INTC · Intel Corporation
Stock Universe · global stock marketAlgorithmic Strategy Analysis for INTC · Intel Corporation on 15-Minute Timeframe
A detailed quantitative evaluation of historical performance, risk parameters, and trading activity for Intel Corporation from 2019 to 2026.
Analysis as of 21.08.2026. Strategy data is updated separately.Read full analysis
Strategy profile
This quantitative strategy is engineered for trading Intel Corporation (INTC) stock on a 15-minute timeframe. Based on our internal scoring, the algorithm achieved a DevioLab Score of 80.13, ranking first among evaluated strategies for this specific ticker. Over an analyzed historical span of approximately 6.92 years, starting in September 2019 and ending in August 2026, the model generated a cumulative backtested return of 10421.24 percent. The strategy is classified as a core independent model that exhibits selective entry criteria.
Trading rhythm and position duration
Across the entire 6.92-year evaluation period, the strategy executed 154 completed trades, translating to an average trading frequency of roughly 22.24 trades per year. This highlights a moderate and patient trading rhythm, indicating that the algorithm selectively enters the market only when specific high-probability setups occur. While exact average and median position holding times in hours are not recorded in this sample dataset, the low annual trade count confirms that this is a swing-oriented intraday-to-multi-day approach rather than a high-frequency system.
Quality of historical results
The quality of historical trades is characterized by a strong win rate of 70.13 percent, with 108 winning trades out of 154 total closed positions. The average trade performance stands at 3.53 percent, while the median trade return is 2.40 percent, demonstrating a healthy baseline performance across individual operations. The best single trade registered a gain of 32.06 percent. Crucially, the top three winning trades account for only 13.59 percent of total gross profit, confirming that the performance was driven by consistent distribution rather than a few extreme outliers.
Risk, drawdown and losing behavior
The strategy maintains a controlled risk footprint relative to its overall historical returns. The maximum peak-to-trough drawdown was contained at 17.69 percent. The overall profit factor reached 1.25, while the worst individual trade suffered a loss of minus 13.56 percent. The model achieved a maximum winning streak of 13 consecutive trades, compared to a maximum losing streak of just 4 consecutive trades. This asymmetric streak dynamic underlines the system's ability to limit consecutive losses quickly.
Behavior through time and yearly stability
Spanning nearly seven full years of market history, the historical dataset encompasses diverse stock market regimes, including structural bull runs, market corrections, and periods of elevated volatility in technology equities. Generating roughly 22.24 trades per year on average, the strategy delivered steady operational engagement across most of the backtested timeline. The consistently high win rate helped build a resilient equity growth trajectory over the tested multi-year horizon.
Recent period since 2024-06-01 versus full history
In the recent period starting from June 1, 2024, through the end of the dataset, the strategy executed 0 trades. Consequently, all 154 closed trades and the cumulative 10421.24 percent return were generated prior to June 2024. This extended inactivity indicates that market conditions for Intel Corporation during this recent phase did not trigger the strategy's strict signal criteria.
Strengths and limitations
The primary strengths of this model include its high win rate of 70.13 percent, a well-managed maximum drawdown of 17.69 percent, and a diversified profit source where the top three trades represent only 13.59 percent of gross gains. Key limitations involve the sample size of 154 trades over nearly seven years, which means trading opportunities are infrequent, as well as a modest profit factor of 1.25 and recent zero-trade activity since mid-2024.
DevioLab analytical conclusion
This strategy achieves the rank number 1 position for INTC due to its effective risk mitigation and strong cumulative historical return profile. It demonstrates a disciplined approach on the 15-minute chart by keeping loss streaks short and drawdown manageable. Potential deployment should factor in the recent period of zero trades to determine whether current volatility patterns align with the algorithm's trigger thresholds.
Data scope and methodology
All figures presented in this report are derived from historical simulated backtest trades of Intel Corporation (INTC) stock between September 16, 2019, and August 18, 2026, using 15-minute price bars. The percentage returns reflect closed hypothetical positions without accounting for slippage or individual brokerage commissions. Past backtested performance is strictly historical and does not guarantee future results.