David Edward Scherer Formula — Version 3.3 (DES V3.3): Adaptive Learning Engine for Self-Calibrating Structural Breakout Investing

DES V3.3 introduces an adaptive learning architecture that evolves beyond static investment frameworks by integrating outcome tracking, predictive performance measurement, and dynamic weight recalibration. The model transitions from a fixed scoring system into a self-improving analytical engine capable of adjusting to changing market conditions. The framework is built on a multi-layer structure incorporating acceleration, institutional confirmation, structural narrative, and technical timing signals. A continuous feedback loop enables performance-based learning, while drift detection mechanisms identify and correct weakening predictive factors over time. DES V3.3 represents a shift toward quasi-quantitative investing by embedding memory, adaptability, and signal reliability into the decision-making process. The system is designed to improve predictive accuracy through iterative refinement and real-world performance validation.