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....
14 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....
11 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

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

DBSCAN Vs K-Means

K-Means has its limitations DBSCAN solves them. This guide explains how DBSCAN works, its advantages over K-Means, and how to implement it in Python....
Machine Learning
9 min read

The TGAN Algorithm for Trading

Learn about the TGAN algorithm, how it creates synthetic data, and its use in backtesting trading strategies. Explore the benefits, challenges, and applications of TGAN in time-series analysis....
Machine Learning
11 min read

LLM & Generative AI for Sentiment Analysis in Finance

Explore how LLMs and Generative AI enhance sentiment analysis in finance. Understand their role in extracting market sentiment, analyzing event transcripts, and supporting data-driven trading strategies for better financial insights....
Industry
15 min read

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....
Machine Learning
14 min read

The Boruta-Shap Algorithm: A CPU and GPU version

Looking for a quicker way to compute the Boruta-Shap algorithm? Don’t miss the opportunity to find it here! Learn how to code it in Python using a brand-independent GPU!...
Machine Learning
5 min read

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....
Machine Learning
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!...
Machine Learning
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....
Machine Learning
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....
Machine Learning
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....
Machine Learning
12 min read