quantitative trading

C++ is the programming of choice for the hedge funds, big banks and other financial institutions when it comes to building systems. C++ a powerful object oriented programming language that has many applications. C++ is a bit difficult to learn. However in this course C++ For Traders, I have made...

Particle Filter is a Simulation Monte Carlo Method that is popular with Quants on Wall Street. Today with the increased computational power available on laptops and desktops, it is very easy to build a particle filter. In this Particle Filter For Traders course we show you in simple and easy...

Kalman Filter is very popular with hedge fund traders and bank traders. Most retail traders have no idea what this Kalman Filter it. Kalman Filter was originally developed for the Apollo Space Mission. Later on it was discovered by finance people and they also started using it for quantitative...

Bayesian Statistics is being increasingly used by hedge funds in their algorithmic trading systems. Bayesian Statistics gives us the tools to start with a prior belief and then use the data to improve on that belief. For example, we can use Bayesian Statistics to predict the high and low of the...

Artificial intelligence is increasing being used in trading and investing. Many hedge funds now employ quants whose job it is to develop artificial intelligence trading system. Machine learning is the backbone of artificial intelligence. Read this post in which we explain 8 Artificial...