How to Read AI NASDAQ Signals: A Critical Look

When you see a signal the first question is not "buy or sell?" but "why should I trust this?" Here is a checklist.

1. Who or what produces the signal?

Are the rules explained, or is "AI" a black box? If a system cannot be explained you cannot know when it breaks.

2. Is there evidence?

Ask for out-of-sample and live (paper or real) records that include costs. Screenshots of cherry-picked winners are not evidence. See the Backtesting and Paper Trading Guide.

3. Is it actionable?

Is the stock liquid? Wide spreads, thin volume and opening gaps can erase a paper gain. Could you actually have traded at that price when the signal arrived?

4. Is there a risk limit?

A signal without a stop level and a position-sizing logic is incomplete.

5. What is the commercial relationship?

Someone who earns from selling signals has a reason to inflate results. Check their legal status and regulatory registration; in some countries giving investment advice requires a licence.

Conclusion

A signal is an idea, not proof. Do your own verification and never risk more than you can afford to lose. For the broader picture see the Algorithmic Trading Guide.

This article is for education only and is not investment advice. Past results do not guarantee future results; trading carries a risk of loss.