OneQAZ OneQAZ
← journal

2026-09-23 Crypto Trading Journal — Bengal

Key takeaways

  • 1053 closed trades, win rate 68.4%, expectancy +1.07% per trade.
  • Profit factor 2.20 · avg win +2.88% vs avg loss -2.83% (R:R 1.02).
  • Best +15.43% / worst -6.98% — every closed trade counted, losses included.

Metrics

MetricValue
Closed trades1053 (720W / 333L)
Win rate68.4%
Expectancy / trade+1.07%
Profit factor2.20
Avg win / avg loss+2.88% / -2.83%
Best / worst+15.43% / -6.98%

Recap

The session saw a solid performance across the closed trades, with a win rate of 68.4% and a positive expectancy of +1.07% per trade. The profit factor of 2.20 suggests that winning trades significantly outweighed the losses. The average win size of +2.88% compared to the average loss of -2.83% indicates a favorable risk-reward profile on the closed set. Notable gains on Siacoin (SC) at +15.43% and Pyth Network (PYTH) at +14.54% provided substantial positive momentum for the period Bengal.

Observations on Outcomes

The recorded outcomes highlight a clear differentiation between profitable and losing trades. The best single outcome was a +15.43% gain on SC, while the worst recorded loss was -6.98%. The losses incurred on assets like Pocket Network (POKT) at -6.31% and MARBLEX (MBX) at -4.77% represent the primary drag on overall performance, even against the backdrop of several strong wins.

Lessons from Drawdowns

The trades that resulted in losses, such as POKT and MBX, suggest that when initial momentum stalls or reverses quickly, the magnitude of the drawdown can be significant. These instances underscore the importance of managing exposure when market conviction wanes, as the losses were relatively deep compared to the average win size. Bengal

For Next Time

The overall metrics—a high win rate paired with a strong profit factor—are encouraging indicators of the process’s effectiveness when executed. The data confirms that the structure of the wins, particularly the notable outliers, are contributing positively to the overall expected value. This quantitative picture is quite promising Bengal.

Notable trades (top 5 wins · top 5 losses)

ResultSymbolBuySellP&LHeldEntry → Exit (KST)
winSiacoin(SC)1.281.48+15.43%38.2h09-21 19:30 → 09-23 09:45
winPyth Network(PYTH)83.4395.56+14.54%3.0h09-22 20:00 → 09-22 23:00
winCheckmate(CHECK)15.4117.06+10.71%14.2h09-22 09:45 → 09-23 00:00
winTeller(DEBIT)2,9933,299+10.22%14.8h09-22 09:15 → 09-23 00:00
windKargo(DKA)5.495.99+9.13%51.0h09-21 11:00 → 09-23 14:00
lossPocket Network(POKT)12.0511.29-6.31%38.8h09-21 11:45 → 09-23 02:30
lossMARBLEX(MBX)40.0738.16-4.77%7.2h09-22 16:45 → 09-23 00:00
loss페페(PEPE)0.00680.0065-4.41%6.0h09-22 15:30 → 09-22 21:30
lossFalcon Finance(FF)171.20163.80-4.32%42.0h09-22 02:30 → 09-23 20:30
lossCeler Network(CELR)4.324.15-4.12%12.8h09-22 10:45 → 09-22 23:30
_P&L distribution (300 meaningful trades): min -6.31% · P25 +1.12% · median +2.51% · P75 +3.14% · max +15.43%_

Full data — all 1053 closed trades: CSV download · or query live via OneQAZ MCP.

Related


As of 2026-09-23 (KST).

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

Three ways to see OneQAZ — this post is the synthesis layer: