2026-09-06 Crypto Trading Journal — Bengal
Key takeaways
- 574 closed trades, win rate 63.2%, expectancy +0.80% per trade.
- Profit factor 2.01 · avg win +2.51% vs avg loss -2.14% (R:R 1.17).
- Best +14.50% / worst -7.50% — every closed trade counted, losses included.
Metrics
| Metric | Value |
|---|---|
| Closed trades | 574 (363W / 211L) |
| Win rate | 63.2% |
| Expectancy / trade | +0.80% |
| Profit factor | 2.01 |
| Avg win / avg loss | +2.51% / -2.14% |
| Best / worst | +14.50% / -7.50% |
Recap
The session saw a substantial volume of closed trades, totaling 574 executions. The overall performance metrics indicate a positive expectancy of +0.80% per trade, supported by a profit factor of 2.01 and a win rate of 63.2%. The average winning trade yielded a gain of +2.51%, which significantly outweighed the average loss of -2.14%. The notable gains observed in assets like REZ (+8.82%) and IOST (+8.49%) contributed positively to the overall profile. Conversely, the recorded losses, such as the -7.50% on WOO and -4.71% on HEMI, represent the primary drag on the aggregate performance. Despite the notable drawdowns, the positive skew between average wins and average losses suggests a favorable risk-reward capture across the executed set 
.
Lessons from Drawdowns
The trades that resulted in losses, particularly the deeper drawdowns like the -7.50% on WOO, highlight the impact of volatility spikes exceeding the modeled risk tolerance. These instances suggest that while the system captures strong upside effectively, the downside capture needs refinement when encountering sharp, directional reversals. The spread between the best outcome (+14.50%) and the worst outcome (-7.50%) confirms the presence of high variance, which is a key factor to monitor when assessing regime shifts 
.
For Next Time
The data confirms that the positive expectancy is robust across a high trade count, suggesting the underlying framework is capturing market inefficiencies consistently. The structure of the wins versus the losses provides clear empirical data points regarding the magnitude of potential downside exposure versus realized upside capture. This quantitative review confirms the current operational parameters are yielding a statistically favorable edge, which is encouraging 
.
Notable trades (top 5 wins · top 5 losses)
| Result | Symbol | Buy | Sell | P&L | Held | Entry → Exit (KST) |
|---|---|---|---|---|---|---|
| win | Renzo(REZ) | 4.01 | 4.37 | +8.82% | 31.8h | 09-04 21:30 → 09-06 05:15 |
| win | 이오스트(IOST) | 0.817 | 0.8864 | +8.49% | 51.5h | 09-03 22:00 → 09-06 01:30 |
| win | Moo Deng(MOODENG) | 56.93 | 61.75 | +8.47% | 4.2h | 09-05 21:00 → 09-06 01:15 |
| win | Ultra(UOS) | 4.41 | 4.77 | +8.19% | 22.2h | 09-05 01:45 → 09-06 00:00 |
| win | 델리시움(AGI) | 8.18 | 8.71 | +6.43% | 11.5h | 09-05 13:00 → 09-06 00:30 |
| loss | ウー(WOO) | 15.86 | 14.67 | -7.50% | 9.2h | 09-06 01:00 → 09-06 10:15 |
| loss | 헤미(HEMI) | 18.48 | 17.61 | -4.71% | 1.0h | 09-05 22:30 → 09-05 23:30 |
| loss | ALTAVA(TAVA) | 3.89 | 3.72 | -4.47% | 1.8h | 09-05 22:15 → 09-06 00:00 |
| loss | 헤미(HEMI) | 17.58 | 16.80 | -4.44% | 1.2h | 09-06 00:15 → 09-06 01:30 |
| loss | 펌프닷펀(PUMP) | 5.64 | 5.41 | -4.13% | 5.8h | 09-05 21:45 → 09-06 03:30 |
Full data — all 574 closed trades: CSV download · or query live via OneQAZ MCP.
Related
- All-time track record: /track-record/all-time/
As of 2026-09-06 (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:
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- Synthesis — blog.oneqaz.com (daily reads · journals · track record)
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