AIOVELWiki← All guides

AI research learning paths

Use these narrower collections to move from a theme to the evidence, economics and risks that drive it.

Wiki learning path

AI and Quantitative Finance

Explore financial data, machine learning and AI research methods, including model applications, practical limitations and common mistakes.

143 guides. Start with the introductory topics; follow related links inside each guide.

Machine Learning Trading

GARCH Volatility Forecasting

Volatility is not constant and it is not random — turbulent days cluster together. GARCH is the standard way of turning that regularity into a forecast.

6 minRead guide →
AI Fundamentals in Finance

How Hedge Funds Use AI

Quant funds were early adopters of machine learning long before the current AI wave — here's what it actually does inside a trading operation.

6 minRead guide →
AI Stock Analysis

AI Stock Prediction Explained

AI models can attempt to forecast a probability distribution of outcomes from historical patterns — but that's a different thing than knowing what a stock will do tomorrow. Here's the honest mechanics.

6 minRead guide →
AI Stock Analysis

AI vs Human Stock Analysts

AI processes more filings and data points than any analyst could alone. Judgment, context, and accountability are a different matter — here's how the two actually compare.

5 minRead guide →
Machine Learning Trading

Algorithmic Trading Explained

Algorithmic trading replaces a human clicking "buy" with code that decides what, when, and how much to trade. Here's how those systems are built, executed, and kept in check.

6 minRead guide →
Machine Learning Trading

AI Trading Models Explained

"AI trading model" covers a wide range of techniques, from decades-old regressions to modern deep learning. Here's what the main families are and where each one is actually used.

6 minRead guide →
Machine Learning Trading

Deep Learning in Trading

Neural networks can, in principle, learn patterns in price data without being told what to look for. Here's how that actually works in practice, and where it tends to fall short.

6 minRead guide →
Machine Learning Trading

Reinforcement Learning in Trading

Instead of predicting a single number, reinforcement learning trains an agent to make a sequence of trading decisions by rewarding good outcomes and penalizing bad ones. Here's how that setup actually works.

6 minRead guide →
AI Financial Data Applications

AI Fraud Detection Explained

Every card swipe, wire transfer, and login attempt now passes through a model that scores how suspicious it looks — here's how that scoring actually works, and what it can't do.

5 minRead guide →
Advanced AI & Markets

Generative AI in Finance Explained

Generative AI doesn't just crunch numbers — it drafts text, summarizes documents, and produces first passes of work that used to be entirely manual. Here's where that's actually showing up across finance.

5 minRead guide →
Advanced AI & Markets

Future of AI in Investing

Nobody knows exactly how AI will reshape investing over the next decade. This is a discussion of plausible directions worth thinking about — not a forecast, and not investment advice.

4 minRead guide →