STRKUSDT
Mercado cripto · BinanceQuantitative Strategy Analysis: STRK · STRK on 15m Interval
Quantitative breakdown of the algorithmic model STRK 215000 +27067.03% 1TRAD-MVQ5 for STRK. The strategy ranks first for this ticker with a DevioLab Score of 77.10, featuring an 82.35% win rate and a Profit Factor of 5.0.
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Strategy profile
The algorithmic trading strategy STRK 215000 +27067.03% 1TRAD-MVQ5 is designed for the crypto asset STRK on the 15-minute timeframe. Within the DevioLab ranking framework for this ticker, it holds the top rank with an overall DevioLab Score of 77.10. The backtested dataset spans approximately 2.48 years, starting from February 20, 2024, through August 14, 2026. Over this historical window, the model executed 68 completed trades, providing a quantitative sample to evaluate its statistical distribution under non-leveraged spot market conditions.
Trading rhythm and position duration
The strategy operates with a selective trading frequency, generating 68 completed trades across the 2.48-year sample period. This translates to an annualized rate of approximately 27.40 trades per year. Although built on a 15-minute candle structure, the logic avoids over-trading and focuses on specific market triggers. Detailed duration metrics, such as average holding hours, median holding hours, and median days between exits, are not available in the provided stats. However, the low trade count indicates a disciplined execution rhythm rather than continuous market engagement.
Quality of historical results
Historical performance is characterized by high win accuracy and strong payoff efficiency. Out of 68 total trades, 56 were profitable and 12 were loss-making, yielding a win rate of 82.35%. The system achieved a Profit Factor of 5.0, meaning total gross profits were five times larger than total gross losses. The overall historical gain reached 27067.03%, translating to an annualized figure of 20865.12%. The average return per trade was 9.48% with a median trade return of 8.67%. The single best trade delivered 52.06%, while the top three winning trades accounted for 19.11% of gross profits, demonstrating a healthy profit distribution without extreme outlier dependency.
Risk, drawdown and losing behavior
Risk parameters show manageable downside relative to total return. The maximum historical equity drawdown was capped at 24.22%. The worst single losing trade recorded a loss of -15.50%. Analysis of streak dynamics shows a maximum winning streak of 12 consecutive trades and a maximum losing streak of just 2 consecutive trades. This tight losing streak behavior highlights the strategy's capacity to minimize prolonged drawdown spells.
Behavior through time and yearly stability
Across the 2.48-year evaluation window, explicit calendar-year breakdowns are not available in the source data. Nevertheless, the consistency of the strategy's mathematical expectation is reflected in the close proximity of the average trade gain (9.48%) to the median trade gain (8.67%). This alignment suggests that returns were generated fairly steadily during active trading phases rather than being distorted by isolated skewness.
Strengths and limitations
Core strengths of the strategy include its high Profit Factor of 5.0, an 82.35% win rate, and a short peak losing streak of only 2 trades. Profit concentration is low, with the top three winning trades representing only 19.11% of gross profits. Key limitations include the modest overall sample size of 68 trades, the concentration of trading activity in early 2024, and zero trade triggers after June 1, 2024. Furthermore, the maximum drawdown of 24.22% and worst trade loss of -15.50% underline the necessity of prudent position sizing.
DevioLab analytical conclusion
The STRK 215000 +27067.03% 1TRAD-MVQ5 strategy stands out as the highest-ranked quantitative model for STRK on the 15-minute timeframe, backed by an impressive 77.10 DevioLab Score. Its historical win rate and profit factor highlight strong efficiency when setup criteria are met. However, the extended inactivity following May 2024 warrants careful monitoring to ensure the algorithm aligns with evolving market regimes in STRK.
Data scope and methodology
This analysis is based on historical simulated backtest results of closed trades for STRK on a 15m interval from 2024-02-20 to 2026-08-14. All percentage figures describe simulated past execution and do not represent actual live Binance account returns or guarantee future profitability. This study is provided strictly for educational and analytical purposes and does not constitute financial advice.