Is discretionary trading dying in front of algorithms?

Do you have any statistical evidence to support that the mixed approach has better results?

Thank you, your response helped me to calm my anxiety about having to learn to program yes or yes.

Thank you, I took note of several points to rethink my strategy.

Thank you very much, I appreciate your rational approach, no exaggerations.

Thank you, this goes straight to my key reading folder.

And what role does cognitive bias play in a human contextual analysis? Does it not distort the advantage?

Aren't you underestimating the evolution of bots with machine learning? They learn from the context as well.

What if the bot copies the decisions of expert traders with historical data? Doesn�t it eliminate the human?

Thank you for giving you the job of writing something with so much real content and not smoke.

Thank you for your honesty. It is rare to see a balance between the human and the technical.

Thank you for marking that technology should be allied, not replacement.

Thank you for highlighting that we still have an active role if we can adapt.

And what do you do when the context changes unexpectedly? Doesn't an algorithm react faster?

Don't you think that in 10 years 90% of the volume will be dominated by bots?

And how do you avoid self-deception with subjective analysis? Isn�t it easier to lie than to program wrong?

Thank you, you gave me concrete tools to modernize my operation.

Thank you, now I understand why so many traders fail when they ignore technology.

Thank you, you gave me a road map without having to give up my analysis style.

Thank you, I needed an informed opinion and not just extreme opinions from either side.

Automated systems and algorithmic trading are gaining popularity due to their efficiency and ability to handle complex strategies. However, discretionary trading, especially using price action, remains valuable for those who prefer a more hands-on approach and wish to interpret market movements personally.