It's not about speed; it's about context and verification. A bot can tell you that "Company X" was mentioned in a positive tweet. It cannot tell you that the person tweeting is a known paid shill, that their "news" is a rehash of a month-old announcement, or that on-chain data shows insiders are selling, not buying.
@trade_rumour adds this critical layer of human due diligence. The crowd acts as a distributed network of investigators, quickly:
· Checking a source's history.
· Corroborating with other data points (e.g., "Is there unusual options activity?" or "Is a whale accumulating?").
· Providing sentiment (e.g., "The experts in this chat are skeptical.").
This turns raw, unverified data into weighted, actionable intelligence. You're not just getting the news; you're getting the community's diagnosis of the news.
What's a more valuable signal: a positive news headline, or data showing smart money is acting on that headline?
