Understanding Algorithmic Trading: How Computers are Revolutionizing Stock Markets

Algorithmic Trading is first emerged in the late 1980s with the introduction of electronic trading. Early systems used relatively simple algorithms and rules to execute orders automatically as market conditions changed. The growth of computing power and high-speed data feeds in the 1990s allowed algorithms to incorporate more complex quantitative analyses. By the early 2000s, algorithmic trading systems had become highly sophisticated using predictive models, machine learning, and natural language processing. Over time, algorithms became faster, more advanced, and capable of analyzing massive datasets in real-time.

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