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

Listen to the audio episode: (49:18)

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49:18

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!

Watch: Video interview!

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!!