Behind the Screenshots of Revenue: How to Play AI Trading?



On social media, whenever someone posts a revenue screenshot, the comments section usually features two voices:
One is "Great master, teach me." Another is "Is this photoshopped?"
Recently on Gate.io's Gate Plaza, AI reviewers have also started posting AI revenue screenshots.
But truly experienced people know that screenshots are just results—techniques are the key.
AI trading is actually a bit like racing—the car matters, but the driver matters more.
Many reviewers have summarized several practical techniques:

Technique 1: Use AI for market scanning. AI can quickly filter out cryptocurrencies with significant volatility, allowing traders to discover opportunities at the first moment.

Technique 2: Let AI analyze sentiment indicators. Social media, news popularity, capital flows—these all reflect market sentiment.
AI's analysis speed in this regard far exceeds human capability.

Technique 3: Strategy testing. Before live trading, use AI to simulate the historical performance of different strategies.
This backtesting function can eliminate many blind attempts.

Of course, some people have played AI with "entertainment effects."
A user posted on Gate Plaza saying: "I set three strategies for AI, and as a result, AI chose the most conservative one."
Someone in the comments replied: "AI is more rational than you."
Although this comment is meant as a joke, 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 markets change too quickly, and AI also needs constant data updates.
So the best approach is actually: AI handles calculation, humans handle judgment.
This combination might be the standard configuration for future trading.
#Gate广场AI测评官
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