From Staring at Candlesticks to Training AI: Traders Are Evolving

If we divide the development of crypto trading into several stages, it could be understood roughly like this:
Stage 1: Manually watching candlesticks
Stage 2: Using indicators
Stage 3: Quantitative trading
Stage 4: AI-assisted trading

And right now, many users are experiencing Stage 4 through Gate.io's Gate Square AI Evaluator activity.

At this stage, the role of traders has undergone a slight shift.

In the past, traders were like "drivers," needing to control the steering wheel themselves. Now they're more like "coaches," needing to train AI.

Many AI evaluators constantly adjust prompts, strategy parameters, and data sources.

This process is somewhat like training a very intelligent but occasionally stubborn assistant.

For example:
You can have AI analyze the technical trends of a certain coin. You can also have AI monitor market sentiment. You can even have AI summarize daily market movements.

These abilities combined together are like having a round-the-clock researcher.

Of course, AI has its own limitations.

For instance, sometimes it becomes overly dependent on historical data, while the market is changing.

So many evaluators have summarized one key insight:

AI is good at discovering opportunities, but not necessarily at making final decisions.

This "human-machine collaboration" model is likely to be the mainstream of trading in the future.

And Gate Square's AI Evaluator activity is actually like a large-scale testing ground.

Everyone is testing AI while sharing experiences and posting profit screenshots.

Some joke that today's traders have three essential tools:

A computer. Internet. And an AI assistant.

If someday a trading floor is only filled with people adjusting AI strategies, perhaps we'll realize—

Trading methods have quietly entered a new era. #Gate广场AI测评官