RRektrospect

0x20b141d3b74779d96b48b966807d719d5dfa08a6

0x20b1...08a6 wallet audit

0x20b1...08a6 audit. -$15,834,666 realised trading PnL across 1 closed position cycles, using the latest 10,000 public fills from May 22, 2025 to May 23, 2025; older public fills may exist outside this audit.

limited sampleLimited sample: only 1 closed position cycles are visible in the data covered (May 22, 2025 to May 23, 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.latest 10,000 fillsHyperliquid's public fills source is capped for very active wallets. This audit used the latest 10,000 public fills it could retrieve, covering May 22, 2025 to May 23, 2025. Older trades may exist outside this page, so lifetime claims are avoided.
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.-$15,834,666latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: May 22, 2025 to May 23, 2025. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.-$15,834,666-100.0%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: May 22, 2025 to May 23, 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 10,000 reconstructed public fills. A position cycle can contain many individual fills.$40,357,8541 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 -$15,834,666 minus closed trading PnL -$15,834,666 = starting estimate $15,834,666). 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. Older fills may also exist outside the latest 10,000-fill window.

Data coveredHyperliquid's public fills source is capped for very active wallets. This audit used the latest 10,000 public fills it could retrieve, covering May 22, 2025 to May 23, 2025. Older trades may exist outside this page, so lifetime claims are avoided.May 22, 2025 to May 23, 2025

This is not a fixed last-week or last-month period. It is the actual span covered by the latest 10,000 public fills Hyperliquid exposed for this wallet. Because the public fill source hit its cap, older trades may exist but are not included here.

Public fills
10,000
Position cycles
1 closed
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 22, 2025 to May 23, 2025. It is not a prediction.-$15,834,666
latest fills onlyHyperliquid's public fills source is capped for very active wallets. This audit used the latest 10,000 public fills it could retrieve, covering May 22, 2025 to May 23, 2025. Older trades may exist outside this page, so lifetime claims are avoided.
Equity curve by date and account valueX-axis shows date. Y-axis shows account value in US dollars. The line starts at May 23 with $0 and ends at May 23 with $0.Account value (USD)Date$0May 23
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: latest 10,000 public fills from May 22, 2025 to May 23, 2025; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small to support any meaningful behavioural analysis: a single closed HYPE short position opened 22 May 2025 and exited 23 May 2025 produced a realised loss of $15.83m on a $47.3m notional short.
  • The position ran for 8.89 hours and closed at 33.63.
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 pattern, edge, or structural weakness. One trade cannot support conclusions about consistency, risk management, or decision-making.
  • The loss was severe relative to the notional size deployed, but without entry price, hold duration context, or multiple episodes, no causal analysis is possible.
  • Data scope: only the most recent 10,000 fills are visible. Earlier activity, if any, is not included in this audit.
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

Only the most recent public fills are visible, so this audit covers the data covered rather than full account history. The sample is too small to support any meaningful behavioural analysis: a single closed HYPE short position opened 22 May 2025 and exited 23 May 2025 produced a realised loss of $15.83m on a $47.3m notional short. The position ran for 8.89 hours and closed at 33.63. No open positions remain.

What the data shows

The data covered contains exactly one trade: a short sale of HYPE initiated on 22 May at an unknown entry price and closed on 23 May at 33.63. The position reached a maximum notional size of $47.28m and generated a realised loss of $15.83m before fees. Gross fees paid were $10,296.22 against a gross volume of $40.36m, leaving a net realised loss of $15.82m after execution costs.

The loss magnitude and single-trade structure mean the account balance is now negative $15.83m in the data covered. No winning trades exist in the visible record. The short direction was the only direction attempted.

Trade quality

Win rate is 0%. Profit factor is undefined because no winning trades were closed. The single episode produced a loss, making expectancy negative. These metrics are not meaningful with a sample of one.

Post-mortems

HYPE short, opened 22 May 2025, closed 23 May 2025 at 33.63. Maximum notional exposure was $47.28m. Realised loss: $15.83m. The position held for 8.89 hours. Entry price is not recorded in the available data. No structural stop was in place.

Honest summary

  • The sample is too small to identify any repeatable pattern, edge, or structural weakness. One trade cannot support conclusions about consistency, risk management, or decision-making.
  • The loss was severe relative to the notional size deployed, but without entry price, hold duration context, or multiple episodes, no causal analysis is possible.
  • Data scope: only the most recent 10,000 fills are visible. Earlier activity, if any, is not included in this audit.

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.-$15,834,665.93
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.+54.4%

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.
HYPE10.0%-$15,834,666
Share this audit on X