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Better System Trader

If you’re looking for inspiration, motivation and practical advice on improving your trading results, Better System Trader delivers every week. Each episode brings you an expert trader who shares their own story, along with the steps, both good and bad, that they’ve taken on their path to success. With a focus on actionable insights, the tips and tricks used by the experts contain loads of value, providing you with insanely practical tips and tools you can start using TODAY. Improve your trading with Better System Trader.
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Mar 19, 2017

Machine learning has seen a huge amount of growth over recent years with the increase in available data and processing power.

It's an incredibly powerful toolset for uncovering patterns and relationships in data, however, these tools can be challenging to learn, apply correctly and are also open to abuse.

Our guest for the episode, Kris Longmore from Robot Wealth, specializes in Machine Learning, Algorithmic Trading and Artificial Intelligence.

He is the co-founder and Head of Quantitative Research at Quantify Partners and also provides consulting and educational services through his website Robot Wealth.

In this episode Kris is going to share with us some of his insights into Machine Learning and strategy validation, including:

  • How Machine Learning can be used to analyse huge amounts of data, uncover patterns and relationships, and define a trading edge,
  • How Machine Learning tools can be abused and the common mistakes that traders make with Machine Learning,
  • Strategy validation techniques that best suit market data and 1 popular technique that shouldn't be used,
  • How to approach the vast libraries of algorithms available today,
  • Why delaying the trading process can lead to opportunity cost and how to know when a model is ready for trading,
  • Plus much more.

 

Disclaimer:
Trading in the financial markets involves a substantial risk of loss and is not suitable for everyone. All content produced by Better System Trader is for informational or educational purposes only and does not constitute trading or investment advice. Past performance is not necessarily indicative of future results.

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