An algorithm in trading is a clearly defined set of rules, calculations, and conditions that systematically prepares or automatically executes trading decisions. These rules are typically based on mathematical models, technical indicators, statistical analysis, or a combination of various data sources.
The algorithm continuously analyzes market data such as prices, volume, and volatility, and derives signals for entering or exiting positions. Unlike discretionary trading, where human judgment plays a central role, an algorithmic approach operates without emotions and follows repeatable patterns.
Trading algorithms are used at different levels of complexity—from simple rule-based systems to highly advanced quantitative models. They can be monitored manually, used as semi-automated support, or deployed fully automatically.
Their strength lies in the speed, consistency, and scalability of decision-making, especially in fast-moving markets such as foreign exchange trading.
