A growing library of educational research covering market structure, risk management, trading psychology, macroeconomics, algorithmic trading, and AI-assisted analysis. Always educational. Never advice.
UCI Research is organised into focused educational categories. Each category covers foundational to advanced concepts designed to build your analytical framework.
Understanding how price moves through phases of accumulation, markup, distribution, and decline. The foundation of any analytical framework.
The most important discipline in trading — protecting capital across positions, sessions, and market regimes. Risk management IS the edge.
The internal game. How cognitive biases, emotional reactions, and mental frameworks shape performance — and how to develop lasting discipline.
The macro backdrop drives market behaviour at every level. Understanding the economic environment separates context-aware traders from noise traders.
How machine learning, statistical modelling, and algorithmic systems are used in modern trading — and what independent traders can learn from institutional methods.
Deep dives into documented trading methodologies — how established strategies work, what the academic and practitioner research says, and how to evaluate them critically.
Foundational reading lists, glossaries, and structured learning paths for traders at every level — from first principles through advanced quantitative concepts.
The UCI Research Library will be populated with original educational articles, research summaries, and strategy breakdowns. Below is a preview of planned content.
A comprehensive educational breakdown of the two most important structural signals for understanding market direction — how to identify them, what they mean, and how traders use them as context for decision-making.
An educational exploration of fixed fractional, Kelly Criterion, and volatility-adjusted position sizing methods — with historical context on why this single variable determines long-term account survival more than any entry signal.
An educational walkthrough of how Hidden Markov Models can statistically identify distinct market regimes from price data — and why regime awareness is fundamental to any adaptive trading or investment strategy.
How central bank interest rate policy ripples through currency markets, bond yields, and risk assets — an educational breakdown of the mechanisms that connect monetary policy decisions to observable market behaviour.