Articles and Report of the work

The document critiques the evaluation of systems (AI, economics, cognition) based on visible performance, showing that functional appearance is often mistaken for actual intelligence, value, or stability. It argues that internal structure—constraints, regulation, and dynamics—precedes function, and that surface metrics lead to fragile overestimations. The CBD (Constraints-Equilibrium-Dynamics) framework is proposed as a unifying principle for judging the consistency, robustne

The Collective Psychodynamic Formula (Extended CBD) provides a universal framework for analyzing human and complex systems by modeling how memory, emotional energy, thresholds, time, and constraints interact to produce stability or systemic shifts. Rather than predicting events, it offers a structured reading of latent tensions and divergence activation that explain why systems persist, reorganize, or abruptly transition. Its strength lies in its cross-disciplinary applicabil

The CBD formula describes collective dynamics not as random phenomena, but as structured processes governed by thresholds, memory, and emotional energy. The key phases : incubation, tipping point, persistence, and dissipation—show that crises arise from invisible accumulations rather than isolated shocks. Human systems collapse or stabilize through memory overload or erosion, not through a lack of information. Individual rationality is limited, but an emergent collective cohe

This document proposes an architecture for stable and aligned AI, inspired by collective psychodynamics, by transposing concepts such as mimetic memory, emotional thresholds, and CBD (Convergence-Tilt-Dissipation) regimes to artificial systems. It critiques current AI architectures for their reliance on exogenous feedback, leading to instability, reward hacking, and out-of-distribution fragility, and suggests cumulative internal constraints for endogenous stability. The unive

The Universal Model of Crowd and Market Dynamics extends Dow Theory by integrating collective psychology, mimetic memory, and supply-demand imbalances within a predictive mathematical framework. It is based on a fundamental formula: P(t) = A ψ(S, R, V, M, D, C) × [O(t) ↔ D(t)], formalizing the interactions between psychological thresholds, emotional volume (V via RSI), and the narrative modulator ψ. The internal variables (V(t), ∥D(t), M, ψ(t)) ensure causality and timing, wi

This work introduces the CBD (Collective Behavior Dynamics) framework, a deterministic, non-linear model for understanding collective behavior in economic, social, and cognitive systems. Rather than assuming equilibrium or fundamental randomness, CBD describes how simple local rules generate emergent regimes of coherence and persistence. The framework integrates creation, destruction, and deterministic variation, unifying insights from Adam Smith, Darwinian evolution, and Sch

The CBD formula models collective dynamics (crowds, markets, AI) using a nonlinear deterministic framework, with variables such as thresholds (S, R), memory (M), and energy (V). Monte Carlo simulations (10,000 iterations) show an asymmetric distribution capturing realistic instabilities without pure randomness. Sensitivity analysis (OAT and Sobol) identifies M and V as key amplifiers, with moderate interactions confirming robustness. Empirical and logarithmic validation revea

The CBD formula is a theoretical framework for modeling collective behavior in crowds, financial markets, and social systems, showing how complexity emerges from nonlinear local interactions without central control. It is based on fundamental variables (S, R, V, D, C, M, T, I) that interact at three levels: infinitesimal (initial conditions), intermediate (nonlinear dynamics with feedback and bifurcations), and macroscopic (observable phenomena such as bubbles or social movem

Reality is not an objective given, but an emergent phenomenon of consciousness, filtered by the ego, cognitive biases, and collective interactions. Truth does not reside in accumulated knowledge or models, but in the observing Self, capable of perceiving and transforming these filters. Ordered structures, including mathematics, emerge as secondary consequences of resonant psychodynamic and collective processes.

Observable reality (markets, crowds, cycles) is not chaotic but structured by universal states (1–9), thresholds of collective memory (Fibonacci), and fractal dynamics. The formula P(t) is its functional expression, linking psychology, perception, and direction to produce the observable phenomenon. Perfect numbers mathematically confirm this coherence: despite complexity, everything converges toward unity, then begins again.

