DELL · Dell Technologies Inc.
Stock Universe · global stock marketDELL · Dell Technologies Inc. Quantitative Analysis: High-Precision Selective Trading on 15-Minute Charts
This analytical report examines the historical performance profile of the core quantitative trading strategy for Dell Technologies Inc. (DELL) operating on a 15-minute execution timeframe. Over a total historical sample of 6.93 years spanning from September 16, 2019 to August 22, 2026, the strategy generated a cumulative historical gain of 46,936.93 percent across 72 completed trades, yielding an annualized equivalent return of 1,364.46 percent. The strategy achieves a DevioLab score of 80.30, positioning it at rank 1 for the DELL ticker. Key statistical attributes include an extraordinary win rate of 84.72 percent, a profit factor of 4.44, and a maximum drawdown of 18.26 percent. A critical structural feature of this system is its extreme trade selectivity, averaging just 10.39 completed trades per year. Furthermore, the strategy exhibits low dependence on extreme outliers, as the top three winning trades account for only 19.19 percent of gross profit. However, recent historical evidence since June 1, 2024 includes zero completed trades, highlighting an operational shift toward extended inactivity. This evaluation breaks down the interplay between entry precision, payoff distribution, drawdown characteristics, and sample limitations.
Analysis as of 22.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
The quantitative strategy evaluated for Dell Technologies Inc., designated as DELLB 0 +46936.93% 1TRAD-RXG8, represents the core system for the DELL ticker on a 15-minute sampling interval. Holding a DevioLab score of 80.30 and ranked first among evaluated strategies for this stock, the system demonstrates an exceptional historical return trajectory relative to its peak drawdown. The underlying statistical dataset spans 6.93 years, beginning on September 16, 2019 and ending on August 22, 2026. Across this extended observation window, the algorithm completed 72 closed trades, of which 61 were profitable and 11 resulted in losses. The cumulative profit across the full history reached 46,936.93 percent, which translates to a mathematical annualized figure of 1,364.46 percent under compound trade accounting. This core designation signifies that the strategy achieved the highest independent scoring balance between win frequency, payoff ratio, and drawdown mitigation within the DELL parameter search space.
Trading rhythm and position duration
Despite operating on a granular 15-minute price interval, the strategy exhibits an exceptionally low execution frequency. Over the nearly seven-year history, the system averaged 10.39 completed trades per year, which equates to less than one completed trade per month on average. Granular metrics for average holding hours, median holding hours, and days between exits are unrecorded in this dataset. However, the low annual trade count establishes that the strategy is far removed from high-frequency turnover or micro-scalping. Instead, the algorithm functions as a patient, highly filtered entry engine that operates on intraday data bars but remains inactive for substantial durations between trades. Investors and quantitative analysts should note that this sparse execution rhythm requires extended patience, as the system may remain completely flat during prolonged market regimes without generating a single transaction signal.
Quality of historical results
The strategy demonstrates high payoff efficiency and statistical consistency across its 72 completed trades. The historical win rate stands at 84.72 percent, supported by 61 winning trades against only 11 losing trades. The average trade performance across all closed positions is 9.92 percent, while the median trade performance is 8.34 percent. The proximity between average and median expectations indicates that overall performance is not skewed by a few isolated windfalls, but rather rests on a consistent baseline of positive trade outcomes. The single best trade achieved a gain of 63.29 percent, whereas the top three winning trades collectively account for 19.19 percent of gross profit. This low concentration ratio confirms that gross gains are broadly distributed across the 61 winning positions rather than disproportionately dependent on top-tier outliers. With a profit factor of 4.44, total gross profits exceeded total gross losses by more than fourfold, reflecting a highly advantageous relationship between hit rate and loss containment.
