Machine Learning in Trading

There has been increasing talk in recent years about the application of machine learning for financial modeling and prediction. From neural networks to deep learning the possibilities are endless. Check out some of our articles to learn more.

Algorithmic Trading Basics

Risks of Automated Trading Systems

The theory behind automated trading makes it seem simple: Set up the software, program the rules and watch it trade. In reality, however, automated trading is a sophisticated method of trading, yet not infallible.

Machine Learning in Trading

Linear Regression For a Momentum Based Trading Strategy Using Zipline Trader

This Article Provides a Guide on How to use Linear Regression for a Momentum Based Trading Strategy Using Zipline Trader

Machine Learning in Trading

Alternative Bars in Alpaca: Part III - (Machine Learning Trading Strategy)

We will learn to build a live machine learning-based strategy implementing the alternative bars.

Machine Learning in Trading

Building a Financial Machine Learning Pipeline with Alpaca

Pulling minutely bar data from the Alpaca Data API, converting it to dollar bars, and then using these bars to build a simple feature matrix.

Machine Learning in Trading

Comparing 3 Different Types of Neural Network Architectures in Finance - Intro into Machine Learning for Finance (Part 3)

In this article, we compare three different types of neural network architectures in finance - Intro into Machine Learning for Finance (Part 3)

Machine Learning in Trading

Forecasting Market Movements Using Tensorflow - Intro into Machine Learning for Finance (Part 2)

Is it possible to create a neural network for predicting daily market movements from a set of standard trading indicators using Tensorflow?

Machine Learning in Trading

Intro into Machine Learning for Finance and Trading (Part 1)

There has been increasing talk in recent years about the application of machine learning for prediction. Is machine learning worth investing time and resources into mastering?