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AInvestor
Quantitative stock research with scoring & backtesting
AInvestor is a quantitative investing platform that helps investors research stocks using data, valuation models, scoring systems, and historical backtesting. Instead of relying on ad-hoc analysis, AInvestor applies a structured framework that combines DCF, EPV, trading multiples, financial health, competitive position, macro risk, and risk-adjusted logic into one stock scoring system.
About AInvestor on Product Hunt
“Quantitative stock research with scoring & backtesting”
AInvestor was submitted on Product Hunt and earned 0 upvotes and 1 comments, earning #1 Product of the Day. AInvestor is a quantitative investing platform that helps investors research stocks using data, valuation models, scoring systems, and historical backtesting. Instead of relying on ad-hoc analysis, AInvestor applies a structured framework that combines DCF, EPV, trading multiples, financial health, competitive position, macro risk, and risk-adjusted logic into one stock scoring system.
On the analytics side, AInvestor competes within Fintech, Investing and Finance — topics that collectively have 79.7k followers on Product Hunt. The dashboard above tracks how AInvestor performed against the three products that launched closest to it on the same day.
Who hunted AInvestor?
AInvestor was hunted by Ivan Knezevic. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AInvestor including community comment highlights and product details, visit the product overview.
Hey,
I’m Ivan, creator of AInvestor.
I built AInvestor because I wanted a more systematic way to analyze stocks — something between traditional stock research and quantitative investing.
Instead of focusing on a single metric, the platform combines valuation models, financial quality, risk signals, and portfolio logic into a structured scoring system. I also added a backtest calculator so users can test different periods against the S&P 500.
The goal isn’t to promise a “market-beating formula,” but to make investing more transparent, measurable, and data-driven.
I’d genuinely love feedback on:
• UX / usability
• Feature ideas
• Missing metrics or research workflows
• What would make this useful for your investing process
Happy to answer questions all day — thanks for checking it out!