Quant funds process vast datasets to detect market patterns, arbitrage inefficiencies, or predictive signals. Strategies range from factor investing and statistical arbitrage to machine learning-based models. Unlike discretionary managers, quants rely on code and infrastructure — including APIs and FIX protocol — for execution. These strategies often require significant technological infrastructure, low-latency execution venues, and rigorous backtesting. Many are market neutral or non-directional and are measured using performance metrics like Sharpe Ratio. Quant strategies are a core pillar in systematic trading ecosystems.