RRektrospect

0x1a67ea21ba0f895560590147203d08a832054054

0x1a67...4054 wallet audit

0x1a67...4054 audit. $0 realised trading PnL across 0 closed position cycles, using 0 public fills visible to this audit.

limited sampleLimited sample: only 0 closed position cycles are visible in the data covered (date range unavailable). 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.all visible public fillsThis audit used 0 public fills covering date range unavailable. 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
Read trader analysisShare on X
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.$0all visible fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: date range unavailable. Deposits and withdrawals are not counted as PnL. This is the visible public fill history used by this audit.$0n/a
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: date range unavailable.0.0%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 0 reconstructed public fills. A position cycle can contain many individual fills.$00 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 $0 minus closed trading PnL $0 = starting estimate $0). 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 0 public fills covering date range unavailable. The date range comes from the actual public fill and position-cycle timestamps, not a preset calendar period.date range unavailable

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 duration unavailable of visible trading history.

Public fills
0
Position cycles
0 closed
Limit
public fill cap not hit
Equity curveA historical line showing how the wallet balance moved across the data covered: date range unavailable. It is not a prediction.$0
all visible fillsThis audit used 0 public fills covering date range unavailable. 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: 0 public fills from date range unavailable; 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 audit.
  • Zero closed episodes, zero open episodes, and zero recorded fills mean there is no trading history to analyse.
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, execution quality, or risk management.
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 audit. Zero closed episodes, zero open episodes, and zero recorded fills mean there is no trading history to analyse. The account shows a current balance of $0 and no realised PnL. Without at least one completed trade cycle, no assessment of execution quality, risk management, or trading patterns is possible.

What the data shows

No trades have been recorded in the available fill history. The wallet has recorded zero gross volume, zero fees paid, and zero realised PnL. There are no open or closed positions to examine. The account is currently flat with no active exposure.

Trade quality

No metrics are available. Win rate, profit factor, expectancy, and fee drag cannot be computed from zero closed episodes.

Open positions

No open positions are recorded.

Honest summary

  • The sample is too small to draw any conclusions about trading behaviour, execution quality, or risk management.

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.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.$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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