2026-09-28 Crypto Trading Journal — Bengal
Key takeaways
- 1071 closed trades, win rate 25.8%, expectancy -1.65% per trade.
- Profit factor 0.29 · avg win +2.60% vs avg loss -3.13% (R:R 0.83).
- Best +19.03% / worst -11.16% — every closed trade counted, losses included.
Metrics
| Metric | Value |
|---|---|
| Closed trades | 1071 (276W / 795L) |
| Win rate | 25.8% |
| Expectancy / trade | -1.65% |
| Profit factor | 0.29 |
| Avg win / avg loss | +2.60% / -3.13% |
| Best / worst | +19.03% / -11.16% |
Recap
The recent closed trading activity shows a mixed outcome. Out of the 1071 trades executed, the win rate settled at 25.8%. The average profit realized on winning trades was +2.60%, contrasting with an average loss of -3.13% on losing trades. The profit factor of 0.29 suggests that the magnitude of losses has significantly outweighed the gains. Notable positive returns included gains on GAME2 (+19.03%), BOBA (+17.60%), and AIOZ (+8.38%). Conversely, notable drawdowns occurred on SAPIEN (-4.77%), AWE (-4.71%), and AL (-4.63%). The overall expectancy for the closed set was negative at -1.65% per trade 
.
Observations
The disparity between the average win size and the average loss size is a key factor in the negative expectancy. The depth of the losses, as evidenced by the worst recorded loss of -11.16%, suggests that risk management parameters were tested significantly across the set of trades. The notable wins, while substantial, were not sufficient to offset the cumulative impact of the losses observed. This pattern indicates that while identifying high-potential setups is possible, the risk taken on the unsuccessful trades has been disproportionately large 
.
For Next Time
The performance highlights that the frequency of smaller wins is currently insufficient to compensate for the magnitude of the losses incurred. The data points toward a need for stricter adherence to loss mitigation, as the largest single losses are contributing heavily to the negative expectancy. The observed spread between the best and worst outcomes suggests a high degree of volatility exposure within the executed trades 
.
This research note reflects the analysis of historical paper-trading results and does not constitute investment advice.
Notable trades (top 5 wins · top 5 losses)
| Result | Symbol | Buy | Sell | P&L | Held | Entry → Exit (KST) |
|---|---|---|---|---|---|---|
| win | 게임빌드(GAME2) | 1.42 | 1.69 | +19.03% | 19.0h | 09-27 14:00 → 09-28 09:00 |
| win | Boba Cat(BOBA) | 29.03 | 34.14 | +17.60% | 23.5h | 09-27 00:30 → 09-28 00:00 |
| win | AIOZ Network(AIOZ) | 162.20 | 175.80 | +8.38% | 16.5h | 09-27 13:45 → 09-28 06:15 |
| win | Audius(AUDIO) | 20.36 | 22.00 | +8.06% | 10.2h | 09-27 11:00 → 09-27 21:15 |
| win | 펏지펭귄(PENGU) | 13.66 | 14.76 | +8.05% | 3.2h | 09-27 18:15 → 09-27 21:30 |
| loss | 사피엔(SAPIEN) | 109.10 | 103.90 | -4.77% | 44.2h | 09-26 18:00 → 09-28 14:15 |
| loss | AWE Network(AWE) | 100.10 | 95.39 | -4.71% | 7.8h | 09-27 14:00 → 09-27 21:45 |
| loss | ArchLoot(AL) | 2.83 | 2.70 | -4.63% | 32.8h | 09-26 23:00 → 09-28 07:45 |
| loss | Impossible Cloud Network Token(ICNT) | 136.10 | 129.90 | -4.56% | 16.5h | 09-27 20:00 → 09-28 12:30 |
| loss | Helium(HNT) | 684.70 | 654.30 | -4.44% | 18.5h | 09-27 14:00 → 09-28 08:30 |
Full data — all 1071 closed trades: CSV download · or query live via OneQAZ MCP.
Related
- All-time track record: /track-record/all-time/
As of 2026-09-28 (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)