Algorithmic Trading Strategies (Moving To Automation)
In episode 133 of the Desire To Trade Podcast, I interview Matt DeLong, an algorithmic trader & business owner to discuss the process of moving to automation.
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 Matt was trading prior to building algorithmic trading strategies 2:38
- When Matt decided to go from manual to automated trading 6:00
- The steps before starting to trade live with algorithms 8:02
- How to avoid curve-fitting the strategy to past data 11:40
- What to look for in a trading strategy programmer 13:27
- How to use risk in your favor 16:53
- The plan with Matt's hedge fund business 20:40
- How to use things like S/R areas in algorithmic trading 24:23
- How to handle major events in the market 26:57
- What Matt does if a strategy hits the max drawdown 28:57
- How Matt plans to find investors for his fund 30:14
- The required equipment as an algorithmic trader 32:30
- How often Matt looks at his past trades 37:00
- Essential risk management rules 38:10
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!
