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Crowd Dynamics and Behavior
LWJS Screener Pro MTF
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
The Psychodynamic Formula P(t)Universal Model of Self-Organized Collective Behavior
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.
Autonomous Management and Administration of Collectives
It explores the foundations inspired by nonlinear physics, the psychology of groups and complex networks, fostering the spontaneous emergence of collective intelligence through elementary interactions. Each component of the formula is detailed for practical application : S/R for attractions/repulsions, V for energy, D/C for transitions, M for memory, T for rhythms, I for information, O(t)/D(t) for opportunities/pressures, and F(t) for constraints. Concrete examples, such as h
LWJS V12-Z9X8+ Indicator Description Guide
The IP-LWJS V12-Z9X8+ Indicator is a versatile technical analysis tool that detects market trends, momentum shifts, and price targets using a multi-factor formula, suitable for beginners and professionals across various assets like stocks, forex, and cryptocurrencies. It features a dashboard summarizing key metrics such as market phase (bullish/bearish/neutral), RSI, predicted directions, trading signals, and historical success rates (70-90% depending on asset), with visual s
Solution of the Regularity of the Navier-Stokes Equations
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
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