You were never priced out of the ideas. You were priced out of the process — the analysts, the argument, the discipline that runs before a fund moves money. investstar.ai rebuilds that process and runs it for anyone, free to start.
One stock, the full ten-analyst treatment, debated and decided. What a fund does before it puts on a position — run it before you do.
Scan a market against a trend playbook or a mean-reversion one — the same tape says two different things depending on what you ask it, and funds run both books. Either way it comes back as trade tickets: sized, levelled, and waiting on your go.
A classic screener across all global markets, preset strategies like undervalued growth and most-shorted, the 13F books of famous investors — or describe a screen in plain English and investstar.ai builds the filters. Send any result list straight into a Setups run.
Live quotes, fundamentals, and your holdings across as many lists as you keep. The equity pages behind every name carry financials, earnings, dividends, holders, news, and peer comparisons.
Earnings, economic releases, IPOs and splits, day by day. Know what reports this week before it moves the names you hold.
Add your positions and get a per-position exit review. investstar.ai grades what you already own on the same rules it used to recommend it — including the ones it would now close. Most retail tools are built to get you in. This one is also built to get you out. Part of the Enterprise plan.
Each evening the desk screens for setups, runs the top names, and lays out the buy and sell orders it would place. You decide whether to place them at your broker. Part of the Enterprise plan.
Put any run on a daily, weekly, or monthly schedule. Download any report as a PDF. The desk works the way your process does.
It has a research desk. Sector analysts build the numbers. Someone is paid to argue the short. A PM sits above them, sizes the position, writes down what would make them wrong, and owns the outcome.
→ That's an investstar.ai desk run. Ten analysts, a bull/bear debate, a verdict with an entry range, a target and an invalidation level.
It has a systematic side. A separate team screens the whole market against written playbooks, so the fund isn't waiting for a good idea to wander past.
→ That's screen trending and screen reversion. The same tape read two ways — momentum and mean reversion — because funds run both books, and both come back as trade tickets: sized, levelled, ready or not.
It has a risk committee. Every position already on the book gets re-argued on a schedule. Nobody gets to hold something just because they were right about it once.
→ That's portfolio health, on the Enterprise plan. Per-position exit reviews, graded on the same rules that recommended them — including the ones investstar.ai would now close.
It has a trading desk. Ideas become orders before the open: a price, a size, and an exit, written down while nobody is excited.
→ That's daily orders, on the Enterprise plan. Each evening the desk screens for setups, runs the top names, and lays out the buy and sell orders. You decide whether to place them.
None of this is a secret. It's just expensive: six-figure data contracts, a research budget, and a room full of people whose job is to disagree with each other before money moves.
Retail gets the opposite. A chart, a headline, and a chatbot that agrees with whatever you typed.
investstar.ai runs the process. Same structure, same discipline, same paper trail — free to start.
Every analyst does one job. The fundamentals desk can't wave away a broken chart, and the technical desk can't talk past a debt number. Nobody protects a thesis they don't own.
Nothing gets decided on one opinion. A bear is paid to attack the bull's weakest assumption, and the transcript stays in the report — the way a real investment committee leaves minutes.
Every verdict carries the level at which it's wrong, and any run can repeat on a schedule. Being right once doesn't buy a permanent seat in the book.
That's the whole input. No spreadsheet, no terminal, no onboarding call.
Technicals, fundamentals, analyst estimates, news, money flow (insiders, institutions and short sellers), the options market, and macro. Each one only does its job, so none of them can wave away an inconvenient number to protect a thesis.
Two adversarial agents build the strongest case each way and attack the other's weakest assumption. The transcript is part of the report — the same way a real investment committee leaves minutes.
Verdict, entry range, target, invalidation level — and an explicit note on what the losing side got right.
Open any finished run — a desk verdict, a screen, a portfolio review — and interrogate the fund manager about it with InvestGPT. "Why did you overrule the bear on margins?" "What would turn this into a buy?" "Re-run this assuming rates stay higher for longer."
Institutional investors don't read research. They cross-examine the analyst who wrote it. Now you can too.
Credits, not seats. You pay per run, not per month — a desk run costs less than lunch. The research this imitates is sold in six-figure annual contracts to people who already have a hundred million dollars. That isn't because the process is expensive to run. It's because of who it was built for. Your first runs are on us.
Meaning the structure of the work, not a claim about outcomes. Specialised analysts, an adversarial review step, systematic screens run off written playbooks, and scheduled re-review of open positions. That's what makes a research process institutional. investstar.ai reproduces the process; it does not reproduce a fund's capital, execution, or track record — and it makes no claim about returns.
No. investstar.ai is an education and research tool. It does not know your circumstances, it does not manage money, and it can be wrong with great confidence. Every verdict is a starting point for your own work, not a substitute for it.
No. Nothing leaves your workspace. Screens produce trade tickets; you decide whether they ever become orders.
Because a single model asked "is TICKER a buy" will find reasons to say yes. Splitting the work forces each concern to be argued on its own terms, and the debate step exists specifically to surface the argument the bullish version would have skipped. Disagreement isn't a feature bolted on — it's the point.
Because momentum and mean reversion are opposite readings of the same price action, and no single screen can hold both. Funds run them as separate books. investstar.ai keeps them separate too, and lets you see where they disagree.
Your positions, runs, and reports live in your own workspace. They are not used to train anything and are not shared across accounts.
See pricing. Short version: you'll get a real feel for it inside your free credits.
investstar.ai is operated by a Labuan company incorporated in Malaysia.