The short definition
Automated trading is the use of software — sometimes called a trading bot, algorithm, or Expert Advisor — to enter and exit positions in a brokerage account according to a fixed set of rules. The rules can be simple (a moving-average crossover) or extremely complex (an ensemble of machine-learning models filtering thousands of signals per day).
Why traders use it
Three reasons dominate. First, consistency: a well-built system follows the same rules every time, removing the discretion that quietly drains most discretionary accounts. Second, coverage: software watches every market every hour, which no human can do. Third, scale: the same algorithm can manage one account or one hundred without extra effort.
What automated trading is not
It is not a guaranteed income, and it is not "set and forget" in the lazy sense people hope for. Markets shift, strategies decay, and even strong algorithms have drawdown periods. What automation removes is the manual click — not the underlying market risk.
The components of a real automated trading system
- Strategy logic — the rules that decide when to buy, sell, and size positions.
- Risk management — position sizing, drawdown limits, correlation checks.
- Execution layer — the connection to a brokerage account that places the orders.
- Monitoring — a dashboard, alerts, and audit trail so you can verify what the system did and why.
Take any one of these away and you don't have automated trading — you have a script with problems waiting to surface.
Who it suits
Automated trading is most useful for people who want exposure to systematic strategies but don't want a full-time screen-watching habit: working professionals, business owners, and traders who already understand markets but want to remove the emotional swings of manual execution.
What to ask before using any automated system
- Is the performance verifiable on live broker accounts — not just backtests?
- Who controls the funds? (Hint: it should be you, in your own brokerage account.)
- How is risk capped per trade, per day, and overall?
- What happens when the strategy underperforms — is there a kill switch?
If you want a deeper look at how the underlying execution layer works, read how algorithmic trading works. If you're weighing whether to automate at all, see automated vs. manual trading.