Algorithmic trading uses computer algorithms to automate buying and selling in financial markets. It aims to execute trades quickly and efficiently by analyzing market data and using mathematical models. Strategies include market making, arbitrage, and risk management. Algorithms are tested using historical data before being used in real markets. Some advanced strategies use machine learning to adapt to changing market conditions.