Knowing how algorithmic trading works is key to success. This guide will break down what it is, how it works and why it could help your investments.

Courses such as “Python for Financial Analysis and Algorithmic Trading” set students up with basic tools such as Python, Pandas, Numpy and SciKitLearn and have them running simple ARIMA models ...

Algorithmic trading is an investment strategy that often resembles a 100-meter dash more than The Fool's usual approach of steady long-term ownership of top-shelf quality companies.

A Brief History of Algorithmic Trading. Algorithmic trading can trace its origins to as early as the 1970s when the Nasdaq stock market began operations with automated trading.

The advantages of algo trading are related to speed, accuracy, and reduced costs. Since algorithms are written beforehand and are executed automatically, the main advantage is speed.

Tools like Python programming language, Jupyter Notebooks, Technical Analysis Library TA-Lib, and CloudQuant are making it easier for anyone to enter the world of algorithmic trading.

The first type of algo trading strategy that we'll talk about is an arbitrage strategy. Arbitrage strategies use price differentials to generate risk free profit. Although these price ...