Machine Learning

Learn basics to advanced concepts in machine learning and its implementation in financial markets. Includes deep learning, tensor flows, installation guides, downloadable strategy codes along with real-market data.

Top Picks

Neural Network In Python: Types, Structure And Trading Strategies

What is a neural network and how does it work? How can you create a neural network with the famous Python programming language? In this tutorial, learn the concept of neural networks, their work, and their applications along with Python in trading....
19 min read

Machine Learning Basics: Components, Application, Resources and More

Machine Learning basics, algorithms, concepts and techniques are the talk of the day! Machine Learning has dramatically altered every field. Dive into the basics of machine learning, and learn all about it....
14 min read

An Introduction to Unsupervised Learning for Trading

Learn about the basics of unsupervised learning algorithms and their use cases in Finance/Investment/Trading with examples in Python....
15 min read

Gold Price Prediction: Step By Step Guide Using Python Machine Learning

A guide about Gold price using prediction using machine learning in Python. Learn about defining the variables to create a linear regression model, and eventually predicting the Gold ETF prices....
5 min read

Machine Learning Strategy using Blueshift Visual Programming

We use Blueshift Visual Programming to create a machine learning strategy without writing any code! We also backtest and then live trade the strategy....
10 min read

Reinforcement Learning in Trading: Components, Challenges, and More

In this article, we will start with the concept of reinforcement learning and its components. Further, we will look at the learning process of the model and how to apply in trading....
12 min read

Introduction to Support Vector Machines

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....
15 min read

Decision Tree For Trading Using Python

We will focus on trading and how to use decision trees to find trading rules that allow us to gain an edge in the market....
14 min read

Machine Learning

Building and Regularizing Linear Regression Models in Scikit-learn

Linear regression models, regularization, its examples (Ridge, Lasso and Elastic Net regularizations) and how they can be implemented in Python using the scikit learn library - are all covered in this blog....
Machine Learning
13 min read

Principal Component Analysis in Trading

We will try to understand the principal component analysis and its application in trading. We also understand Eigenvalues and Eigenvectors along with covariance, which is used in Principal Component Analysis....
Machine Learning
12 min read

Introduction to Support Vector Machines

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....
Machine Learning
15 min read

Scikit Learn Tutorial: Installation, Requirements and Building Classification Model

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....
Machine Learning
14 min read

K-Means Clustering Algorithm For Pair Selection In Python

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....
Machine Learning
29 min read

Machine Learning In Trading Q&A By Dr. Ernest P. Chan

A Machine Learning in Trading Q&A session with Dr. Ernest Chan. You are free to ask him any query pertaining to this topic....
Machine Learning
19 min read

Ensemble Methods - Bagging And Boosting

This blog demonstrates some methods to improve the performance of decision trees & focus on ensemble methods like Bagging and Boosting to build decision trees....
Machine Learning
4 min read

Cross Validation In Machine Learning Trading Models

After reading this, you will be able to determine if your model is good in predicting which signal and performance of model in different stress scenarios...
Machine Learning
11 min read

Top Machine Learning Blogs Of 2018

This article lists down the top machine learning blogs for beginners as well as advanced readers to know how to apply machine learning concepts to trading....
Machine Learning
5 min read

Introduction To Deep Learning And Neural Network

This blog covers the basics of deep learning and neural network along with the history, working, and applications of deep neural network and deep learning....
Machine Learning
8 min read