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!!
- 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?
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!