2026-07-14 Crypto Trading Journal — Bengal
⚠️ Correction (2026-07-16): A simulation data defect affecting 2026-07-08 through 07-15 was found, and this journal has been corrected and republished. A signal-persistence failure caused entries to be recorded at stale signal prices instead of live market prices, producing simulated trades at prices and returns that could not have existed in the market. The defective trades have been quarantined from the ledger and the engine has been repaired. This republished version reflects verified, valid trades only.
Key takeaways
- 8 closed trades, win rate 0.0%, expectancy -3.09% per trade.
- Profit factor 0.00 · avg win +0.00% vs avg loss -3.09% (R:R 0.00).
- Best -1.22% / worst -6.00% — every closed trade counted, losses included.
- Paper-trading simulation, not investment advice.
Metrics
| Metric | Value |
|---|---|
| Closed trades | 8 (0W / 8L) |
| Win rate | 0.0% |
| Expectancy / trade | -3.09% |
| Profit factor | 0.00 |
| Avg win / avg loss | +0.00% / -3.09% |
| Best / worst | -1.22% / -6.00% |
Recap
The closed trading activity today reflects a period of consistent negative outcomes. Across the eight executed trades, the overall win rate was zero, and the average expectancy was negative at -3.09% per trade. The performance metrics indicate that the average loss (-3.09%) significantly outweighed any gains, with the best recorded outcome being -1.22% and the worst being -6.00%. Specific notable losses included PolySwarm (NCT) at -6.00%, Radworks (RAD) at -3.63%, and 자마 (ZAMA) at -3.22%. 
Analysis of Outcomes
The sequence of closed trades suggests a pattern where downside exposure was realized repeatedly. The disparity between the average win and average loss figures, coupled with a zero profit factor, points to a lack of successful risk mitigation across the sampled trades. The observed losses, particularly those exceeding 3% in magnitude, highlight instances where directional conviction did not translate into positive price action. 
Lessons from the Session
The consistent negative expectancy derived from the closed trades underscores the challenge of navigating current market volatility. The losses incurred, such as those seen in NCT and RAD, emphasize that even when trades are executed based on observed flow, the market structure can quickly invalidate the initial thesis. The primary takeaway is the necessity of maintaining strict adherence to defined risk parameters when the prevailing sentiment remains subdued. 
Disclaimer: This research note is for analytical review purposes only and does not constitute investment advice.
Closed trades (chronological)
8 trades closed today. Excluding micro-scalps, 8 meaningful trades (held 30m+ or P&L ±1%+), earliest entry first.
| Result | Symbol | Buy | Sell | P&L | Held | Entry → Exit (KST) |
|---|---|---|---|---|---|---|
| loss | Sun Token(SUN) | 27.58 | 26.72 | -3.12% | 131.0h | 07-08 11:30 → 07-13 22:30 |
| loss | Bitcoin(BTC) | 94,357,263 | 92,563,344 | -1.90% | 149.8h | 07-08 12:15 → 07-14 18:00 |
| loss | Radworks(RAD) | 319.30 | 307.70 | -3.63% | 130.0h | 07-08 19:45 → 07-14 05:45 |
| loss | Gitcoin(GTC) | 102.10 | 98.87 | -3.16% | 111.0h | 07-09 12:00 → 07-14 03:00 |
| loss | PolySwarm(NCT) | 7.58 | 7.12 | -6.00% | 77.0h | 07-10 19:15 → 07-14 00:15 |
| loss | Clearpool(CPOOL) | 28.59 | 28.24 | -1.22% | 61.8h | 07-12 04:15 → 07-14 18:00 |
| loss | Sun Token(SUN) | 27.39 | 26.72 | -2.45% | 18.8h | 07-13 23:15 → 07-14 18:00 |
| loss | 자마(ZAMA) | 48.51 | 46.95 | -3.22% | 2.0h | 07-14 18:00 → 07-14 20:00 |
As of 2026-07-14 (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)