RRektrospect

0xc5ed4501500fcbfb2b88fb7f0aa52f834ed44346

0xc5ed...4346 wallet audit

0xc5ed...4346 audit. $210 realised trading PnL across 641 closed position cycles, using the latest 10,000 public fills from May 6, 2026 to Jul 10, 2026; older public fills may exist outside this audit.

near break-evenA quick bucket assigned from realised trading PnL, closed position-cycle count, and whether the public fill source was capped. Data covered: May 6, 2026 to Jul 10, 2026. 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 6, 2026 to Jul 10, 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
Max drawdownLargest fall from a previous balance high to a later low inside the data covered: May 6, 2026 to Jul 10, 2026.-24.4%641 closed position cycles
Win rateShare of closed position cycles that ended positive. Profit factor compares total winning realised PnL with total losing realised PnL.+41.5%1.09 profit factor
Total volumeGross notional traded across 10,000 reconstructed public fills. A position cycle can contain many individual fills.$6,965,178681 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 $255,392 minus closed trading PnL $210 = starting estimate $255,182). 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 6, 2026 to Jul 10, 2026. Older trades may exist outside this page, so lifetime claims are avoided.May 6, 2026 to Jul 10, 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
641 closed, 40 open
Limit
latest 10,000 fills only
Equity curveA historical line showing how the wallet balance moved across the data covered: May 6, 2026 to Jul 10, 2026. It is not a prediction.$255,392
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 6, 2026 to Jul 10, 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 May 6 with $255k and ends at Jul 10 with $255k.Account value (USD)Date$256k$256k$255kMay 6May 7Jul 10
Roast summaryA short extract from the full trader analysis below. It is built from the stored numbers and evidence pack.The punchline
  • Data used: latest 10,000 public fills from May 6, 2026 to Jul 10, 2026; older public fills may exist outside this audit because the source hit its cap.
  • You finished up $209.74 on a $255,391 balance across 65 days of trading—technically profitable, but you paid $366.64 in fees to get there, meaning fees ate 175% of your gross edge.
  • The highest balance in this window was $253,088.54 on 2026-07-03; the deepest decline in this window was -24.45% down to $104,287.82 on 2026-05-20.
Reluctant complimentsA plain-language interpretation layer from the trader analysis. Use the cards and tables below for the raw evidence.Where it still works
  • Short bias works. Shorts are +$267.56; longs are -$57.83. Your short win rate is 43.71% vs. long win rate of 39.32%. You're better at selling than buying, and the data shows it.
  • Cash:INTC and xyz:INTC together are legitimate. 139 combined episodes, $414.32 combined realised PnL, 47.5% combined win rate. You have an instrument you understand.
  • You survived a -24.45% deepest decline in this window and clawed back to flat. That's not nothing. Most traders don't recover from a $150k swing.
Roast analysisThis is the full written analysis for this wallet and mode. The metrics, flags, simulator, and tables below are the supporting evidence.Full roast analysis

The opening paragraph

Only the most recent public fills are visible in this data covered. You finished up $209.74 on a $255,391 balance across 65 days of trading—technically profitable, but you paid $366.64 in fees to get there, meaning fees ate 175% of your gross edge. The highest balance in this window was $253,088.54 on 2026-07-03; the deepest decline in this window was -24.45% down to $104,287.82 on 2026-05-20. You're holding five open positions worth $47,376.73 notional, including a fresh PLTR long entered today at 126.688 with 4x leverage and a liquidation boundary at 100.02—unrealised loss of $6.19 already sitting on the books.

The greatest hits

  • AMD twice in one day, both oversized, both red. On 2026-07-10 you shorted AMD at 553.46 for -$135.25 in 2.26 hours, then re-entered the same short at 555.56 and averaged down into -$62.33 in 24 minutes. Combined notional was $8.8m+; combined loss was -$197.58. The evidence pack flags both as revenge trades following earlier losses.
  • WTI long on 2026-05-06 at 95.59 cost $33.14 and was 11.37x the median loss. You sized it like a conviction trade and got stopped for a fast bleed.
  • Five re-entries after closed losses in the first 24 hours. TSLA, INTC (three times), and EWY all got the "one more shot" treatment. INTC re-entries actually clawed back $32.13 + $10.24 on two of them, but the pattern is visible: loss closes, price twitches, you're back in within seconds.
  • Fees are 61.25% of your total PnL. You made $599.50 gross realised PnL; fees took $366.64. Your win rate is 41.5%, your profit factor is 1.09, and your average win ($10.05) is only 1.53x your average loss ($6.57). The math is thin.
  • Cash:INTC is your only real edge: 83 episodes, $265.56 realised, 45.78% win rate. Everything else—AMD, SMSN, DRAM, CRCL, NVDA, ARM—is a no-edge or negative-edge grind. You're profitable because you traded one instrument 83 times and got lucky on sizing.

