2026-09-25 Crypto Trading Journal — Bengal
Key takeaways
- 771 closed trades, win rate 72.0%, expectancy +1.36% per trade.
- Profit factor 2.78 · avg win +2.96% vs avg loss -2.74% (R:R 1.08).
- Best +23.04% / worst -7.25% — every closed trade counted, losses included.
Metrics
| Metric | Value |
|---|---|
| Closed trades | 771 (555W / 216L) |
| Win rate | 72.0% |
| Expectancy / trade | +1.36% |
| Profit factor | 2.78 |
| Avg win / avg loss | +2.96% / -2.74% |
| Best / worst | +23.04% / -7.25% |
Recap
The session saw a high volume of activity with 771 closed trades, resulting in a positive expectancy of +1.36% per trade. The win rate remained robust at 72.0%, supported by a profit factor of 2.78. The average winning trade (+2.96%) significantly outweighed the average losing trade (-2.74%), indicating a favorable risk/reward profile across the closed set. Notable successes included significant gains on SONIC (+11.71%) and OBT (+10.09%), which provided a strong lift to the overall performance. 
Analysis of Outcomes
The notable losses, such as NIL (-6.00%) and FLOCK (-5.68%), suggest instances where market momentum shifted against the established trade direction. The spread between the best gain (+23.04%) and the worst loss (-7.25%) highlights the potential magnitude of swings captured during the observed period. The positive skew between average win and average loss confirms that the successful trades were substantially larger than the unsuccessful ones. 
Lessons from Drawdowns
The trades that resulted in losses, particularly those involving NIL and DBR, point toward periods of sharp, directional rejection. These instances underscore that even with a high win rate, the magnitude of adverse movements can temper overall returns. The data suggests that while the system captures strong upside, the downside risk, when realized, can be substantial. 
For Next Time
The overall metrics—the high win rate combined with a healthy profit factor—indicate a statistically positive regime for the closed trades. The objective takeaway is the clear differentiation between the average positive outcome and the average negative outcome, which remains the primary driver of the positive expectancy. This review confirms the pattern of capturing significant upside while managing the frequency and size of drawdowns.
Notable trades (top 5 wins · top 5 losses)
| Result | Symbol | Buy | Sell | P&L | Held | Entry → Exit (KST) |
|---|---|---|---|---|---|---|
| win | Sonic SVM(SONIC) | 34.76 | 38.83 | +11.71% | 28.2h | 09-23 23:15 → 09-25 03:30 |
| win | Orbiter Finance(OBT) | 0.5084 | 0.5597 | +10.09% | 9.8h | 09-24 21:45 → 09-25 07:30 |
| win | 바운스빗(BB) | 13.32 | 14.57 | +9.38% | 5.2h | 09-24 17:30 → 09-24 22:45 |
| win | Checkmate(CHECK) | 15.83 | 17.15 | +8.34% | 14.2h | 09-24 09:45 → 09-25 00:00 |
| win | Worldcoin(WLD) | 570.60 | 610.40 | +6.98% | 9.0h | 09-24 14:15 → 09-24 23:15 |
| loss | Nillion(NIL) | 173.20 | 162.80 | -6.00% | 0.0h | 09-24 22:15 → 09-24 22:15 |
| loss | 플록(FLOCK) | 101.10 | 95.36 | -5.68% | 0.8h | 09-24 22:00 → 09-24 22:45 |
| loss | deBridge(DBR) | 27.93 | 26.68 | -4.48% | 4.5h | 09-24 17:00 → 09-24 21:30 |
| loss | 베로나(VERONA) | 156.20 | 149.80 | -4.10% | 20.8h | 09-24 02:30 → 09-24 23:15 |
| loss | Huma Finance(HUMA) | 34.93 | 33.56 | -3.92% | 0.5h | 09-24 22:15 → 09-24 22:45 |
Full data — all 771 closed trades: CSV download · or query live via OneQAZ MCP.
Related
- All-time track record: /track-record/all-time/
As of 2026-09-25 (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:
- Live — dashboard stream (the system’s screen, 24/7)
- Synthesis — blog.oneqaz.com (daily reads · journals · track record)
- Query — OneQAZ MCP (connect an AI to live data)