From Staring at K-lines to Training AI, Traders Are Evolving

If we divide the development of crypto trading into several stages, it could be understood this way:
Stage 1: Manually staring at K-lines
Stage 2: Using indicators
Stage 3: Quantitative trading
Stage 4: AI-assisted trading

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

In this stage, the role of traders has changed somewhat.

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 a bit like training a very smart but occasionally stubborn assistant.

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

When combined, these capabilities are like having a 24/7 research analyst.

Of course, AI has its own limitations.

For instance, sometimes it over-relies on historical data, while the market is changing.
So many evaluators have concluded an insight:
AI is good at discovering opportunities, but not necessarily at making final decisions.

This "human-AI collaboration" mode might become the mainstream of future trading.

In fact, Gate Square's AI Evaluator program is like a large-scale experimental field.
Everyone tests AI while sharing experiences and posting profit screenshots.

Some joke that modern traders have three essential tools:
A computer
Internet
And an AI assistant

If one day the trading floor is filled only with people adjusting AI strategies, perhaps we'll realize——
The way of trading has quietly entered a new era. #Gate广场AI测评官