Before any trade, someone should do the homework — read the news, check the prices, ask “what am I missing?” Quantreno Research is that someone: an AI researcher that must show its sources, has a spending limit, and has no way to trade.
The same things a careful person would do — with three rules a person might break.
It re-checks every idea on the list regularly, and every report shows the date it was researched. When a report gets old, it's clearly labeled as out-of-date — you never mistake stale research for fresh.
One answer leads to the next question — the way real research works. It reads the news and social chatter, checks prediction-market odds, and looks at stock prices and their recent history.
Every single thing it looks at goes into a log: the question, the source, the answer, the cost. Its reports link their sources. If a claim can't be traced to a source, it doesn't get published.
Say the list has an idea about big economic announcements — the kind of day where one number moves everything. Here's the researcher working that idea, from first question to finished report.
Forecasters treat a December move as close to a done deal. Prediction markets imply it's far less likely. If both are really pricing the same question, both can't be right — and this week's numbers will start to settle it…
A good researcher doesn't forward you forty links. They write the one page that lets you think clearly in a minute: what's happening, why it might matter, and where the evidence is. That's what lands in the app — we call it a brief.
Every brief shows when it was researched, and old ones are clearly labeled as out-of-date. Reading one moves no money. It informs — you decide.
The desk’s current brief on every theme it follows — the actual research output, not a sample. Each one is dated, links its sources, and says so out loud when it has gone stale.
It holds no account, sees no balances, and has no way to place an order — the one who researches is never the one who trades. Its research spending is capped. Everything it looks at is logged. And when it thinks the list of ideas should change — something added, something retired — it can only suggest: someone on our team reviews and approves every change before you ever see it.
Keep going
The list of written-down trading ideas — we call them themes.
Open the app and read today's briefs — sources, dates, and all — before you put in a dollar.
LEN's incentive rate fell as industry price-cutting rose — dispersion favors scale; PHM/NVR prints (~Jul 22) test it
Read the briefas of Jul 20Dispersion has moved inside the winners: long NVO's oral-GLP-1 lead vs. crowded LLY looks like the fresher edge
Read the briefas of Jul 20No annual NDX contract on the board — event read matches spot near 29k; no stageable dislocation. Consensus.
Read the briefas of Jul 20July payrolls priced soft-but-positive (~70k median); desk read matches consensus — watch Thursday claims for cracks
Read the briefas of Jul 18Into Tesla 7/22: tape is sour post-Netflix, but delivery data skews the surprise risk to the upside
Read the briefas of Jul 16Year-end pair unpriceable this session: index implies ~83–88% 'higher', Kalshi KXINXY has no live quote
Read the briefas of Jul 16Sept 30 shutdown risk is deteriorating fast and prediction markets aren't even open to price it yet
Read the briefas of Jul 16Record Q2 sweep sold at the top: beats are beta in disguise — hedged residual favors BAC/C over JPM/GS
Read the briefas of Jul 16Momentum favors old energy on WTI's ~$72→~$79 supply-risk run — but the sell-side is already fading it
Read the briefas of Jul 16Mag 7 dispersion stretched: fade the crowded AAPL-safe-haven/NVDA-dump rotation; TSLA is the cleaner short into 7/22
Read the briefas of Jul 16Cool June CPI overprices dovish relief; energy-led drop reverses with Hormuz shut — 2026 hike risk still live
Read the briefas of Jul 16TSM -3.3%, NVDA -2.8% after record beats — read it as positioning, not demand; SOXS hedge earning its keep
Read the brief