The pattern

You have a revenge-trade and re-entry reflex that fires within seconds of a closed loss. The behavioural flags list five re-entries, five revenge trades, and five averaging-down episodes, all clustered in the first 48 hours of the data covered. When a position closes red, the next trade is often in the same coin or a related one, at a similar price, within minutes. This isn't edge; it's emotional repair.

The reluctant compliments

  • Short bias works. Shorts are +$267.56; longs are -$57.83. Your short win rate is 43.71% vs. long win rate of 39.32%. You're better at selling than buying, and the data shows it.
  • Cash:INTC and xyz:INTC together are legitimate. 139 combined episodes, $414.32 combined realised PnL, 47.5% combined win rate. You have an instrument you understand.
  • You survived a -24.45% deepest decline in this window and clawed back to flat. That's not nothing. Most traders don't recover from a $150k swing.

The verdict

You're profitable by $209.74 after fees, which is a rounding error on a $255k balance. You have one real edge (INTC), a short bias that works, and a revenge-trading habit that costs you $200+ per occurrence. The fees are eating your lunch. If you traded only INTC and cut the re-entries, you'd be up $400+. Instead, you're treading water on 641 closed episodes.

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.
125
Examples
  • cash:TSLA on May 6, 2026: re-entered at 397.42 after closing at 397.89 (May 6, 2026 prior close); outcome -$0.
  • xyz:TSLA on May 7, 2026: re-entered at 397.16 after closing at 396.82 (May 7, 2026 prior close); outcome $2.
+123 more matching cycles
Averaging downAdded size while the position was already moving against the entry.
62
Examples
  • xyz:INTC on May 6, 2026: added to the position; while it was already moving against entry; outcome $21.
  • hyna:BTC on May 6, 2026: added to the position; while it was already moving against entry; outcome -$21.
+60 more matching cycles
Oversized loserA losing position cycle more than 3x the wallet's median closed loss.
85
Examples
  • cash:HOOD: -$15 realised loss; 5x median closed loss.
  • cash:EWY: -$14 realised loss; 5x median closed loss.
+83 more matching cycles
Revenge tradeOpened a larger-than-normal position within one hour after a closed loss.
60
Examples
  • xyz:COIN on May 6, 2026: followed a -$6 loss; larger-than-normal size.
  • cash:INTC on May 6, 2026: followed a -$5 loss; larger-than-normal size.
+58 more matching cycles
ExpectancyAverage result per closed position cycle after wins and losses are blended. Positive means each completed cycle added money on average.$0.33
Fees / realised PnLFees as a share of realised trading PnL. High values mean execution cost is eating a meaningful part of the edge.+61.3%
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.-$10,606
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-5.1%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
8
2% account-risk ruleThis scenario limits each eligible position cycle to about 2% of account value at the simulated stop.-$21,211
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-10.1%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
8
4% account-risk ruleThis scenario limits each eligible position cycle to about 4% of account value at the simulated stop.-$42,422
Max drawdownLargest high-to-low account-value drop inside this simulated replay.
-19.9%
Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
8

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 May 6 with $255k and ends at Jul 10 with $234k.Account value (USD)Date$259k$246k$233kMay 6May 7Jul 10

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.
cash:EWYlong$14,384$1502026-05-07
xyz:EWYshort$18,250$932026-05-07
xyz:CRCLlong$7,990$712026-07-10
xyz:INTCshort$7,202$672026-05-06
xyz:CRCLlong$7,935$672026-07-10

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.
cash:INTC83+45.8%$266
xyz:AMD14+28.6%-$265
xyz:SMSN56+17.9%-$162
xyz:EWY52+40.4%$153
cash:EWY5+60.0%$150
xyz:INTC56+50.0%$149
xyz:DRAM19+15.8%-$112
xyz:CRCL58+50.0%-$84
xyz:SKHX43+58.1%$70
xyz:ARM40.0%-$51
xyz:NVDA22+27.3%-$50
flx:CRCL9+88.9%$48
hyna:ETH2+50.0%$42
xyz:ORCL5+40.0%$38
hyna:BTC20.0%-$32
cash:WTI28+32.1%-$30
hyna:SOL4+50.0%$29
xyz:COIN25+44.0%$23
xyz:MU20+30.0%$22
xyz:META13+38.5%$21
xyz:BRENTOIL20+40.0%-$17
cash:NVDA2+100.0%$15
cash:SILVER11+45.5%-$13
xyz:HOOD4+25.0%-$12
cash:META3+66.7%$10
cash:GOOGL4+50.0%$9
flx:COIN4+50.0%-$9
flx:OIL3+33.3%-$8
xyz:TSLA23+43.5%$6
cash:TSLA6+50.0%-$5
hyna:HYPE10.0%-$5
xyz:SILVER6+66.7%$5
cash:HOOD7+14.3%$4
xyz:PLTR4+75.0%$4
xyz:MRVL10+60.0%$1
xyz:MSFT10.0%-$1
xyz:AMZN1+100.0%$1
xyz:GOOGL1+100.0%$0
km:US50010+30.0%$0
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