2026-09-13 Crypto Trading Journal — Bengal
Key takeaways
- 738 closed trades, win rate 56.2%, expectancy +0.46% per trade.
- Profit factor 1.39 · avg win +2.89% vs avg loss -2.66% (R:R 1.09).
- Best +24.52% / worst -10.79% — every closed trade counted, losses included.
Metrics
| Metric | Value |
|---|---|
| Closed trades | 738 (415W / 323L) |
| Win rate | 56.2% |
| Expectancy / trade | +0.46% |
| Profit factor | 1.39 |
| Avg win / avg loss | +2.89% / -2.66% |
| Best / worst | +24.52% / -10.79% |
Recap
The session saw 738 closed trades, resulting in a positive expectancy of +0.46% per trade. The overall win rate settled at 56.2%, supported by a profit factor of 1.39. The average winning trade (+2.89%) slightly exceeded the average losing trade (-2.66%), which is a constructive indicator of the recent activity. Notable positive outcomes included gains on Mossland (MOC) at +10.18% and Polymesh (POLYX) at +8.39%, suggesting successful capture of momentum in specific assets. Conversely, losses were recorded on assets such as 콘엑스 (XPLA) at -5.86% and 레저메타 (LM) at -5.05%. 
Analysis of Outcomes
The performance metrics indicate a slight positive skew in the realized returns, with the average win size being marginally larger than the average loss size. The spread between the best outcome (+24.52%) and the worst outcome (-10.79%) highlights the significant variance inherent in the current market structure. The losses observed, particularly those exceeding 5% on XPLA and LM, suggest that while the overall directional bias was positive, specific resistance levels were encountered with notable force. 
Lessons from Drawdowns
The losses on XPLA, LM, and AGI underscore the importance of volatility management when momentum stalls. The magnitude of these drawdowns, relative to the average win size, suggests that the risk taken on these specific names was substantial. The data confirms that even with a positive expectancy, the variance requires careful observation, as a few larger negative deviations can temper overall performance. 
For Next Time
The current data set confirms the ability to generate positive expectancy across a high volume of trades. The focus remains on maintaining the positive risk-reward profile observed, recognizing that the spread between peak gains and realized losses remains wide. This historical performance serves as a factual baseline for evaluating future market regimes.
Notable trades (top 5 wins · top 5 losses)
| Result | Symbol | Buy | Sell | P&L | Held | Entry → Exit (KST) |
|---|---|---|---|---|---|---|
| win | Mossland(MOC) | 23.96 | 26.40 | +10.18% | 45.5h | 09-11 11:45 → 09-13 09:15 |
| win | 루미웨이브프로토콜(LWP) | 3.24 | 3.52 | +8.62% | 49.0h | 09-11 05:45 → 09-13 06:45 |
| win | Polymesh(POLYX) | 48.29 | 52.34 | +8.39% | 15.2h | 09-12 17:45 → 09-13 09:00 |
| win | Pump.fun(PUMP) | 4.87 | 5.28 | +8.33% | 17.2h | 09-12 09:15 → 09-13 02:30 |
| win | MovieBloc(MBL) | 1.01 | 1.09 | +8.15% | 25.0h | 09-12 12:00 → 09-13 13:00 |
| loss | 콘엑스(XPLA) | 8.18 | 7.70 | -5.86% | 1.8h | 09-12 19:45 → 09-12 21:30 |
| loss | 레저메타(LM) | 1.03 | 0.977 | -5.05% | 27.8h | 09-12 09:15 → 09-13 13:00 |
| loss | Delysium(AGI) | 7.12 | 6.80 | -4.54% | 4.5h | 09-12 22:45 → 09-13 03:15 |
| loss | Block Street(BSB) | 143.10 | 136.90 | -4.33% | 0.8h | 09-12 23:30 → 09-13 00:15 |
| loss | Squid(QUID) | 86.64 | 82.93 | -4.28% | 25.0h | 09-12 13:00 → 09-13 14:00 |
Full data — all 738 closed trades: CSV download · or query live via OneQAZ MCP.
Related
- All-time track record: /track-record/all-time/
As of 2026-09-13 (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:
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- Synthesis — blog.oneqaz.com (daily reads · journals · track record)
- Query — OneQAZ MCP (connect an AI to live data)