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

On social media platforms, whenever someone shares a returns screenshot, the comment section typically features two voices:
One says "Great master, please teach me." The other says "Is this Photoshopped?"

Recently on Gate.io's Gate Square, AI reviewers have also started sharing AI returns screenshots.

However, truly experienced people know that screenshots are just results—techniques are the key.

AI trading is somewhat like a car racing competition—the car matters, but the driver matters more.

Many reviewers have summarized several practical techniques:

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

**Technique Two: Let AI analyze sentiment indicators.** Social media, news popularity, and capital flows—these can all reflect market sentiment. AI's analysis speed in this regard far exceeds human capability.

**Technique Three: Strategy testing.** Before live trading, use AI to simulate the historical performance of different strategies. This backtesting function can eliminate a lot of blind attempts.

Of course, some people have also used AI for "entertainment effect."

One user posted on Gate Square saying: "I set three strategies for AI, and it ended up choosing the most conservative one."

Someone in the comments replied: "AI is more rational than you."

While this is said in jest, it highlights the core advantage of AI trading—it won't be swayed by emotions.

However, truly smart traders never completely rely on AI.

Because market changes too rapidly, and AI also needs constant data updates.

So the best approach is actually: **AI handles calculations, humans handle judgment.**

This combination might be the standard setup for future trading.

#Gate广场AI测评官