- 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.
- This account is profitable at $2.27M realised PnL over 5 closed episodes in a 9-day window, but the sample is too small to support any behavioural or skill-based conclusions.
- Four of five closed trades were wins; the two largest wins—ETH long from 3,840 to 4,185 (+$1.37M) and BTC long from 109,340 to 122,562 (+$625k)—both involved averaging down into adverse moves.
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 $2,427 minus closed trading PnL $2,267,966 = starting estimate -$2,265,539). 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 long positions in major coins (ETH, BTC) generated $2M+ of the realised PnL, both closed profitably despite intermediate adverse moves.
- Averaging-down behaviour was present in the two largest wins, but the sample is too small to determine whether this reflects edge or luck.
- Only 5 closed episodes over 9 days provide limited sample to assess consistency, risk management discipline, or repeatable patterns.
Bottom line up front
This account is profitable at $2.27M realised PnL over 5 closed episodes in a 9-day window, but the sample is too small to support any behavioural or skill-based conclusions. Four of five closed trades were wins; the two largest wins—ETH long from 3,840 to 4,185 (+$1.37M) and BTC long from 109,340 to 122,562 (+$625k)—both involved averaging down into adverse moves. A single loss on HYPE long cost $11. Fees consumed $20.3k of gross PnL. The account currently holds 7 open positions with no closed result yet.
What the data shows
The account opened on 25 September 2025 and has executed 12 total episodes—5 closed, 7 still open—across ETH, BTC, HYPE, and PURR/USDC. Realised PnL stands at $2.35M after $20.3k in fees. The two dominant closed trades were both long entries into major cryptocurrencies held for roughly 160 hours each. The ETH position opened at 3,840.45 on 25 September, reached a maximum notional of $11.76M, and closed at 4,185.09 on 2 October. The BTC position opened at 109,340.73 on 27 September, reached $6.09M notional, and closed at 122,562.48 on 4 October. Both trades carried 3% structural stops and both were closed profitably despite intermediate adverse excursions. A third closed trade on BTC generated $268k additional profit. The HYPE long on 4 October entered at 49.03, exited at 49.02 the same day, and lost $11.12. A fourth closed trade on PURR/USDC generated $0.13. Win rate across closed episodes is 80%.
Trade quality
Win rate is 80% on 5 closed episodes. Gross fees paid total $20.3k against $69.5M gross volume, a fee ratio of 0.03%. The sample is too small to extract meaningful expectancy or profit factor interpretation; with only five closed trades, a single outlier reshapes the distribution entirely. The two largest wins both flagged averaging-down behaviour, suggesting the account added to positions during adverse moves rather than exiting at the structural stop level.
Post-mortems
HYPE long opened and closed on 4 October at 49.03 entry and 49.02 exit, generating -$11.12 PnL on $24.9k notional. The position held for zero hours and carried a 4% structural stop. This was the only closed loss in the sample.
Honest summary
- Two large long positions in major coins (ETH, BTC) generated $2M+ of the realised PnL, both closed profitably despite intermediate adverse moves.
- Averaging-down behaviour was present in the two largest wins, but the sample is too small to determine whether this reflects edge or luck.
- Only 5 closed episodes over 9 days provide limited sample to assess consistency, risk management discipline, or repeatable patterns.
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 4,185.09 (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.