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Catalogue public · DEVIOLAB

CATALOGUE DE STRATÉGIES

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DevioLab analyse les stratégies crypto et boursières et crée des sélections prêtes à l’emploi afin que vous n’ayez pas à parcourir manuellement des centaines d’options.
★ Core 1
Une sélection DevioLab de stratégies crypto et actions recommandée comme choix principal, plus équilibré et protégé pour commencer, avec un accent sur le contrôle du risque et du drawdown.
◆ Core 2
Une sélection DevioLab distincte et plus agressive pour les utilisateurs qui acceptent consciemment un risque plus élevé et des drawdowns plus profonds en échange d’un rendement potentiellement supérieur.
Aperçu de la stratégie sélectionnée

LSKUSDT

Marché crypto · Binance
LSK 215000 +8482365.21% 1TRAD-EWF4
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.
146Transactions
79.5%Taux de réussite
+7.75%Transaction moyenne
+101.55%Meilleure transaction
-25.82%Pire transaction
+558.5%Annualisé
Profil analytique de la stratégie · 989bc62679d0ff07

Quantitative Strategy Analysis for LSK · LSK on 15-Minute Timeframe

A comprehensive quantitative evaluation of the top-ranked LSK algorithmic trading strategy. The system holds rank 1 for the ticker with a DevioLab Score of 61.02, featuring a 79.59% win rate and a 5.0 profit factor across 147 historical trades.

Lire l’analyse complète

Strategy profile

This algorithmic trading strategy is engineered for the LSK spot cryptocurrency market operating on a 15-minute chart interval. Within the DevioLab quantitative evaluation framework for LSK, the strategy holds rank 1 with an overall DevioLab Score of 61.02. Over the complete historical dataset ending on 2026-08-10, the strategy generated a cumulative return of 1,357,818.09% with an annualized benchmark rate of 563.84%. The dataset comprises 147 executed trades, providing a moderate sample size that requires objective, statistical interpretation.

Trading rhythm and position duration

Executing on a 15-minute timeframe, the strategy relies on selective signal generation. While exact average holding hours and days between exits are unrecorded in this dataset, the total volume of 147 closed trades indicates that the algorithm waits for specific market setups rather than trading continuously at high frequency.

Quality of historical results

The system demonstrated high signal accuracy, securing 117 winning trades out of 147 total executions, which translates to a 79.59% win rate. The resulting profit factor reached 5.0, reflecting strong gross profit relative to gross loss. The average return per trade stood at 7.80% with a median of 7%. The single best trade delivered a 101.55% gain. Profit distribution is well balanced across trades, as the top 3 winning trades generated only 13.71% of total gross profit. The longest consecutive winning streak reached 22 trades.

Risk, drawdown and losing behavior

Across 30 losing trades, the worst single trade loss was -25.82%. The maximum historical equity drawdown reached 47.07%, placing the strategy in an elevated drawdown risk profile. Despite the depth of equity retracements, losing momentum was contained, with the longest losing streak capped at just 3 consecutive trades.

Behavior through time and yearly stability

Year-by-year performance metrics are unrecorded in this dataset. Evaluation is therefore based on the complete multi-year sample of 147 historical trades leading up to August 2026.

Strengths and limitations

Key strengths include a high historical win rate of 79.59%, an impressive profit factor of 5.0, low concentration risk from top trades (13.71%), and a short maximum losing streak of 3 trades. Key limitations encompass a significant maximum historical drawdown of 47.07%, zero trade activity in the recent period since mid-2024, and a moderate sample size of 147 trades.

DevioLab analytical conclusion

Ranking first for the LSK ticker with a DevioLab Score of 61.02, this strategy demonstrates strong historical statistical edge characterized by high win frequency and robust risk-reward metrics. However, potential users must account for the elevated historical drawdown profile of 47.07% and monitor whether market regimes re-engage the entry parameters.

Data scope and methodology

All figures reflect simulated historical closed trades for LSK on the 15-minute timeframe through 2026-08-10. Historical backtest performance does not guarantee future results or represent exact live execution account equity.

Analyse complète de la stratégie