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

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

Understanding Backpropagation

We have some means of making our weights more accurate so that our output will be more accurate. We adjust these random weights using the backpropagation....
10 min read

Installing Keras - Using Python And R

In this article, we review the installation process of Keras and check some examples applied to trade systems....
4 min read

Deep Learning - Artificial Neural Network Using TensorFlow In Python

In this article, we develop a Machine Learning technique called Deep Learning (Artificial Neural Network) by using Tensorflow...
12 min read

How To Install TensorFlow GPU (With Detailed Steps)

Learn all about Tensorflow GPU Installation on an Nvidia GPU system using instructions and various steps involved in the process....
6 min read

Artificial Intelligence And Stock Markets, Here's What You Didn't Expect!

Role of Artificial Intelligence in changing the stock markets in many ways and it feels like financial singularity is just around the corner. Learn about the repercussions from the author’s point of view....
7 min read

Polynomial Regression: Adding Non-Linearity To A Linear Model

In this post, learn how to address the key concern of linear models. We will also take you in detail with the linear regression model to learn some of the key concepts. In addition to this learn how to implement polynomial regression with example....
16 min read

Decision Tree Classifier For Trading Part-1

This strategy to use decision tree classifier for trading will cover no normal technical indicators, but some of the author’s own creation....
5 min read

Use Decision Trees in Machine Learning to Predict Stock Movements

Decision trees are one of the widely used algorithms for building classification or regression models in data mining and machine learning....
7 min read

Forecasting Markets using eXtreme Gradient Boosting (XGBoost)

This post covers the basics of XGBoost machine learning model, along with a sample of XGBoost stock forecasting model using the “xgboost” package in R programming....
8 min read