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2026-09-27 Crypto Trading Journal — Bengal

Key takeaways

  • 704 closed trades, win rate 59.2%, expectancy +0.48% per trade.
  • Profit factor 1.41 · avg win +2.78% vs avg loss -2.87% (R:R 0.97).
  • Best +19.84% / worst -5.82% — every closed trade counted, losses included.

Metrics

MetricValue
Closed trades704 (417W / 287L)
Win rate59.2%
Expectancy / trade+0.48%
Profit factor1.41
Avg win / avg loss+2.78% / -2.87%
Best / worst+19.84% / -5.82%

Recap

The day’s closed activity showed a positive expectancy of +0.48% per trade, supported by a win rate of 59.2% and a profit factor of 1.41. The average winning trade (+2.78%) slightly outweighed the average losing trade (-2.87%), suggesting that while wins were generally larger than losses, the magnitude of the losses was substantial enough to temper overall performance. Notable gains were seen in LeisureMeta (LM) at +19.84% and 델리시움 (AGI) at +11.25%, indicating successful captures of significant upward momentum. Conversely, the losses in Mayflower (MAY) at -4.65% and 앰프 (AMP) at -4.07% highlight instances where the downside risk materialized effectively. Bengal

Observations

The spread between the best outcome (+19.84%) and the worst outcome (-5.82%) suggests a wide dispersion in realized returns across the closed set. The fact that the average win and average loss figures are relatively close in magnitude, despite the positive expectancy, points to a pattern where successful trades are often significantly larger than the average losing trade. This suggests that the risk management profile, while profitable overall, is sensitive to the size of the drawdowns encountered. Bengal

For Next Time

The trades resulting in losses, such as Mayflower (MAY) and Cobak (CBK), underscore the importance of maintaining strict adherence to established risk parameters when volatility spikes. These instances confirm that even when the overall directional bias is correct, the execution during periods of sharp reversal requires heightened discipline to prevent losses from exceeding the expected range. Bengal

This research note reflects the analysis of closed paper trades and does not constitute investment advice.

Notable trades (top 5 wins · top 5 losses)

ResultSymbolBuySellP&LHeldEntry → Exit (KST)
winLeisureMeta(LM)1.111.33+19.84%13.0h09-26 11:00 → 09-27 00:00
win델리시움(AGI)7.848.72+11.25%55.0h09-24 17:15 → 09-27 00:15
win카우프로토콜(COW)206.20228.80+10.96%10.8h09-26 22:15 → 09-27 09:00
winAudius(AUDIO)19.5021.43+9.90%5.8h09-26 23:45 → 09-27 05:30
win디피니티브(EDGE)172.20188.80+9.64%0.0h09-26 23:00 → 09-26 23:00
lossMayflower(MAY)5.895.62-4.65%7.8h09-26 16:15 → 09-27 00:00
loss앰프(AMP)1.000.9593-4.07%0.2h09-26 21:00 → 09-26 21:15
lossCobak(CBK)311.30298.70-4.05%18.2h09-26 15:30 → 09-27 09:45
lossGamerCoin(GHX)17.3116.61-4.04%10.5h09-26 23:00 → 09-27 09:30
lossALTAVA(TAVA)3.923.76-4.04%2.8h09-27 00:00 → 09-27 02:45
_P&L distribution (300 meaningful trades): min -4.65% · P25 -3.26% · median +0.88% · P75 +2.86% · max +19.84%_

Full data — all 704 closed trades: CSV download · or query live via OneQAZ MCP.

Related


As of 2026-09-27 (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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