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

Reinforcement Learning in Finance: Resources and Expert Advice from Paul Bilokon

Discover expert resources on Reinforcement Learning in Finance, featuring insights and strategies from Dr. Paul Bilokon. Learn how RL is transforming trading with AI-driven solutions and practical tools....
15 min read

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....
7 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

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....
Machine Learning
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....
Machine Learning
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....
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....
Machine Learning
8 min read

Machine Learning and Its Application in Forex Markets - Part 2 - Working Model

In part one we derived rules for a forex strategy using the SVM algorithm in R. Here we take a step further, and demonstrate how to backtest our findings....
Machine Learning
4 min read

Machine Learning Application in Forex Markets - Working Model

To use ML in trading, we use historical data (stock price/forex data) and add indicators to build a model in R/Python/Java. We then select a Machine learning algorithm to make the predictions....
Machine Learning
5 min read