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Algorithmic trading means using a computer program to execute trading decisions automatically, based on a predefined set of rules, rather than a human manually analyzing charts and placing each order. The program continuously monitors market data and executes trades the instant its programmed conditions are met — an entry signal, an exit condition, a stop-loss trigger — far faster and more consistently than manual execution allows.
An Expert Advisor (EA) is the specific term used on the MetaTrader platform (MT4/MT5, widely used in forex and CFD trading) for an algorithmic trading program. An EA is essentially a trading strategy's exact rules translated into code — the same kind of entry, exit, and risk-management logic covered by a written trading plan elsewhere in this education section, but executed automatically by software rather than by a human watching a chart.
The core appeal of algorithmic trading is consistency and speed: a well-built algorithm executes its rules identically every single time, immune to the fear, greed, hesitation, or fatigue that affects human decision-making, which is a large part of why algorithmic and EA-based trading has become such a significant part of modern markets, from individual retail traders automating a personal strategy up to large institutional trading operations.
Algorithmic trading is not, by itself, a guarantee of profitability — an EA automates a strategy's execution, but it doesn't automatically create a good strategy. A poorly designed or inadequately tested algorithm will lose money automatically and consistently, just as reliably as it would execute a good strategy well; this is exactly why backtesting (covered in the previous lesson) is such a critical step before deploying any automated system with real capital.
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