About
A terminal that reads the news, not just the price
Most tools show you what a price did. Quant Intel is built around the harder question — why it did it, and whether the move has legs. News, prices and an AI read on both sit on one screen, updating continuously, so the context arrives at the same time as the move.
01Everything on one screen
Traders lose more to context-switching than to bad charts. Flipping between a news site, an exchange and a spreadsheet means the story and the price never quite line up in your head.
Quant Intel collapses that into a single view: the headline feed on the left, the chart in the middle, live quotes on the right. Each column scrolls independently, so reading a story never costs you your place in the tape.
02Live data, not a demo feed
Pulled from Yahoo Finance's public feeds across stocks, tech, finance and crypto. Refreshed every few minutes, sorted newest first, with anything older than a week dropped.
Binance public market data, refreshed every twenty seconds, with the change window switchable between 1h, 24h and 7d.
Full TradingView charting on exchange data, with the drawing tools and indicators you already know.
Every headline carries its publisher and links straight back to the original article. Nothing is paraphrased or laundered.
03Analysis that produces a decision, not a paragraph
Plenty of tools will summarise the news for you. A summary still leaves you with the work: is this a market to lean into, or one to fade?
Auto Analysis answers that in a structured form you can act on and compare across days:
- ·A sentiment index from 0 to 100 on the familiar fear-and-greed scale, so today's reading means something next to last week's.
- ·A regime call — trending or ranging — with a confidence figure, because the same setup calls for opposite tactics in each.
- ·A directional bias and the matching playbook: follow the move, or fade the extremes.
- ·The drivers behind it, named explicitly, so you can audit the reasoning instead of trusting a black box.
04Why the AI layer earns its place
The model is not asked to predict a price. It is asked to do the thing language models are genuinely good at: read a large volume of text quickly and judge its tone and coherence. Dozens of headlines across four sectors, weighed in seconds.
- ·Grounded. The model is constrained to the headlines the terminal actually fetched, and instructed not to invent events. Its drivers are traceable to rows you can see in the feed.
- ·Dynamic. A static sentiment gauge recalculates on a schedule. This one re-reads the current tape on demand — press Re-run after a burst of news and the judgement is rebuilt from what just landed.
- ·Consistent. The same structured output every time makes readings comparable, rather than a differently-shaped essay on each run.
- ·Fast. The read you would get from an analyst working through the morning's headlines, available whenever you want it.
05What we don't claim
We would rather be trusted than impressive. The model reads headlines — it does not see order flow, positioning or your portfolio, and no sentiment reading forecasts a price. Treat Auto Analysis as a fast, structured second opinion on the news, and keep the decision yours. Nothing on this site is investment advice.