RRektrospect

0x6b26f66f460fd173b009d0c7a478ca400470e03f

0x6b26...e03f wallet audit

0x6b26...e03f audit. -$9,460,182 realised trading PnL across 3 closed position cycles, using the latest 10,000 public fills from Jan 6, 2026 to Feb 5, 2026; older public fills may exist outside this audit.

limited sampleLimited sample: only 3 closed position cycles are visible in the data covered (Jan 6, 2026 to Feb 5, 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 Jan 6, 2026 to Feb 5, 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
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.$2,201latest 10,000 fills
Realised trading PnLClosed trading profit or loss after fees in the data covered: Jan 6, 2026 to Feb 5, 2026. Deposits and withdrawals are not counted as PnL. Older public fills may exist outside this audit.-$9,460,182-100.0%
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: Jan 6, 2026 to Feb 5, 2026.-99.7%3 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+33.3%0.01 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$68,946,1545 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 $2,201 minus closed trading PnL -$9,460,182 = starting estimate $9,462,382). 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 Jan 6, 2026 to Feb 5, 2026. Older trades may exist outside this page, so lifetime claims are avoided.Jan 6, 2026 to Feb 5, 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
3 closed, 2 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: Jan 6, 2026 to Feb 5, 2026. It is not a prediction.$2,201
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 Jan 6, 2026 to Feb 5, 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 6 with $9.5M and ends at Feb 5 with $2.2k.Account value (USD)Date$9.5M$4.8M$2.2kJan 6Jan 25Feb 5
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 Jan 6, 2026 to Feb 5, 2026; older public fills may exist outside this audit because the source hit its cap.
  • The sample is too small—three closed trades over 30 days—to support behavioural or skill-based conclusions.
  • The account is -99.98% in the data covered, having lost $9.46M on a starting capital base that is now $2,200.
Analysis readoutA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Strengths & weaknesses
  • One trade (ZEC) was profitable; the other two consumed the entire account edge and more.
  • The SOL position shows a structural stop was defined but not honoured, with averaging down extending the loss.
  • The sample is too small to draw conclusions about edge, consistency, or underlying approach.
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—three closed trades over 30 days—to support behavioural or skill-based conclusions. The account is -99.98% in the data covered, having lost $9.46M on a starting capital base that is now $2,200. Two outsized long positions in SOL and DOGE account for nearly all losses; a single ZEC long generated the only win.

What the data shows

The account opened on 6 January 2026 with a ZEC long that closed 2.41 hours later for $60,660 profit on a $18.9M notional position. This trade carried no structural stop and no recorded entry price, suggesting a market-order or partial-fill execution.

On 25 January, a DOGE long opened and closed within 0.92 hours for a $2.82M loss on $12.5M notional. No entry price is recorded; the exit was at $0.12. No structural stop was in place.

The largest loss came from a SOL long opened on 7 January at $138.30 and closed on 5 February at $100.30, a 27.5% decline over 705 hours. The position reached $24.4M notional and carried an ATR-14 1-hour structural stop set 1.76% below entry. The trade is flagged for averaging down, indicating the position was added to during the deepest decline in this window rather than exited at the stop level.

Realised PnL totalled -$9.45M against $68.9M gross volume. Fees paid were $13,327, a net drag of 0.019% of volume—immaterial relative to the directional losses. The win rate is 33%, with one winner offsetting two large losers.

Trade quality

With only three closed episodes, the sample is too small to establish meaningful win-rate or expectancy patterns. The single profitable trade (ZEC) generated $60,660 on a $18.9M notional position. The two losses consumed $9.52M combined. Fees were negligible relative to directional PnL swings.

Post-mortems

ZEC long, 6 January–6 January 2026. Opened and closed within 2.41 hours at $510.85 exit, generating $60,660 profit on $18.9M notional. No entry price recorded; no structural stop in place. This trade stands alone as the only closed winner in the data covered.

DOGE long, 25 January–25 January 2026. Opened and closed within 0.92 hours at $0.12 exit for a $2.82M loss on $12.5M notional. No entry price or structural stop recorded. The rapid close suggests a forced liquidation or panic exit.

SOL long, 7 January–5 February 2026. Entered at $138.30, exited at $100.30 after 705 hours, realising a $6.70M loss on $24.4M notional. An ATR-14 1-hour structural stop was set 1.76% below entry at approximately $135.87. The trade is flagged for averaging down, indicating additional capital was deployed into the position as it declined, overriding the stop discipline and extending the hold until the eventual exit 27.5% lower.

Honest summary

  • One trade (ZEC) was profitable; the other two consumed the entire account edge and more.
  • The SOL position shows a structural stop was defined but not honoured, with averaging down extending the loss.
  • The sample is too small to draw conclusions about edge, consistency, or underlying approach.

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.
1
Examples
  • SOL on Jan 7, 2026: added to the position; while it was already moving against entry; outcome -$6,700,806.
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.-$3,153,393.87
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.+70.4%

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.-$137,382
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-2.0%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
1
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$274,764
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-4.1%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
1
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$549,528
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-8.2%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
1

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 1 simulated close 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.
ZEClong$18,903,207$60,6602026-01-06

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.
SOL10.0%-$6,700,806
DOGE10.0%-$2,820,036
ZEC1+100.0%$60,660
Share this audit on X