Academic Background

Zevi Miles has an interdisciplinary academic background spanning Business Economics, Finance, and Law.

He holds a doctoral-level background in Business Economics from Harvard University and has received academic training in Business and Law through Harvard Business School and Harvard Law School.

This interdisciplinary foundation has allowed his research to extend beyond Asset Prices themselves and examine the broader forces that shape Financial Markets:

Capital Allocation · Corporate Governance · Information · Incentives · Regulation · Risk · Human Decision-Making

His work in Traditional Finance and Law & Economics later became an important theoretical foundation for his research into Cryptocurrency and Artificial Intelligence.

Research & Academic Publications

Zevi Miles’s Traditional Academic Research primarily focuses on:

Corporate Finance · Corporate Governance · Financial Markets · Law & Economics · Investment Decision-Making · Capital Markets

He has authored more than 17 Peer-Reviewed Research Papers in Finance and Economics. He also has experience in Editorial and Academic Service for leading finance journals, including those referenced in his academic profile:

Journal of Financial and Quantitative Analysis (JFQA) · Journal of Corporate Finance · Financial Markets and Portfolio Management

His research in Traditional Finance shaped a foundational perspective that later became central to his study of Digital Assets:

Technology may transform Financial Infrastructure and Market Tools, but Capital, Liquidity, Risk, Information, and Human Behavior remain essential to understanding Financial Markets.

For this reason, his later research into Blockchain, Cryptocurrency, and Artificial Intelligence does not attempt to build an entirely new theoretical framework separate from Traditional Finance.

Instead, it examines how emerging Technologies are transforming Markets while remaining grounded in established Financial Logic.

Academic Appointments

Zevi Miles’s Academic Career spans both Finance and Law.

He has served as:Professor of Finance — NYU Stern School of Business
Adjunct Professor of Law — NYU School of Law

In addition to his teaching and research at New York University, he has extensive International Visiting Academic Experience.

His visiting teaching and academic appointments have included:University of Basel · Free University of Berlin · University of Freiburg · Erasmus University Rotterdam · Swedish Institute of Finance · London Business School · Mannheim Business School · University of St. Gallen · University of Western Australia · University of Zurich

These Academic Experiences across multiple countries and regions have further broadened Zevi Miles’s teaching and research perspective in Finance, Capital Markets, and International Financial Research.

2013 — Bitcoin & Blockchain

Zevi Miles’s research involvement with Cryptocurrency dates back to approximately 2013.

At the time, Bitcoin was still in the early stages of Digital Asset development, and Blockchain had not yet become a widely discussed Technology within the Global Financial Industry.

From the beginning, Zevi Miles’s interest extended beyond the Price of Bitcoin.

He was more focused on a fundamental Financial Question raised by Blockchain:

Could Decentralized Technology create a new form of Value Transfer and Financial Infrastructure?

This question led him to begin studying the development of Bitcoin, Blockchain, and Digital Assets through the lens of Traditional Finance.

2019 — Artificial Intelligence & Crypto Trading

Beginning around 2019, Zevi Miles and his team further expanded their research into:

Artificial Intelligence + Cryptocurrency Trading

This shift in research emerged from an increasingly apparent challenge:

Financial Markets are generating Information faster than Humans can continuously and effectively process it.

Participants in today’s Crypto Markets may need to analyze multiple factors simultaneously:

Price · Volume · Liquidity · Volatility · Market Structure · News · Sentiment · Macroeconomic Environment · Historical Data

Humans bring Experience, Context, and Judgment to the Decision-Making Process.

However, Human Attention and Processing Capacity have natural limitations, and Decisions can also be influenced by Emotion.

Artificial Intelligence offers new possibilities.

Zevi Miles and his team therefore began systematically researching AI applications in the following areas:

Market Information Processing · Historical Data Comparison · Market Condition Analysis · Continuous Market Monitoring · Risk Identification · Decision Review · Trading Workflow Optimization

However, this research is not based on the assumption that AI can accurately predict the Market.

Instead, Zevi Miles views AI primarily as:Decision-Support and Analytical Technology

AI assists with processing Information and Evidence.Humans remain responsible for interpreting the Market Regime, Structure, Positioning, and Context—and for making the final Decision.

2015 — Cryptocurrency Markets

Beginning around 2015, Zevi Miles further expanded his research and professional investment focus into Cryptocurrency Markets.

