A mysterious person joined a trading group.

Every day, they only said one sentence—
"Buy today."
or
"Sell today."

On the first day, some made money, some lost. Those who lost immediately left the group.

On the second day, they guessed correctly again. Continuing into the third day. By the seventh day, the remaining members realized they had been making profits for several days.

Two weeks later, this "teacher" had predicted correctly more than ten times in a row.

Someone couldn't help but ask how they did it. They didn't answer, only dropped a trading platform link.

At that moment, everyone who remained believed—this wasn't luck, it was real skill.

Then the market turned.

The first mistake. Someone in the group said, "It's normal to slip up occasionally."
The second mistake. The teacher said, "This is a shakeout phase."
The third mistake, still wrong.

The atmosphere started to cool down. Someone suggested taking a break. The teacher didn't speak again.

The group disbanded.

A few months later, a survivor saw familiar promotional words in another trading community:

"Sixteen consecutive 100% accurate predictions, welcome to verify."

Profile pictures were different, nicknames were different.

But the pattern was exactly the same.

At that moment, he finally understood—those sixteen times were never about showcasing ability, only about filtering out who is most likely to believe.

This logic also appears in many aspects of crypto trading: certain KOL's signal records, curated backtest cases, trading strategy promotions. The key is—you often see only the data of those who survived. Failed predictions have long been deleted, and the owners of failed accounts have long fallen silent.

The true test of trading is never about a few lucky or unlucky guesses, but whether you can continuously manage risk amid real market fluctuations. Those who can endure a bear market and stay calm in high-risk situations are the ones whose success is worth paying attention to. Everything else might just be survivors telling stories.