046: Perry Kaufman on building algorithmic trading strategies [AUDIO ONLY]
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- Опубликовано: 5 сен 2024
- 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
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Thanks you for the interview and thank Perry Kaufman for sharing the knowledge, a lot of things I learned from this interview.
glad you liked it Quan!
Interesting about using multiple strategies. Ive never thought of this idea before.
Excellent interview, I wouldn't have thought about linearity being misleading in optimisation parameters.
cheers Teh
Awesome value in this interview, thanks!
cheers tobago
LOVE IT, Thank you