133: Algorithmic Trading Strategies (Moving To Automation) - Matt DeLong

133: Algorithmic Trading Strategies (Moving To Automation) - Matt DeLong

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!

Watch the video interview! 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!

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