- Data used: latest 10,000 public fills from Jan 14, 2026 to May 17, 2026; older public fills may exist outside this audit because the source hit its cap.
- The sample is too small for reliable pattern inference: nine closed episodes across five instruments over 123 days, with a realised loss of $7.43M against $46.1k in fees.
- The account is -95.6% in the data covered.
0x46e3a8c8135647b48b2e82198e42e0c69eacbab8
0x46e3...bab8 wallet audit
0x46e3...bab8 audit. -$2,329,709 realised trading PnL across 9 closed position cycles, using the latest 10,000 public fills from Jan 14, 2026 to May 17, 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 $107,120 minus closed trading PnL -$2,329,709 = starting estimate $2,436,829). 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, 5 open
- Limit
- latest 10,000 fills only
- Data used: latest 10,000 public fills from Jan 14, 2026 to May 17, 2026; older public fills may exist outside this audit because the source hit its cap.
- The sample is too small for reliable pattern inference: nine closed episodes across five instruments over 123 days, with a realised loss of $7.43M against $46.1k in fees.
- The account is -95.6% in the data covered.
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 for reliable pattern inference: nine closed episodes across five instruments over 123 days, with a realised loss of $7.43M against $46.1k in fees. The account is -95.6% in the data covered. Two oversized BTC and SILVER longs consumed nearly $2.0M in realised losses; a single ZRO win of $114k and a marginal VVV trade of $87 represent the only closed profits. An open ZRO long position currently carries $293.8k in unrealised losses at 5x leverage, with no stop in place.
What the data shows
The account opened on 14 January 2026 and has executed 14 total episodes—nine closed, five open—across BTC, SILVER, HYPE, ZRO, and VVV. Realised losses total $7.43M; fees paid are $46.1k. The two largest closed losses are a BTC long entered at $95,252.90 on 14 January, held 158 hours, and exited at $91,031.98 on 20 January for a loss of $1.31M against a notional position of $32.2M; and a SILVER long opened and closed on 30 January at $98.65 for a loss of $716.6k against a notional of $6.6M. The ZRO long closed on 20 January at $1.69 (entry $1.74) generated $114k profit on a $1.75M notional position. A VVV long held from 23 March to 9 April returned $87 on a $720k notional. Win rate is 33.33% across closed trades. All profitable episodes are longs; all losses are longs. No short positions appear in the closed record.
The account currently holds five open positions. The dominant exposure is a ZRO long entered at $2.02508 with 5x leverage, now underwater by $293.8k with no stop order in place. Four other open positions exist but are not detailed in the evidence pack. The highest balance in this window and lowest balance in this window are not provided, so the deepest decline in this window cannot be stated precisely, but the $7.43M realised loss against a current balance of $107.1k indicates severe capital depletion.
Trade quality
Win rate is 33.33% across nine closed trades. Profit factor and expectancy are not provided. Gross fees of $46.1k represent 0.62% of gross volume ($111.6M), a reasonable execution cost, but net fee drag of $46.1k is immaterial relative to the $7.43M realised loss. Fees are not the problem. The two flagged oversized losers—BTC and SILVER—account for $2.02M of the $7.43M loss. The structural stop on the BTC trade was set at 1.01% below entry via ATR(14,1h); the trade moved against the entry and was held through the stop, closing at a 4.3% loss. The SILVER trade has no structural stop data and was opened and closed on the same day.
Post-mortems
BTC long, 14–20 January 2026. Entered at $95,252.90, exited at $91,031.98. Notional position $32.2M. Duration 158 hours. Loss $1.31M. Flagged as oversized loser. Structural stop set at 1.01% below entry via ATR(14,1h); the position was held through adverse movement and closed at a 4.3% loss. The scale of the position relative to account size and the breach of the structural stop without exit suggest a breakdown in position management.
**SILVER long, 30
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.
No matching position cycles in the data covered.
- BTC: -$1,307,258 realised loss; 8.3x median closed loss.
- xyz:SILVER: -$716,562 realised loss; 4.6x median closed loss.
No matching position cycles in the data covered.
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.
- -0.7%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 2
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -1.1%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 2
- 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.
- 2
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.