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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

IMXUSDT

Marché crypto · Binance
IMX 215000 +11407.95% 1TRAD-XWW0
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.
62Transactions
82.3%Taux de réussite
+9.27%Transaction moyenne
+58.94%Meilleure transaction
-36.59%Pire transaction
+454.2%Annualisé
Profil analytique de la stratégie · b6359073f4fd54d8

Algorithmic Strategy Analysis for IMX · IMX on the 15-Minute Timeframe

An analytical evaluation of the quantitative strategy IMX 215000 +11407.95% 1TRAD-XWW0 for the IMX asset. Based on 62 completed historical trades, an 82.26% win rate, a 11407.95% total gain, and sample-specific boundaries.

Lire l’analyse complète

Strategy profile

The quantitative strategy named IMX 215000 +11407.95% 1TRAD-XWW0 is designed for spot trading on the crypto asset IMX using a 15-minute chart timeframe. Within the DevioLab internal ranking for this ticker, the strategy holds the rank 1 position with a DevioLab Score of 69.33. Historical backtesting shows a cumulative return of 11407.95% and an annualized equivalent figure of 415.98%. The strategy demonstrates a selective trading pattern tailored to specific market structure conditions.

Trading rhythm and position duration

The dataset contains 62 completed historical trades. Specific metrics regarding average or median trade holding times, as well as trade frequencies per month or year, are not available in this statistics set. Given the sample size of 62 total closed positions on a 15m time interval, the strategy cannot be categorized as scalping. Instead, it operates with a measured signal generation rhythm.

Quality of historical results

The execution performance reveals notable precision: out of 62 total completed trades, 51 closed in profit and 11 ended in loss, yielding a win rate of 82.26%. The average return per trade stands at 9.27%, while the median trade yield is 9.13%. The top winning trade generated a gain of 58.94%. Overall profit factor is 1.67. Furthermore, the top three winning trades account for 19.90% of total gross profit, indicating that overall gains are distributed across multiple trades rather than heavily skewed by a single outlier.

Risk, drawdown and losing behavior

The maximum historical drawdown recorded for this strategy is 36.59%. Notably, the worst single trade loss in the dataset is also -36.59%, matching the peak drawdown magnitude. The system achieved a maximum winning streak of 14 consecutive trades, whereas its longest losing streak was limited to 2 trades. While the brief losing streaks highlight rapid recovery potential, the individual maximum loss figure warrants disciplined risk control.

Behavior through time and yearly stability

Yearly breakdown statistics are not present in the historical source file, which tracks data through an endpoint of 2026-08-10. Because annual and monthly distributions are omitted, evaluating performance consistency across varying macro market cycles remains constrained to the aggregated 62-trade sample result.

Strengths and limitations

Key strengths include a strong 82.26% win rate, a healthy average trade profit of 9.27%, a moderate profit factor of 1.67, and a low consecutive loss count of 2 trades. Main limitations stem from the modest sample size of 62 trades, a significant single-trade worst loss of -36.59%, the absence of recent trade executions since mid-2024, and unavailable holding duration metrics.

DevioLab analytical conclusion

With a DevioLab Score of 69.33, this strategy takes the top rank for IMX in our current comparative database. Its high historical win rate of 82.26% and total return of 11407.95% reflect strong statistical efficiency during active periods. However, prospective quantitative researchers must account for the limited trade count and recent dormancy when evaluating its historical profile.

Data scope and methodology

All figures reflect historical simulated closed trades for IMX on a 15-minute timeframe within the crypto market context. These percentages are derived from backtested model performance, do not represent actual Binance account returns, and offer no guarantee of future trading performance.

Analyse complète de la stratégie