Abu--Seif

The Illusion of the Dubai Lifestyle
Open X or YouTube right now. You’ll see them within seconds.
The guys in Dubai holding steering wheels of rented Lamborghinis. The "Alpha Callers" posting screenshots of 10,000% gains. The gurus promising you that if you just buy this one specific coin today, you’ll be retiring by December.
They look like trading geniuses. They sound incredibly confident. But here is the ugly truth: You are not their community. You are their product.
I spent years following these "gurus," buying the dips they called, and wondering why my portfolio was bleeding while they were buying new watches. Then I learned how the game is actually rigged.
If you want to stop losing money in crypto, you need to understand the three dirty secrets of the influencer industry—and why switching to an objective algorithm like Fortune AI is the only way to level the playing field.
Truth #1: You Are the "Exit Liquidity"
In traditional finance, insider trading is a felony. In the wild west of crypto, it’s just a Tuesday.

Here is the exact playbook 90% of crypto influencers use:
They (or a private group of whales) quietly buy a massive bag of a low-cap, unknown "shitcoin" when the price is near zero.Once their bags are packed, they take to Twitter and YouTube. They blast out "ALPHA ALERT" and tell their millions of followers that this coin is "the next 100x gem."Driven by FOMO (Fear Of Missing Out), retail investors (you) rush in to buy. The price skyrockets.While you are buying... they are selling.
In finance, this is called needing "Exit Liquidity." When someone holds millions of dollars of a useless token, they can't just sell it without crashing the price to zero. They need a massive wave of buyers to absorb their sell orders.
They don't care about the project. They hyped it up simply to use your money to cash out their profits. When the dumping is done, the chart falls off a cliff, and you are left holding a worthless bag.
Truth #2: The Paid Shill (They Don't Trade What They Preach)

Did you know that top-tier crypto YouTubers and Twitter personalities charge anywhere from $10,000 to $65,000+ for a single promotional post?
When an influencer makes a video saying, "I just found this incredible new Web3 gaming token," there is a very high probability they were paid a massive flat fee (or given a huge percentage of the token supply) to say that.
They don't have their own hard-earned money invested in the coin. Their "risk" is zero. Even worse, many of the insane PnL (Profit and Loss) screenshots you see online are taken from demo accounts provided by sketchy exchanges to make trading look incredibly easy.
Truth #3: They Sell "Hopium," Not Risk Management

The biggest red flag of a crypto guru is that they never talk about losing.
When a trade goes well, they repost it for weeks: "I TOLD YOU SO! HOPE YOU LISTENED!" When a trade goes bad, they delete the tweet, ignore it, or tell you to "Just HODL, have diamond hands, it will come back!"
Telling people to hold onto a dying asset is terrible financial advice, but it gets likes. It builds a cult following. Real trading isn't about never losing; it's about strict, boring, mathematical risk management. But "setting a tight Stop Loss" doesn't get clicks on YouTube.
The Solution: Algorithms Over Egos

Humans are driven by greed, fear, and the need for validation. Algorithms are not.
This is exactly why I stopped listening to influencers and handed my execution strategy over to Fortune AI.
No Hidden Agendas: The AI doesn't get paid under the table by a sketchy meme coin developer. It simply scans the data, volume, and momentum.No Emotions: If a trade goes against the AI, it hits the Stop Loss and exits the trade. No "diamond hands," no praying, no hopium.No Ego: It doesn't care about looking right on Twitter. It only cares about mathematical probability.

Trading is hard enough without having to guess if the person giving you advice is secretly trying to steal your money.
Stop funding the Dubai vacations of crypto influencers. Stop being their exit liquidity. Start trading with cold, hard data.