Trading - Analysis - Psychology

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 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 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

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,

The LWJS V12 Z9X8 indicators are an advanced educational tool for analyzing market trends and phases. It is available upon request only, is customizable, and includes installation plus one week of monitoring. It does not constitute financial advice or recommendations, and its use is entirely at the user's own risk.

This educational guide explores key trading questions, emphasizing technical analysis and crowd psychology, such as loss aversion, to predict price movements through naked charts, indicators, and cycles. It advises starting with bare charts for collective behavior insights, limiting tools, managing risk, specializing in assets, and cultivating patience for disciplined, resilient trading success.

LWJS-Market.P visually identifies market phases (bullish MH, bearish MB, neutral MN) on a single timeframe using RSI, MACD, volatility, and volume. Labels mark pivot points serving as dynamic support/resistance zones, appearing only when signals align. It can be used alone or combined with LWJS Trend for enhanced multi-timeframe market analysis. Source Code Available in Store

LWJS Trend + Multi-Timeframe visually tracks market phases (MH, MN, MB) across multiple timeframes from 15 min to 1 month, using price, RSI, MACD, volatility, and volume. Labels mark pivot points and form dynamic support/resistance, with a smooth curve connecting phase changes. It provides a clear multi-timeframe overview and can be complemented by LWJS-Market.P for single-timeframe analysis. Source Code Available in Store

Traders, driven by desire, context, engagement, uncertainty, and assurance, navigate psychological cycles amplified by futures contracts, oscillating between boldness, retreat, and collective pressures. A rational approach, rooted in structured analysis and discipline, helps master biases, transforming these cycles into informed decisions applicable to trading and daily life.

This document illustrates the synergy between human instincts, which give rise to contracts and divergences, and the role of artificial intelligences, which amplify these dynamics through high-frequency trading