The Wall Street Algo is a cycle-aware decision framework designed to guide probabilistic trading decisions across multiple time horizons. It integrates market structure, technical signals, behavioral cycles, and contextual events into a unified architecture.
The framework is execution-neutral and can be operated by human traders or autonomous software agents through dashboards, APIs, and automation platforms.
The complete technical definition of the framework is provided in the Wall Street Algo whitepaper.