RRektrospect

0xe357fa9fecb084f0303ff341b0bc55c89f2bb5ce

0xe357...b5ce wallet audit

0xe357...b5ce audit. -$71 realised trading PnL across 2 closed position cycles, using 192 public fills from Mar 17, 2025 to Aug 16, 2025.

limited sampleLimited sample: only 2 closed position cycles are visible in the data covered (Mar 17, 2025 to Aug 16, 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.Mar 17-Aug 16 dataThis audit used 192 public fills covering Mar 17, 2025 to Aug 16, 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
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: Mar 17, 2025 to Aug 16, 2025.-19.7%2 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 192 reconstructed public fills. A position cycle can contain many individual fills.$300,2343 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 $692,330 minus closed trading PnL -$71 = starting estimate $692,401). 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 192 public fills covering Mar 17, 2025 to Aug 16, 2025. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.Mar 17, 2025 to Aug 16, 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 151 calendar days of visible trading history.

Public fills
192
Position cycles
2 closed, 1 open
Limit
public fill cap not hit
Equity curveA historical line showing how the wallet balance moved across the data covered: Mar 17, 2025 to Aug 16, 2025. It is not a prediction.$692,330
all visible fillsThis audit used 192 public fills covering Mar 17, 2025 to Aug 16, 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 Mar 17 with $692k and ends at Aug 16 with $692k.Account value (USD)Date$692k$692k$692kMar 17Aug 16
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: 192 public fills from Mar 17, 2025 to Aug 16, 2025; this is the actual visible trading span, not a preset last-week or last-month period.
  • The sample is too small to draw reliable conclusions about this account's trading approach.
  • Two closed episodes across 151 days of activity produced a net loss of $1.22 after fees on $300k gross volume.
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 repeatable patterns or assess consistency. Two trades do not constitute a meaningful dataset for behavioural or strategic analysis.
  • Both closed trades were losses with no offsetting wins, leaving no basis for evaluating edge or execution quality beyond fee impact.
  • One open position is currently active; its outcome remains unknown and will materially affect the account's realised result once closed.
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 draw reliable conclusions about this account's trading approach. Two closed episodes across 151 days of activity produced a net loss of $1.22 after fees on $300k gross volume. Both trades were losses: a BTC long entered at 83,711 on 17 March 2025 and exited at 83,710 within 8 minutes for –$71.25, and a @195 long opened 15 August 2025 and closed 16 August 2025 for –$0.05. No winning trades are recorded. One open position is currently active. The account holds $692k in current balance.

What the data shows

Activity spans 151 days with only two closed trades, making pattern inference unreliable. The BTC trade on 17 March was a long position sized at $100k notional, entered at 83,711.03 and exited at 83,710.01 in 7.8 minutes. The exit occurred below entry despite a 3% structural stop distance, suggesting the position was closed manually rather than stopped. The trade carried an averaging-down flag, indicating multiple fills were layered into the position before exit. The @195 trade opened 15 August at an unspecified entry price, held for 21 hours across a $13.26 notional position, and closed at 0.0 on 16 August for a $0.05 loss.

Realised PnL totalled –$1.22 after a net fee drag of $69.09 USD. Gross fees paid were $70.08 across $300k in gross volume, representing a 23.3 basis point execution cost. The fee burden nearly matched the realised loss, indicating that execution friction was the dominant cost driver relative to the small net loss.

No winning trades are present in the record. Both closed episodes resulted in losses. The account currently holds one open position.

Trade quality

Win rate is 0% across two closed episodes. Profit factor is undefined—no winning trades exist to offset losses. Expectancy cannot be meaningfully calculated from two trades, one of which was a micro-loss. The BTC trade was the material loss event at –$71.25; the @195 trade was negligible at –$0.05.

Post-mortems

BTC long, 17 March 2025: Entered at 83,711.03, exited at 83,710.01 after 7.8 minutes on a $100k notional position. Loss of $71.25. The trade carried an averaging-down flag, meaning the position was built through multiple fills. The 3% structural stop was in place but the exit occurred above the stop level, indicating manual closure.

@195 long, 15–16 August 2025: Opened 15 August at an unrecorded entry price, held 21 hours on a $13.26 notional position, closed at 0.0 on 16 August for a $0.05 loss. No structural stop was recorded for this trade.

Honest summary

  • The sample is too small to identify repeatable patterns or assess consistency. Two trades do not constitute a meaningful dataset for behavioural or strategic analysis.
  • Both closed trades were losses with no offsetting wins, leaving no basis for evaluating edge or execution quality beyond fee impact.
  • One open position is currently active; its outcome remains unknown and will materially affect the account's realised result once closed.

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.
1
Examples
  • BTC on Mar 17, 2025: added to the position; while it was already moving against entry; outcome -$71.
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.-$35.65
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.+90.6%

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.-$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
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$6
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.-$11
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%-$71
@19510.0%-$0
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