- Data used: latest 10,000 public fills from May 13, 2026 to May 19, 2026; older public fills may exist outside this audit because the source hit its cap.
- The sample is too small to draw reliable conclusions about this account's edge or behaviour.
- In the data covered of 6 days and 9 closed trades, the account is -84.93% ($1.70M realised loss), with two catastrophic ETH long reversals consuming nearly all capital.
@machibigbrother - 0x020ca66c30bec2c4fe3861a94e4db4a498a35872
@machibigbrother wallet audit
@machibigbrother audit. -$1,695,499 realised trading PnL across 9 closed position cycles, using the latest 10,000 public fills from May 13, 2026 to May 19, 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 $300,745 minus closed trading PnL -$1,695,499 = starting estimate $1,996,244). 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
- 9 closed, 3 open
- Limit
- latest 10,000 fills only
- Data used: latest 10,000 public fills from May 13, 2026 to May 19, 2026; older public fills may exist outside this audit because the source hit its cap.
- The sample is too small to draw reliable conclusions about this account's edge or behaviour.
- In the data covered of 6 days and 9 closed trades, the account is -84.93% ($1.70M realised loss), with two catastrophic ETH long reversals consuming nearly all capital.
Bottom line up front
The sample is too small to draw reliable conclusions about this account's edge or behaviour. In the data covered of 6 days and 9 closed trades, the account is -84.93% ($1.70M realised loss), with two catastrophic ETH long reversals consuming nearly all capital. HYPE longs are the only profitable instrument (5 episodes, 100% win rate, +$10.9k), but the sample is too small to separate skill from noise. An open ETH long at 25x leverage with no stop in place adds material downside risk to an already depleted account.
What the data shows
The account opened on 13 May 2026 and has traded for 6 days across 12 total episodes (9 closed, 3 open). The data covered captures only the most recent public fills; earlier history is not visible.
Realised PnL stands at -$1.77M after $32.2k in fees. The loss is almost entirely concentrated in two ETH long trades. The first, opened 13 May at $2,289.69 and closed 16 May at $2,240.24 over 61 hours, lost $845.7k on a $29M notional position. The second, opened 16 May and closed 17 May over 40 hours, lost $582.3k on a $16.1M notional position. Both trades are flagged as revenge trades. The structural stop on the first trade was set 1.11% below entry (ATR 14 1h), but the trade was allowed to run through a -2.92% maximum adverse excursion before exit.
BTC longs (2 episodes) lost $278.4k combined. ETH longs as a group lost $1.43M across 2 episodes with a 0% win rate. HYPE longs (5 episodes) are the sole profitable instrument, generating $10.9k with a 100% win rate. The largest HYPE win closed 17 May at $41.50 after entry at $41.08, generating $5.2k on a $918k notional position over 10 hours. A second HYPE trade the same day added $3.0k.
Fees consumed 1.8% of gross volume ($107.4M traded, $32.2k paid). Net fee drag equals gross fees paid, indicating no rebates in this window.
Trade quality
Win rate is 55.56% (5 wins, 4 losses from 9 closed episodes), but this is misleading: the five wins are all HYPE trades averaging small notionals, while the four losses include two catastrophic ETH reversals. The profit factor cannot be computed from the evidence pack. Expectancy is negative: realised PnL of -$1.77M divided by 9 closed episodes yields -$196.6k per closed trade.
Post-mortems
ETH long, 13–16 May 2026. Entry at $2,289.69, exit at $2,240.24, -$845.7k loss on $29M notional (25x leverage implied). Held 61 hours. Maximum adverse excursion was -2.92%; the structural stop (ATR 14 1h) was set 1.11% below entry but was not respected. The trade is flagged as a revenge trade. This single position consumed 50% of account equity.
ETH long, 16–17 May 2026. Opened 16 May, closed 17 May at $2,156.82 over 40 hours, -$582.3k loss on $16.1M notional. Entry price is not recorded in the available data. This trade is also flagged as a revenge trade and immediately followed the first ETH loss. Combined, these two ETH reversals account for $1.43M of the $1.70M total
Behaviour checksRule-based warnings found in the trading history. They are not moral judgements; they mark patterns worth reviewing.
Rule-based position-cycle checksNo matching position cycles in the data covered.
- HYPE on May 16, 2026: added to the position; while it was already moving against entry; outcome $5,159.
No matching position cycles in the data covered.
- ETH on May 13, 2026: followed a -$190,803 loss; larger-than-normal size.
- BTC on May 16, 2026: followed a -$845,670 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.
- -0.6%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 1
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -1.3%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 1
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -2.5%
- 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.