Ongoing explorations bridging the principles of Motion Theory with data, finance, cognition, and artificial consciousness.
A real-time system detecting early-phase transitions in markets using the λF metric. Integrates multi-asset signals (crypto, gold, equities) to map systemic shifts before they manifest.
View Project ↗Personal λF dashboard mapping inner motion and psychological rhythms. Observes patterns of resilience, emotion, and activity through the same phase-space logic used in markets.
View Project ↗Cognitive field mapping inspired by the Motion Theory — explores the resonance of consciousness and the geometry of perception as an essence-based network.
Coming SoonResearch into AI agents as collaborative essences — entities that perceive, decide, and act within motion fields. Prototype agent systems with λ-signal synchronization.
View Prototype ↗