Behind the Screenshots of Earnings: How Does AI Trading Really Work?

On social media platforms, whenever someone posts earnings screenshots, the comments section usually features two types of voices:
One says "Great master, guide me." The other says "Is this photoshopped?"
Recently on Gate.io's Gate Square, AI evaluators have also started posting AI earnings screenshots.
However, truly experienced people know that screenshots are just results—techniques are what matter.
AI trading is actually a bit like a racing competition—the car is important, but the driver is more important.
Many evaluators have summarized several practical techniques:

Technique One: Use AI for market scanning. AI can quickly filter out highly volatile cryptocurrencies, allowing traders to discover opportunities at the first moment.

Technique Two: Let AI analyze sentiment indicators. Social media, news trends, capital flows—these all reflect market sentiment. AI's analytical speed in this regard far exceeds human capabilities.

Technique Three: Strategy testing. Before actual trading, use AI to simulate the historical performance of different strategies. This backtesting function can reduce a lot of blind trial-and-error.

Of course, some people have added an "entertainment factor" to AI trading.
One user posted on Gate Square saying: "I set up three strategies for AI, and as it turned out, AI chose the most conservative one by itself."
Someone replied in the comments: "AI is more rational than you."
While this is a joke, it also highlights the core advantage of AI trading—it won't be swayed by emotion.
However, truly smart traders never completely rely on AI.
Because the market changes too quickly, and AI also needs to continuously update its data.
So the best approach is actually: AI handles the calculations, humans handle the judgment.
This combination might just be the standard configuration for future trading.
#Gate广场AI测评官