- Data used: latest 10,000 public fills from Aug 13, 2025 to Jun 12, 2026; older public fills may exist outside this audit because the source hit its cap.
- This account is -92.23% in the data covered, having collapsed from a highest balance in this window balance of $25,125.90 to a lowest balance in this window of $125.96—a deepest decline in this window of 99.5%.
- The core pattern is uncontrolled position sizing on a losing edge: 1,879 closed trades across BTC and SILVER with a 31% win rate, 0.62 profit factor, and negative expectancy of -$0.80 per trade.
0xe4baa9cd51176265ef709a81307f9971030009e6
0xe4ba...09e6 wallet audit
0xe4ba...09e6 audit. -$1,504 realised trading PnL across 1879 closed position cycles, using the latest 10,000 public fills from Aug 13, 2025 to Jun 12, 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 $127 minus closed trading PnL -$1,504 = starting estimate $1,631). 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
- 1,879 closed, 5 open
- Limit
- latest 10,000 fills only
- Visible strength: Maker rebate structure (99.7% maker fills) and tight execution on individual fills. The account is not losing to slippage; it is losing to a system with no edge.
- Visible weakness: Catastrophic position sizing discipline. The five largest losses are 3.3x to 4.3x the median loss size. Revenge trading and averaging down are endemic. The account re-enters losing positions within minutes and sizes up into them. Win rate of 31% with average losses larger than average wins guarantees compounding losses.
- Visible weakness: No stops. The structural stop distances are calculated but not enforced. The account closes at market, often at the worst time, after the move has already hurt it.
- Data scope caveat: Only the most recent 10,000 fills are visible. Earlier account history is not available. The highest balance in this window balance of $25,125.90 and the subsequent collapse to $125.96 occurred within the data covered, but the initial capital accumulation phase is not visible. The current $1.07 unrealised gain on BTC is immaterial relative to the $1,504 realised loss.
Bottom line up front
This account is -92.23% in the data covered, having collapsed from a highest balance in this window balance of $25,125.90 to a lowest balance in this window of $125.96—a deepest decline in this window of 99.5%. Only the most recent public fills are visible, so this audit covers the data covered rather than full account history. The core pattern is uncontrolled position sizing on a losing edge: 1,879 closed trades across BTC and SILVER with a 31% win rate, 0.62 profit factor, and negative expectancy of -$0.80 per trade. Revenge trading and oversized losers dominate the behavioural signature. The account is still bleeding capital despite a small long BTC position currently held at 52.9% unrealised ROE.
What the data shows
The account opened with approximately $1,631 and ran 1,879 closed episodes across two main instruments: SILVER (689 episodes, -$1,385 realised PnL) and BTC (1,184 episodes, -$119 realised PnL). The account reached $25,125.90 on 25 February 2026, then entered a catastrophic deepest decline in this window phase that erased 99.5% of that highest balance in this window within nine days. The current balance sits at $126.66.
SILVER is the primary damage vector. Short positions lost $1,211.73 and long positions lost $173.32, for a combined -$1,385.05 realised loss across 689 trades. BTC fared marginally better but still negative: shorts lost $27.51, longs lost $91.65, totalling -$119.17 across 1,184 trades. The asymmetry is stark: the account has no profitable side on either instrument. Long positions across both coins show a 31.64% win rate; shorts show 30.41%. Neither direction works.
Fees consumed $336.61 in gross costs, paid almost entirely as maker rebates (99.7% maker fill rate), so the fee structure is not the primary culprit. The realised loss of -$1,167.69 after fees is the true damage. Gross closed trade volume reached $10.17 million, indicating extreme leverage and turnover relative to the $1,631 starting capital.
Trade quality
Win rate of 31.03% with a profit factor of 0.62 means the account wins on roughly one trade in three, but losses are substantially larger than wins. Average win: $4.25. Average loss: -$3.07. Win-to-loss ratio of 1.38 is inverted—the account closes winners too early and lets losers run. Expectancy of -$0.80 per trade is the mechanical outcome: over 1,879 trades, that compounds to the observed loss.
