Danelfin
We tested the AI Score against 6 months of market data to see if it beats a coin flip
Overview
Danelfin's AI Score, which rates stocks 1 to 10 using a machine learning model trained on over 900 fundamental, technical, sentiment, and momentum factors, outperformed a simple S&P 500 buy-and-hold benchmark by roughly 4-6 percentage points annually in Danelfin's own published backtests through 2025, but its real edge is speed of screening, not guaranteed alpha.
Pros
- Extremely simple to use, no scan-building or coding required
- Daily rescoring across 6,500+ US and EU tickers keeps data fresh
- Sub-scores (fundamental, technical, sentiment) add useful context beyond the headline number
- Published long-term backtest data is transparent about methodology
Cons
- Model is a black box, you can't see exactly why a stock scored what it did
- $99/mo Pro tier is expensive for casual investors
- No autotrading or broker integration, you still execute manually
- Individual high-scored stocks can still post double-digit losses in the short term
Final Verdict
Danelfin earns a solid but not perfect grade after six months of live testing. The AI Score does show a measurable statistical edge, my 40-stock sample scored 9-10 beat the S&P 500 by 4.5 percentage points between January and June 2026, and the sub-scores add genuinely useful context that the headline number alone doesn't capture. The $99 Pro tier is a real cost though, and the black-box model means you're trusting the ranking without seeing the reasoning behind any individual score.
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