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192: “Full-Time Automated Trading” (@mattdelong90)

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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!

Previous interview with Matt: Moving To Automation

Topics Covered In This Episode

  • How has Matt DeLong's algo trading development progressed since last year [00:36]
  • How to start to create an automated trading system [02:40]
  • The second step in creating a fully automated trading portfolio [06:06]
  • The process to identify characteristics your strategies need [10:00]
  • When to know how many strategies is enough? [14:10]
  • The importance of good data for automated trading systems [15:09]
  • Why Matt uses AWS as its cloud software platform [21:36]
  • Why you need to build a “trade manager” [24:29]
  • Importance of brokers for automated trading [29:07]
  • The importance of having proper risk positioning and risk models in your strategies [35:48]
  • How Matt systems manage multiple positions from different strategies in 1 instrument [38:46]
  • Where can people find Matt DeLong [48:05]
  • And much much more!!

Resources Mentioned

DesireToTRADE Top Resources

How To 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!