7. Myanmar Relational Report: Subject-Related Online Content – to – Financial Markets

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This report analyzes the relationships between volume and sentiment changes in key indicator-related online content and Financial datasets of relevance to the country.

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This report analyzes the relationships between volume and sentiment changes in key indicator-related online content and Financial datasets of relevance to the country.

Volume and tonal changes within the Signal Intelligence categories (key Indicators) can have effects on financial markets and currency exchange rates. Online content related to recessions, economic crises, wars, elections, civil unrest, natural disasters, and other subjects can lead to drastic changes in markets. Likewise, major swings in markets can be a precursor to situational change and stability levels.

This report uses the TalsoAI algorithms to identify the strongest correlations and causalities between market and SIGINT datasets. A comprehensive matrix is created to measure all “pairings” and determine the Top Ten cases based on the TalosAI score. Final scores and corresponding charts are provided.

 

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