History of AI in Financial Markets It's really cool how computers are changing the world of money! Here's a simplified look at how AI has grown in financial markets: * Early Days (Late 20th Century): * Imagine computers first started helping people with money stuff. They were used to do things like find tiny differences in prices to make small profits. This was called "algorithmic trading." * Also, banks started using computers to try and catch bad guys doing things like stealing money. This was the start of using computers to detect fraud. * Growing Smarter (1980s and 1990s): * Scientists created "neural networks," which are like computer brains that can learn. This helped computers get better at predicting things like stock prices. * So, computers started to get better at seeing patterns and making decisions. * Taking Off (2010s): * Computers started doing things super fast! This led to "high-frequency trading," where computers buy and sell stocks in the blink of an eye. * Also, "robo-advisors" became popular. These are like robot helpers that can manage your money for you. * Also, AI became much better at catching fraud, because it could learn and adapt to new ways that people tried to steal money. * Now and the Future: * AI is now used for many things, like helping banks talk to customers with chatbots, and analyzing huge amounts of data to find trends. * With the rise of things like Generative AI, computers are now able to process and understand huge amounts of text based data, to help investors make better decisions. In simple terms, AI has helped financial markets become faster, more efficient, and safer. It's like computers are becoming super-smart helpers for people who work with money.