Learn more about Algorithmic Trading

Algorithmic trading uses computer programs to trade stocks and other financial assets automatically at high speeds. By responding to variables such as price points, volume, and market behaviors, trading algorithms reduce the risk of trading too soon or too late based on emotion. Udemy offers a wide selection of algorithmic trading courses to help you understand this potentially lucrative process.

Frequently asked questions
Each algorithmic trading strategy designed by a computer programmer follows a specific sequence of steps to ensure trades are timed correctly and executed at the best price. Some examples of common algorithmic trading strategies include execution algorithms are “volume-weighted average price (VWAP),” “time-weighted average price (TWAP),” “implementation shortfall” algorithms, and portfolio rebalancing algorithms. In addition, high-frequency trading algorithms, also known as “alpha-generating strategies,” are designed to help traders decide what security to trade and market timing. Remember, they offer only a handful of trading strategies. Computer programmers continue developing more complex and unique trading strategies.