The Ultimate Guide to Algorithmic Trading

Though you probably do not realize it, sophisticated algorithms are already dominating our everyday life, through traffic lights, train schedules, your Facebook newsfeed, and more. An area of algorithmic dominance that often goes unnoticed is in the stock market. These trading algorithms are reshaping the way trading is done on Wall Street. Investors are using algorithms designed for trading to bring greater efficiency to financial markets, and at the same time push us into uncharted financial territory. 

Trading is a gruesomely competitive world. And with AI being painted as the new wonder weapon for everything, it’s understandable that there’s a huge amount of interest in discovering how to use AI for trading. AI does play an important role in trading – but maybe not in the way you’d expect. Unfortunately, AI can’t be used to power a superhuman trading machine that steals human traders’ lunches in every market. Then, how AI helps traders make better decisions & improve high-frequency trading?

Algorithmic trading is perceived as a very complex area for beginners. There’s simply way too much to learn as it covers a wide range of disciplines that require a considerable degree of mathematical and statistical maturity. Simply put, if bogged down with the wrong resources initially, it can be very demotivating to understand or learn algorithmic trading.