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Machine Learning

Benchmarking the NVIDIA GeForce RTX 4060 for Machine Learning Workloads

Trading in today’s financial markets isn’t just about intuition and experience—it’s also about data. Whether you're analyzing price movements, testing trading...
Rajandran R
Jan 7, 2025 7 min read

Test – Time Compute Explained for Traders – Machine Learning Tutorial

Imagine you’ve just spent weeks training a new machine learning model to predict stock price movements. You’ve crunched terabytes of historical...
Rajandran R
Dec 21, 2024 3 min read

The Hidden Reality of Quant Trading: Focusing on the Right Things

Quantitative trading often conjures images of high-tech algorithms, AI-driven bots, and sophisticated models capable of predicting market movements with precision. Terms...
Rajandran R
Aug 25, 2024 3 min read

Introduction to Neural Networks for Traders

In today's world, obtaining a competitive trading edge can often mean the difference between achieving success and facing failure. To achieve...
Rajandran R
Feb 1, 2024 4 min read

[Infographic] Evolution of Machine Learning

Imagine a world where machines learn like humans, constantly evolving and improving. This isn't a scene from a sci-fi movie—it's the...
Rajandran R
Jan 19, 2024 2 min read

What is Online Machine Learning?

Online machine learning, also known as incremental or streaming machine learning, is a type of machine learning paradigm where a model...
Rajandran R
Oct 27, 2023 4 min read

How to Perform Machine Learning Using Amibroker and Python

Amibroker is a powerful technical analysis and trading system development platform, used extensively by traders and analysts for developing and deploying...
Rajandran R
Apr 19, 2023 5 min read

Predicting Gap Up, Gap Down, or No Gap in Stock Prices using Logistic Regression

Logistic Regression is a popular statistical method used for predicting binary outcomes, such as predicting whether an email is spam or...
Rajandran R
Apr 10, 2023 5 min read

AdaBoost – Ensembling Methods in Machine Learning for Stock Market Prediction using Python

In this article, we will discuss how ensembling methods, specifically bagging, boosting, stacking, and blending, can be applied to enhance stock...
Rajandran R
Apr 9, 2023 7 min read

Feature Scaling – Normalization Vs Standardization Explained in Simple Terms – Machine Learning Basics

Feature scaling is a preprocessing technique used in machine learning to standardize or normalize the range of independent variables (features) in...
Rajandran R
Apr 8, 2023 3 min read

Predicting Stock Price and Market Direction using XGBoost Machine Learning Algorithm

Forecasting the trajectory of the stock market remains an elusive endeavor for both investors and traders alike. A myriad of methods...
Rajandran R
Apr 4, 2023 4 min read

Learning Linear Regression – Simple Machine Learning Based Prediction Algorithm for Forecasting Stock Price

Linear regression is a type of supervised learning algorithm that makes predictions based on a linear relationship between the input variables...
Rajandran R
Apr 2, 2023 5 min read
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