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Trading
Cette approche, applicable à tous les actifs (actions, cryptomonnaies, devises) et échelles temporelles, transforme le chaos apparent des marchés en une histoire cohérente. Le trading devient ainsi un exercice de lecture des émotions collectives, où la discipline et la compréhension psychologique priment sur la spéculation.


CBD-Finance : A Structural Framework for Collective Financial Dynamics
This corpus presents a unified structural framework for understanding financial systems as complex adaptive collective systems governed by endogenous accumulation, collective memory, mimetic propagation, saturation, conditional reversibility, and progressive loss of governability. Rather than proposing predictive market models or investment strategies, it develops a rigorous structural interpretation of market regimes, transition dynamics, and systemic instability. The public


Collective Dynamics and Structural Limits of Financial Systems
This document proposes a structural theory of financial markets grounded in the Crowd-Based Dynamics (CBD) framework, viewing markets as collective adaptive systems rather than aggregates of individual decisions. It shows that periods of apparent stability often result from a silent process of mimetic accumulation that progressively rigidifies the system. This accumulation leads to saturation of collective memory, reducing the market’s capacity to absorb disturbances. The tex


Psychodynamic formulation : Supply _ Demand_ Collective Memory
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


Robot LWJS V21x32
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


LWJS Screener Market Phase +MTF
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 (


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


IP-LWJS V12-Z9X8+Indicator Description Guide
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.


Trading and Best Practices : Stock market methodology
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.


TERMS & CONDITIONS — LWJS Indicators
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,


LWJS Market Phase Indicator
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. Code Source Disponible dans Boutique


LWJS Trend + Multi-Timeframe Indicator
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. Code Source disponible dans Boutique.


The Financial Market: Human Instincts and Artificial Intelligence
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


Psychology of Traders and Cycles in Futures Contracts
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.
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