Arizona State University (ASU) CEE181 Technological, Social, and Sustainable Systems Final Practice Exam

Automated trading systems account for over 50% of daily trades on the New York Stock Exchange due to their efficiency and ability to execute trades at high speeds. These systems, often referred to as high-frequency trading (HFT) algorithms, leverage advanced technology to analyze market data and execute trades based on pre-set conditions. This capability allows them to capitalize on minute price fluctuations and react much faster than human traders, leading to a significant volume of trades throughout the trading day.

The predominance of automated trading has transformed the market landscape, making it increasingly reliant on technology for liquidity and market efficiency. This shift has implications for market dynamics, such as increased volatility and reduced reliance on traditional trading methods employed by individual investors, investment firms, and stock brokers.