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!