Research and education at the intersection of financial markets, digital assets, AI-assisted analysis, and disciplined contract trading.
Peer-Reviewed Papers
Published in leading academic journals.
Pioneering practical applications at the intersection of finance, AI, and digital assets.
AI Crypto Contract Trading Program — AI-enhanced, research-driven education program with integrated digital asset contract trading.
Professor Alvren Miles brings together rigorous academic research in finance with deep understanding of digital asset markets. His work explores how AI and data analytics can uncover patterns in market structure, liquidity, and investor behavior.
Through teaching and education, he empowers trainees and investors to apply disciplined frameworks, manage risk responsibly, and make informed decisions in crypto markets.
Analyzing market microstructure, liquidity, and on-chain dynamics to understand crypto markets.
Applying machine learning and analytics to detect patterns and generate insights.
Designing and evaluating long and short strategies with clear execution and discipline.
Integrating human judgment with robust risk management to navigate uncertainty responsibly.
Collect and structure real-time, on-chain, and order-book data with integrity.
Use machine learning and analytics to extract actionable patterns and insights.
Define high-probability opportunities with quantitative edge levels.
Position size, Stop Loss, Liquidation Risk.
Execute with discipline, monitor in real-time, and document outcomes.
Understand the basics of crypto markets, trading pairs, risk.
Learn to analyze market structure, trends, and data.
Build a systematic trade, manage risk, and refine edge.
Apply AI tools and data analytics to enhance decisions.
Trade like a manager, not a speculator, with high intent.
AI, Liquidity, and Crypto Derivatives Markets — Exploring the role of AI in improving liquidity and risk dynamics across crypto derivative platforms. Published in Journal of Digital Finance (2024).
AI-Ethics Predictive Market Algorithm: Directing Skills with AI — Exploring machine learning approaches to forecast crypto market volatility. Published in Computational Finance Review (2024).
Human Judgment in AI-Assisted Financial Decision Making — Balancing automation with human oversight in AI-driven environments. Published in Journal of AI in Finance (2024).