RRektrospect

0xfae95f601f3a25ace60d19dbb929f2a5c57e3571

0xfae9...3571 wallet audit

0xfae9...3571 audit. $0 realised trading PnL across 0 closed position cycles, using 1,988 public fills from Sep 23, 2024 to Feb 24, 2025.

limited sampleLimited sample: only 0 closed position cycles are visible in the data covered (Sep 23, 2024 to Feb 24, 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.Sep 23-Feb 24 dataThis audit used 1,988 public fills covering Sep 23, 2024 to Feb 24, 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: Sep 23, 2024 to Feb 24, 2025.-39.8%0 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.n/an/a profit factor
Total volumeGross notional traded across 1,988 reconstructed public fills. A position cycle can contain many individual fills.$1,718,4602 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 $2,401,172 minus closed trading PnL $0 = starting estimate $2,401,172). 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 1,988 public fills covering Sep 23, 2024 to Feb 24, 2025. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.Sep 23, 2024 to Feb 24, 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 154 calendar days of visible trading history.

Public fills
1,988
Position cycles
0 closed, 2 open
Limit
public fill cap not hit
Equity curveA historical line showing how the wallet balance moved across the data covered: Sep 23, 2024 to Feb 24, 2025. It is not a prediction.$2,401,172
all visible fillsThis audit used 1,988 public fills covering Sep 23, 2024 to Feb 24, 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 start with $100k and ends at end with $108k.Account value (USD)Date$108k$101k$94kstartmidend
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: 1,988 public fills from Sep 23, 2024 to Feb 24, 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 behavioural or performance conclusions.
  • Only two total episodes are recorded—zero closed trades and two open positions—across 154 days of account activity.
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 draw any conclusions about trading behaviour, edge, or consistency. Two open positions and zero closed trades do not constitute a sufficient basis for audit.
  • No closed-trade data exists, so no assessment of entry quality, exit discipline, or risk management can be made.
  • The account remains at break-even on realised PnL after fees, but this reflects an incomplete trading cycle rather than a meaningful result.
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 behavioural or performance conclusions. Only two total episodes are recorded—zero closed trades and two open positions—across 154 days of account activity. The account sits at break-even on realised PnL after fees ($−754.26 realised loss offset by open positions currently at zero unrealised PnL), with $2.4M in current balance. No closed trade history exists to analyse.

What the data shows

The account opened on 23 September 2024 and has generated 1,988 fills across $1.72M in gross volume. However, the episode count reveals the critical limitation: only two positions have been initiated, neither of which has been closed. This means there is no closed-trade record to examine. The $−754.26 realised loss appears to derive from fees and slippage on the open positions or partial fills that were subsequently reversed, not from completed round-trip trades.

Both open positions are currently live with zero unrealised PnL, suggesting they are either at entry or have been managed to neutral. No stops, targets, or liquidation risk is evident from the data provided. The gross fees paid total $3.13, which is negligible relative to the $1.72M in volume, indicating tight execution or rebate capture.

The absence of closed episodes means there is no win rate, profit factor, expectancy, or loss distribution to interpret. The account has not yet completed a single round-trip trade cycle.

Trade quality

Trade quality metrics are undefined. With zero closed episodes, win rate, profit factor, and expectancy cannot be calculated. No top wins or top losses exist in the record.

Open positions

Two positions are currently open. No details on coin, direction, notional value, entry price, or duration are provided in the evidence pack. Both are marked as unrealised PnL of zero.

Honest summary

  • The sample is too small to draw any conclusions about trading behaviour, edge, or consistency. Two open positions and zero closed trades do not constitute a sufficient basis for audit.
  • No closed-trade data exists, so no assessment of entry quality, exit discipline, or risk management can be made.
  • The account remains at break-even on realised PnL after fees, but this reflects an incomplete trading cycle rather than a meaningful result.

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.n/a
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.+100.0%

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.$0
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.$0
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.$0
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 no simulated closes 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.
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