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455: The Reality Of Trading Fully Automated Systems - Kevin Davey

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Manage episode 419169219 series 3562180
Konten disediakan oleh Etienne Crete. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Etienne Crete atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

The Reality Of Trading Fully Automated Systems

In episode 455 of the Desire To Trade Podcast, we will be listening to the recording of an interview with Kevin Davey, discussing the reality of fully automated trading systems. Find out why extensive testing and adaptation of strategies is important for algo trading.

The video is also available for you to watch on YouTube.

>> Watch the video recording!

Topics Covered In This Episode
  • 00:00 Introduction
  • 00:42 What's new with Kevin
  • 02:39 Trading costs are against you
  • 05:42 The impact of competition and changing market conditions
  • 07:06 Testing strategies on multiple markets
  • 08:55 Considering trading costs in strategy development
  • 13:06 How long are strategies run before they go live?
  • 15:30 The psychology behind algorithmic trading
  • 17:56 The role of psychology in algorithmic trading
  • 20:30 How does one get used to running algorithms
  • 25:43 The potential and limitations of AI in trading
  • 28:00 Continuous improvement and learning in algorithmic trading
  • 31:39 Where to find Kevin Davey (links below)
  • and much more

What did you like best in this podcast episode? Let's talk in the comments below, or join me in the Facebook group!

Desire To Trade's Top Resources About The Desire To Trade Podcast

What one thing will you implement after listening to this podcast episode? Leave a comment below, or join me in the Facebook group!

Where to find Kevin Davey

What one thing will you implement after listening to this podcast episode? Leave a comment below, or join me in the Facebook group!

  continue reading

490 episode

Artwork
iconBagikan
 
Manage episode 419169219 series 3562180
Konten disediakan oleh Etienne Crete. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Etienne Crete atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

The Reality Of Trading Fully Automated Systems

In episode 455 of the Desire To Trade Podcast, we will be listening to the recording of an interview with Kevin Davey, discussing the reality of fully automated trading systems. Find out why extensive testing and adaptation of strategies is important for algo trading.

The video is also available for you to watch on YouTube.

>> Watch the video recording!

Topics Covered In This Episode
  • 00:00 Introduction
  • 00:42 What's new with Kevin
  • 02:39 Trading costs are against you
  • 05:42 The impact of competition and changing market conditions
  • 07:06 Testing strategies on multiple markets
  • 08:55 Considering trading costs in strategy development
  • 13:06 How long are strategies run before they go live?
  • 15:30 The psychology behind algorithmic trading
  • 17:56 The role of psychology in algorithmic trading
  • 20:30 How does one get used to running algorithms
  • 25:43 The potential and limitations of AI in trading
  • 28:00 Continuous improvement and learning in algorithmic trading
  • 31:39 Where to find Kevin Davey (links below)
  • and much more

What did you like best in this podcast episode? Let's talk in the comments below, or join me in the Facebook group!

Desire To Trade's Top Resources About The Desire To Trade Podcast

What one thing will you implement after listening to this podcast episode? Leave a comment below, or join me in the Facebook group!

Where to find Kevin Davey

What one thing will you implement after listening to this podcast episode? Leave a comment below, or join me in the Facebook group!

  continue reading

490 episode

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