Is discretionary trading dying in front of algorithms?

I have been observing that more and more traders, even in this same forum, are migrating to automated systems, algorithmic trading, bots, etc. I wonder if the discretionary trading (manual, with price action reading, etc.).

You're not dying, but you're losing space. Bots don't feel afraid, they don't get tired and run a thousand times faster. Who competes with that? You can't.

But I had to adapt my style to larger and more paused operating time frames. To compete in scalping against the HFT is suicide.

The difference is simple: a bot follows rules. You follow emotions. And you know who wins most of the time, don't you?

It's just that worries me. I'm learning discretionary trading and I feel like I'm late for the party. Is it worth staying on this line or better learning Python and forgetting?

Learning to program doesn't guarantee anything. If you don't know how the market works, your bot is going to be automated trash. First I learned to read price, then if you want to code.

Much of the automatic systems are designed on the basis of discretionary analysis. The human eye still has value. The difference is in execution, not logic.

They sold you smoke with that everything is going to be bots. The well-trained discretionary trader is always going to have contextual advantages that an algorithm can't anticipate.

Contextual advantages? What a laugh! Tell me when a bot pulls out 100 pips while you still doubt whether to enter or not because "the candle doesn't convince you".

And what do you think of the mixed model? For example: human analysis + algorithmic execution. Can it be balance?

That's the future, no doubt, the human to read the context, the algorithm to eliminate execution errors, winning combination.

I have been trading algorithmically for 3 years and gained a lot more peace of mind. I don�t overdo it anymore, I don�t get frustrated and I have free time. I don�t go back to the discretion or crazy.

I mean, it's not a war, both approaches can live together, but if you're going to stay in the pure discretion, you'd better be very good and very patient, because competition is brutal.

The sad thing is that many go into automatic trading without even understanding how a market works. The bot only accelerates your mistakes if you don�t know what you�re doing.

Conclusion: the discretion is not dead, but it is mutating. Staying in 2009 with lines of support and resistance drawn by hand is no longer enough. Adapt or die.

Discretionary trading is not dead, but it is being forced to evolve. For decades, classical technical analysis worked very well because most human participants saw and reacted to the same patterns. But today, with the massification of algorithms and HFT (High Frequency Trading)

Excellent analysis, really complete and balanced.

Don't you think bots are also starting to play real-time news with AI?

Thank you for this approach so well argued, it helped me a lot.

Thank you, I needed to read something meaningful in the midst of bot fanaticism.

And what platforms do you recommend to implement hybrid models like the ones you mention?

But isn't it simpler to focus on creating a 100% automatic system and forgetting about emotional stress?

Thank you for this comprehensive explanation. It made me see the discretionary trading from a new perspective.

But aren't we overestimating the human's ability to "read context"? AI algorithms already process news faster than we do.

Thanks for taking the time. It�s full of useful information that is usually overlooked.

Thank you, you helped me understand that the road is not black or white, but a combination.

Is it not risky to rely on "narratives" to anticipate the market? That is also subjective.

How reliable are hybrid models in high volatility conditions?

Thanks for the depth of the analysis, it was more useful than many articles I've read.

Thank you, I'm already taking notes to restructure my analysis approach.

Thank you for mentioning the importance of the context, most of which are totally ignored.

Do you really think a human can have contextual advantage in such a fast and automated market?

And what do you think of quantitative funds that already combine macro data with execution bots? Don�t they take light years?

Wouldn't we be trying to justify the discretionary approach because it's more "romantic"? Cold data doesn't lie.

Thank you, you opened my eyes to the possibility of using technology without losing the human touch.

Thank you, I needed a balanced vision and not so much fanaticism for a single methodology.

Thank you for showing that discretionary trading can evolve without disappearing.

Thanks for explaining the automated execution, I hadn't considered it.

But don�t you think automating the execution can also lose the �timing� that the trained trader has?

What if AI can interpret context better than us? Wouldn't that be the end of pure discretion?