An algorithmic trader is a person or automated system that uses mathematical models and computerized procedures to identify trading opportunities and execute orders at high speed—often in fractions of a second. Algorithms remove human emotion and enable trading strategies impossible for manual traders.
Common Strategies
- Arbitrage: Exploits price differences across markets or instruments.
- Trend following: Enters trades when momentum is detected and exits on reversal.
- Mean reversion: Bets that prices will return to their average after deviating.
Key Advantages
Algorithms execute orders in microseconds, far faster than any human trader. They eliminate emotional biases like fear or overconfidence. They can process vast amounts of data and monitor multiple markets simultaneously, which scales trading activities beyond what a single person could manage.
Major Risks
Over-optimization is a common pitfall—algorithms that perform well on historical data may fail when market conditions change. System failures or network glitches can trigger large losses before they can be halted. Algorithms can also be hypersensitive to unusual market events or anomalies, leading to unexpected losses. Finally, regulatory requirements for algorithmic trading vary by jurisdiction and asset class.
