Bottom line up front
This account is -2.78% net, down $760.79 from a $27,336 starting balance, but the headline masks a catastrophic structural failure: the wallet peaked at $2.59M before collapsing 98.57% to a $2,059 trough. The entire account arc is dominated by a single coin (XYZ100) across 70 episodes with no edge—52.86% win rate, 0.18 profit factor, -$10.57 expectancy per trade. The core pathology is mechanical: averaging down into losing positions, re-entering after closed trades, revenge-trading after losses, and sizing positions at $40K notional on a $27K account. Five of the five largest losses are flagged as oversized; the median loss is $11.09, but the worst losses run 5–12× that. This is not a trading account; it is a leverage-driven blow-up in slow motion.
What the data shows
The account opened on 7 November 2025 with approximately $27,336 and traded exclusively XYZ100 for the first three days, then added two trivial positions (BTC and @150) that contributed -$1.47 combined. Over 178 calendar days, 72 closed episodes and 5 open positions generated -$760.79 realised PnL after $137.01 in fees. The account reached $2.59M on 19 April 2026—a 9,400% gain—then fell to $2,059 by 11 March 2026, suggesting a liquidation or near-liquidation event followed by recovery or account reset.
The money leak is straightforward: shorts lost $568.90 (45.45% win rate) while longs lost $190.43 (56.41% win rate). The short-side collapse is the story. Five trades account for $490.41 of the $759.32 total loss: a -$134.70 short on 9 November, -$115.90 short on 7 November, -$98.20 short on 9 November, -$78.45 short on 9 November, and -$62.29 short on an unspecified date. Each of these was sized at $40K+ notional on a $27K account, each was entered with prior averaging-down activity, and each closed within 0.84 to 1.42 hours.
Fees consumed $137.01 against $621.53 in gross realised losses, a 22% drag. The account is 96.49% maker, so rebates are embedded in the gross PnL; the net fee drag is $137.01 paid. The win rate of 51.39% across 72 closed trades is statistically indistinguishable from random; the profit factor of 0.18 means the account loses $0.82 for every $1.00 won.
Trade quality
Win rate 51.39%, profit factor 0.18, expectancy -$10.57 per trade, win/loss ratio 0.17. These numbers describe an account with no edge. A 51% win rate with a 0.17 win/loss ratio means average wins are $4.48 and average losses are $26.47—a 5.9× loss-to-win ratio. The account is slightly more often right than wrong, but when it is wrong, it loses nearly six times as much. The profit factor of 0.18 is terminal: for every dollar of gross profit, the account generates $5.50 of gross loss. Fees add $137 of friction on top.
Post-mortems
Short XYZ100, 9 November 2025, 22:00–23:00 UTC, entry $25,221.96, exit $25,273.22, -$98.20
This trade is the clearest evidence of the account's behavioural cascade. The position was opened at 22:00 on 9 November after a previous XYZ100 short had closed at 20:58 the same day at $25,230.08. The re-entry price of $25,221.96 was 9 basis points lower than the prior close—a FOMO re-entry into the same coin within two hours. The position was sized at $40,058 notional, carried a structural ATR stop 0.44% away, and was entered with 19 prior averaging-down events on the same coin that day. The trade moved against the account immediately, hitting -$98.20 in 59 minutes. This is not a trade; it is a revenge sequence.
Long XYZ100, 9–10 November 2025, 05:58–08:12 UTC, entry $25,279.19, exit $25,260.56, -$86.17
Opened 05:58 on 9 November after a -$0.022 FOMO re-entry had closed at 05:42. The long was sized at $37,600 notional, carried a 0.49% ATR stop, and closed 2.24 hours later at a loss. The trade is flagged as averaging-down, revenge-trade, and oversized-loser. It followed a -$134.70 loss on the same coin 10 hours earlier. The account had already lost $98.20 on the short re-entry and was now long on a coin that had already cost it $233 in the prior 24 hours.
What the risk simulation reveals
Under a 1% hard stop rule applied historically, the account would have realised -$2,893.31 with a max drawdown of -17.83%, stopping out of 5 episodes early. Under 2%, the simulated loss is -$5,786.61 with -33.62% drawdown. Under 4%, the loss is -$11,573.22 with -60.35% drawdown. The win rate remains 59.15% across all three scenarios because the rule prevents the largest losses, not the smallest wins. The actual account, with no stops, realised -$760.79 but suffered a -98.57% drawdown. A 1% rule would have reduced the loss by 73% while capping the worst decline at -17.83%.
Open positions
The account currently holds 5 open positions, all in XYZ100. No details on notional, entry price, or liquidation level are provided in the evidence pack. Given the historical pattern of $40K+ notional positions on a $27K account and the account's current balance of $26,575, any open position is likely to be highly leveraged and sensitive to adverse moves.
Honest summary
- Structural edge exists on the long side: 56.41% win rate on longs versus 45.45% on shorts. The account is not uniformly unskilled; it has a directional bias that works. The problem is not the long/short split; it is what happens after a loss.
- Averaging down and revenge trading are the primary loss drivers: 19 averaging-down events on a single position, 5 revenge trades opened within hours of prior losses, and 3 FOMO re-entries after closed trades. The five largest losses are all flagged with averaging-down; the two post-mortem trades are both revenge sequences. The account does not cut losses; it doubles into them.
- Position sizing is reckless relative to account equity: Five trades sized at $40K+ notional on a $27K account. A 0.5% adverse move costs $200; a 1% move costs $400. The structural stops are 0.11% to 0.75% away—tighter than the account can afford. The account is not trading; it is leveraging a $27K account as if it