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

• 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

• Recommended Udemy Course: Build Your Trading Robot
• Matt's charts: TradingView
• Financial website: Finviz

DesireToTRADE Top Resources

• Desire To TRADE Forex Trader Community (free group!)
• Complete Price Action Strategy Checklist (free checklist!)
• One-Page Trading Plan (free template!)
• DesireToTRADE Academy (exclusive training program)

How To Matt DeLong?

• Parabolic Capital
• Quora
• TradingView
• Twitter
• Email

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!