Launching today
AInvestor
Quantitative stock research with scoring & backtesting
5 followers
Quantitative stock research with scoring & backtesting
5 followers
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.
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!