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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.
Real-World Example
A trader builds an EA that automatically buys the moment RSI drops below 30, skips any additional filter or backtest, and runs it live immediately, confident that automation alone guarantees consistency. Within weeks the account is down significantly, because the underlying rule was never actually validated, the automation executed a bad rule perfectly and consistently, exactly demonstrating that algorithmic trading only automates whatever strategy it is given, good or bad.
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