2026-09-21 Crypto Trading Journal — Bengal
Key takeaways
- 988 closed trades, win rate 69.9%, expectancy +1.19% per trade.
- Profit factor 2.46 · avg win +2.87% vs avg loss -2.71% (R:R 1.06).
- Best +22.23% / worst -14.26% — every closed trade counted, losses included.
Metrics
| Metric | Value |
|---|---|
| Closed trades | 988 (691W / 297L) |
| Win rate | 69.9% |
| Expectancy / trade | +1.19% |
| Profit factor | 2.46 |
| Avg win / avg loss | +2.87% / -2.71% |
| Best / worst | +22.23% / -14.26% |
Recap
The trading session saw a substantial volume of closed trades, totaling 988 instances. The overall performance metrics indicate a positive expectancy of +1.19% per trade, supported by a profit factor of 2.46. The win rate registered at 69.9%, suggesting a favorable risk-reward profile was maintained across the closed set. The average winning trade yielded a gain of +2.87%, which was notably larger than the average loss of -2.71%, contributing to the positive expected value. The notable gains in assets like Request (REQ) at +15.34% and Mask Network (MASK) at +11.09% were strong contributors to the overall positive outcome 
.
Observations from Outcomes
The recorded losses, such as ELYSIA (EL) at -4.53% and 엣지엑스 (EDGEX) at -4.47%, highlight instances where the downside risk materialized. These outcomes underscore that even with a high win rate, the magnitude of losses relative to gains requires careful observation. The best recorded gain of +22.23% against the worst loss of -14.26% shows a significant spread in outcomes, which is a key area for review 
.
For Next Time
The trades that resulted in losses, specifically those around the -4.2% to -4.5% range, suggest that when initial momentum stalls or reverses slightly, the risk management parameters need to be acutely tuned. The difference between the average win and average loss suggests that while the strategy captures upside effectively, the downside capture needs to be more consistently constrained to protect capital during minor pullbacks. This data points toward refining the sensitivity to early signs of mean reversion in volatile pairs.
This research note reflects historical paper-trading performance data 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 | Request(REQ) | 75.14 | 86.67 | +15.34% | 3.8h | 09-20 20:15 → 09-21 00:00 |
| win | Mask Network(MASK) | 628.60 | 698.30 | +11.09% | 42.8h | 09-19 14:00 → 09-21 08:45 |
| win | Cratos(CRTS) | 0.0832 | 0.0924 | +11.06% | 4.5h | 09-20 19:00 → 09-20 23:30 |
| win | 캠프네트워크(CAMP) | 0.5676 | 0.6167 | +8.65% | 10.0h | 09-20 14:00 → 09-21 00:00 |
| win | ZetaChain(ZETA) | 52.58 | 56.94 | +8.29% | 23.0h | 09-20 13:00 → 09-21 12:00 |
| loss | ELYSIA(EL) | 2.25 | 2.15 | -4.53% | 18.5h | 09-20 15:15 → 09-21 09:45 |
| loss | 엣지엑스(EDGEX) | 771.80 | 737.30 | -4.47% | 4.8h | 09-20 20:00 → 09-21 00:45 |
| loss | 플라즈마(XPL) | 123.10 | 117.90 | -4.22% | 10.2h | 09-20 12:00 → 09-20 22:15 |
| loss | Casper Network(CSPR) | 3.81 | 3.65 | -4.15% | 21.2h | 09-20 02:45 → 09-21 00:00 |
| loss | Cysic(CYS) | 213.20 | 204.80 | -3.94% | 3.5h | 09-20 19:00 → 09-20 22:30 |
Full data — all 988 closed trades: CSV download · or query live via OneQAZ MCP.
Related
- All-time track record: /track-record/all-time/
As of 2026-09-21 (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)