Artificial intelligence can be the most important means of developing financial strategies that were previously considered difficult to predict because traders are not able to compete with machines that can process huge amounts of data and continuously improve forecasts. On most exchanges, trading is carried out with the help of robots, which, when trading, make decisions based on algorithms and adjust strategies based on new data. Algorithmic trading has long become popular, which led to the emergence of high-frequency trading. Also, many Hedge Funds involve mathematicians who develop statistical models and use past data to create trading algorithms. But artificial neural networks have become an independent player in the world of trading, showing better results than the original exchange bots and algorithms, not to mention superiority over people. Market professionals note that trading has become very complicated and attribute this to the fact that the exchange robots familiar to them simply analyze the entered data, and artificial intelligence, unlike them, imitates the thinking of a financial analyst who collects and processes data for the report. Due to the growing impact of AI on modern trading, the spread of machine learning and increased computing power, specialists are also forced to observe a drop in profitability, and sometimes even loss-making. Compared with traditional trading technologies, artificial intelligence does not just collect data from financial news, social networks, stock indicators, but regularly carries out repeated testing. In this way, he learns to understand global trends in the market and improve predictions based on optimized knowledge. In addition, AI does not show human emotions when trading, such as greed and fear, and does not rely on irrational conjectures.

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