Overview
Quantitative trading, often shortened to 'quant trading,' is a sophisticated investment strategy that relies on complex mathematical models, statistical analysis, and computational power to identify and execute trades. Rather than relying on human intuition or fundamental analysis of a company's health, quants build algorithms designed to exploit tiny, fleeting market inefficiencies or predict price movements based on historical data. This field has exploded in scale, with quantitative hedge funds managing hundreds of billions of dollars and employing armies of mathematicians, physicists, and computer scientists. The core idea is to remove human emotion from trading decisions, allowing for faster, more systematic execution of profitable strategies. From high-frequency trading (HFT) firms like [[jump-trading|Jump Trading]] to algorithmic asset managers, quant trading has fundamentally reshaped the financial markets, making them more efficient but also introducing new systemic risks.