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Content provided by Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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111: Managing Monte Carlo

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Manage episode 212044123 series 2391648
Content provided by Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

As systematic and algorithmic traders, we have a number of tools and processes we can use to test and validate trading strategies.

For example, in-sample/out-of-sample testing, walk forward analysis, cluster analysis and a bunch more.

(And don’t forget all the fancy named techniques that have been lumped in with Machine Learning that are sometimes just rebadged techniques that have been around for ages already!)

Anyway, one of the tools that we have at our disposal is Monte Carlo analysis.

When you’re using a tool it can be good to understand how it works...

What are it’s strengths?

What are it’s weakness?

Today I’m going to share with you a little bit of audio from Dave Walton of Statistrade, explaining the benefits of Money Carlo analysis, and also a few of the weakness or false assumptions around Monte Carlo analysis that we really need to be aware of if we want to manage Monte Carlo effectively.

Let’s take a listen to what Dave has for us.

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.

  continue reading

242 episodes

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111: Managing Monte Carlo

Better System Trader

439 subscribers

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Manage episode 212044123 series 2391648
Content provided by Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

As systematic and algorithmic traders, we have a number of tools and processes we can use to test and validate trading strategies.

For example, in-sample/out-of-sample testing, walk forward analysis, cluster analysis and a bunch more.

(And don’t forget all the fancy named techniques that have been lumped in with Machine Learning that are sometimes just rebadged techniques that have been around for ages already!)

Anyway, one of the tools that we have at our disposal is Monte Carlo analysis.

When you’re using a tool it can be good to understand how it works...

What are it’s strengths?

What are it’s weakness?

Today I’m going to share with you a little bit of audio from Dave Walton of Statistrade, explaining the benefits of Money Carlo analysis, and also a few of the weakness or false assumptions around Monte Carlo analysis that we really need to be aware of if we want to manage Monte Carlo effectively.

Let’s take a listen to what Dave has for us.

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.

  continue reading

242 episodes

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