RiskSentinel - Agentic Systemic Risk Simulator
Multi-agent systemic risk simulator for financial contagion analysis on 210 S&P 500 stocks, built for Microsoft AI Dev Days Hackathon 2026 and deployed as an interactive Streamlit …
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Multi-agent systemic risk simulator for financial contagion analysis on 210 S&P 500 stocks, built for Microsoft AI Dev Days Hackathon 2026 and deployed as an interactive Streamlit …
Leveraging Graph Neural Networks (GNNs) and complex network theory to detect early warning signals of systemic risk in financial markets.
Technical implementation of the JADT paper pipeline, integrating multilingual preprocessing, topic modeling, correspondence analysis, semantic spaces, sentiment modules, and …
Financial machine learning project combining dynamic correlation networks, graph neural networks, and trading backtests to detect systemic risk in U.S. equity markets.