Intro to Algorithmic Trading – An Algorithmic Trading System
This is the first post in our 3-part Back to Basics series which serve as an introduction to algorithmic trading.
This is the first post in our 3-part Back to Basics series which serve as an introduction to algorithmic trading.
What if you had a tool that could help you decide when to apply mean reversion strategies and when to
This is the first post in a two-part series about the Hurst Exponent. Tom and I worked on this series
This post comes to you from Dr Tom Starke, a good friend of Robot Wealth. Tom is a physicist, quant
It would be great if machine learning were as simple as just feeding data to an out-of-the box implementation of
Last night it was my pleasure to present at the Tyro Fintech Hub in Sydney on the topic of using
If there’s one thing I’ve done a lot of over the last few years, reading would be it. I’ve devoted
Introduction My first post on using machine learning for financial prediction took an in-depth look at various feature selection methods
Disclaimer: I am not posting this at the behest of the developers of Zorro, nor do I receive any form
Updates: 2019: In this first Machine Learning for Trading post, we’ve added a section on feature selection using the Boruta
Recently, I wrote about using mean-reversion time series models to analyze financial data and build trading strategies based on their
In the first Mean Reversion and Cointegration post, I explored mean reversion of individual financial time series using techniques such