StockRisker
Build stock portfolios based on risk, not hype
I’ve been working on a side project called StockRisker — a stock portfolio optimizer built around a simple idea:
Risk shouldn’t just mean “riskier stocks”.
It should control how concentrated and asymmetric a portfolio is allowed to be.
Most tools I tried treat risk as a label:
Low risk → safe stocks
High risk → risky stocks
In reality, risk tolerance usually affects:
• how concentrated you’re willing to be
• how much sector exposure you allow
• how strict diversification constraints are
So in StockRisker, risk directly controls:
• max allocation per stock
• sector caps
• penalty strength for concentration
Higher risk doesn’t mean “more dangerous stocks” — it means fewer constraints and more asymmetric portfolios.
This is not an AI picker and not a “beat the market” tool.
It’s more of a constraint-based optimization experiment focused on transparency and tradeoffs.
Built with:
• TypeScript / Node.js
• a modular optimizer (risk mapping → constraints → scoring)
• curated stock universes
I’d love feedback from anyone who’s built:
• optimization engines
• fintech tools
• decision systems with explainability concerns
Live here if you’re curious:
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