- 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 $828 on $124k, which is genuinely profitable—but the data covered reveals something uglier: you paid $286 in fees to make $1,154 in gross profit, meaning fees ate 24.77% of your edge.
- You opened 435 closed episodes in roughly 7 hours on May 6-7, 2026.
0xc5ed4501500fcbfb2b88fb7f0aa52f834ed44346
0xc5ed...4346 wallet audit
0xc5ed...4346 audit. $828 realised trading PnL across 435 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 $125,447 minus closed trading PnL $828 = starting estimate $124,619). 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
- 435 closed, 34 open
- Limit
- latest 10,000 fills only
- The edge is real. cash:INTC at +$314.59 on 92 episodes and xyz:INTC at +$167.20 on 61 episodes prove you can read these instruments. Your win rate on cash:INTC is 46.74% but your profit factor is 1.76—you're making 2x as much per win as you lose per loss.
- You can catch reversals. The top win on xyz:INTC at +$66.72 came after averaging down and a FOMO re-entry. You entered at $112.44 after closing at $112.58, the trade went to -0.18% MAE and then ripped to +1.37% MFE. That's not luck; that's reading momentum.
- The simulated 4% risk model shows +$32k gross. If you could sit still and let positions breathe, the data covered suggests your edge would scale linearly. You're not broken; you're just unable to hold.
The opening paragraph
Only the most recent public fills are visible in this data covered. You're up $828 on $124k, which is genuinely profitable—but the data covered reveals something uglier: you paid $286 in fees to make $1,154 in gross profit, meaning fees ate 24.77% of your edge. You opened 435 closed episodes in roughly 7 hours on May 6-7, 2026. That's not trading; that's slot-machine velocity with a slight positive tilt.
The greatest hits
- HOOD short on xyz: the -$77 masterclass in conviction. You shorted it at $78.26, it went to $78.96, you exited at the structural stop. Max notional was $5,460. The data-covered drawdown on that single trade was brutal relative to your account size, and it was oversized. Then you chased it five more times across different venues because apparently the first loss wasn't instructive enough.
- Five INTC re-entries in 2.5 hours. Closed at $112.98, reopened at $112.95 (+$21). Closed at $113.51, reopened at $113.49 (-$5.84). Closed at $113.50, reopened at $113.43 (+$54). Closed at $112.58, reopened at $112.44 (+$66). Closed at $111.85, reopened at $111.19 (-$0.76). You made $135 net on those five re-entries, but the pattern is pure FOMO—you couldn't sit still for 2 minutes.
- Revenge trades after losses. Lost $77 on xyz:HOOD, opened cash:INTC at $8,956 notional 12 minutes later. Lost $20 on cash:META, opened cash:SILVER at $8,721 notional. Lost $21 on cash:EWY, opened hyna:BTC at $13,518 notional. You were playing whack-a-mole with your emotions, not your edge.
- Averaging down HOOD short twice in 22 seconds. Opened short at $78.997, added at $79.055, then added again at $79.053. You averaged *up* into a short position—paid more to short the same stock—and closed at -$0.86. This wasn't scaling; it was panic-adding.
- US500 long: five adds in 1m46s, all within 6 cents of entry. You added 0.007 contracts five times, each time convinced the next micro-fill would be the one that mattered. Max position was 2.618 contracts. Closed at -$0.32. The data-covered trough on that episode was negligible, but the behaviour was pure noise.
The pattern
You have a genuine edge—cash:INTC and xyz:INTC are your workhorses, both primary edges with 46%+ win rates and real profit. But the data covered shows you cannot tolerate being out of a position. Every loss triggers a re-entry or a revenge trade into something else. Every small win triggers a re-entry. You're adding to losers in real time, closing and reopening the same trade within minutes, and sizing positions as if you have infinite capital. The 435 closed episodes in 7 hours means you're treating this like a slot machine, not a strategy.
The reluctant compliments
- The edge is real. cash:INTC at +$314.59 on 92 episodes and xyz:INTC at +$167.20 on 61 episodes prove you can read these instruments. Your win rate on cash:INTC is 46.74% but your profit factor is 1.76—you're making 2x as much per win as you lose per loss.
- You can catch reversals. The top win on xyz:INTC at +$66.72 came after averaging down and a FOMO re-entry. You entered at $112.44 after closing at $112.58, the trade went to -0.18% MAE and then ripped to +1.37% MFE. That's not luck; that's reading momentum.
- The simulated 4% risk model shows +$32k gross. If you could sit still and let positions breathe, the data covered suggests your edge would scale linearly. You're not broken; you're just unable to hold.
The verdict
You're a profitable trader with a 7-hour attention span and a revenge-trading habit that's currently masked by a positive expectancy. The data covered shows you'll make money until the day you don't—and when you hit a 13-loss streak (which you already have), the re-entries and oversized revenge trades will evaporate the edge in one session. Tighten the leash on re-entries, or the next data covered will tell a different story.
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:INTC on May 6, 2026: re-entered at 112.95 after closing at 112.98 (May 6, 2026 prior close); outcome $21.
- xyz:INTC on May 6, 2026: re-entered at 113.49 after closing at 113.51 (May 6, 2026 prior close); outcome -$6.
- cash:HOOD on May 6, 2026: added to the position; while it was already moving against entry; outcome -$1.
- km:US500 on May 6, 2026: added to the position; while it was already moving against entry; outcome -$0.
- xyz:INTC: -$12 realised loss; 6.9x median closed loss.
- xyz:HOOD: -$77 realised loss; 44.3x median closed loss.
- cash:INTC on May 6, 2026: followed a -$77 loss; larger-than-normal size.
- cash:META on May 6, 2026: followed a -$0 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.
- -1.7%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 0
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -3.2%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 0
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -5.6%
- 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.