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

Forward Propagation In Neural Networks: Components and Applications

Find out the intricacies of forward propagation in neural networks, including its components and applications, in this comprehensive blog. Gain a deeper understanding of this fundamental technique for clearer insights into neural network operations....
22 min read

The Triple Barrier Method: A Python GPU-based computation

The triple-barrier method in a couple of seconds? Once you handle huge amounts of data and want to use the triple barrier method, you’ll go All in with this GPU-based code!...
8 min read

Covered Call Strategy Using Machine Learning

Learn how to use machine learning for covered call strategy and how advanced algorithms optimise trades for a successful journey in this innovative investment approach....
14 min read

Machine Learning Logistic Regression: Python, Trading and more

Unlock the power of machine learning logistic regression for trading with this comprehensive Python guide. Master key concepts, implementation, and strategies to make data-driven decisions and enhance your trading success....
16 min read

Clean, Transform, Optimize: The Power of Data Preprocessing

Trading relies heavily on effective data preprocessing, making it a crucial step in the process. This blog provides insights into optimising the efficiency of your machine learning models through proper data preprocessing techniques and more....
12 min read

Hierarchical Clustering in Python: A Comprehensive Implementation Guide

Dive into the fundamentals of hierarchical clustering in Python for trading. Master concepts of hierarchical clustering to analyse market structures and optimise trading strategies for effective decision-making....
16 min read

Free Resources to Learn Machine Learning for Trading

Explore free resources to master machine learning for trading. Dive into expert tutorials, practical guides, and hands-on projects. Enhance your trading strategies with the power of data-driven insights. Start learning today!...
9 min read

Introduction to XGBoost in Python

Unlock the power of XGBoost in Python with our beginner-friendly guide. Learn the fundamentals, interpret models, and explore its application in trading. Discover how to overcome challenges and enhance your trading strategies with this versatile machine learning algorithm....
17 min read

Machine Learning Classification: Concepts, Models, Algorithms and more

Explore powerful machine learning classification algorithms to classify data accurately. Learn about decision trees, logistic regression, support vector machines, and more. Master the art of predictive modelling and enhance your data analysis skills with these essential tools....
24 min read

Bag of Words: Approach, Python Code, Limitations

Explore Bag of Words (BoW) in NLP with our detailed guide. Learn the BoW approach, implement it in Python, and understand its limitations. After reading, you'll confidently create BoW models, grasp their applications, and recognize their caveats in text analysis....
15 min read