Risk, drawdown and losing behavior
Risk metrics across the 6.93-year evaluation period show tightly controlled historic equity contraction. The maximum observed drawdown across the full strategy history was 18.26 percent. Notably, this drawdown figure matches the exact percentage of the strategy's single worst trade, which was negative 18.26 percent. This alignment suggests that the primary equity pullbacks experienced by the strategy stemmed directly from individual trade stop events or adverse exits rather than compounding series of consecutive losses. The strategy's losing behavior is further characterized by extreme sequence brevity, with the longest consecutive losing streak reaching only 2 trades. Conversely, the longest winning streak reached 17 consecutive profitable trades. The combination of an 84.72 percent win rate and a maximum loss streak of two trades provided substantial equity curve smoothing, keeping drawdowns contained relative to the strategy's total compounding growth.
Behavior through time and yearly stability
Over the full 6.93-year historical timeline, the strategy accumulated its 46,936.93 percent net return through highly concentrated operational bursts interspersed with long periods of flat positioning. While specific annual breakdown statistics are unrecorded in the granular summary, the macroeconomic timeline spanning late 2019 through mid-2026 encompasses diverse market regimes for Dell Technologies Inc. The strategy's ability to navigate these historical phases with only 11 total losing trades points to strict structural criteria that avoid entering positions during uncertain or adverse volatility environments. However, because the total trade count is limited to 72 events over 6.93 years, statistical confidence rests on trade quality rather than sample volume. The historical stability of the equity curve relies on the persistence of high-probability setups rather than continuous market participation.
Recent period since 2024-06-01 versus full history
An examination of the strategy's performance during the recent observation window beginning June 1, 2024 reveals zero completed trades. Consequently, no closed percentage return is recorded for this recent period. This absence of recent trade executions creates an important analytical distinction between full-history statistical strength and recent sample verification. While the full 6.93-year backtest demonstrates exceptional historical metrics, the lack of trades since mid-2024 means there is no recent live-simulated evidence to evaluate whether market structure shifts have influenced signal generation. Analysts must interpret this extended flat period as a reflection of the system's stringent entry logic, which historical data show can result in long periods of zero participation when specific parameters are not satisfied.
Strengths and limitations
The primary strength of this quantitative strategy lies in its outstanding statistical efficiency, evidenced by an 84.72 percent win rate, a 4.44 profit factor, and a 17-trade winning streak. Profit distribution is exceptionally balanced, with the top three winning trades contributing under 20 percent of gross gains, reducing vulnerability to single-event bias. Drawdown severity is capped at 18.26 percent, aligning with the maximum single trade loss. Conversely, the main limitation of the strategy is its low sample size and execution frequency. With only 72 completed trades in nearly seven years and zero trades generated since June 1, 2024, the sample provides limited statistical density per year. Traders evaluating this model face significant duration risk and timing friction, as long periods of inactivity must be endured without assurance of frequent entry signals.
DevioLab analytical conclusion
The DELLB strategy on Dell Technologies Inc. represents a high-precision, low-frequency quantitative framework that prioritizes trade selectivity over transaction volume. Achieving a DevioLab score of 80.30 and holding the top rank for the asset, the strategy delivers a rare combination of high hit rate and robust profit factor without relying on concentrated outlier wins. While its historical return of 46,936.93 percent highlights the mathematical compounding potential of selective high-win-rate systems, practical application is constrained by low trade frequency and recent trade scarcity. The system is best characterized as an institutional-style selective filter that trades infrequently but maintains a strong historical payoff profile when active.
Data scope and methodology
The figures presented in this report are derived entirely from backtested historical trade simulations for Dell Technologies Inc. (DELL) on a 15-minute timeframe covering the period from September 16, 2019 to August 22, 2026. Trade statistics reflect closed positions calculated on a percentage gain or loss basis. The results do not account for real-world execution friction, including bid-ask spreads, order book slippage, exchange fees, borrow fees, or dividend adjustments, nor do they represent live account performance. Historical performance is no guarantee of future results, and all statistical interpretations are provided strictly for research and analytical purposes.