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Kryptomarkt · BinanceQuantitative Strategy Analysis: ENS · ENS on 15m Timeframe
A detailed quantitative examination of the ENS 215000 +39100.54% TRAD-QUP4 algorithmic trading strategy for ENS. Historical metrics, drawdown profiles, trade distribution, and risk characteristics derived from 106 closed trades.
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Strategy profile
The ENS 215000 +39100.54% TRAD-QUP4 strategy is an algorithmic trading model designed for the ENS spot market on a 15-minute candlestick chart. Within the comparative ticker rankings for ENS, this strategy holds the rank 1 position with a DevioLab Score of 66.14. The dataset covers a time span of 4.76 years, starting on November 10, 2021, and extending through August 14, 2026. Across this historical window, the model accumulated a total return of 29065.78%, translating to an annualized return rate of 885.87% under simulated backtest conditions.
Trading rhythm and position duration
Over the 4.76-year sample, the strategy executed 106 completed trades, which equates to an average trade frequency of 22.27 trades per year. Despite operating on a 15-minute timeframe, the selective trade count places the system into a moderate-frequency trading category rather than a high-frequency scalping style. Specific telemetry regarding average or median holding duration in hours, as well as days between exits, is not recorded in the source statistical dataset.
Quality of historical results
The historical trade metrics demonstrate exceptional win rate consistency. Out of 106 completed trades, 84 were profitable while 22 resulted in losses, delivering a win rate of 79.25%. The average trade profit reached 7.04%, with a median trade profit of 7.51%. The overall profit factor stands at 4.00. Profit distribution is well-balanced across trades, as the top 3 winning trades account for only 10.83% of gross profit. This indicates that total returns are driven by consistent positive execution rather than reliance on extreme outlier trades.
Risk, drawdown and losing behavior
Risk parameters indicate significant equity volatility despite the high win rate. The strategy experienced a maximum drawdown of 51.97%. The best single trade recorded a gain of 43.96%, whereas the worst trade incurred a loss of -62.07%. Consecutive trade behavior highlights a maximum winning streak of 14 trades compared to a maximum losing streak of just 3 trades. While losing streaks are brief, individual drawdowns on losing positions can be severe.
Behavior through time and yearly stability
Across the full 4.76-year historical timeline, the model achieved a cumulative profit of 29065.78% and an annualized return of 885.87%. Granular yearly breakdown data is not provided in the historical statistics. Nevertheless, maintaining a profit factor of 4.00 across the multi-year history confirms structural durability over the broader period from late 2021 through mid-2026, even though individual annual return distributions are unlisted.
Strengths and limitations
Key strengths include the rank 1 position for ENS, a 79.25% win rate, a 4.00 profit factor, a maximum losing streak of only 3 trades, and low profit concentration in top trades (10.83%). Limitations include a deep maximum drawdown of 51.97%, a severe worst-case single trade loss of -62.07%, a pause in trade activity since June 2024, and a modest sample size of 106 total trades over 4.76 years.
DevioLab analytical conclusion
The ENS 215000 +39100.54% TRAD-QUP4 strategy stands as the top-ranked model for ENS with a DevioLab Score of 66.14. Its strong win rate and 4.00 profit factor reflect high historical precision. However, potential drawdowns of 51.97% and worst-case trade losses of -62.07% highlight the necessity of careful risk management. The lack of active trades in the recent period warrants ongoing observation before evaluating future implementation.
Data scope and methodology
This analysis is based on historical backtested closed trades for ENS on the 15m timeframe covering November 10, 2021, through August 14, 2026 (4.76 years, 106 completed trades). All figures represent simulated performance metrics and do not represent guaranteed future results or live account returns.