Cargando el estado del mercado bursátil de EE. UU.…
CÓMO EMPEZAR
Completa toda la configuración del sistema en solo unos minutos.
Abrir guía de inicio rápido
Catálogo público · DEVIOLAB

CATÁLOGO DE ESTRATEGIAS

Explora estrategias algorítmicas, compara su rendimiento y abre el historial completo de cada modelo.
¿No sabes por dónde empezar?
1. Catálogo 2. Elige Core 1 3. Añadir a la cesta 4. Claves API 5. Activar el bot de trading
Nuestra recomendación: para tu primera configuración, utiliza Core 1: es la selección principal y más protegida de DevioLab. Core 2 está pensado para usuarios que aceptan conscientemente un mayor riesgo y drawdowns más profundos.
i
¿Qué son Core 1 y Core 2?
DevioLab analiza estrategias de criptomonedas y del mercado bursátil y crea selecciones listas para usar, para que no tengas que revisar cientos de opciones manualmente.
★ Core 1
Una selección de estrategias de cripto y acciones elegida por DevioLab como opción principal, más equilibrada y protegida para empezar, con énfasis en el control del riesgo y del drawdown.
◆ Core 2
Una selección separada y más agresiva de DevioLab para usuarios que aceptan conscientemente mayor riesgo y drawdowns más profundos a cambio de una rentabilidad potencialmente mayor.
AAOI · Applied Optoelectronics, Inc. (5) AAPL · Apple Inc. (7) ALAB · Astera Labs, Inc. (6) AMAT · Applied Materials, Inc. (6) AMD · Advanced Micro Devices, Inc. (7) AMZN · Amazon.com, Inc. (6) ARM · Arm Holdings plc (5) ASML · ASML Holding N.V. (7) ASTS · AST SpaceMobile, Inc. (6) AVGO · Broadcom Inc. (6) BABA · Alibaba Group Holding Limited (6) BE · Bloom Energy Corporation (5) BMNR · BitMine Immersion Technologies, Inc. (5) COHR · Coherent Corp. (5) CRCL · Circle Internet Group, Inc. (5) CRDO · Credo Technology Group Holding Ltd (8) DELL · Dell Technologies Inc. (6) EWY · iShares MSCI South Korea ETF (6) FLNC · Fluence Energy, Inc. (7) GS · The Goldman Sachs Group, Inc. (6) HOOD · Robinhood Markets, Inc. (7) IBM · International Business Machines Corporation (6) INTC · Intel Corporation (6) IREN · IREN Limited (7) LITE · Lumentum Holdings Inc. (6) META · Meta Platforms, Inc. (7) MRVL · Marvell Technology, Inc. (6) MSFT · Microsoft Corporation (7) MSTR · Strategy Inc (8) MU · Micron Technology, Inc. (7) NFLX · Netflix, Inc. (7) NOK · Nokia Oyj (7) NVDA · NVIDIA Corporation (7) PLTR · Palantir Technologies Inc. (8) PYPL · PayPal Holdings, Inc. (5) QQQ · Invesco QQQ Trust (6) RKLB · Rocket Lab Corporation (4) SKHY · SK hynix Inc. (3) SMCI · Super Micro Computer, Inc. (5) SMH · VanEck Semiconductor ETF (4) SNDK · Sandisk Corporation (4) SOXS · Direxion Daily Semiconductor Bear 3X Shares (3) SPCX · Space Exploration Technologies Corp. (3) TSLA · Tesla, Inc. (6) TSM · Taiwan Semiconductor Manufacturing Company Limited (4) USAR · USA Rare Earth, Inc. (4)
Resumen de la estrategia seleccionada

INTCBUSDT

Instrumento bursátil · ejecución mediante Binance
INTCB 0 +10421.24% 1TRAD-UKB2
Recomendado por DevioLab · Core 1 iRecomendación principal de DevioLab: un perfil más protegido, suave y estable centrado en el control del riesgo y del drawdown.
Recomendado por DevioLab · Core 2 iRecomendación más agresiva de DevioLab: acepta mayor riesgo y drawdowns más profundos a cambio de rendimientos potencialmente superiores.
155Operaciones
69.7%Tasa de acierto
+3.43%Operación media
+32.06%Mejor operación
-13.56%Peor operación
+2,281.5%Anualizado
Perfil analítico de la estrategia · 0e5f19090fb68c25

Algorithmic 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.

Leer análisis completo

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.

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.

Análisis completo de la estrategia