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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.
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
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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!