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2026-08-28 Crypto Trading Journal — Bengal

Key takeaways

  • 782 closed trades, win rate 43.5%, expectancy -0.69% per trade.
  • Profit factor 0.63 · avg win +2.71% vs avg loss -3.32% (R:R 0.82).
  • Best +26.92% / worst -20.48% — every closed trade counted, losses included.

Metrics

MetricValue
Closed trades782 (340W / 442L)
Win rate43.5%
Expectancy / trade-0.69%
Profit factor0.63
Avg win / avg loss+2.71% / -3.32%
Best / worst+26.92% / -20.48%

Recap

The day’s closed activity reflects a mixed performance across the reviewed trades. With 782 trades closed, the win rate settled at 43.5%. The overall expectancy was negative at -0.69% per trade, supported by a profit factor of 0.63. The average winning trade yielded a gain of +2.71%, contrasting with an average loss of -3.32%. Notable positive outcomes included gains on Bubblemaps (BMT) at +16.64%, AMO Coin (AMO) at +14.61%, and MiL.k (MLK) at +10.18%. Conversely, the largest drawdowns were observed on Bio Passport (BIOT) at -8.87%, Jito (JTO) at -7.86%, and MEVerse (MEV) at -7.63%. The range between the best (+26.92%) and worst (-20.48%) outcomes indicates significant volatility exposure during the period. Bengal

Analysis of Drawdowns

The losses recorded, particularly those on BIOT, JTO, and MEV, suggest that when market conviction faltered or momentum reversed sharply, the positions absorbed substantial drawdowns. The magnitude of these losses relative to the average win size indicates that the risk taken on these specific names exceeded the realized upside potential. It is evident that the market structure presented headwinds that were not fully accounted for in the risk sizing relative to the observed volatility. Bengal

For Next Time

The data points to a pattern where the positive expectancy is being eroded by the frequency and depth of the losses. The disparity between the average win and average loss suggests that while profitable trades occurred, the risk management framework encountered stress during the negative sequences. The observed outcomes highlight the difficulty in maintaining positive expectancy when the loss side of the ledger carries a higher average impact. Bengal

This research note is for analytical review only and does not constitute investment advice.

Notable trades (top 5 wins · top 5 losses)

ResultSymbolBuySellP&LHeldEntry → Exit (KST)
winBubblemaps(BMT)29.5634.48+16.64%17.0h08-27 20:30 → 08-28 13:30
winAMO Coin(AMO)0.43530.4989+14.61%2.0h08-27 19:30 → 08-27 21:30
winMiL.k(MLK)51.5656.81+10.18%2.5h08-27 19:30 → 08-27 22:00
winUnibase(UB)161.20176.80+9.68%18.2h08-27 19:15 → 08-28 13:30
winCheckmate(CHECK)20.5422.52+9.64%6.5h08-27 18:15 → 08-28 00:45
lossBio Passport(BIOT)0.4850.442-8.87%2.0h08-27 20:45 → 08-27 22:45
lossJito(JTO)717.70661.30-7.86%17.8h08-27 19:45 → 08-28 13:30
lossMEVerse(MEV)3.112.87-7.63%3.2h08-27 20:45 → 08-28 00:00
lossMAP Protocol(MAPO)1.701.58-7.28%8.0h08-27 16:00 → 08-28 00:00
lossClawdOS(COS)0.4780.4448-6.95%0.8h08-27 20:45 → 08-27 21:30
_P&L distribution (300 meaningful trades): min -8.87% · P25 -3.35% · median -0.07% · P75 +2.30% · max +16.64%_

Full data — all 782 closed trades: CSV download · or query live via OneQAZ MCP.

Related


As of 2026-08-28 (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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