Two studies derived from the methodological work on financial market analysis were considered within master-level university contexts.
Although academic publication was not the primary objective of the professional activity, two studies derived from the broader methodological work were considered within master-level university contexts.
The studies are connected to the application of mathematics and statistics to financial market analysis and to the development of strategic structures for financial instruments.
Their consideration in academic contexts is presented as evidence of the methodological interest generated by specific aspects of the work.
The first study concerns the mathematical and statistical analysis of temporal structures in financial markets, with a particular focus on order book dynamics and volume interactions within futures markets.
Originated from the observation of numerical relationships generated by trading volumes across the first three levels of the DAX futures order book, it was extended to daily, weekly, monthly, and annual intervals.
The framework provides a structural interpretation of price sequences, maintaining independence from conventional historical series structures and technical indicators.
Academic Context
Published by the Shanghai Advanced Institute of Finance (SAIF) in 2010 and connected to the Master’s Degree Program in Financial Market Derivatives.
Details
G C. (2010). Theory of Temporal Arcs. Shanghai Advanced Institute of Finance.
Read Full Study →The second study introduces the AC STOP framework, an innovative and structurally advanced daily stop-loss and Stop & Reverse methodology designed for predefined application across financial instruments.
The framework is built on recurring structural configurations influenced by temporal relationships, volatility acceleration dynamics, and operator behaviors.
It focuses on technical thresholds where trends show structural deterioration, reducing drawdown exposure and improving risk-adjusted performance.
Academic Context
Published in 2011 by Waseda University, Tokyo, within the academic framework of the Master’s Program in Technical Analysis Applied to Financial Markets.
Details
A Dynamic Daily Risk Management Framework for Financial Markets.
Read Full Study →These two studies should be understood as examples of academic interest in work originally developed within a professional and methodological context.
They do not define the entire professional profile and do not represent the central purpose of the activity.
Their relevance lies in the fact that specific aspects of the methodology were considered suitable for discussion within advanced university-level programs.
The core of the work remains the development of mathematical and statistical models, analytical structures, and strategic frameworks for the interpretation and trading of financial instruments.
Both studies are connected to the same methodological principles presented throughout the work: mathematical structure, statistical coherence, absence of retrospective optimization, independence from traditional indicators, and reproducibility.
The study on time horizons relates to the interpretation of financial market dynamics across different temporal structures.
The study on a new type of stop loss relates to the development of analytical tools for strategy construction and risk-control logic within financial market operations.
Together, they represent specific applications of a broader methodological framework.
The academic use of these studies supports the relevance of the methodology while remaining secondary to the broader professional profile.
The principal value of the work lies in the development of models and strategic structures that connect market expertise, mathematics, statistics, operational experience, and analytical rigor.