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Öffentlicher Katalog · DEVIOLAB

STRATEGIEKATALOG

Algorithmische Strategien erkunden, Performance vergleichen und die vollständige Historie jedes Modells öffnen.
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Unsere Empfehlung: verwenden Sie für die erste Einrichtung Core 1 — die primäre und stärker geschützte Auswahl von DevioLab. Core 2 ist für Nutzer gedacht, die bewusst ein höheres Risiko und tiefere Drawdowns akzeptieren.
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DevioLab analysiert Krypto- und Aktienmarktstrategien und erstellt fertige Auswahlen, damit Sie nicht Hunderte Varianten manuell prüfen müssen.
★ Core 1
Eine von DevioLab ausgewählte Sammlung von Krypto- und Aktienstrategien als primäre, ausgewogenere und stärker geschützte Startoption mit Fokus auf Risiko- und Drawdown-Kontrolle.
◆ Core 2
Eine separate, aggressivere DevioLab-Auswahl für Nutzer, die bewusst höheres Risiko und tiefere Drawdowns für potenziell höhere Renditen akzeptieren.
Übersicht der ausgewählten Strategie

LSKUSDT

Kryptomarkt · Binance
LSK 215000 +8482365.21% 1TRAD-EWF4
Von DevioLab empfohlen · Core 1 iPrimäre DevioLab-Empfehlung: ein stärker geschütztes, ruhigeres und stabileres Profil mit Fokus auf Risiko- und Drawdown-Kontrolle.
Von DevioLab empfohlen · Core 2 iAggressivere DevioLab-Empfehlung: akzeptiert höheres Risiko und tiefere Drawdowns im Austausch für potenziell höhere Renditen.
146Trades
79.5%Trefferquote
+7.75%Ø Trade
+101.55%Bester Trade
-25.82%Schlechtester Trade
+558.5%Annualisiert
Analytisches Strategieprofil · 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.

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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.

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