5 ALGORITHMIC TRADING Lessons (learned the hard way)!

In episode 193 of the Desire To Trade Podcast, I am sitting down with Alejandro, a hybrid swing and day trader that became a collaborator at Desire To Trade Academy. Today we discuss 5 trading lessons related to algorithmic trading that we learned the hard way.

Watch: Video Interview

Topics Covered In This Episode

Who is Alejandro Pérez and has been his trading path 00:54

Alejandro's development as an algo trader 03:38

How to handle drawdowns when implementing an algo strategy 07:51

Have alerts at the extremes of "normal" risk limits 10:18

When to know your strategy stops working 12:52

Thinking of algos strategies stats like "investment" profiles 16:18

Turning your algos during economic events/ news 17:44

The importance of always keep running your algos in demo even when they are already live 20:20

How often you go back and test potential improvements to your algos 22:17

What platform Alex uses to program his algos 25:22

How to know that you are ready to advance to the next step with your algo strategy development 28:02

The importance of keep working in your development process 34:55

Having different strategies to work on different market conditions 36:12

and much more

Resources Mentioned Join the Academy Trading Assistant Montreal Traders Meetup ForestParkFx Forex trading strategy I use  FXPro Quant (free EA builder tool) 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 Find Alejandro Perez? DesireToTRADE Academy Twitter @alexter6277

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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