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Good evening everyone. I want to discuss a commonly overlooked issue: regarding certain oracle projects. If your research is still at the level of "AI Oracle, RWA, prediction markets, DeFi narratives," honestly, what you're studying is market sentiment, not true value.
Don't get me wrong. Narratives can indeed attract attention, but attention doesn't translate into cash flow; hype can create price volatility, but volatility itself doesn't tell a story of demand. Whether an infrastructure token can survive a bear market cycle depends not on how many stories are told, but on whether its demand curve is truly growing—simply put: Are there more and more applications and scenarios that are increasingly frequently paying for its data and security?
Let's expand this concept a bit: Are there more and more applications, in more and more scenarios, calling on this service more frequently, and willing to pay more for higher-quality data? If you accept this definition, your research focus will automatically shift from "how to view price fluctuations" to "what exactly is the protocol selling, to whom, and whether its sales are growing."
This is actually an upgrade in the research framework. From monitoring price charts to monitoring protocol cash flow and security budgets—because oracle services, on the surface, sell data, but in essence, they sell security guarantees. If you don't look at the security budget, you won't see its true moat.
Some may ask, how does token value relate to demand? My suggestion is: don't worry about perfect value capture formulas for now. First, look at the simplest and most direct three-stage chain—call volume → fee income → security investment. Once this logic is clear, other judgments become easier.