OneQAZ OneQAZ
← journal

2026-08-19 Crypto Trading Journal — Bengal

Key takeaways

  • 770 closed trades, win rate 41.6%, expectancy -0.56% per trade.
  • Profit factor 0.62 · avg win +2.21% vs avg loss -2.53% (R:R 0.87).
  • Best +34.91% / worst -13.59% — every closed trade counted, losses included.

Metrics

MetricValue
Closed trades770 (320W / 450L)
Win rate41.6%
Expectancy / trade-0.56%
Profit factor0.62
Avg win / avg loss+2.21% / -2.53%
Best / worst+34.91% / -13.59%

Recap

The day’s closed activity showed a mixed performance profile. Out of 770 trades executed, the win rate settled at 41.6%. The overall expectancy was negative at -0.56% per trade, with a profit factor of 0.62. The average winning trade yielded a gain of +2.21%, while the average losing trade resulted in a -2.53% reduction. Notable positive outcomes included Gnosis (GNO) at +34.91% and aelf (ELF) at +9.80%. Conversely, losses were recorded on dKargo (DKA) at -6.00% and House Party Protocol (HPP) at -5.03%. Bengal

Analysis of Outcomes

The disparity between the average win size and the average loss size suggests that while profitable trades occurred, the magnitude of the losses was sufficient to drag the overall expectancy negative. The notable wins, such as the significant move on GNO, indicate periods of strong directional conviction, but the frequency of losses, coupled with their average size, points toward an elevated risk profile being realized across the sampled trades. Bengal

Lessons from Losses

The trades that resulted in losses, such as those on DKA and HPP, highlight instances where the initial directional thesis failed to hold against market resistance. These outcomes suggest that when the initial momentum stalls or reverses against the established bias, the rate of decline can be sharp. The magnitude of these negative deviations warrants closer examination relative to the entry parameters used. Bengal

For Next Time

The data reflects a pattern where successful trades are punctuated by losses that, on average, exceed the gains from the winning trades. The focus remains on the structural relationship between the frequency of profitable entries and the average decay experienced during unsuccessful ones. This observation is purely descriptive of the recorded results.

Notable trades (top 5 wins · top 5 losses)

ResultSymbolBuySellP&LHeldEntry → Exit (KST)
winGnosis(GNO)146,246197,302+34.91%167.8h08-12 00:15 → 08-19 00:00
winaelf(ELF)74.2681.54+9.80%1.2h08-18 23:00 → 08-19 00:15
win랩트나인크로니클골드(WNCG)5.455.92+8.70%1.0h08-18 23:00 → 08-19 00:00
winChainbase(C)86.8093.91+8.19%6.8h08-18 14:30 → 08-18 21:15
winPump.fun(PUMP)3.894.20+7.92%24.0h08-18 07:15 → 08-19 07:15
lossdKargo(DKA)4.474.20-6.00%6.5h08-18 17:15 → 08-18 23:45
lossHouse Party Protocol(HPP)6.916.56-5.03%18.5h08-18 06:45 → 08-19 01:15
loss토카막네트워크(TOKAMAK)379.40360.60-4.96%19.8h08-18 09:00 → 08-19 04:45
lossHippo Protocol(HP)8.628.19-4.92%89.8h08-15 19:15 → 08-19 13:00
loss이온(AEON)126.10119.90-4.92%1.5h08-18 22:30 → 08-19 00:00
_P&L distribution (300 meaningful trades): min -6.00% · P25 -3.31% · median -0.14% · P75 +2.24% · max +34.91%_

Full data — all 770 closed trades: CSV download · or query live via OneQAZ MCP.

Related


As of 2026-08-19 (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: