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Last analysis · just now schema · etf-analysis.v1
How it works

When you click Analyze, your tickers and preferences go to the same AI model that powers the AI Lab — Kimi K2 via NVIDIA's free inference tier. The model uses its training-cutoff knowledge of each ETF (expense ratio, holdings, sector exposure, dividend yield) to estimate the comparison and produce a recommendation tailored to your time horizon and risk tolerance. Your inputs and the most recent analysis are stored in your browser under aiapp.etf.v1 — nothing is uploaded anywhere except the model call itself.

The overlap matrix shows estimated holdings overlap between each pair of ETFs (low = diversified, high = redundant). The fit score on each ETF card scores how well that specific ETF matches your stated profile. The allocation suggestion in the recommendation always sums to 100% and uses only tickers you provided.

Honest caveat: this is informational only, not investment advice. ETF data may be 6–18 months out of date — verify expense ratios, AUM, and current holdings on the issuer's site before making any decision. Never make actual investment decisions based solely on this output. Speak to a fiduciary advisor for anything substantial.