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Instrumento bursátil · ejecución mediante BinanceIREN · IREN Limited: Quantitative Analysis of the 15-Minute Algorithmic Strategy
An in-depth evaluation of the rank 1 algorithmic model for IREN Limited on the 15-minute timeframe. The strategy achieves an 87.88% win rate and a 7.50 profit factor across 33 historical trades, recording an overall return of 1785871.11%.
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Strategy profile
This analysis covers an independent algorithmic model developed for IREN Limited (IREN) on the 15-minute timeframe. Among all evaluated quantitative strategies for this asset, this system holds the top rank with a DevioLab Score of 79.62. The historical dataset spans 4.68 years from December 13, 2021, to August 19, 2026. Over this timeframe, the model generated a cumulative backtested return of 1785871.11%, representing an annualized theoretical return of 8899.35%. The system is built around strict signal filtering designed for maximum entry precision and capital protection.
Trading rhythm and position duration
The strategy is characterized by extreme trade selectivity. Across the entire 4.68-year evaluation window, only 33 completed trades were recorded, translating to an average frequency of 7.04 trades per year. Although the algorithm scans 15-minute price action, it is not a scalping strategy. Specific average and median holding hour metrics are untracked in this dataset, but the low trade frequency confirms a position-holding or swing-oriented approach where weeks or months can elapse between trades while waiting for ideal market setups.
Quality of historical results
The strategy demonstrates exceptional historical performance quality. Out of 33 closed trades, 29 ended in profit, yielding an 87.88% win rate. The average return per trade reached +45.48%, with a median trade gain of +28.56%. The overall Profit Factor stands at an outstanding 7.50. The single best trade delivered a gain of +220.28%. Notable profit concentration exists, as the top 3 winning trades account for 40.04% of total gross profit, showing that a significant portion of total returns stems from capturing major macro moves.
Risk, drawdown and losing behavior
Risk controls throughout the historical sample were effective. The model experienced only 4 losing trades in total, with a maximum consecutive losing streak of just 1 trade. Conversely, the longest winning streak reached 10 consecutive profitable trades. The maximum equity drawdown was 34.85%, which exactly matched the single worst individual losing trade (-34.85%). This indicates that drawdown risk was concentrated in a single trade exit rather than prolonged equity decay.
Behavior through time and yearly stability
Over the 4.68-year history, signal generation remained sparse. An average of 7.04 trades per year confirms that the strategy avoids forced market participation during low-conviction periods. While detailed breakdown logs per individual calendar year are not included in the dataset, the consistent profit factor across the full history demonstrates robust long-term signal quality.
Strengths and limitations
Core strengths include an 87.88% win rate, a 7.50 profit factor, minimal losing trades (4 total), and a strong consecutive winning streak of 10 trades. Limitations center on the small sample size of 33 trades over 4.68 years, zero trade activity since mid-2024, and a 40.04% gross profit concentration in the top 3 winning trades.
DevioLab analytical conclusion
Earning a DevioLab Score of 79.62 and rank 1 for IREN Limited, this trading system represents a high-precision, low-frequency framework. It is suitable for patient quantitative tracking rather than active daily trading. Due to the small overall trade count, ongoing monitoring is recommended.
Data scope and methodology
All figures presented in this research are derived from simulated historical backtests on 15-minute price data for IREN Limited between December 13, 2021, and August 19, 2026. These statistics reflect closed trade simulations, do not guarantee future performance, and do not constitute direct investment advice.