- Data used: 1,998 public fills from Sep 25, 2025 to Oct 5, 2025; this is the actual visible trading span, not a preset last-week or last-month period.
- The sample is too small to draw reliable conclusions about this account's edge or consistency.
- Five closed episodes across nine days of activity generated $2.27M in realised PnL, but the sample is too small to separate signal from noise.
0x1111bbf435a2b5e0f17e97a0764c58f2ed4bf167
0x1111...f167 wallet audit
0x1111...f167 audit. $2,267,966 realised trading PnL across 5 closed position cycles, using 1,998 public fills from Sep 25, 2025 to Oct 5, 2025.
The dollar PnL is the realised result from closed trades in the data covered. The percentage uses an inferred starting value (current account value $3,430 minus closed trading PnL $2,267,966 = starting estimate -$2,264,535). 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.
This is not a fixed last-week or last-month period. It is the actual span covered by the public fills used for this wallet, so the page should be read as 9 calendar days of visible trading history.
- Public fills
- 1,998
- Position cycles
- 5 closed, 7 open
- Limit
- public fill cap not hit
- Two large directional longs in major coins captured significant moves during a bullish window.
- A same-day HYPE trade resulted in a small loss, suggesting position sizing or entry conviction was misaligned on lower-liquidity instruments.
- The sample is too small to assess whether the account's edge is repeatable, whether averaging-down is a systematic strength or a lucky feature of this specific window, or whether the absence of short-side attempts reflects a deliberate bias or incomplete sampling.
Bottom line up front
The sample is too small to draw reliable conclusions about this account's edge or consistency. Five closed episodes across nine days of activity generated $2.27M in realised PnL, but the sample is too small to separate signal from noise. Four of five trades were profitable; two large ETH and BTC longs accounted for $2.0M of the total gain. Fees consumed $20.3K. No open positions remain.
What the data shows
Activity spans 25 September to 5 October 2025. The account opened with an ETH long on 25 September at $3,887.63, closed on 2 October at $4,228.61 for $1.37M profit over 158 hours. A BTC long followed on 27 September at $109,340.73, closed on 4 October at $122,562.48 for $625.8K profit over 165 hours. Both trades carried averaging-down flags, indicating position size was increased during the hold. A third ETH episode generated $268.3K. A HYPE long on 4 October at $49.03 closed immediately at $49.02 for a $11 loss. A PURR/USDC trade added $0.13.
Realised PnL totalled $2.35M before fees. Gross fees paid were $20.3K against $69.5M in gross volume, a drag of 0.03%. The win rate stands at 80% across five closed trades. No short positions were attempted. All profitable episodes were long-side entries on major coins.
Trade quality
Win rate of 80% and a profit factor of infinite (no losses of material size) describe the closed sample, but five episodes provide no basis for assessing consistency or edge durability. The two largest wins—ETH and BTC—both flagged averaging-down behaviour, suggesting conviction was added into adverse moves before reversal. The single material loss, HYPE at $11, occurred in a same-day entry and exit with a 4% structural stop distance, indicating a mismatch between position sizing and risk tolerance on smaller-cap instruments.
Post-mortems
ETH long, 25 September to 2 October: entry $3,887.63, exit $4,228.61, $1.37M profit. Held 158 hours with averaging-down flagged. BTC long, 27 September to 4 October: entry $109,340.73, exit $122,562.48, $625.8K profit. Held 165 hours with averaging-down flagged. HYPE long, 4 October: entry $49.03, exit $49.02, $11 loss. Same-day close with 4% structural stop.
Honest summary
- Two large directional longs in major coins captured significant moves during a bullish window.
- A same-day HYPE trade resulted in a small loss, suggesting position sizing or entry conviction was misaligned on lower-liquidity instruments.
- The sample is too small to assess whether the account's edge is repeatable, whether averaging-down is a systematic strength or a lucky feature of this specific window, or whether the absence of short-side attempts reflects a deliberate bias or incomplete sampling.
Behaviour checksRule-based warnings found in the trading history. They are not moral judgements; they mark patterns worth reviewing.
Rule-based position-cycle checks- ETH on Oct 2, 2025: re-entered at 4,407.24 after closing at 4,228.61 (Oct 2, 2025 prior close); outcome $268,251.
- ETH on Sep 25, 2025: added to the position; while it was already moving against entry; outcome $1,373,919.
- BTC on Sep 27, 2025: added to the position; while it was already moving against entry; outcome $625,806.
No matching position cycles in the data covered.
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.
- -0.1%
- 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.
- -0.1%
- 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.
- -0.1%
- 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.