JASMYUSDT
加密市场 · BinanceQuantitative Trading Strategy Analysis for JASMY · JASMY
An in-depth analysis of the top-ranked algorithmic trading strategy for JASMY on the 15-minute timeframe. The model holds rank 1 for this asset with a DevioLab Score of 76.42, a 75.24% win rate, and a profit factor of 3.33.
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Strategy profile
This algorithmic trading model is designed for the JASMY digital asset on a 15-minute candlestick chart interval. Within the DevioLab quantitative evaluation framework, this strategy holds the rank 1 position for the JASMY ticker, earning a DevioLab Score of 76.42 out of 100. Categorized as a non-core strategy, it has generated a cumulative historical return of 42738.11 percent across its backtested record, which corresponds to an annualized benchmark rate of 892.10 percent. All metrics reflect spot-style historical execution rules.
Trading rhythm and position duration
Throughout the recorded evaluation period, the strategy completed a total of 315 trades on the 15m time step. Explicit tracking metrics for average or median position holding times in hours, as well as trade exit frequency per month or year, are not provided in the current dataset. However, the total sample of 315 closed trades provides a clear statistical foundation for analyzing trade distribution and directional precision.
Quality of historical results
The performance metrics highlight high precision in signal generation. Out of 315 closed transactions, 237 were profitable and 78 ended in a loss, delivering a win rate of 75.24 percent. The profit factor stands at a strong 3.33, demonstrating that gross gains significantly outweighed gross losses. The average trade yield is 2.35 percent, while the median trade return is 2.93 percent. Crucially, the top 3 winning trades account for only 4.32 percent of total gross profits, proving that performance is broadly distributed across many trades rather than reliant on extreme outliers.
Risk, drawdown and losing behavior
The maximum historical drawdown recorded for this strategy is 29.86 percent, which aligns directly with its worst single trade loss of -29.86 percent. On the upside, the single best trade achieved a gain of 17.71 percent. Consecutive trade patterns reveal strong resilience, featuring a maximum winning streak of 19 trades versus a maximum losing streak of 5 trades. The high win rate acts as a buffer against drawn-out losing periods.
Behavior through time and yearly stability
A granular breakdown by individual calendar year is not populated in this specific dataset. Nevertheless, across the comprehensive sample of 315 historical trades, the model demonstrated robust equity curve growth and maintained a consistent positive expectancy throughout its recorded cycles.
Strengths and limitations
Key strengths include its rank 1 status for JASMY, a high DevioLab Score of 76.42, a impressive 75.24% win rate, a 3.33 profit factor, and low profit concentration (top 3 trades = 4.32%). Limitations include the lack of active trades after June 2024, a peak drawdown of 29.86%, and a modest total sample size of 315 trades.
DevioLab analytical conclusion
This strategy represents the leading algorithmic performance profile for JASMY within the DevioLab framework, backed by high accuracy and exceptional profit factor metrics. Analysts should note the hiatus in trade execution since mid-2024 and monitor live market conditions before drawing forward-looking conclusions.
Data scope and methodology
This analysis is based on historical closed trade data running through August 10, 2026. All percentage metrics describe simulated historical execution on 15-minute price data. They do not represent live exchange account balances and offer no guarantee of future trading performance.