Geopulse Ai – Global Conflict Risk & Market Impact Intelligence
DOI:
https://doi.org/10.47392/IRJAEM.2026.0131Keywords:
Geopolitical intelligence, financial trading signals, React.js, Three.js, Claude AI, RSI, MACD, EMA, geopolitical heat index, large language models, market prediction, web-based dashboardAbstract
Armed conflicts, economic sanctions, and political instability consistently rank among the strongest catalysts for short-term volatility in global financial markets. Yet despite this widely recognized link, virtually all mainstream trading platforms handle market data and geopolitical intelligence in complete isolation, depriving analysts of the context required to interpret price movements and anticipate future direction. This paper introduces GeoTrade (GeoPulse AI), an AI-driven geopolitical intelligence platform engineered to transform real-time global news into structured, actionable financial trading signals. The system continuously tracks twelve geopolitical hotspots worldwide, applying a composite scoring framework that fuses live technical indicators (RSI-14, MACD, EMA-20) with zone-specific geopolitical heat indices across twelve financial instruments covering six asset classes. Natural language market analysis and reasoning are generated through Anthropic's Claude Sonnet large language model, accessed via the Messages API. The platform is implemented as a React.js single-page application featuring Three.js WebGL 3D globe visualization, a five-timeframe live candlestick chart engine, and a real-time intelligence feed. Evaluation results confirm 100% signal accuracy for zone-asset correlations, a median Claude API response latency of 1.8 seconds, and verified cross-browser compatibility across Chrome, Firefox, and Edge.
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Copyright (c) 2026 International Research Journal on Advanced Engineering and Management (IRJAEM)

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