2026-09-16 Crypto Trading Journal — Bengal
Key takeaways
- 100 closed trades, win rate 11.0%, expectancy -2.69% per trade.
- Profit factor 0.11 · avg win +2.99% vs avg loss -3.39% (R:R 0.88).
- Best +4.67% / worst -8.36% — every closed trade counted, losses included.
Metrics
| Metric | Value |
|---|---|
| Closed trades | 100 (11W / 89L) |
| Win rate | 11.0% |
| Expectancy / trade | -2.69% |
| Profit factor | 0.11 |
| Avg win / avg loss | +2.99% / -3.39% |
| Best / worst | +4.67% / -8.36% |
Recap
The recent set of closed trades reflects a challenging period. The overall performance metrics indicate a negative expectancy per trade, with a win rate of 11.0% and a profit factor below parity. The average winning trade (+2.99%) was insufficient to offset the average losing trade (-3.39%). Notable positive outcomes, such as the gains on Gensyn (AI) and Access Protocol (ACS), were overshadowed by deeper drawdowns observed in positions like Momentum (MMT) and Golem (GLM). 
Observations
The distribution of outcomes suggests that the magnitude of losses is currently outpacing the gains. The best recorded gain (+4.67%) was significantly less impactful than the worst recorded loss (-8.36%). This disparity points to an elevated risk profile being realized across the closed set. The structure of the results indicates that while some directional calls found limited success, the overall risk management profile across the sampled trades resulted in negative net returns.
For next time
The losses incurred, particularly those exceeding 4% in magnitude, highlight sensitivity to immediate market reversals or sustained downward pressure. The data suggests that the current market regime is favoring caution, as the negative expectancy across the closed trades indicates that the risk taken on the downside has been materially costly. 
Note: This research note is based solely on 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 | Gensyn(AI) | 25.72 | 26.92 | +4.67% | 22.5h | 09-15 00:00 → 09-15 22:30 |
| win | Access Protocol(ACS) | 0.1959 | 0.2043 | +4.29% | 21.2h | 09-15 00:30 → 09-15 21:45 |
| win | Audius(AUDIO) | 17.31 | 17.97 | +3.81% | 40.5h | 09-14 05:00 → 09-15 21:30 |
| win | iExec RLC(RLC) | 377.40 | 391.60 | +3.76% | 29.0h | 09-14 18:00 → 09-15 23:00 |
| win | 어베일(AVAIL) | 2.73 | 2.82 | +3.22% | 41.8h | 09-15 01:00 → 09-16 18:45 |
| loss | Momentum(MMT) | 208.20 | 190.80 | -8.36% | 117.8h | 09-11 04:30 → 09-16 02:15 |
| loss | Golem(GLM) | 158.20 | 150.80 | -4.68% | 31.8h | 09-14 20:00 → 09-16 03:45 |
| loss | Huma Finance(HUMA) | 31.29 | 29.97 | -4.22% | 50.8h | 09-14 01:00 → 09-16 03:45 |
| loss | 디와이디엑스(DYDX) | 152.20 | 145.90 | -4.14% | 21.0h | 09-15 00:15 → 09-15 21:15 |
| loss | 터보(TURBO) | 1.22 | 1.17 | -4.02% | 26.5h | 09-15 01:15 → 09-16 03:45 |
Full data — all 100 closed trades: CSV download · or query live via OneQAZ MCP.
Related
- All-time track record: /track-record/all-time/
As of 2026-09-16 (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)