Human discretionary trading still carries a structural advantage over AI-driven approaches—and that edge isn't disappearing anytime soon. The data from May backs this up, and honestly it's only gotten more relevant since then.
Whenever someone claims AI trading dominates the market, you're usually looking at someone who hasn't really grasped how LLMs actually work under the hood. There's a fundamental gap between understanding language models and understanding market microstructure. Discretionary traders read market context, adapt to black swans, pivot on conviction. That's not easily automated, no matter what the marketing materials say.
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
9 Likes
Reward
9
8
Repost
Share
Comment
0/400
ExpectationFarmer
· 11h ago
The intuition behind manual trading can't be replicated by AI no matter how powerful... This is the real truth.
View OriginalReply0
SigmaBrain
· 12-27 03:13
Manual trading strategies still rely on experience and intuition. No matter how aggressively AI is promoted, it can't outperform the sudden market fluctuations... This is a fact.
View OriginalReply0
notSatoshi1971
· 12-27 02:50
Manual trading does still have advantages, but don't be too optimistic... There are too many AI marketing gimmicks
Human discretionary trading can indeed be played, but it's hard to say how long this advantage can be maintained
Let's talk about LLM again, AI really can't understand the market microstructure, but it's making rapid progress
That's right, the machine is a younger brother in front of the Black Swan Incident
It sounds good, but the key is that big money is already smashing AI, and our retail investors have a smaller advantage
View OriginalReply0
AirdropHunterWang
· 12-27 02:47
Manual trading really isn't that easy to be replaced by AI; in the face of black swan events, machine learning can only be blind.
No matter how aggressively AI is hyped, it can't match the intuition of an experienced trader—that's true skill.
View OriginalReply0
zkProofGremlin
· 12-27 02:46
Humans' intuition as traders can't really be replaced by AI... To put it simply, when faced with a black swan, you still need to rely on your brain.
View OriginalReply0
nft_widow
· 12-27 02:44
Manual trading still has vitality, and the marketing talk of AI is getting tiresome... Those who truly understand the market know that when a black swan event occurs, intuition still matters.
View OriginalReply0
ClassicDumpster
· 12-27 02:37
Manual trading offers some flexibility, but AI still can't handle it...
---
Another bunch of people praising AI trading as invincible, they really haven't studied how LLMs work.
---
When a black swan event occurs, automated strategies are caught off guard—that's the real core.
---
In terms of market microstructure, the intuition of veteran traders is truly earned.
---
People keep saying AI will replace manual trading, but the conclusion still depends on human judgment as the safety net.
---
Marketing buzzwords are misleading; to truly adapt to market changes, you still need the feel of an experienced trader.
View OriginalReply0
NotSatoshi
· 12-27 02:27
Is manual trading really still advantageous? Feels like this argument is a bit outdated; the market has long been changing.
Can human discretionary trading still win? I doubt it... Those who hype AI trading truly haven't understood the underlying logic.
It's the same old rhetoric—when black swan events happen, machine learning can adapt just as well.
Anyone familiar with market microstructure knows that manual trading simply can't keep up with the speed of quantitative algorithms.
Conviction pivot sounds impressive, but can data be deceptive?
But on the other hand, where are the big-money discretionary traders nowadays?
Human discretionary trading still carries a structural advantage over AI-driven approaches—and that edge isn't disappearing anytime soon. The data from May backs this up, and honestly it's only gotten more relevant since then.
Whenever someone claims AI trading dominates the market, you're usually looking at someone who hasn't really grasped how LLMs actually work under the hood. There's a fundamental gap between understanding language models and understanding market microstructure. Discretionary traders read market context, adapt to black swans, pivot on conviction. That's not easily automated, no matter what the marketing materials say.