A Cycle-Aware, Agentic Market Framework
The Wall Street Algo is a systematic investment framework that combines computer-predicted support and resistance levels, rule-based buy and sell signals, and long-term market cycles to guide probabilistic trading decisions.
The Wall Street Algo whitepaper is available here: https://thewallstreetalgo.com/the-wall-street-algo-whitepaper/
Dynamic support and resistance levels defining probabilistic boundaries.
Rule-based buy and sell signals triggered near key price levels.
11-year, weekly, and annual market cycles that constrain risk.
News, earnings, macro events, and alternative data affecting volatility.
The Wall Street Algo is designed to be executed by both human traders and autonomous software agents.
Platforms like Algoz.ai implement the Wall Street Algo and deliver signals across these interfaces.
The Wall Street Algo is a decision framework, not a prediction engine. It does not claim certainty or guarantee outcomes. Instead, it organizes multiple sources of market information into a structured, probabilistic process for making trading decisions.
The framework is designed to be executed by human traders or autonomous agents and is implementation-agnostic. The complete technical definition is provided in the official whitepaper.