Vibe quant borrows the idea "vibe coding", but for the kind of investing thoughts that usually just float around in your head. "Tech feels overheated." "Dividend stocks seem like they'd be calmer." "I bet boring companies do better than people think." The idea in natural language could be converted into a backtest that runs against years of real market data so you can see how it would perform, and grow your intuition about investing beyond rigid frame of formulas and numbers.
Why this is fun (and a little useful)
The freedom of testing whimsical ideas and developing them into valuable experience is great - like scribbling on paper and watching the result grow can spark more inspiration. Once the sandbox is ready, you play like a strategy game against real history.
A "vibe" turns into something testable the moment you can phrase it as a rule. Instead of "Apple feels undervalued right now," you'd say something like "buy AAPL after it drops 8% in a month, hold for 60 days." That's the same hunch, just specific enough that a computer can replay it across years and tell you whether the pattern was actually there.
Sometimes the answer is yes. Sometimes it's wildly no. Either way, it's a surprisingly fun thing to find out — and a lot cheaper than finding out with real money.
The part that surprised us
A backtest lets you sort of pre-feel that experience before any money is involved. Not just what the returns looked like, but how deep the drawdowns went, and how bumpy the ride was along the way. That's where most of the value lives, more than the headline return number.
Why "vibe" and not just "AI backtest"?
The "vibe" framing is on purpose. Most investing advice tells you to ignore your intuition — be rational, be disciplined, stop feeling things. That's hard. And honestly, your intuitions about markets aren't always wrong; they're just untested.
Vibe quant takes the intuition seriously enough to actually check it. Some of your vibes will turn out to be onto something. Others will get gently demolished by the data. Both outcomes are useful, and both are kind of fun in their own way.
What Porfie does, in plain words
Describe a method to build a portfolio, for example "top 5 large utility companies with reliable dividend payments" and a strategy in plain language, for example "rank by 6-month return; split into high (top 40%) and medium (middle 40%) groups; weight high group at 2× medium group". Porfie translates that into backtest code with tweakable parameters, runs against real market data and shows you the full picture: returns, the worst drawdowns, how the value moved, how the portfolio rebalanced and so on. From intuition to visual result in seconds.
Nothing to install, no spreadsheets, no Python. It's more like a sandbox than a tool — somewhere to try ideas without anything riding on them.
Try a vibe — see what the data says
Describe any investing idea in plain words. We'll run the numbers. It's a sandbox to explore in, not a financial recommendation.
Start exploring →A few common questions
Do I need a finance background to enjoy this?
Honestly, no. If you know what a stock is and roughly what "buy low, sell high" means, you're in. The app explains the rest as it comes up, and there's no quiz at the end.
Is this the same as paper trading?
Sort of, but faster. Paper trading simulates trades in real time without real money — you wait a long time to see results. Backtesting runs the same simulation on historical data, 10-year window experiment could finish in seconds. The trade-off is that the future isn't obliged to look like the past.
Where does the data come from?
We use real US stock prices and published financial facts. The numbers are apples-to-apples across time.
Can I use Porfie to manage real money?
Porfie isn't a brokerage and doesn't give financial advice — we just show you what the data does. If a backtest helps you think more clearly about your own choices, great. The actual decisions stay with you.