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Aperçu de la stratégie sélectionnée

SKHYBUSDT

Instrument boursier · exécution via Binance
SKHYB 0 +17.37% 1TRAD-QLA1
Recommandé par DevioLab · Core 1 iRecommandation principale de DevioLab : un profil plus protégé, plus régulier et plus stable, centré sur le contrôle du risque et du drawdown.
Recommandé par DevioLab · Core 2 iRecommandation plus agressive de DevioLab : accepte un risque plus élevé et des drawdowns plus profonds en échange de rendements potentiellement supérieurs.
3Transactions
100.0%Taux de réussite
+6.50%Transaction moyenne
+13.22%Meilleure transaction
+2.20%Pire transaction
+19.8%Annualisé
Profil analytique de la stratégie · b13022c98c34d6fb

Algorithmic Strategy Analysis for SKHY · SK hynix Inc. on 15-Minute Timeframe

An analytical study of a quantitative trading strategy for SK hynix Inc. (SKHY) stock, achieving 17.37% overall profit across two winning trades with zero maximum drawdown over a short test window.

Lire l’analyse complète

Strategy profile

This algorithmic quantitative model is designed for trading SK hynix Inc. (SKHY) stock in the equity market using a 15-minute price timeframe. The system aims to capture short-term price momentum and intra-day directional moves. Ranked first for this ticker under the minimum fallback criteria, the strategy exhibits clean statistical traits on a limited historical dataset. Over its recorded observation span, the strategy delivered a cumulative historical return of 17.37%. The model relies on precise timing of trade entries and exits. Given the concise duration of the underlying data slice, these figures represent early technical feedback rather than a long-term statistical baseline.

Trading rhythm and position duration

Across the dataset covering approximately 0.09 years (from July 14, 2026 to August 15, 2026), the strategy completed exactly 2 closed trades. This translates to an annualized trading frequency projection of roughly 22.8 trades per year, pointing toward a moderate trade frequency for a 15-minute timeframe. Exact metric values for average holding hours and days between exits are unrecorded due to the compact sample size. The algorithm avoids over-trading, thereby mitigating potential commission friction, though additional market exposure is needed to confirm its long-term operational rhythm.

Quality of historical results

The quality of historical trades within this dataset displays a 100% win rate, with both of the 2 executed trades closing in profit. The average trade gain stands at 8.65%, matching the median trade gain of 8.65%. The best individual trade generated a 13.22% return, while the smallest gain was 4.09%. The profit factor for this performance sequence is registered at 6.25. The top winning trades account for 100% of gross historical profits. The overall annualized return calculated over this active period is 17.37%.

Risk, drawdown and losing behavior

Throughout the recorded testing window, the maximum equity drawdown was 0%, as no losing trades occurred. The longest winning streak reached 2 consecutive profitable positions, while losing streaks remained at zero. However, a zero-drawdown profile in a sample of two trades reflects the brevity of the historical window rather than an immunity to market loss. In live trading conditions, unexpected price gaps and shifts in volatility will inevitably produce drawdowns and losing trades over time.

Behavior through time and yearly stability

The provided historical dataset spans a single short segment of 0.09 years in 2026. Consequently, yearly breakdown metrics are not present, preventing an assessment of annual stability across multi-year market regimes. While the strategy recorded positive local results, evaluating its true durability requires testing across varied market environments, including sustained bear trends, choppy ranges, and macroeconomic stress periods.

Strengths and limitations

Key strengths of this setup include a 100% historical win rate, a strong profit factor of 6.25, and an average gain per trade of 8.65%, demonstrating favorable execution timing during the evaluated window. The primary limitation is the small sample size consisting of only 2 completed trades over 0.09 years. Such a constrained dataset lacks statistical confidence for projecting performance across broader market cycles.

DevioLab analytical conclusion

The strategy for SK hynix Inc. (SKHY) ranks first among available configurations for this asset under the minimum fallback selection logic. It shows a promising initial return of 17.37% without experiencing drawdown during the test period. Nonetheless, these findings remain preliminary due to the sample size of 2 trades. Simulated historical results do not guarantee future profitability and should not be treated as financial or investment advice.

Data scope and methodology

This analysis is based on historical backtested trades for SK hynix Inc. (SKHY) stock on a 15-minute timeframe from July 14, 2026 to August 15, 2026 (0.09 years), totaling 2 completed trades. All percentage figures reflect historical simulated closed trades. They do not represent real-time brokerage account returns and do not guarantee future trading results.

Analyse complète de la stratégie