Nicholas A. Thomas

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A passion for problem solving.

Founder of Complexity Insights.

Combining rigorous economic theory with complexity science to analyze market patterns and forecast trends.

"For millennia people have been trying to predict the future. Now, leveraging big data and machine learning, we can identify the patterns that drive change."

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Markets are complex adaptive systems—neither fully random nor entirely predictable. By studying emergence, feedback loops, and non-linear dynamics, we can identify the underlying patterns that traditional models miss.

Selected Work

Recent explorations in complexity economics and market dynamics.

Chaos Theory and Market Prediction

Complexity Insights • November 2024

An examination of how deterministic chaos manifests in financial markets, and why traditional forecasting models fail to capture emergent behaviors in complex economic systems.

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The Fractal Nature of Economic Cycles

Complexity Insights • October 2024

Exploring self-similar patterns across different time scales in market data, and how fractal geometry provides insights into boom-bust cycles that traditional economic models overlook.

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Machine Learning in Economic Forecasting

Complexity Insights • September 2024

A deep dive into how neural networks and ensemble methods can identify non-linear relationships in economic data, improving predictive accuracy where classical econometrics falls short.

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Professional Profile

Specializing in economics, complexity science, and data-driven analysis.

I

Education

Economics B.S.
Focus: Business & Law Economics
Minor in Business Administration


Combining rigorous theory with practical application.

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Experience

Research internships with the CATO Institute and the Greater Washington Institute.


Policy analysis, market research, and insights into complex economic systems.

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Scholarship

Publishing regular research on chaos theory and market dynamics. My research has been complmented by industry leaders. "That's impresive" - Joris Pinkse


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