Quantitative trading, or quant trading, is a strategy that relies on mathematical models, algorithms, and statistical analysis to identify trading opportunities. It involves using historical data, machine learning, and automation to execute trades efficiently and minimize human biases. Quant traders develop and test strategies using programming languages like Python, R, or MATLAB, focusing on factors such as market patterns, price movements, and risk management. This approach is widely used by hedge funds, institutional investors, and algorithmic traders to optimize trade execution, improve profitability, and reduce risks in various financial markets, including forex, stocks, and cryptocurrencies.