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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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Nov 29, 2015

Andrew Gibbs has been involved in the financial markets since 2001 and is the founder and CEO of Halifax New Zealand.

Andrew has extensive experience in all forms of equity and derivative contracts, managing millions of dollars and trading a number of markets around the world.

In this episode we discuss volatility and methods to trading the VIX plus the benefits and methods of including fundamental data in technical quant models.

Topics discussed

  • Instruments you can use to trade volatility and the benefits or disadvantages of each
  • What makes the VIX attractive to trade and why it often trends over time
  • The types of trading styles that suit the VIX
  • The dangers of trading volatility products
  • Seasonality in the VIX
  • How to get started building volatility trading models
  • Fundamental data and the types of fundamental datasets that work well in quantitative models
  • Why some fundamentals work better than others
  • The frequency of fundamental data release and how that dictates trading model style
  • How to account for revisions to data
  • The impact of including fundamental data can have on trading results
  • Technical vs Fundamental data and which tends to be more robust
  • Issues with fundamental data and company reporting accuracy
  • How to reduce the chances of investing in a company that is likely to go bust
  • Combining fundamentals and technical data and how to test
  • How to get started building fundamental quant models
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