In this article, we will understand how support vector machines work and its application in trading. We will also go through the maths behind the SVM and the process of using it in a non-linear model....

This blog on ‘Steps in Data Science’ will walk you through a helpful framework to understand the process of data science. Using a case study on a food delivery app, we will try to break down the steps to help you learn the life cycle of any data science project....

In this Scikit learn tutorial, we will see how we can leverage the power and simplicity of Scikit Learn to build a classification model (also called a classifier) and tune its parameters in a step by step guide....

In this tutorial, we will understand the different components of Jupyter Notebook and how to install it. We will also take a look at the different shortcuts and magic commands in the notebook and how to write in markdown language....

In this article, we will understand where stops help, where they don’t, their effect on profitability and, if you are using them, where to set them....

In this article, we will understand why reading is important to build on your trading knowledge and along the way, list down a few good reads which will be useful to you in the world of trading....

Are you new to Algo trading? Confused about how to start, where to start? If you want to develop your first Algo, what are the stages you have to go through, there is limited information on this. I will try to explain this by taking a real trading strategy....

In this article on the K-means machine learning algorithm, we will understand how it works and its importance in the world of statistical arbitrage trading. We will also develop and code a Statarb strategy using the K-means algorithm....