Financial markets were once dominated by human traders reacting to news and intuition. Increasingly, algorithms are taking a central role in how markets operate.
Automated systems can analyse data, execute trades and respond to market movements within fractions of a second.
Large financial institutions and hedge funds use algorithmic trading to manage risk, improve efficiency and process enormous volumes of information.
Artificial intelligence is expanding these capabilities further, allowing systems to identify patterns that may not be obvious to human analysts.
Supporters argue automation improves liquidity and market speed. Critics warn it can also amplify volatility when many systems react simultaneously.
There are also concerns about transparency, as highly complex trading models can become difficult to fully understand or regulate.
Experts suggest the future of finance will involve increasing interaction between human judgment and machine-driven decision-making.
