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

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

Top 10 Blogs on Machine Learning | 2023

Explore a curated collection of our finest machine learning blogs spanning various expertise levels, tailored for students ranging from beginners to advanced practitioners....
6 min read

K-Nearest Neighbors Algorithm: Steps to Implement in Python

With KNN, you can effortlessly classify and predict data points based on their proximity to the k nearest neighbors. Find out more about the simplicity and robustness of KNN and let it help you revolutionise your trading experience....
12 min read

Autocorrelation in Trading: A Practical Python Approach to Analyzing Time Series Data

Autocorrelation can do a lot. Discover how this powerful statistical tool can uncover hidden patterns in time series data.Get ready to dive into the fascinating world of autocorrelation with this informative blog!...
14 min read

Convolutional Neural Networks in Trading with Python: A Complete Guide for CNN

A convolutional neural network is an important concept of deep learning and can be applied to trading as well. But what is it and how can it be applied to trading? This informational blog covers it all....
11 min read

Machine Learning for Algorithmic Trading in Python: A Complete Guide

Python's popularity and its rich ecosystem of libraries, coupled with the simplicity of implementing Machine Learning have made machine learning for algorithmic trading in Python a popular choice. Get all these useful insights with this informative blog....
16 min read

RNN, LSTM, and GRU For Trading

Use the power of RNN (Recurrent Neural Networks), LSTM (Short Term Memory networks) & GRU (Gated Recurrent Unit Network) and predict the stock price....
7 min read

Random Forest Algorithm In Trading Using Python

Discover step-by-step instructions to preprocess data, build models, interpret feature importance, and evaluate trading strategies. Overall, gain practical skills to enhance trading decisions using random forest algorithms with this comprehensive blog....
7 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 Regression

Machine Learning regression is a useful concept in trading. Regression is known to help with the forecasting of stock prices in the trading domain. Find out the basics of Machine Learning followed by how Machine Learning regression can be applied to your trading journey with this informative blog!...
10 min read