2026-07-28 Crypto Trading Journal — Bengal
Key takeaways
- 1280 closed trades, win rate 26.3%, expectancy -1.55% per trade.
- Profit factor 0.28 · avg win +2.35% vs avg loss -2.95% (R:R 0.80).
- Best +21.12% / worst -11.08% — every closed trade counted, losses included.
Metrics
| Metric | Value |
|---|---|
| Closed trades | 1280 (337W / 943L) |
| Win rate | 26.3% |
| Expectancy / trade | -1.55% |
| Profit factor | 0.28 |
| Avg win / avg loss | +2.35% / -2.95% |
| Best / worst | +21.12% / -11.08% |
Recap
The day’s closed activity shows a notable divergence between winning and losing trade profiles. The average win size of +2.35% contrasts with an average loss of -2.95%, suggesting that while profitable trades occurred, the magnitude of losses tended to outweigh the gains on average. The overall expectancy of -1.55% per trade indicates that, across the 1280 closed instances, the cumulative results were negative. The profit factor at 0.28 reinforces this observation, pointing to a structure where losses were more impactful than gains.
Observations on Performance
The notable positive outcomes, such as the Build On BNB (BOB) gain of +21.12%, suggest instances where directional conviction led to significant positive deviation. Conversely, the losses recorded, including Observer (OBSR) at -7.09% and LWP at -6.05%, highlight areas where the market moved against the established trade thesis. The spread between the best result (+21.12%) and the worst result (-11.08%) indicates considerable volatility captured across the executed set of trades. 
Lessons from Negative Outcomes
The pattern observed in the losing trades—where the average loss magnitude exceeded the average win magnitude—suggests a sensitivity to market retracements or sudden shifts in momentum. The frequency of trades resulting in losses, despite the high volume of activity, points toward an overexposure to downside risk within the executed set. 
For Next Time
The data suggests that the risk profile, as executed through the closed trades, resulted in a net negative expectation. The disparity between the average win and average loss size warrants attention when assessing the risk-reward balance across a larger sample set. 
Notable trades (top 5 wins · top 5 losses)
| Result | Symbol | Buy | Sell | P&L | Held | Entry → Exit (KST) |
|---|---|---|---|---|---|---|
| win | Build On BNB(BOB) | 5.40 | 6.54 | +21.12% | 21.5h | 07-27 02:30 → 07-28 00:00 |
| win | 에이피아이쓰리(API3) | 319.30 | 362.60 | +13.56% | 27.2h | 07-26 23:30 → 07-28 02:45 |
| win | 달오픈네트워크(D) | 2.84 | 3.08 | +8.42% | 15.2h | 07-27 07:30 → 07-27 22:45 |
| win | 베로나(VERONA) | 163.20 | 176.80 | +8.33% | 17.2h | 07-27 07:45 → 07-28 01:00 |
| win | Xterio(XTER) | 11.77 | 12.36 | +5.01% | 6.8h | 07-27 16:30 → 07-27 23:15 |
| loss | Observer(OBSR) | 0.4654 | 0.4324 | -7.09% | 17.8h | 07-27 15:30 → 07-28 09:15 |
| loss | 루미웨이브프로토콜(LWP) | 3.78 | 3.56 | -6.05% | 26.8h | 07-27 06:15 → 07-28 09:00 |
| loss | Stable(STABLE) | 56.40 | 53.22 | -5.64% | 35.2h | 07-26 20:00 → 07-28 07:15 |
| loss | 퀀텀(QTUM) | 994.00 | 938.10 | -5.62% | 46.5h | 07-25 23:45 → 07-27 22:15 |
| loss | 메디블록(MED) | 2.04 | 1.93 | -5.39% | 61.5h | 07-25 21:15 → 07-28 10:45 |
Full data — all 1280 closed trades: CSV download · or query live via OneQAZ MCP.
Related
- All-time track record: /track-record/all-time/
As of 2026-07-28 (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)