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2026-09-29 Crypto Trading Journal — Bengal

Key takeaways

  • 659 closed trades, win rate 56.1%, expectancy +0.26% per trade.
  • Profit factor 1.20 · avg win +2.77% vs avg loss -2.95% (R:R 0.94).
  • Best +14.27% / worst -5.46% — every closed trade counted, losses included.

Metrics

MetricValue
Closed trades659 (370W / 289L)
Win rate56.1%
Expectancy / trade+0.26%
Profit factor1.20
Avg win / avg loss+2.77% / -2.95%
Best / worst+14.27% / -5.46%

Recap

The day’s closed activity reflects a mixed performance across the reviewed set of trades. The overall win rate stands at 56.1%, supported by a positive expectancy of +0.26% per trade. The profit factor of 1.20 indicates that winning trades have generated sufficient returns to offset the losses from losing trades. Notable positive outcomes included significant gains on MARBLEX (MBX) at +14.27% and Doodles (DOOD) at +8.33%. Conversely, the largest drawdowns were observed on GRASS (-5.46%), Audius (AUDIO) (-5.35%), and Arbitrum (ARB) (-4.92%). The average winning return (+2.77%) was slightly outweighed by the average losing return (-2.95%), suggesting a slight skew in loss magnitude relative to wins. Bengal

Analysis of Outcomes

The trades resulting in losses, particularly those involving established assets like ARB and AUDIO, suggest sensitivity to immediate directional shifts or minor liquidity pullbacks. The magnitude of these losses, while significant, was contained relative to the best recorded gain. The spread between the best outcome (+14.27%) and the worst outcome (-5.46%) highlights the variance inherent in the current market structure. The positive expectancy, despite the notable losses, confirms that the successful trades provided a net positive contribution to the overall capital base. Bengal

For Next Time

The performance suggests that while capturing large upside moves remains possible, the downside risk profile, as evidenced by the losses on several mid-cap and blue-chip assets, warrants continued attention. The structure of the results indicates that the successful trades were not uniformly distributed across asset classes or volatility regimes. The objective observation is that the positive expectancy is maintained by the frequency and size of the successful captures, even when encountering defined resistance or reversal points on other names. Bengal

Notable trades (top 5 wins · top 5 losses)

ResultSymbolBuySellP&LHeldEntry → Exit (KST)
winMARBLEX(MBX)40.2946.04+14.27%14.5h09-28 09:30 → 09-29 00:00
winDoodles(DOOD)2.442.64+8.33%7.5h09-28 14:45 → 09-28 22:15
winPolySwarm(NCT)13.6914.79+8.04%15.0h09-28 16:30 → 09-29 07:30
winCratos(CRTS)0.08790.0949+7.96%1.8h09-28 20:30 → 09-28 22:15
winCitrea(CTR)15.9016.80+5.66%15.8h09-29 00:00 → 09-29 15:45
loss그래스(GRASS)798.80755.20-5.46%0.5h09-28 23:30 → 09-29 00:00
lossAudius(AUDIO)22.2421.05-5.35%8.2h09-28 23:00 → 09-29 07:15
lossArbitrum(ARB)276.30262.70-4.92%10.2h09-29 00:00 → 09-29 10:15
loss불칸포지드(PYR)79.6075.72-4.87%0.2h09-29 00:00 → 09-29 00:15
loss오비터파이낸스(OBT)0.52440.4993-4.79%21.0h09-28 17:30 → 09-29 14:30
_P&L distribution (300 meaningful trades): min -5.46% · P25 -3.41% · median -0.05% · P75 +2.63% · max +14.27%_

Full data — all 659 closed trades: CSV download · or query live via OneQAZ MCP.

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As of 2026-09-29 (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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