Deepvue AI Terminal: The AI Stock Trading Platform That Already Knows Your Watchlists and Screens

How It Differs From a General Purpose AI Chatbot

Generic assistants need every prompt to start with a preamble: here is my watchlist, here is what I am looking at, here is what I care about. The Terminal starts with that already loaded.

The underlying models are not magic. The gain is that the distance between a question and an action collapses when the AI is built into the tool holding your data.

Who the AI Terminal Is For

AI for traders works best where a routine already exists. If your day involves flipping through a screen, spotting a gap, asking why it moved, checking whether a theme is real and building a focus list, this is aimed at you. AI for traders without a process just produces faster confusion.

• ✓Swing traders who need a catalyst explained in seconds rather than after ten minutes of searching.
• ✓Position traders checking whether the story behind a multi month hold is still intact.
• ✓Breakout traders who want theme breakdowns of a screen or watchlist to see where money is flowing.
• ✓CANSLIM traders who want earnings reports summarized rather than read line by line.
• ✓Traders with full time jobs, where the difference between a 45 minute routine and a 15 minute one decides whether the routine happens at all.

Browse the Deepvue for hub to see the workflow that matches how you trade.

Smart Model Routing

Different questions have different shapes. Breaking news needs a model with live research, a long filing needs a long context reasoner, and a valuation comparison needs a model good with numbers.

Your prompt routes to whichever model is strongest for that question, and the Terminal does the picking. You get better answers than any single model gives across all of them, with no separate AI subscription alongside your platform bill.

Every Ticker Is a Button

Answers are interactive, which is the detail that changes the workflow most, because research never dead ends in a block of text.

• •Symbol chips with logos. Click one to load the chart, or right click for Quick Access: chart, watchlist, alert, screener.
• •One click list capture. When a response names five interesting stocks, one button collects all of them into an existing or brand new watchlist.
• •Save any reply as a prompt. Right click a response and choose Save as Prompt to turn a good result into a reusable one.
• •Copy clean. One click strips markdown and citation numbers so the text pastes straight into Slack, a spreadsheet or your trade journal.

Open a Deepvue account and ask it about the last stock that gapped on you.

How to Add It to a Dashboard

It loads straight onto its start screen, ready for a question, with a New Chat button whenever you want a clean thread.

Or Open It as a Side Panel

Working inside the Screener or Watchlist module? Click the AI icon at top right and the Terminal opens as a side panel in place of the data panel, or press Shift plus T to toggle it.

Two shortcuts worth learning. Shift plus question mark opens the full shortcut list. Shift plus spacebar selects the stock you are on while screening, so you can flip through a screen, tag the interesting names without reaching for the mouse, and add the selection to a watchlist at the end.

Dashboard Setups Worth Building

• •Terminal plus chart. Both in the same color group so a symbol chip you click loads instantly beside it.
• •Post market movers. A screen for post market gappers, a chart and the Terminal, so you can ask what is behind any move the moment you spot it. Top Movers works the same way with the catalyst already written.
• •Morning brief. The Market Brief beside the Terminal for follow up questions on anything in it.
• •Rotation. The Theme Tracker for the top down view and the Terminal for the bottom up, so you can cross check where rotation is showing up.

Start With a Built In Prompt

Click one of the starter prompts on the home screen. They are grouped by intent: what sectors are leading, what the macro picture looks like, what themes are hot, how the current stock’s earnings went, what the company does. Each runs against the symbol you are viewing, so the same click produces a different answer on every name in a screen.

Situational awareness is the one to build a habit around. Run it premarket and it pulls together what is gapping, the key headlines and the market context you need before the open, in one output rather than five tabs.

Create and Save Your Own Prompts

When you write a prompt that works, save it. The Create Prompt dialog has two fields: a short label you click later, and an optional full instruction behind it. Use the symbol placeholder anywhere you want the current ticker inserted.

That structure is what makes the library powerful. The saved prompt can be a page of instructions on sections, tone, depth and formatting, while the thing you click is a four word label. Build a handful around your routine and you have a research playbook that runs on one keystroke.

Right Click a Gap to Ask Why It Moved

This is the workflow Deepvue’s own team uses most. See a gap or volume spike on a chart, right click the bar, choose Ask Deepvue AI, and seconds later you have the catalyst behind that specific move.

It works on historical bars too, which makes it a study tool as much as a live one. Working through a Model Book move from years ago, right clicking the gap day surfaces what drove it without hunting through old news archives.

Ask the Terminal About Deepvue Itself

The Terminal is trained on Deepvue’s knowledge base, so it explains the platform’s own concepts. Ask what an oops reversal is, or how relative measured volatility works, and you get a definition grounded in how Deepvue implements it rather than a generic web answer. For newer subscribers that shortens the learning curve considerably.

It Starts by Refusing to Invent an Answer

The opening question was deliberately vague: what are the five best stocks to short right now. No sector, no criteria, no timeframe, which makes it a good test of whether a tool will tell you what you want to hear.

It declined to name a list. It explained that the available evidence did not support a clean short thesis, flagged a few names that merely looked weak while stating plainly this was not a validated list, and asked for the missing input.

It also proposed the framework it would use: weak fundamentals, downward earnings revisions, poor relative strength, broken charts, crowded long positioning. Then it asked for a sector, style or market cap range. For a research tool that behavior is the feature. An answer that admits what it cannot support beats a confident list assembled from nothing.

One Line of Context Changed Everything

The follow up simply named a sector. That was enough. It returned five candidates, each with a one line reason grounded in a specific signal, added runners up, and separated positioning risk from fundamental pressure, noting where timing mattered most. Then it offered the next step.

Say Yes and You Get a Structured Sheet

Accepting produced a table with columns that map to how a trader thinks: stock, thesis, entry idea, catalyst to watch, invalidation. The invalidation column is the important one. Every row states the condition that would prove the idea wrong, the part most AI output leaves out.

Then a Trade Plan and a One Page Sheet

The next turn produced a full trade plan per name, with setup, trigger, stop zone, target zone and best use for each.

One more turn condensed it into a single reference sheet with entry trigger, stop, first and second targets and best use per name, followed by execution rules, sizing guidance and a priority order. Every recognized ticker is still a clickable chip, and one button drops the set into a watchlist.

What That Chain Demonstrates

• ✓The follow ups do the work. Each answer ends with a concrete offer, so you get more structured output by saying yes rather than by writing better prompts.
• ✓Vague in, questions out. Rather than inventing an answer, it asked for the one input that would make a real answer possible.
• ✓Specificity compounds. One line of context turned a refusal into a ranked list, then a thesis table, then a trade plan, then an execution sheet.
• ✓You stay the decision maker. Every step is a proposal with stated invalidation conditions, not an instruction.

Try Deepvue and run your own version of that chain tonight.

Prompt Patterns Worth Copying

• •Earnings deep dive. Four sentence summary, then EPS growth, sales growth, margins, guidance and new products, each in its own section.
• •Company story. What the company does in plain English, its primary themes, tailwinds, headwinds and what to watch. Ideal for an unfamiliar name off a screen.
• •Catalyst investigation. A ticker and a specific date, asking what drove the move, remembering the news often lands the evening before the gap.
• •Situational awareness. Ask it to act as a coach before the open: what the tape is doing, whether breakouts or pullbacks are working, and what would change that read.
• •Theme breakdown of a list. Tag a screen of stocks up on volume and ask which themes are represented and which names carry each one.