2026-09-19 Crypto Trading Journal — Bengal
Key takeaways
- 273 closed trades, win rate 53.5%, expectancy +0.34% per trade.
- Profit factor 1.27 · avg win +2.97% vs avg loss -2.69% (R:R 1.10).
- Best +14.35% / worst -8.83% — every closed trade counted, losses included.
Metrics
| Metric | Value |
|---|---|
| Closed trades | 273 (146W / 127L) |
| Win rate | 53.5% |
| Expectancy / trade | +0.34% |
| Profit factor | 1.27 |
| Avg win / avg loss | +2.97% / -2.69% |
| Best / worst | +14.35% / -8.83% |
Recap
The day’s closed activity reflects a mixed outcome across the portfolio. Out of 273 trades executed, the win rate settled at 53.5%, yielding a positive expectancy of +0.34% per trade. The average winning trade (+2.97%) slightly exceeded the average losing trade (-2.69%), contributing to a profit factor of 1.27. The performance highlights significant upside capture, notably with CPOOL (+14.35%) and EDGE (+13.84%), which provided strong positive skew to the overall results. Conversely, the losses, such as DRV (-8.83%) and ROBO (-6.48%), indicate instances where downside risk materialized with notable magnitude. 
Observations on Drawdowns
The notable losses, particularly those exceeding 6% in magnitude, suggest that conviction levels were tested when market structure shifted against the initial thesis. These instances underscore that even when the overall directional bias appears sound, specific asset liquidity or immediate counter-momentum can lead to sharp, contained drawdowns. The spread between the best outcome (+14.35%) and the worst outcome (-8.83%) demonstrates the inherent volatility profile captured during the trading period. 
For Next Time
The data confirms that positive expectancy can be maintained even with a win rate slightly above 50%, provided the average win size sufficiently outweighs the average loss size. The magnitude of the best wins relative to the losses suggests that capturing large moves remains a viable component of the process. The consistency of the positive expectancy, despite the presence of several larger negative deviations, points toward a structural edge in the executed set of trades. 
This research note is for analytical review purposes only 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 | Clearpool(CPOOL) | 33.38 | 38.17 | +14.35% | 1.5h | 09-19 12:00 → 09-19 13:30 |
| win | Definitive(EDGE) | 135.10 | 153.80 | +13.84% | 0.0h | 09-19 15:00 → 09-19 15:00 |
| win | Tezos(XTZ) | 430.40 | 477.50 | +10.94% | 0.5h | 09-19 15:15 → 09-19 15:45 |
| win | MultiversX(EGLD) | 5,526 | 6,124 | +10.82% | 6.2h | 09-19 11:00 → 09-19 17:15 |
| win | AIOZ Network(AIOZ) | 108.10 | 117.90 | +9.07% | 0.5h | 09-19 17:00 → 09-19 17:30 |
| loss | Derive(DRV) | 705.70 | 643.40 | -8.83% | 0.0h | 09-19 09:30 → 09-19 09:30 |
| loss | Fabric Protocol(ROBO) | 13.59 | 12.71 | -6.48% | 0.8h | 09-19 09:30 → 09-19 10:15 |
| loss | 메타다오(META2) | 9,369 | 8,781 | -6.28% | 0.5h | 09-19 13:15 → 09-19 13:45 |
| loss | SynFutures(F) | 6.55 | 6.22 | -5.05% | 0.0h | 09-19 10:15 → 09-19 10:15 |
| loss | 메타다오(META2) | 8,508 | 8,107 | -4.71% | 0.5h | 09-19 14:30 → 09-19 15:00 |
Full data — all 273 closed trades: CSV download · or query live via OneQAZ MCP.
Related
- All-time track record: /track-record/all-time/
As of 2026-09-19 (KST).
Disclaimer: OneQAZ figures are paper-trading research, not investment advice. Past simulated performance does not predict future real-money results.
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