RRektrospect

0xb317d2bc2d3d2df5fa441b5bae0ab9d8b07283ae

0xb317...83ae wallet audit

0xb317...83ae audit. -$127,501,561 realised trading PnL across 2 closed position cycles, using the latest 10,000 public fills from Nov 4, 2025 to Jan 31, 2026; older public fills may exist outside this audit.

limited sampleLimited sample: only 2 closed position cycles are visible in the data covered (Nov 4, 2025 to Jan 31, 2026). 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 Nov 4, 2025 to Jan 31, 2026. 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
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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.$91latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: Nov 4, 2025 to Jan 31, 2026. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.-$127,501,561-100.0%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: Nov 4, 2025 to Jan 31, 2026.-100.0%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 10,000 reconstructed public fills. A position cycle can contain many individual fills.$518,367,6194 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 $91 minus closed trading PnL -$127,501,561 = starting estimate $127,501,652). 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 Nov 4, 2025 to Jan 31, 2026. Older trades may exist outside this page, so lifetime claims are avoided.Nov 4, 2025 to Jan 31, 2026

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
2 closed, 2 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: Nov 4, 2025 to Jan 31, 2026. It is not a prediction.$91
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 Nov 4, 2025 to Jan 31, 2026. 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 Jan 31 with $122M and ends at Jan 31 with $91.Account value (USD)Date$122M$61M$91Jan 31Jan 31
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 Nov 4, 2025 to Jan 31, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small—two closed episodes across 88 days of activity—to support behavioural or skill-based conclusions.
  • Both trades are losses: ETH long from 5 November 2025 to 31 January 2026 lost $121.9m on a $535.9m notional position; SOL long from 12 December 2025 to 31 January 2026 lost $5.7m on a $62.8m notional.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • Both positions were sized at extreme notional values relative to the starting capital, indicating either inherited leverage or aggressive position scaling.
  • Both trades moved against entry immediately and continuously, with no recovery phase visible in the data covered.
  • The sample is too small to draw conclusions about edge, risk management discipline, or decision-making patterns.
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—two closed episodes across 88 days of activity—to support behavioural or skill-based conclusions. Both trades are losses: ETH long from 5 November 2025 to 31 January 2026 lost $121.9m on a $535.9m notional position; SOL long from 12 December 2025 to 31 January 2026 lost $5.7m on a $62.8m notional. Combined realised loss is $127.5m. Current balance is $90.96.

What the data shows

The data covered spans 88 days and contains two closed long positions, both opened during a period of sustained crypto weakness and both closed on the same date. The ETH position ran for 2,105 hours (87.7 days) from entry at $3,085.89 to exit at $2,222.40, a 28% decline. The SOL position ran for 1,210 hours (50.4 days) from entry at $125.34 to exit at $98.28, a 21.6% decline. Both positions were sized aggressively: ETH reached a maximum notional of $535.9m and SOL reached $62.8m, suggesting leverage was applied to both.

Both trades carry the flag "averaging_down", indicating additional capital was deployed into losing positions rather than positions being exited or reduced. The ETH position had a structural stop distance of 4.53% from entry; the SOL position had a structural stop distance of 1.93%. Neither stop was triggered before the positions were closed on 31 January 2026.

Gross fees paid were $58,966.76 on $518.4m in gross volume, representing a net fee drag of $58,966.76. Realised PnL after fees is -$127.9m. There are currently two open positions in the wallet, though the evidence pack does not detail their composition or notional exposure.

Trade quality

Win rate is 0% across two closed episodes. There are no winning trades in the data covered. Profit factor is undefined (no wins to offset losses). The sample is too small to extrapolate patterns or assess consistency.

Post-mortems

ETH long, 5 November 2025 to 31 January 2026. Entry at $3,085.89, exit at $2,222.40. Position size reached $535.9m notional. Loss: $121.85m. The position was held for 2,105 hours through a 28% price decline. Averaging_down flag indicates capital was added to the position as it moved against entry. Structural stop was set at 4.53% distance but was not executed.

SOL long, 12 December 2025 to 31 January 2026. Entry at $125.34, exit at $98.28. Position size reached $62.8m notional. Loss: $5.65m. The position was held for 1,210 hours through a 21.6% price decline. Averaging_down flag indicates capital was added as the position deteriorated. Structural stop was set at 1.93% distance but was not executed.

Honest summary

  • Both positions were sized at extreme notional values relative to the starting capital, indicating either inherited leverage or aggressive position scaling.
  • Both trades moved against entry immediately and continuously, with no recovery phase visible in the data covered.
  • The sample is too small to draw conclusions about edge, risk management discipline, or decision-making patterns.

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.
2
Examples
  • ETH on Nov 5, 2025: added to the position; while it was already moving against entry; outcome -$121,850,330.
  • SOL on Dec 12, 2025: added to the position; while it was already moving against entry; outcome -$5,651,231.
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.-$63,750,780.40
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.+46.5%

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.-$1,384,917
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-1.1%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
2
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$2,769,835
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-2.2%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
2
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$5,539,669
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-4.3%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
2

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.

Equity curve by date and account valueX-axis shows date. Y-axis shows account value in US dollars. The line starts at Nov 24 with $128M and ends at Dec 25 with $125M.Account value (USD)Date$128M$126M$125MNov 24Dec 25

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.
ETH10.0%-$121,850,330
SOL10.0%-$5,651,231
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