The robot automatically analyzes market trends using a multi–timeframe system. It detects bullish, bearish, and neutral phases and generates signals aligned with overall market dynamics. Its model uses several “virtual contracts” with different profit objectives to smooth performance. It adapts to many asset classes (indices, cryptocurrencies, etc.) and results vary depending on volatility. All performances are based on real historical data, but they never guarantee futur

The LWJS Screener MTF  is a Pine Script v6 indicator that analyzes multi-timeframe market phases (15 min, 1 h, 4 h, D1, W1, M1) for a ticker, using RSI, MACD, ATR, and volume to detect bullish, bearish, or neutral trends. It calculates phases per timeframe via request.security , checks for complete or partial alignments (bullish/bearish), and highlights immediate weekly (MH/MB) activations with visual labels such as ▲, ▼, W▲, W▼. The inputs allow customization of parameters (

The LWJS Screener Pro MTF  is a Pine Script v6 tool offering a multi-timeframe view (4H, D1, W1, M1) of market phases for a user-customized ticker list, prioritizing complete bullish or bearish alignments.   It uses RSI(14) and SMA(50) to detect phases (bullish, bearish, neutral), displays the results in a compact table with automatic sorting, and automatically detects asset types without manual filtering. Intended for educational purposes, it helps in studying trends without

This document expands upon the work on reality as a collective construct by exploring the universe as an indestructible quantum memory (Q_M), where all information is etched through entanglement and holography. It grounds this in human psychodynamics: the Self reads Q_M, filtered by the Ego and its biases (loss aversion), with analogies to crowd dynamics (perceptual contagion, C convergence). Complementarily, the UCQ formula simplifies quantum mechanics and general relativity

Reality is not objective but an emergent construct arising from the ongoing interaction between individual consciousness (the observing Self / the interpreting Ego) and collective validation through imitation, repetition, and perceptual contagion. It stabilizes through emotional anchoring thresholds reinforced by loss aversion and only changes through a sufficiently massive voluntary convergence (social plasticity). Mathematics is not the primary substance of the universe but

The LWJS indicators are provided strictly for educational purposes and do not constitute financial, investment, tax, or trading advice, nor any promise of performance. Any use, modification, sharing, or redistribution is strictly prohibited without written authorization, and the user assumes full responsibility for their own decisions and outcomes. The purchase includes private access, personalized installation, and one-week support, but no guarantee, performance obligation,

"Pandora's Box" is the first universal formula that proves the crowd, the market, the climate, the fluid or the universe itself is a living autonomous organism that flips by itself — without a permanent leader — as soon as the accumulated energy (V), saturated by collective traumatic memory (M), encounters a violent imbalance (O(t)×D(t)). It reveals that revolutions, panics, crashes, climate collapses or cosmic singularities never come out of nowhere: they were already breath

The formula P(t) demonstrates that the crowd is an autonomous living organism that collapses on its own, without a permanent leader, as soon as the accumulated energy (V), saturated by traumatic memory (M), encounters a violent imbalance (O×D). Revolutions, panics, crashes, or collective awakenings never emerge from nowhere: they were simply waiting for the saturation point beneath the surface.

The Universal Dynamic Convergence Formula for Probabilistic Prediction of the AMOC Tipping Point (UCD-AMOC) is a probabilistic framework adapted from the Stommel model, designed to model the collapse of the Atlantic Meridional Overturning Circulation (AMOC) under noise and bistability. It integrates parameters such as salinity thresholds (S), hydraulic resistances (R), ocean volumes (V), flow divergences/convergences (D/C), time cycles (T), dynamic memory (M), energy density

This work presents an innovative probabilistic approach to solving the regularity problem of incompressible Navier-Stokes equations in 3D, by reformulating fluid dynamics via a multi-scale state function P(t). The modeling relies on P(t) = A ψ(S, R, V, D[D_cond, D_act], C, T, M) ⋅ [O(t) ⋅ D(t)], integrating multi-scale interactions, instabilities, and energy dissipation, with a dynamic memory M to stabilize turbulence. Analytical derivations prove equivalence to the Navier-St