Modern AI models can process images, not just text — including chart images. That raises a natural question for trading: can a vision model actually "read" a chart, and does that add anything beyond feeding it the raw price numbers? The honest answer is nuanced.
What vision adds
A chart is a dense visual summary — structure, trend, the shape of price action — that a model can interpret holistically, much like a human glancing at it. Vision can catch gestalt context that's awkward to encode as numbers: the overall posture of the session, where price sits relative to visible levels, the visual character of a move. It's a second lens, complementary to the numeric data.
Where it helps and where it doesn't
Vision helps as contextual interpretation — a qualitative read layered on top of hard data. Where it doesn't help: precision. A model shouldn't be reading exact prices off pixels when the actual numbers are available; that's slower and less reliable than using the data directly. Vision is for the picture, not for measurement.
Use the numbers for precision. Use vision for the thing numbers are bad at — the overall shape of the moment.
In a real system
The sensible role for vision is as one input among several — a way to add human-like structural context to a decision that's still grounded in exact data and executed by deterministic rules. That's how a system like NoVo uses AI: to perceive and contextualize market structure as part of its read — never to replace the hard numbers or to freelance the execution. Intelligence informs the picture; the mechanics still run the trade.