I used to publish market analysis based on intuition and my feel for the chart. I also worked really hard on it, but nobody took it seriously. Later, an old fan messaged me privately and said: “Everything you said is right, but I don’t know what makes you so confident.” That one sentence woke me up. After that, I set two rules for myself: every judgment must have supporting evidence, and every viewpoint must be consistent. Today, I’ll break down three methods behind these two rules.
First, attach a “data foundation” to every judgment so the content can stand up to follow-up questions.
“Feeling like it will rise” doesn’t convince anyone. But if “on-chain data, funding rates, and trading volume all point in this direction,” then people will believe it. You don’t need to pile on jargon—pick one or two key data points that clearly explain the issue. Analyses backed by data have completely different persuasive power, and readers are also more willing to treat your content as something worth saving as a reference.
Second, set a “persona label,” and stick with it.
If you’re a “spot DCA (dollar-cost averaging) advocate,” then talk properly about DCA; if you’re a “risk-control maniac,” then take stop-losses to the end. Don’t be bullish today, bearish tomorrow, and change your style every day. The moment readers feel you’re inconsistent, your trust goes to zero. Better to be a little more conservative than to let your persona collapse. Once you establish your label, readers know who you are and why they should follow you.
Third, beyond writing, do more live streams and join voice/video call-ins to turn cold traffic into warm interaction.
Writing is separated from the screen. Live streams and call-ins are real. When the market gets intense, open a live stream and talk for a bit—answer fans’ questions and add some call-in interaction. That brings you closer than posting ten articles. Fans you’ve chatted with in the live room are the most “sticky.” In the future, no matter what you post, they’ll be more willing to watch.
In the end, if you do content for a long time, you’ll realize that what’s truly valuable isn’t any one viral hit—it’s that “what you say has evidence, and the person you are is dependable.” Data makes people believe you. Your persona makes people remember you. And interaction leaves a lasting impression.
When you usually do analysis, do you rely more on intuition or more on data?
#创作者学院
First, attach a “data foundation” to every judgment so the content can stand up to follow-up questions.
“Feeling like it will rise” doesn’t convince anyone. But if “on-chain data, funding rates, and trading volume all point in this direction,” then people will believe it. You don’t need to pile on jargon—pick one or two key data points that clearly explain the issue. Analyses backed by data have completely different persuasive power, and readers are also more willing to treat your content as something worth saving as a reference.
Second, set a “persona label,” and stick with it.
If you’re a “spot DCA (dollar-cost averaging) advocate,” then talk properly about DCA; if you’re a “risk-control maniac,” then take stop-losses to the end. Don’t be bullish today, bearish tomorrow, and change your style every day. The moment readers feel you’re inconsistent, your trust goes to zero. Better to be a little more conservative than to let your persona collapse. Once you establish your label, readers know who you are and why they should follow you.
Third, beyond writing, do more live streams and join voice/video call-ins to turn cold traffic into warm interaction.
Writing is separated from the screen. Live streams and call-ins are real. When the market gets intense, open a live stream and talk for a bit—answer fans’ questions and add some call-in interaction. That brings you closer than posting ten articles. Fans you’ve chatted with in the live room are the most “sticky.” In the future, no matter what you post, they’ll be more willing to watch.
In the end, if you do content for a long time, you’ll realize that what’s truly valuable isn’t any one viral hit—it’s that “what you say has evidence, and the person you are is dependable.” Data makes people believe you. Your persona makes people remember you. And interaction leaves a lasting impression.
When you usually do analysis, do you rely more on intuition or more on data?
#创作者学院