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

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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