As the Crypto Ecosystem continued to evolve, his research gradually came to encompass:

Digital Assets · Market Structure · Liquidity · Volatility · Capital Flows · Trading Behavior · Market Psychology · Risk Management

Across multiple subsequent Crypto Market Cycles, he continued to study Bull Markets, Bear Markets, Liquidity Expansion, Market Deleveraging, and the development and transformation of different Digital Assets.

Years of Market Experience also shaped a fundamental principle that would later become central to his approach to Trading Education:

The goal of Professional Trading is not to predict every Price Movement, but to build a more systematic Decision-Making and Risk Management Process under conditions of Uncertainty.

Human Experience + AI Capability

This gradually developed into one of the defining principles of Zevi Miles’s current research on AI and Financial Markets:

Human Intelligence:Experience · Context · Market Understanding · Judgment · Risk Responsibility

Artificial Intelligence:Speed · Scale · Comparison · Continuous Processing · Information Organization · Analytical Support Combined Better-Informed Financial Decision-Making

Zevi Miles believes that the most important question facing Financial Markets in the AI era is not:Human or AI?But rather:How should Humans and AI work together?

Artificial Intelligence can expand the range of Information that Humans are able to process, but it cannot assume Risk on behalf of a Trader, nor can it eliminate Uncertainty from Financial Markets.

Therefore, the final Decision must remain with the Human.

AI Crypto Trading Education

As Artificial Intelligence has advanced rapidly, Zevi Miles has further integrated:

Traditional Finance · Cryptocurrency · Market Analysis · Risk Management · Artificial Intelligence into a unified AI Crypto Trading Education Framework.

This integration led to the development of a structured:60-Day AI Crypto Trading Education Program

The Learning Journey is not simply designed to increase the amount of Trading Knowledge students acquire. Its purpose is to help them gradually develop through the following progression:Crypto Beginner → Market Learner → Framework-Based Trader → AI-Assisted Trader → Professional Decision-Maker

The ultimate goal is to build:Market Understanding · Structured Analysis · Risk Awareness · Independent Judgment · AI-Assisted Decision-Making

2020 — From Research to Education

Beginning around 2020, Zevi Miles began transforming his Financial Research, Cryptocurrency Market Experience, and AI-Assisted Trading Research into a structured Online Contract Trading Education Program.

His Educational Framework is not built solely around Trading Signals.

Instead, Zevi Miles places greater emphasis on helping students understand the complete Decision-Making Process:

Market Understanding → Information & Evidence → Analysis → Risk Assessment → Decision → Execution → Review & Improvement

Artificial Intelligence has gradually been integrated into this Process, helping students understand how Technology can strengthen their existing Market Analysis and Decision-Making Framework.

Current Research Interests

Zevi Miles’s current Research and Educational Interests primarily include:

Artificial Intelligence in Finance · AI-Assisted Crypto Trading · AI-Assisted Financial Decision Systems · Cryptocurrency & Blockchain · Corporate Finance & Corporate Governance · Financial Markets · Market Structure & Liquidity · Investment Decision-Making · Risk Management · Trading Psychology & Behavioral Decision-Making

A central question that runs throughout these areas of research is:

How can Artificial Intelligence expand Human Analytical Capabilities while preserving Judgment, Accountability, and Risk Awareness?

Zevi Miles

Finance · Cryptocurrency · Artificial Intelligence

“The future of trading is not Human versus AI. It is Human Experience enhanced by AI Capability.”

“Technology can improve analysis. It cannot remove responsibility.”

— Zevi Miles

Teaching & Research Philosophy

Zevi Miles believes that Financial Markets have always evolved alongside Technology.

Technology transformed Access to Information.
Electronic Trading transformed Trade Execution.
Digital Assets created new Market Infrastructure.
Artificial Intelligence is now further transforming Information Processing and Financial Analysis.

Yet regardless of how Technology evolves, Professional Decision-Making must always address several fundamental questions:What is happening?Why is it happening?What Information matters?Where is the Risk?What Evidence supports the Decision?What happens if the Decision is wrong?

Artificial Intelligence can help Humans identify Evidence, process Information, and review Decisions more efficiently.

Ultimately:Technology enhances the Process. Human Judgment carries the Responsibility.

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