193: 5 ALGORITHMIC TRADING Lessons (learned the hard way)! (@alexter6277)

Listen to the audio episode: (43:39)

0:00

43:39

193: 5 ALGORITHMIC TRADING Lessons (learned the hard way)! (@alexter6277)

Apple Podcasts Google Podcasts Youtube Spotify

Get The Complete Price Action Strategy Checklist!

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