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

• Recommended Udemy Course: Build Your Trading Robot
• EA Lab by TradeView
• 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!