- Data used: latest 10,000 public fills from May 6, 2026 to May 7, 2026; older public fills may exist outside this audit because the source hit its cap.
- You're up $118,375 on $6.9M in capital across a single day of trading, which would be hilarious if it weren't for the fact that you've also managed to average down on five separate positions, revenge-traded after your biggest losses, and somehow convinced yourself that a 61x median loss on CL was a reasonable risk.
- The data-covered peak and trough both landed on the same day—you went from $7,023,691 to $7,023,691 with maximum data-covered drawdown of -0.32%—because you compressed enough chaos into 17 hours to make a volatility trader weep.
0x2025137a136bea7446deba681cbfc7cf1970840e
0x2025...840e wallet audit
0x2025...840e audit. $118,375 realised trading PnL across 64 closed position cycles, using the latest 10,000 public fills from May 6, 2026 to May 7, 2026; older public fills may exist outside this audit.
The dollar PnL is the realised result from closed trades in the data covered. The percentage uses an inferred starting value (current account value $7,023,930 minus closed trading PnL $118,375 = starting estimate $6,905,556). 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.
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
- 64 closed, 22 open
- Limit
- latest 10,000 fills only
- You're a 80% maker. On $26.8M gross volume, you paid only $370.72 in fees (0.36% of PnL). That's discipline on execution, even if the position sizing was a dumpster fire.
- Your win rate is exactly 50%, and your profit factor is 3.57. Average winner is $5,136; average loser is -$1,437. That's a real edge in expectancy: $1,849.61 per closed episode. The problem isn't your math—it's that you're testing it on instruments where you have no edge.
- VVV, ORCL, TSLA, NVDA, MSTR, EWY: you found real edges. Six instruments with 100% or near-100% win rates. If you'd sized those normally and left the no-edge stuff alone, the data-covered would have been a clean +$150K with a tenth of the drama.
The opening paragraph
Only the most recent public fills are visible in this data covered. You're up $118,375 on $6.9M in capital across a single day of trading, which would be hilarious if it weren't for the fact that you've also managed to average down on five separate positions, revenge-traded after your biggest losses, and somehow convinced yourself that a 61x median loss on CL was a reasonable risk. The data-covered peak and trough both landed on the same day—you went from $7,023,691 to $7,023,691 with maximum data-covered drawdown of -0.32%—because you compressed enough chaos into 17 hours to make a volatility trader weep.
The greatest hits
- CL became your emotional support instrument. You opened 8 episodes in crude oil across the data covered, won 3, and managed to lose $13,608 on a single long entry at $97.58 that lasted 12 minutes. Then you averaged down twice more on fresh CL longs at $95.26 and $91.48, because the first $13K hole clearly wasn't deep enough. The data-covered max position notional on that first trade was $561,861—on a $7M account—for a 12-minute hold that went -3.07% against you immediately.
- BRENTOIL revenge trade: 36 seconds, -$6,561. You closed a -$13,608 CL loss at 08:50:32, then opened a BRENTOIL long at 08:50:32 with $257K notional. It lasted 36 seconds. The data-covered structural stop was 2.45% away; you lost 1.37% in real time. This is not trading, this is a financial panic button.
- VVV saved your entire day. You opened it after a -$2.64 loss on SP500 short, held for 8.23 hours, and closed for +$139,724. That single trade accounts for 118% of your net realised PnL. Without it, you'd be down $21,350 in the data covered. Everything else was noise with leverage.
- Averaging down on MU short: +$1,580 on the one that worked, but the long version lost -$3,933. You shorted MU at $678.74, added at $678.77 (tight), added again at $685.74 (wider), and closed for a win. Then you went long MU at $660.03, hit -2.8% immediately, and ate -$3,933 on a $320K notional position. Same instrument, opposite conviction, both sized like it was your last trade.
- FOMO re-entries on XYZ100: three closes, three re-entries, three micro-wins. You closed XYZ100 at 08:56, re-entered at 12:14 for +$9.51, closed at 12:15, re-entered at 13:37 for +$10.84, closed at 13:37, re-entered at 13:37 for +$53.27. You were chasing the same instrument across the data covered like it owed you money. The total take was $73.61 across three separate FOMO re-entries.
The pattern
You have a primary edge in VVV, ORCL, MSTR, EWY, TSLA, and NVDA—all "primary_edge" verdicts—but you're drowning that signal in noise. CL, BRENTOIL, SNDK, MU, and CRCL are all "no_edge" instruments, yet they account for the majority of your losses in the data covered. Every time you took a loss, you either averaged down into it or revenge-traded into a different instrument at oversized notional. The data-covered data shows you're profitable despite your process, not because of it.
The reluctant compliments
- You're a 80% maker. On $26.8M gross volume, you paid only $370.72 in fees (0.36% of PnL). That's discipline on execution, even if the position sizing was a dumpster fire.
- Your win rate is exactly 50%, and your profit factor is 3.57. Average winner is $5,136; average loser is -$1,437. That's a real edge in expectancy: $1,849.61 per closed episode. The problem isn't your math—it's that you're testing it on instruments where you have no edge.
- VVV, ORCL, TSLA, NVDA, MSTR, EWY: you found real edges. Six instruments with 100% or near-100% win rates. If you'd sized those normally and left the no-edge stuff alone, the data-covered would have been a clean +$150K with a tenth of the drama.
The verdict
You're profitable because you got lucky on one trade (VVV, +$139K) and competent on a handful of others. You're dangerous because you think averaging down into losses and revenge-trading after -$13K blowups is
Behaviour checksRule-based warnings found in the trading history. They are not moral judgements; they mark patterns worth reviewing.
Rule-based position-cycle checks- xyz:XYZ100 on May 6, 2026: re-entered at 28,357 after closing at 28,396.47 (May 6, 2026 prior close); outcome $10.
- xyz:XYZ100 on May 6, 2026: re-entered at 28,316.28 after closing at 28,342.67 (May 6, 2026 prior close); outcome $11.
- xyz:SP500 on May 6, 2026: added to the position; while it was already moving against entry; outcome -$32.
- xyz:CL on May 6, 2026: added to the position; while it was already moving against entry; outcome -$580.
- xyz:CL: -$13,608 realised loss; 61.1x median closed loss.
- xyz:BRENTOIL: -$6,561 realised loss; 29.5x median closed loss.
- xyz:BRENTOIL on May 6, 2026: followed a -$13,608 loss; larger-than-normal size.
- xyz:BRENTOIL on May 6, 2026: followed a -$6,561 loss; larger-than-normal size.
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.
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -7.9%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 13
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -15.3%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 13
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -29.2%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 13
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.