PEPEUSDT
Marché crypto · BinanceQuantitative Analysis of PEPE · PEPE Strategy on the 15-Minute Timeframe
An in-depth quantitative research report on the PEPE 50000 +614.53% 1TRAD-QPJ9 automated strategy featuring a DevioLab Score of 81.27 and a 90% historical win rate.
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Strategy profile
The PEPE 50000 +614.53% 1TRAD-QPJ9 algorithmic strategy is configured for trading the PEPE asset on a 15-minute chart interval. In internal comparative benchmarks, this strategy holds the rank 1 position among all evaluated algorithms for this specific asset, achieving a DevioLab Score of 81.27. Historical simulation records a cumulative profit of 2885.79% with an annualized projection of 2003.19%. This evaluation is based on a sample of 30 completed trades, reflecting a selective signaling mechanism on the 15m chart.
Trading rhythm and position duration
Across the evaluated dataset, the system completed 30 trades in total. Specific duration metrics, such as average or median holding hours and trades per month or year, were not calculated for this dataset. Despite operating on a 15-minute bar timeframe, the overall low trade count points toward a filtered, highly selective trading rhythm rather than an ultra-frequent execution style.
Quality of historical results
The quality of historical outcomes highlights strong trade selection. Out of 30 closed trades, 27 were winning trades, yielding a win rate of 90%, while only 3 trades resulted in a loss. The profit factor stands at 7.50, demonstrating a substantial margin of gross gains over losses. The average trade gain reached 13.06%, with a median trade return of 10.47%. The single best trade delivered a 50.30% gain. Furthermore, the top 3 winning trades generated 28.88% of the total gross profit, pointing to balanced distribution without reliance on a single outlier.
Risk, drawdown and losing behavior
Risk containment remained solid throughout the backtest, with a maximum drawdown of 15.07%. The single worst trade recorded a loss of -12.69%. Sequence metrics show remarkable consistency during favorable runs, featuring a longest winning streak of 18 trades and a longest losing streak limited to just 1 trade.
Behavior through time and yearly stability
Yearly breakdown metrics are not available in the provided statistical dataset. Consequently, performance distribution across distinct annual market cycles cannot be separately quantified. Readers should note that while historical performance metrics are strong, they are derived from a compact sample of 30 total trades.
Strengths and limitations
Key strengths of this model include its high win rate of 90%, a low maximum drawdown of 15.07%, and a robust profit factor of 7.50. Limitations comprise the small sample size of 30 completed trades, the lack of active trades since June 2024, and the absence of granular holding duration statistics.
DevioLab analytical conclusion
The PEPE 50000 +614.53% 1TRAD-QPJ9 system presents impressive efficiency metrics and drawdown control, placing first in ticker rankings for PEPE. However, analysts should account for the limited trade sample size of 30 trades and the inactivity observed in the recent market period.
Data scope and methodology
This analysis is based on historical closed trade data up to August 10, 2026, for the 15m timeframe in crypto market spot/derivative historical simulations. All percentage returns describe simulated historical performance. They do not represent exact live account balances on Binance and offer no guarantee of future trading performance.