Recommend, Then You Trade
Why Fundautic builds every order and never sends one without you.
The easiest product we could have built is an AI that just trades. Point it at a strategy, connect a brokerage, walk away. Wake up to a portfolio that rebalanced itself overnight while you slept.
We deliberately did not build that. Not because we couldn't, but because it's the wrong answer for the person Fundautic is for: someone running a real thesis who wants leverage, not a driverless car.
So the loop is always the same. Fundautic recommends. You approve. Then it trades.
The one button we refuse to add
There is no "let the AI run my money" switch, and there never will be.
An AI that trades on its own has to be right every time, silently, with your capital, and you find out after the fact. That's a spectacular way to turn a model's bad afternoon into a tax bill and a hole in your book. It also quietly takes the one thing you actually came here for: the decision. You didn't build a thesis so an algorithm could overrule it at 2 a.m.
Robo-advisors already occupy the "hands off the wheel" corner, and they're honest about the trade: no thesis, no conviction, no trade for you to approve because there's nothing worth approving. We're the opposite bet. Your judgment is the product. Our job is to make it faster and safer to act on, not to replace it.
What "recommend" actually means
An approval gate is only worth anything if the thing you're approving is real. A vague "consider trimming tech" is not a recommendation, it's a horoscope.
So when Fundautic recommends, it hands you the exact orders: this many shares of this name, this many dollars, to move you from where you are to your target. A rebalance, a capital deployment, an AI review's trade plan, a full drawdown to cash, all of it arrives as a concrete order batch you can read line by line, with the reasoning attached.
And before you ever see it, the batch runs the guardrails: no wash sales, no oversized drawdowns, no deploying cash you've already spent. You're not being asked to trust a black box. You're being handed a checked, itemized plan and a button that says not yet until you say otherwise.
Informed consent, not a rubber stamp.
Why the approval gate is the product
Three things happen in that pause between "recommend" and "trade," and every one of them matters.
Conviction stays yours. The model can surface a name, argue a trim, flag a broken thesis. It cannot decide you were wrong. On a portfolio you built to express a view, that veto is the whole point.
Accountability stays clean. You saw the orders. You approved them. There is no "the AI did it" to hide behind and, more importantly, no surprise to explain to yourself later. Every fill traces back to a decision you actually made.
Timing stays in your hands. You choose when to send it, around your cash, your tax lots, your read on the day. The machine did the math; you kept the clock.
Take any of those away and you've rebuilt a robo-advisor with extra steps.
What you're not giving up
Here's the part people expect to be the catch, and isn't: keeping the decision does not mean keeping the drudgery.
You are not doing rebalance arithmetic in a spreadsheet. You are not reconciling NAV by hand or wondering whether you double-counted a deposit. You are not manually pulling research on forty names the night before earnings. All of that, the tedious, error-prone work between decisions, is done for you and checked.
What's left on your plate is the only thing that was ever really yours: looking at a clean, vetted plan and deciding yes or no.
Who this is for
If you want to hand your money to an algorithm and forget it exists, a robo will do that for less. That's a legitimate choice, just not this one.
Fundautic is for the investor who has a view worth running well and wants a desk behind them, not a chauffeur in front of them. Research, orders, guardrails, and accounting handled; the decision, always, still yours.
Wire up an Alpaca account, build a fund around your thesis, and watch the first order batch land. Then do the most important thing in the whole product: read it, and decide for yourself.
Run your portfolio like a fund.
Targets, AI research, and disciplined execution; and total control.
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