Many people are interested in quantitative robots but also have doubts. The key is how to judge whether a project is reliable. I think it can be viewed from these dimensions.

First, be cautious of those who boast excessively. Claims like "guaranteed profit" or "daily returns of a certain percentage" are not something legitimate developers would say. Anyone knowledgeable knows that trading inherently involves risks, and those who advertise this way are either scammers or fools.

Second, ask a few hard-core questions clearly. For example, what is the logic of the strategy—under what market conditions does it make money, and under what conditions does it incur losses? This reflects transparency. Then ask how risk control is implemented—what is the maximum single-loss amount, how are consecutive losses managed? This shows whether the developer truly has risk awareness. Another particularly important point is who guarantees the security of your API keys—whether they could be misused, which directly relates to fund safety.

Finally, don't forget to check the compliance statement. Reliable robots operate strictly according to the exchange's API usage terms and explicitly declare to reject any market manipulation.

To put it simply, a truly professional developer of quantitative robots is more like a rigorous fintech engineer. They use technology to create automated tools within a rule-based framework. Their value lies not in creating trading myths but in disciplined execution, improving efficiency, and effective risk management. This is the correct way to approach quantitative robots.