EdgeQuant, running.
Screenshots from EdgeQuant, an experimental personal project I built to learn agentic AI deeply and hands on. It is not a commercial product or business.
The opportunities the system flags as most relevant, across stocks and crypto.
Macro conditions, regime, and where capital is moving.
How a single setup is read before any recommendation is made.
Directional forecasts with confidence, horizon, and reasoning.
One of the specialized agents producing a stock prediction.
A short horizon agent working within risk gates.
A memo generated for a high conviction idea.
How several agents weigh in before a recommendation.
Exposure, concentration, and how a new idea fits.
A ranked view of what the system is most confident about.
Every recommendation and outcome, recorded for review.