Full-Time Automated Trading
In episode 192 of the Desire To Trade Podcast, I interview Matt DeLong, an algorithmic trader & business owner to discuss the process of running a fully automated trading business.
Over time, Matt went from being a manual day trader to making returns in the market through the use of algorithmic trading strategies.
While I find interest in the topic of algorithmic trading, I find a lot of value in speaking with people who are in-the-action and executing on their ideas. That's primarily why I wanted to bring Matt on the show!
Topics Covered In This Episode
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How has Matt DeLong's algo trading development progressed since last year 00:36
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How to start to create an automated trading system 02:40
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The second step in creating a fully automated trading portfolio 06:06
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The process to identify characteristics your strategies need 10:00
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When to know how many strategies is enough? 14:10
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The importance of good data for automated trading systems 15:09
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Why Matt uses AWS as its cloud software platform 21:36
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Why you need to build a "trade manager" 24:29
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Importance of brokers for automated trading 29:07
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The importance of having proper risk positioning and risk models in your strategies 35:48
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How Matt systems manage multiple positions from different strategies in 1 instrument 38:46
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Where can people find Matt DeLong 48:05
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and much much more!!
Resources Mentioned
DesireToTRADE Top Resources
How To Connect with Matt DeLong?
What is one thing you are going to implement after listening to this podcast episode? Leave a comment below, or join me in the Facebook group!
