RRektrospect

0xfae95f601f3a25ace60d19dbb929f2a5c57e3571

0xfae9...3571 wallet audit

0xfae9...3571 audit. $0 realised trading PnL across 0 closed position cycles, using 1,989 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 1,989 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 1,989 reconstructed public fills. A position cycle can contain many individual fills.$1,718,4712 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 $4,140,655 minus closed trading PnL $0 = starting estimate $4,140,655). 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 1,989 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
1,989
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.$4,140,655
all visible fillsThis audit used 1,989 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: 1,989 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 draw meaningful conclusions about this account's trading approach.
  • With only two closed episodes and zero realised PnL after fees across 154 days of activity, the account sits at break-even on closed trades while holding two open positions worth $4.14M.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Gross volume of $1.72M indicates active trading despite minimal closed-trade count.
  • Fee efficiency is strong; net fee drag of $3.14 on $1.72M volume is negligible.
  • The sample is too small to identify strengths or weaknesses in trade execution, position management, or risk control.
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 meaningful conclusions about this account's trading approach. With only two closed episodes and zero realised PnL after fees across 154 days of activity, the account sits at break-even on closed trades while holding two open positions worth $4.14M. The sample is too small to assess consistency, edge, or behavioural patterns.

What the data shows

This wallet opened on 23 September 2024 and has executed 1,989 fills across $1.72M gross volume. Two positions have been closed; both generated zero net PnL after a net fee drag of $3.14. Two positions remain open, representing the entirety of current exposure.

The closed-trade result—zero dollars realised—offers no signal about execution quality or directional bias. With no wins and no losses recorded in closed episodes, there is no win rate, profit factor, or expectancy to interpret. The account has paid $3.14 in net fees against $1.72M in gross volume, a ratio of 0.0002%, which is immaterial.

The open positions carry the account's current balance of $4.14M. Without closed-trade history, the relationship between entry, exit, and fee friction cannot be examined. The absence of closed episodes means no pattern of position sizing, hold duration, or entry/exit discipline is visible.

Trade quality

Win rate, profit factor, and expectancy are undefined with zero closed episodes. No interpretation is possible.

Open positions

Two open positions are held. No details on notional, leverage, margin type, entry date, or liquidation price are provided in the evidence pack. Current unrealised PnL across open positions is zero.

Honest summary

  • Gross volume of $1.72M indicates active trading despite minimal closed-trade count.
  • Fee efficiency is strong; net fee drag of $3.14 on $1.72M volume is negligible.
  • The sample is too small to identify strengths or weaknesses in trade execution, position management, or risk control.

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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