Adestto AI
Methodology

Why I Stopped Watching TikTok to Trade

Mahugnon4 min read

The week the feed and the chart told two completely different stories

This past week was a good reminder of something I keep having to relearn.

There was a stretch — Tuesday into Wednesday — where financial content on social media was particularly loud. You know the kind of week: a macro event on the calendar, a bit of volatility in equity indices, and suddenly every trading account with a ring light is posting a take. Some were calling it a "massive opportunity." Others were warning of imminent collapse. The thumbnails were dramatic. The comment sections were worse.

Meanwhile, on the actual chart, price was doing something considerably less cinematic. It was consolidating. Ranging. Respecting levels that had been relevant for days. There was no confirmation of the narrative being sold in the feed — just a structure forming quietly, without anyone's permission.

I didn't trade the narrative. I watched the structure. And the week ended without the fireworks that had been promised on either side.

That gap — between what the feed says and what price is actually doing — is something I've been thinking about for a long time. But this week made it concrete again.

The real cost of borrowed conviction

I've been building Adestto AI for a while now, and one of the things that pushed me toward Smart Money Concepts early on was precisely this problem: how do you develop a read on the market that doesn't depend on someone else's opinion?

Because here's what I noticed — and what I think a lot of newer traders haven't fully absorbed yet — the influencer trading ecosystem isn't designed to make you a better reader of price. It's designed to keep you engaged. Those are not the same goal. In fact, they're often in direct conflict.

When you consume enough of that content, you start to develop what I'd call borrowed conviction. You don't actually have a thesis grounded in what you see on the chart. You have a feeling — half yours, half someone else's — and you're not always sure which half is doing the talking when you pull the trigger.

SMC gave me a framework that forces you back to the chart. Order blocks, liquidity sweeps, market structure shifts — these aren't things you can outsource to a TikTok creator. You either see them on the chart or you don't. And if you don't, the honest answer is to wait, not to borrow someone else's read and pretend it's yours.

This is something I try to build into the curriculum at the Académie — not a dogmatic approach to any one method, but the habit of developing your own read before you look at what anyone else is saying. Read the chart first. Then, maybe, check the commentary. Not the other way around.

The psychological cost of borrowed conviction is underestimated. When a trade goes against you and you know, deep down, that you entered because of a YouTube video rather than your own analysis, the damage isn't just financial. It erodes something harder to rebuild: your trust in your own judgment. And that trust is the actual edge. Not the indicator. Not the strategy. The capacity to see something in the chart and act on it with clarity — that's what you're building when you sit down and do the work.

The social media trading ecosystem, at its worst, is a machine for destroying that capacity. It replaces slow, earned conviction with fast, borrowed certainty. And fast, borrowed certainty is one of the more reliable ways to blow up an account.

I'm not saying every creator is acting in bad faith. Some are genuinely sharing what they see. But even the well-intentioned ones are showing you their read, built on their context, their risk tolerance, their timeframe. You're watching someone else's analysis and calling it yours. That's the trap — and it's subtle enough that a lot of people don't notice it until the damage is done.

What I'm watching as we move into April

A few things have my attention going into next week.

The macro calendar for early April is reasonably full — there are data releases that have historically created short-term volatility in dollar-denominated pairs and indices. I'm not positioning around a prediction; I'm watching how price reacts around key structural levels when those events land. Reaction tells you more than the number itself.

More specifically, I'm watching whether the consolidation structures that formed this week resolve with conviction or continue to compress. Compression that persists across a macro event often precedes a sharp move — but the direction isn't something I'll claim to know in advance. The question I'm sitting with is: where is the liquidity sitting, and which side of the structure gets swept first?

I'm also keeping an eye on the correlation between risk sentiment in equities and how it bleeds into commodity-linked currencies. That relationship has been inconsistent lately — which is itself interesting. When correlations that usually hold start to break down, it's worth paying attention to why.

None of this is a call. It's a list of things worth watching with fresh eyes, away from the feed.

— Mahugnon, depuis Montréal


⚠️ Personal observations for educational purposes only. Does not constitute financial advice. Trading derivatives carries a high risk of capital loss.

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About the author

Portrait of Mahugnon H.

Mahugnon H.

CEO · Adestto AI · from Montréal

CEO of Adestto AI. Builds AI analysis tools for the markets and publishes an editorial journal to learn both without kidding himself.

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