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2026-08-10 Crypto Trading Journal — Bengal

Key takeaways

  • 754 closed trades, win rate 46.0%, expectancy -0.01% per trade.
  • Profit factor 0.99 · avg win +3.02% vs avg loss -2.59% (R:R 1.17).
  • Best +23.06% / worst -36.96% — every closed trade counted, losses included.

Metrics

MetricValue
Closed trades754 (347W / 407L)
Win rate46.0%
Expectancy / trade-0.01%
Profit factor0.99
Avg win / avg loss+3.02% / -2.59%
Best / worst+23.06% / -36.96%

Recap

The day’s closed activity shows a mixed outcome across the 754 trades executed. The win rate settled at 46.0%, with an overall expectancy of -0.01% per trade. The average winning trade realized a gain of +3.02%, while the average losing trade incurred a loss of -2.59%. The best recorded gain was +23.06% on GRND, contrasted by a notable drawdown of -36.96% on BMT. The performance metrics suggest that while significant gains were captured, the frequency and magnitude of losses are keeping the overall expected value near zero, which feels somewhat precarious Bengal.

Analysis of Outcomes

The notable wins, such as the gains on GRND and CAP, indicate periods where directional conviction led to substantial positive returns. Conversely, the losses on SHELL, XAN, and BMT highlight instances where the market moved against the established trade parameters. The spread between the best and worst outcomes is quite wide, suggesting that while high-reward opportunities exist, the risk profile exposed during drawdowns is substantial. The profit factor of 0.99 suggests that the total losses slightly outweigh the total gains across the measured set of trades.

Lessons from Drawdowns

The losses incurred on SHELL, XAN, and BMT suggest that the market exhibited considerable resistance or reversal patterns following initial entries. Specifically, the depth of the losses relative to the average win size indicates that the stop-loss discipline, while executed, was tested by volatility that exceeded the initial risk assumptions. It is apparent that maintaining capital preservation during sharp reversals remains a significant challenge, even when the initial thesis appears sound Bengal.


This research note reflects a simulation of past trading activity and does not constitute financial advice or an endorsement of any trading strategy.

Notable trades (top 5 wins · top 5 losses)

ResultSymbolBuySellP&LHeldEntry → Exit (KST)
winSuperWalk GRND(GRND)13.0116.01+23.06%11.8h08-09 12:15 → 08-10 00:00
win캡(CAP)54.8366.71+21.67%11.8h08-09 22:45 → 08-10 10:30
winDAO Maker(DAO)30.5734.64+13.31%17.5h08-09 06:30 → 08-10 00:00
winBounceBit(BB)19.5021.71+11.33%27.0h08-09 02:45 → 08-10 05:45
winMyShell(SHELL)29.7033.05+11.28%0.0h08-09 23:15 → 08-09 23:15
lossMyShell(SHELL)34.3931.23-9.19%0.2h08-09 23:30 → 08-09 23:45
lossAnoma(XAN)28.8426.47-8.22%0.0h08-09 21:30 → 08-09 21:30
lossBubblemaps(BMT)34.3731.72-7.71%0.5h08-09 22:00 → 08-09 22:30
lossLorenzo Protocol(BANK)65.9460.94-7.58%0.5h08-09 21:30 → 08-09 22:00
lossGitcoin(GTC)125.10116.90-6.55%10.5h08-09 14:45 → 08-10 01:15
_P&L distribution (300 meaningful trades): min -9.19% · P25 -3.26% · median +0.17% · P75 +2.72% · max +23.06%_

Full data — all 754 closed trades: CSV download · or query live via OneQAZ MCP.

Related


As of 2026-08-10 (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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