AMATBUSDT
Instrument boursier · exécution via BinanceAlgorithmic Strategy Analysis AMAT · Applied Materials, Inc.
Quantitative breakdown of the AMATB 0 +20992.60% 1TRAD-FGJ9 trading model for Applied Materials, Inc., ranked 1st for the ticker with a DevioLab Score of 80.23.
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Strategy profile
This quantitative trading model was engineered for trading Applied Materials, Inc. (ticker AMAT) using a 15-minute chart interval. Within the evaluation framework of DevioLab, it holds the 1st position among all tested strategy configurations for this specific asset, achieving a top score of 80.23 and earning the core2_independent_best classification. The algorithm is built to identify high-probability momentum setups while implementing strict quality control filters. Across the historical evaluation span, the strategy delivered a compelling balance between statistical precision and drawdown control, outperforming alternative approaches for this asset.
Trading rhythm and position duration
Although the algorithm executes on a 15-minute timeframe, its operational rhythm is highly selective rather than high-frequency or scalping-oriented. Over a total historical observation period of approximately 6.92 years, the strategy completed exactly 93 trades. This translates to an average trading frequency of 13.43 trades per year, reflecting a patient approach that ignores noise in favor of high-conviction market structures. While average and median holding hours are not explicitly recorded in the raw dataset, the sparse trade frequency strongly indicates a swing or positional holding period rather than rapid intra-day turnover.
Quality of historical results
The strategy recorded outstanding historical backtest performance. Across the full 6.92-year sample, cumulative return reached 20,992.60%, corresponding to an annualized yield of 693.19%. Out of 93 completed trades, 72 were profitable and 21 were loss-making, yielding an impressive win rate of 77.42%. The system achieved a profit factor of 1.88, demonstrating that total gains consistently outweighed total gross losses. The average gain per trade was 6.56%, while the median trade return stood at 4.85%. The single best trade delivered a 59.91% gain. Furthermore, the top three winning trades accounted for only 18.33% of total gross profit, confirming that the overall return was driven by consistent edge rather than a few lucky outliers.
Risk, drawdown and losing behavior
Risk statistics reveal a disciplined drawdown profile given the massive cumulative gain. The maximum historical equity drawdown was capped at 18.52%, representing an unusually controlled risk profile for a strategy exceeding 20,000% cumulative gain. The worst single trade generated a loss of -12.95%, demonstrating effective downside limitation during adverse market movements. Streak analysis further underscores system stability: the longest winning streak reached 18 consecutive positive trades, whereas the longest losing streak was limited to just 4 consecutive losses. This asymmetry helps preserve capital and minimize drawdown duration.
Behavior through time and yearly stability
Evaluating temporal stability relies on the aggregated metrics collected across the 6.92-year dataset. While individual yearly breakdowns are not available in this dataset, the high overall win rate of 77.42% and the robust 18-trade winning streak suggest consistent adaptability to the price dynamics of Applied Materials, Inc. over time. However, traders analyzing this historical footprint should acknowledge that without year-by-year distribution tables, performance consistency across distinct macroeconomic regimes cannot be broken down annually.
Strengths and limitations
The primary strengths of this model include a high historical win rate of 77.42%, a low maximum drawdown of 18.52%, a solid profit factor of 1.88, and a healthy profit distribution where the top three trades represent only 18.33% of gross profit. Limitations stem from the relatively small sample size of 93 trades over 6.92 years, the absence of closed positions since June 2024, and missing holding period metrics in the dataset. The low trade frequency requires significant patience during extended inactive periods.
DevioLab analytical conclusion
This algorithmic strategy for Applied Materials, Inc. represents a top-tier quantitative model, holding 1st place for the ticker with a DevioLab Score of 80.23. Its combination of strong risk control with an 18.52% peak drawdown and exceptional trade accuracy makes it a standout benchmark in our stock strategy library. However, the operational pause observed since mid-2024 highlights its highly conservative filtering logic. This document serves purely research and educational purposes and does not constitute financial advice.
Data scope and methodology
This research is based on historical simulated closed trades spanning from September 16, 2019 to August 18, 2026, covering a total duration of 6.92 years on a 15-minute chart interval. All reported returns, drawdowns, and trade metrics reflect simulated past performance on historical data, do not represent actual Binance account trading returns, and offer no guarantee of future results.