LifeNode Q-Core: Market Volatility Resilience & Capital Preservation Report (BTC-USD 2024-2026)

Ontological framework designed on "LifeNode Theory" basis to stabilize structures within chaotic environments. The financial market was chosen as the ultimate "stress-test" for the Q-Core algorithm because it represents pure information noise.

 This report presents the empirical results of the LifeNode Q-Core algorithm, acting as an ontological filter for chaotic information environments. Unlike traditional trading bots that parse price data, Q-Core focuses on the Curvature of market information to stabilize trajectories.

Key findings from the 24-month audit (Jan 2024 – Jan 2026):

Performance: +25.52% net return in a high-volatility environment (BTC-USD).

Risk Management: Extremely low volatility and capital preservation during major market drawdowns.

Methodology: Verified in a Python 3.12 (Google Colab) environment on January 19, 2026.

 This document serves as a 'Proof of Concept' for the broader "Tonic Technologies" and the "LifeNode Theory" framework.