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Algorithmic trading and robots

Investing in accounts traded by robots or rule-based systems: strengths, hidden risks and how to evaluate them.

Investors Intermediate
In this guide Definition Strengths Hidden risks Evaluating an algorithmic account Buying a robot

Definition

In algorithmic trading, a program decides when to open and close trades according to predefined rules. It may run on your own account (for example a MetaTrader expert advisor) or on a PAMM account whose manager uses a robot.

Strengths

  • Disciplined execution without emotion.
  • Round-the-clock operation across several markets at once.
  • Rules that can be tested on historical data.

Hidden risks

RiskExplanation
OverfittingA system tuned perfectly to past data fails in live markets
Martingale and averaging downIncreasing size after losses: long stretches of small wins, then a sudden large loss
Changing market regimesA rule that worked in one volatility regime fails in another
Technical dependencyServer or internet outages, or changes in broker conditions

Evaluating an algorithmic account

  1. Judge by the live account connected to a data source, not by backtest results.
  2. Look at the maximum drawdown and how long losing periods lasted.
  3. Weigh the average win against the average loss alongside the win rate.
  4. Ask whether position size increases after losses.
  5. Consider the length of the record; a short record says little, even with good numbers.

Buying a robot

If you buy a robot or expert advisor, use verified sellers in the services marketplace, where your payment is held until you confirm delivery.

Last updated: 2026-10-18

These guides are educational and are not investment advice. Trading and investing in financial markets can lead to the loss of some or all of your capital.