Traditionally, traders have relied on human-based pattern recognition and technical analysis, looking at the company’s financial health, competitors and other methods for determining what trades to make on an asset.
However, with the growth of artificial intelligence (AI), there are additional ways that traders can analyze the markets, using the data gathered via machine learning. Both methods have their place in the industry, but it is best to understand how they both work and their benefits and drawbacks.