The max win streak reached 9 trades; the max loss streak reached 20. A 20-trade losing streak on a 31% win-rate system is not an outlier—it is the expected behaviour of a system with no edge. The account has no edge on BTC, no edge on SILVER, and no edge directionally.
Post-mortems
The two largest recent losses both occurred on 6 February 2026 in SILVER and are flagged as oversized losers and revenge trades.
Trade 1: SILVER short, 6 February 2026, 1.39 hours. Entered at 74.60, exited at 75.77, loss of -$192.74 on a $18,457.53 notional position. The structural stop distance was 5.0% (ATR 14 1H), meaning the account risked $923 to make an unknown amount. This was a revenge trade following a prior loss. The position was closed at a loss within 84 minutes.
Trade 2: SILVER short, 6 February 2026, 0.34 hours. Entered at 77.75, exited at 78.14, loss of -$179.95 on a $35,999.42 notional position. Structural stop was 2.55% away. This was also flagged as a revenge trade and oversized loser. The account re-entered SILVER shorts immediately after the first loss, doubling down into a market moving against it, and lost again within 20 minutes.
Both trades exemplify the pattern: after a loss, the account sizes up, re-enters the same direction, and suffers larger losses. The structural stops were tight relative to the notional exposure, but the account did not respect them—it closed at market instead.
What the risk simulation reveals
Under a 1% hard stop rule applied historically, the account would have realised -$132.37 PnL with a deepest decline in this window of -9.03%, stopping early on 6 episodes. Under a 2% rule, -$264.74 and -18.04%. Under a 4% rule, -$529.48 and -36.0%. Even with mechanical stops in place, the account would have lost money—but the losses would have been contained. The actual loss of -$1,504.30 is 2.8x worse than the 4% rule scenario, demonstrating that position sizing and lack of stops are the primary failure modes, not market direction.
Open positions
One open position: BTC long, 0.0013 size, entry price $63,292, mark price $64,129, held for 28 days on 40x cross margin. Unrealised PnL is +$1.07 (52.9% unrealised ROE). No stop is in place. Liquidation price is not provided, but on 40x cross margin with $2.05 margin used and $82.09 position value, the account has minimal buffer. This position is still open; the outcome is unknown until closed.
Honest summary
- Visible strength: Maker rebate structure (99.7% maker fills) and tight execution on individual fills. The account is not losing to slippage; it is losing to a system with no edge.
- Visible weakness: Catastrophic position sizing discipline. The five largest losses are 3.3x to 4.3x the median loss size. Revenge trading and averaging down are endemic. The account re-enters losing positions within minutes and sizes up into them. Win rate of 31% with average losses larger than average wins guarantees compounding losses.
- Visible weakness: No stops. The structural stop distances are calculated but not enforced. The account closes at market, often at the worst time, after the move has already hurt it.
- Data scope caveat: Only the most recent 10,000 fills are visible. Earlier account history is not available. The highest balance in this window balance of $25,125.90 and the subsequent collapse to $125.96 occurred within the data covered, but the initial capital accumulation phase is not visible. The current $1.07 unrealised gain on BTC is immaterial relative to the $1,504 realised loss.
Behaviour checksRule-based warnings found in the trading history. They are not moral judgements; they mark patterns worth reviewing.
Rule-based position-cycle checks- BTC on Aug 13, 2025: re-entered at 121,720 after closing at 121,748 (Aug 13, 2025 prior close); outcome -$0.
- BTC on Aug 13, 2025: re-entered at 121,681 after closing at 121,770 (Aug 13, 2025 prior close); outcome $0.
- BTC on Aug 13, 2025: added to the position; while it was already moving against entry; outcome -$0.
- BTC on Aug 13, 2025: added to the position; while it was already moving against entry; outcome -$0.
- BTC: -$0 realised loss; 3.3x median closed loss.
- BTC: -$0 realised loss; 4.2x median closed loss.
- BTC on Aug 14, 2025: followed a -$0 loss; larger-than-normal size.
- BTC on Aug 14, 2025: 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.
- -9.0%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 6
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -18.0%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 6
- Max drawdownLargest high-to-low account-value drop inside this simulated replay.
- -36.0%
- Stopped earlyHow many historical position cycles would have exited before the real close because the simulated stop was hit.
- 6
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.