Info

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.
RSS Feed Subscribe in Apple Podcasts
Better System Trader
2019
June
May
April
January


2018
November
October
September
August
July
June
May
April
March
February
January


2017
December
November
October
September
August
July
June
May
April
March
February
January


2016
December
November
October
September
August
July
June
May
April
March
February
January


2015
December
November
October
September
August
July
June
May
April


All Episodes
Archives
Now displaying: April, 2016
Apr 17, 2016

Backtesting and execution are such key parts of algorithmic trading so choosing the wrong platform can have a huge impact on our trading.

There are loads of trading platforms available and a lot of considerations which need to be made when choosing one that suits our needs, so in this episode we’ll be discussing backtesting and execution platforms with Nitesh Khandelwal, department head at QuantInsti who also co-founded iRageCapital and iRage Global Advisory Services.

After our chat on algorithmic trading platforms we’ll also cover statistical arbitrage, high frequency trading and some interesting audience questions, so listen out for those.

Topics discussed

  • The 3 key components to an algorithmic trading platform and the basic questions you need to answer before choosing a trading platform
  • Why backtesting and execution platforms should be separate
  • Choosing a programming language and why python has become a popular choice in trading
  • The benefits and drawbacks of using python in trading
  • Statistical Arbitrage, how it came about and the benefits of the approach
  • The primary risks of statistical arbitrage, especially during times of market stress and how they can be reduced
  • The most important factor in stat arb trading
  • Common mistakes traders make when building statistical arbitrage models
Apr 3, 2016

I’m sure we all want to create trading strategies that perform better and last for longer but there are a number of issues we need to look out for when developing robust trading strategies, some are well-known and some perhaps aren't.

In this episode we’ll be talking with Perry Kaufman about strategy development and more specifically some of the issues that can catch us out when creating trading strategies. Perry raises some interesting points about optimization that may not be well known plus he shares loads of tips to creating more robust strategies.

Perry writes extensively on markets and strategies, having published fourteen books and has just released a new book on building algorithmic trading strategies, which we'll be discussing in this episode.

He has worked and consulted to a number of successful CTA, investment and prop trading groups, creating systematic trading and hedging programs.

This is also his 2nd appearance on the podcast, appearing as a guest way back in Episode 10.

Topics discussed

  • The most robust type of systems
  • How your choice of optimization values could be misrepresenting your results and how to choose parameters that give a more accurate picture
  • The mistakes traders make when analyzing optimization runs and tips to doing it properly
  • How to really determine if a new trading rule is robust
  • Reducing risk by using multiple parameters
  • What the number of profitable runs in an optimization can tell you about the robustness of a strategy
  • Why diversifying across strategies instead of across markets could be a better approach
  • The challenges of building robust strategies using Genetic Algorithms and Neural Networks
1