In traditional financial analysis, price is often described as a “reflection of information.” However, in the crypto market, “information” is not a single dimension—it is often disseminated in the form of narrative, amplified by emotion, and realized through trading behavior.
This means that price is not always first driven by data and then by market reaction; more often, narrative focuses attention, emotion drives position reshuffling, and only then do observable results appear on-chain and in transactions.
The market generates massive amounts of information every day, but only a small portion is converted into trading behavior.
The key to “which information gets traded” is not just the facts themselves, but the narrative framework. Narrative organizes scattered events into a logical structure that can be communicated, believed, and acted upon—for example, “a sector enters a policy-friendly period” or “a technological route will become the next main theme.”
Once a narrative forms, capital will preferentially flow to assets highly relevant to it, leading to periodic valuation repricing.
Whether a narrative translates into price depends on the emotional state.
Emotion essentially changes the “market interpretation function,” not the event itself. Therefore, narrative research without considering emotional states often leads to directional bias.

Three structural features of the crypto market make narrative-driven trading stronger:
These three factors mean that narrative in the crypto market is not only the “language for explaining prices,” but also the “mechanism for triggering trades.”
For subsequent quantifiable modeling, this course adopts a four-stage chain:
The value of this chain lies in breaking down “subjective perception” into observable nodes. Later lessons will build data indicators and scoring methods around these four stages.
The most common practical mistake is mapping news events directly to buy/sell signals.
The same news can produce opposite results in different market conditions for reasons such as:
Therefore, single-point information cannot be traded directly; it must be judged together with “emotional temperature + on-chain verification + position structure.”
The goal of narrative research is not to answer “is this story true,” but “can this story be converted into sustainable capital behavior.”
Tradable narratives usually have three characteristics:
Missing any one of these significantly reduces the trading value of a narrative.
This lesson accomplished three basic tasks:
The next lesson will move into the data layer to systematically break down the signal value and noise characteristics of news, social media, and on-chain behavior, forming a data foundation for subsequent scoring models.