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 Soon…Research into AI agents as collaborative essences — entities that perceive, decide, and act within motion fields. Prototype agent systems with λ-signal synchronization.
View Prototype ↗
A foundational research track exploring how learning emerges from limits rather than accumulation.
Investigates thresholds, fragility, stopping conditions, and adaptive learning across humans, AGI systems, and
cosmological structures.
Frames intelligence as a function of when to stop, not how much to process — bridging Motion Theory, ULM, AGI
safety, and multi-sensor universe dynamics.
Active Research · Internal Track
Coming Soon…A framework describing how complex systems learn through directional flow reorganization.
Coming Soon…This document serves as an executive-level summary of the Reflective Flow Law. A full conceptual research document and supporting observational studies are maintained within Nowonacra Research.
Coming Soon…