My daily habits used to be quite simple. Open the market software to check the K-line, then brush the X to see the hot topics; When encountering the opening of the US stock market, the release of important data, or news related to the Federal Reserve, we need to switch to a few more pages. The longer you watch, the easier it is to discover a problem: ·Crypto itself is not an isolated market. ·When BTC is rising, are US stocks also strengthening? ·Have there been any significant fluctuations in technology stocks? ·How are ETF funds and indices performing? ·Has there been any change in macro data, interest rate expectations, or market sentiment? These pieces of information often do affect our understanding of the market. So when I saw Binance launch Binance Intelligence this time, what I was more concerned about was whether you could help me put together the information that was originally scattered on different pages to look at? This is also what I find interesting about Binance AI. It combines Crypto, indices, and US stocks ETF， And put Market Buzz, Macro Insight, Hot Sector and other information into the same AI market experience. For example, when I usually watch BTC, if there is a sudden significant fluctuation in the market, I may need to find it myself before: BTC Current Market Trend → US Stock Index → Nasdaq Technology Stocks → ETF → Market Hotspots → Macro News. What I hope to see now is that AI will first help me organize these relevant information, and then I will judge whether there is a relationship between them on my own. The difference between these two is actually quite significant. I don't need an AI to tell me whether BTC will rise or fall next, nor do I want to simplify market judgments into buying and selling orders. What I care more about is: ·What happened? ·What changes are worth paying attention to? ·What other assets and macro information besides Crypto may be worth observing together? This is also a scenario where Market Buzz, Macro Insight, and Hot Sector functions are more suitable. For example, if the market suddenly drops sharply, instead of just guessing the reason by looking at the candlestick, it is better to casually check whether there are synchronized changes in the market hotspots, macro information, and related sectors of the day. If there are significant fluctuations in the technology sector of the US stock market, they can also be observed together in the crypto market environment. The biggest value of this experience of "viewing multiple assets together" for me is not adding more information, but reducing the cost of switching tools back and forth. Of course, the boundaries should also be clearly defined here. Binance AI is an AI assistant built into the Binance App, providing 24/7 market information and analysis experience to eligible users. The functionality may vary depending on the region and jurisdiction. According to the current release pace, Binance AI will be first opened to eligible users in New Zealand and gradually rolled out globally. The more information it provides, the more we need to maintain our own judgment. After all, AI may also make mistakes or "illusions", and market information is not equivalent to investment advice. So I prefer to understand it as: I used to do information handling myself, but now I'm asking AI to help with the first round of organization. Ultimately, it is up to oneself to judge and assess. And this is actually an important direction for me to understand Binance Intelligence. Binance Intelligence is the overall AI layer, and Binance AI, Binance Agent OS, and Binance AI Pro correspond to different usage scenarios. Binance AI is more inclined towards daily market observations of ordinary users; Binance Agent OS is aimed at developers and builders, allowing them to integrate Binance capabilities into the AI tools they are currently using. As for Binance AI Pro, I am actually more concerned about the process it emphasizes: Clearly define the goal → set up workflow → backtesting/simulation → self approval → re run. The most important thing here is not that 'AI can execute', but that explicit user approval must be obtained before execution. The scope of authorization, dedicated Agenetic sub accounts, budget, and risk limits should be placed before capabilities. In other words, AI can help you handle more things, but it's not about letting AI bypass your authorization to manage funds for you. I think this may be the direction that financial AI is truly worth paying attention to. From "answering a question" to "continuously observing the market, organizing information, tracking changes", and further entering the workflow that has been authorized and tested by users. But throughout the entire process, the authority should be in the hands of the user, and the decision-making power should also be in the hands of the user. Returning to the original question: Why do we still need to look at US stocks and macroeconomics when looking at Crypto? Just because you watch more doesn't necessarily mean you'll earn more. But it's because the current financial markets are becoming increasingly interconnected. Crypto、 Stocks ETF、 Indices, macro data, and market sentiment often influence each other. If AI can put these originally scattered information into the same observation framework, I think it is more practical than simply adding a chatbot to the market page. At least for me: less information handling, more information organization; Search less back and forth, observe more together. This may be what interests me more about Binance Intelligence this time.