👉 Investing computing, often referred to as quantitative investing or quantitative finance, is a method of making investment decisions based on mathematical models and algorithms rather than traditional fundamental or technical analysis. It involves using large datasets, statistical methods, and computer programs to identify patterns, trends, and correlations that can predict market movements and asset prices. These models can analyze vast amounts of data, including historical price movements, economic indicators, and even alternative data sources like social media sentiment or satellite imagery. By automating the investment process, quantitative investing aims to reduce human bias and emotion, leading to more rational and data-driven decisions. This approach can help investors identify profitable trading opportunities, manage risk more effectively, and potentially achieve better returns over time, although it requires significant computational resources and expertise in both finance and data science.
