Apex AI Testnet Phase I: System Validation & Next-Stage Roadmap Built for Long-Term Performance
At Apex Capital, our objective has never been to chase short-term market outcomes. From day one, Apex AI has been designed as a long-term decision-making system, one that emphasizes consistency, discipline, and continuous adaptability in real market environments.
To validate this philosophy, we launched Apex AI Testnet Phase I, with a single core question in mind:
In real market conditions, can an AI-driven decision system demonstrate measurable, repeatable, and continuous evolutionary capability?
Testnet Phase I Results: Initial Validation
During the first testnet phase, Apex AI operated under controlled conditions to evaluate system stability, execution discipline, and signal consistency. The key metric, decision win rate, increased steadily from 89.7% to 92.35% over the course of...
