Not the obvious ones everyone already talks about, but the early stage - when a theme or ticker quietly starts appearing more and more in discussions before it becomes mainstream.
Most trading tools focus on price, indicators, or signals. But markets often move because attention and narratives build first.
So I’ve been experimenting with a small system that tries to track things like: • sudden increases in ticker mentions • how many unique participants are discussing a theme • whether discussions persist across multiple time windows • how quickly attention around a narrative grows
The goal isn’t to generate buy/sell signals, but to understand how market attention evolves over time.
Recently I’ve also been exploring ideas like: • narrative phases (emerging → expanding → peak → fading) • attention persistence across communities • whether shifts in attention tend to precede price movement
This project is currently an evolving research tool we call MindQuant AI.
The idea is that tools for understanding markets probably shouldn’t be static - because narratives and behavior in markets constantly change.
So I’m curious how others think about this.
If you were building a market intelligence system, what signals would you want it to track?