public fills. A position cycle can contain many individual fills.$103,1351 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 $6,840,832 minus closed trading PnL -$26 = starting estimate $6,840,858). 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.

Data coveredThis audit used 23 public fills covering May 15, 2025. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.May 15, 2025

This is not a fixed last-week or last-month period. It is the actual span covered by the public fills used for this wallet, so the page should be read as 1 calendar day of visible trading history.

Public fills
23
Position cycles
1 closed
Limit
public fill cap not hit
Equity curveA historical line showing how the wallet balance moved across the data covered: May 15, 2025. It is not a prediction.$6,840,832
all visible fillsThis audit used 23 public fills covering May 15, 2025. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.
Equity curve by date and account valueX-axis shows date. Y-axis shows account value in US dollars. The line starts at May 15 with $6.8M and ends at May 15 with $6.8M.Account value (USD)Date$6.8MMay 15
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: 23 public fills from May 15, 2025; this is the actual visible trading span, not a preset last-week or last-month period.
  • The sample is too small to support any meaningful assessment of this account's trading patterns or edge.
  • A single BTC short trade opened and closed on 15 May 2025 within two minutes resulted in a $25.91 loss.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • The sample is too small to identify any repeatable patterns, strengths, or weaknesses in execution or decision-making.
  • Fees represented a material drag relative to the single trade's realised outcome.
  • limited sample to comment on risk management, position sizing, or trade selection discipline.
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

The sample is too small to support any meaningful assessment of this account's trading patterns or edge. A single BTC short trade opened and closed on 15 May 2025 within two minutes resulted in a $25.91 loss. The account is near break-even after fees, with $46.41 in gross fees paid against $20.50 in total realised PnL. No conclusions about consistency, risk management, or trade selection can be drawn from one closed episode.

What the data shows

The account executed one trade: a short position in BTC entered at 103,155.05 and exited at 103,114.00 on 15 May 2025. The position was held for 0.02 hours (approximately 72 seconds). Maximum notional exposure was $51,572.50. The trade closed at a loss of $25.91.

Fees consumed the majority of the realised PnL. Gross fees paid were $46.41 against a gross closed trade volume of $103,134.52, representing a fee rate of approximately 0.045%. The net fee drag of $46.41 exceeded the realised PnL of $20.50, leaving the account with a net loss after execution costs.

The trade carried a structural stop at 3.0% distance from entry, consistent with instrument defaults. No winning trades are recorded in the available history.

Trade quality

Win rate is 0% based on one closed episode. Profit factor is undefined with no winning trades. The single trade generated negative expectancy. These metrics are not actionable on a sample of one.

Post-mortem

On 15 May 2025, a short position in BTC was opened at 103,155.05 and closed at 103,114.00 after 0.02 hours, realising a loss of $25.91 on $51,572.50 notional exposure. The exit occurred 41 basis points below entry. No behavioural flags are attached to this trade.

Honest summary

  • The sample is too small to identify any repeatable patterns, strengths, or weaknesses in execution or decision-making.
  • Fees represented a material drag relative to the single trade's realised outcome.
  • limited sample to comment on risk management, position sizing, or trade selection discipline.

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.-$25.91
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+226.4%
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.$1
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.$3
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.$5
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.

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.
BTC10.0%-$26
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