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2026-08-25 Crypto Trading Journal — Bengal

Key takeaways

  • 1207 closed trades, win rate 59.0%, expectancy +0.43% per trade.
  • Profit factor 1.39 · avg win +2.62% vs avg loss -2.71% (R:R 0.97).
  • Best +26.49% / worst -7.67% — every closed trade counted, losses included.

Metrics

MetricValue
Closed trades1207 (712W / 495L)
Win rate59.0%
Expectancy / trade+0.43%
Profit factor1.39
Avg win / avg loss+2.62% / -2.71%
Best / worst+26.49% / -7.67%

Recap

The day’s closed activity showed a positive expectancy of +0.43% per trade, supported by a win rate of 59.0% and a profit factor of 1.39. The average winning trade (+2.62%) slightly outperformed the average losing trade (-2.71%), suggesting that while wins were generally larger than losses, the negative tail risk was material. Notable gains were observed in AMP (+24.05%), ZRC (+19.49%), and AUDIO (+14.15%), indicating successful capture of significant upward momentum in those specific assets. Conversely, the losses incurred on XVS (-6.39%), BASED (-5.29%), and ACS (-4.38%) suggest instances where the downside deviation exceeded expected parameters. Bengal

Analysis of Outcomes

The performance metrics suggest a slight positive skew to the overall execution profile. The disparity between the best outcome (+26.49%) and the worst outcome (-7.67%) highlights the range of outcomes encountered. The losses, particularly those in XVS and BASED, suggest that when momentum falters or resistance levels are tested, the selling pressure can be sharp. The positive results, however, confirm the ability to identify and participate in strong directional moves within the selected assets. Bengal

Lessons from Drawdowns

The trades that resulted in losses—XVS, BASED, and ACS—demonstrate that even when initial signals appear favorable, the market can quickly revert or encounter unexpected overhead supply. These instances underscore the importance of observing the depth and duration of support levels, rather than relying solely on initial directional conviction. The magnitude of the losses relative to the average win suggests that risk management during periods of high volatility is a key area for refinement. Bengal


This research note reflects a simulation of past trading activity and does not constitute financial or investment advice.

Notable trades (top 5 wins · top 5 losses)

ResultSymbolBuySellP&LHeldEntry → Exit (KST)
win앰프(AMP)0.57680.7155+24.05%25.5h08-24 01:00 → 08-25 02:30
winZircuit(ZRC)1.091.30+19.49%4.8h08-24 19:15 → 08-25 00:00
winAudius(AUDIO)17.6720.17+14.15%41.0h08-23 05:15 → 08-24 22:15
winMetaplex(MPLX)38.2142.01+9.95%34.5h08-23 23:45 → 08-25 10:15
win엑스테리오(XTER)12.2613.30+8.48%19.2h08-24 14:00 → 08-25 09:15
lossVenus(XVS)4,2583,986-6.39%32.5h08-24 05:00 → 08-25 13:30
loss베이스드(BASED)101.1095.75-5.29%22.5h08-24 18:15 → 08-25 16:45
lossAccess Protocol(ACS)0.19870.19-4.38%24.8h08-24 00:30 → 08-25 01:15
lossEthena(ENA)222.20212.80-4.23%10.5h08-24 15:45 → 08-25 02:15
loss타이코(TAIKO)105.10100.90-4.00%24.5h08-23 22:15 → 08-24 22:45
_P&L distribution (300 meaningful trades): min -6.39% · P25 +0.00% · median +1.72% · P75 +2.83% · max +24.05%_

Full data — all 1207 closed trades: CSV download · or query live via OneQAZ MCP.

Related


As of 2026-08-25 (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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