👉 Trading engineering, also known as quantitative trading or algorithmic trading, involves the use of mathematical and statistical models to develop automated trading strategies. It combines finance, computer science, and engineering to design, implement, and manage complex trading systems that execute trades based on predefined rules and criteria. These systems analyze vast amounts of market data in real-time to identify profitable trading opportunities, manage risk, and optimize trade execution. The goal is to leverage technology to enhance trading efficiency, reduce human error, and capitalize on market inefficiencies that might be missed by manual trading methods. Key components include data acquisition, model development, backtesting, risk management, and live trading execution, all integrated into a robust and scalable infrastructure.
