All posts by Kris Longmore

Getting Started with Neural Networks for Algorithmic Trading

If you’re interested in using artificial neural networks (ANNs) for algorithmic trading, but don’t know where to start, then this article is for you. Normally if you want to learn about neural networks, you need to be reasonably well versed in matrix and vector operations – the world of linear algebra. This article is different. I’ve attempted to provide […]

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Back to Basics Part 3: Backtesting in Algorithmic Trading

Nearly all research related to algorithmic trading is empirical in nature. That is, it is based on observations and experience. This is in contrast with theoretical research which is based on assumptions, logic, and a mathematical framework. Often, we start with a theoretical approach (for example, a time-series model that we assume describes the process […]

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Back to Basics Part 2 – How to Succeed at Algorithmic Trading

Algorithmic Trading

–by Kris Longmore from blog Robot Wealth There is a lot of information about algorithmic and quantitative trading in the public domain today. The type of person who is attracted to the field naturally wants to synthesize as much of this information as possible when they are starting out. As a result, newcomers can easily be overwhelmed […]

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Back to Basics: Introduction to Algorithmic Trading

Algorithmic Trading

This is the first in a series of posts wherein we will change gears slightly and take a look at some of the fundamentals of algorithmic trading. So far, Robot Wealth has focused on machine learning and quantitative trading research, but I had several conversations recently that motivated me to explore some of the fundamental questions […]

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