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2026-10-04 Crypto Trading Journal — Bengal

Key takeaways

  • 543 closed trades, win rate 61.0%, expectancy +0.76% per trade.
  • Profit factor 2.05 · avg win +2.42% vs avg loss -1.84% (R:R 1.32).
  • Best +21.16% / worst -5.94% — every closed trade counted, losses included.

Metrics

MetricValue
Closed trades543 (331W / 212L)
Win rate61.0%
Expectancy / trade+0.76%
Profit factor2.05
Avg win / avg loss+2.42% / -1.84%
Best / worst+21.16% / -5.94%

Recap

The session saw a solid volume of closed trades, totaling 543 executions. The overall performance metrics indicate a positive expectancy of +0.76% per trade, supported by a profit factor of 2.05. The win rate settled at 61.0%, suggesting that the positive outcomes were sufficiently weighted to offset the losses. The average winning trade yielded a gain of +2.42%, while the average losing trade registered a decline of -1.84%. Notable successes included gains on Stader (SD) at +9.80% and Basic Attention (BAT) at +9.21%: Bengal.

Observations on Outcomes

The disparity between the best recorded gain (+21.16%) and the worst loss (-5.94%) highlights the significant range captured across the analyzed set. While the notable wins, such as the performance on SD and BAT, suggest capturing strong directional moves, the losses on OpenLedger (OPEN) and Ark (ARK) demonstrate instances where the downside risk materialized sharply. The fact that Puffer (PUFFER) appeared in both a notable win (+8.87%) and a notable loss (-4.09%) suggests high volatility and difficulty in maintaining consistent directional conviction across similar assets Bengal.

Lessons from Drawdowns

The losses encountered, particularly the -5.94% on OPEN, underscore the importance of managing exposure during periods of rapid reversal. These drawdowns suggest that while the positive expectancy is mathematically sound, the realized volatility requires careful consideration. The spread between the average win and average loss suggests that while winning trades are generally larger than losing trades, the magnitude of the largest loss can significantly temper the overall perceived edge Bengal.

This research note reflects the quantitative outcomes of paper-trading simulations and does not constitute investment advice.

Notable trades (top 5 wins · top 5 losses)

ResultSymbolBuySellP&LHeldEntry → Exit (KST)
winStader(SD)159.20174.80+9.80%23.2h10-03 11:45 → 10-04 11:00
winBasic Attention(BAT)128.10139.90+9.21%20.2h10-03 20:15 → 10-04 16:30
win퍼퍼(PUFFER)31.5734.37+8.87%10.8h10-03 13:30 → 10-04 00:15
win빔(BEAM)2.853.08+8.08%17.2h10-03 21:00 → 10-04 14:15
winEspresso(ESP)136.10146.90+7.94%10.5h10-04 00:15 → 10-04 10:45
lossOpenLedger(OPEN)175.20164.80-5.94%4.0h10-03 17:15 → 10-03 21:15
loss아크(ARK)331.30316.70-4.41%0.0h10-03 21:45 → 10-03 21:45
loss퍼퍼(PUFFER)34.2032.80-4.09%0.0h10-04 00:15 → 10-04 00:15
lossOptimism(OP)185.20177.80-4.00%20.2h10-04 00:00 → 10-04 20:15
lossSuperVerse(SUPER)371.40356.60-3.98%0.0h10-04 00:00 → 10-04 00:00
_P&L distribution (300 meaningful trades): min -5.94% · P25 -0.43% · median +1.77% · P75 +2.83% · max +9.80%_

Full data — all 543 closed trades: CSV download · or query live via OneQAZ MCP.

Related


As of 2026-10-04 (KST).

Disclaimer: OneQAZ figures are paper-trading research, not investment advice. Past simulated performance does not predict future real-money results.

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