Overview
Danelfin is an explainable-AI stock analytics platform that rates US-listed stocks and ETFs with an AI Score from 1 to 10, indicating the probability of beating the market over the next three months. Its AI analyzes around 10,000 features per stock daily across 600+ technical, 150+ fundamental, and 150+ sentiment indicators. Alpha Signals make the scoring transparent rather than a black box.
Our take
Danelfin scores stocks with an AI model and publishes those scores, with a limited free tier. Scoring frameworks can be a useful screening input when their methodology is transparent and their track record is verifiable. Neither condition is commonly met in this category, so the questions to ask are about methodology and out-of-sample evidence.
Worth it if
Investors who want an additional screening input alongside their own research process.
Look elsewhere if
Anyone treating a score as a recommendation — nothing here is regulated advice.
✨ Features
AI Score
Rates each stock and ETF from 1 to 10 based on its probability of outperforming the market.
Explainable Alpha Signals
Breaks down the factors driving each score so users understand the reasoning.
Massive Daily Analysis
Processes roughly 10,000 features per stock per day across many indicators.
Best Stocks & Screeners
Surfaces top-rated stocks and ETFs and lets users filter from AI rankings.
⚖️ Pros & Cons
Pros
Cons
💰 Pricing
Free
Free
- Basic AI Score access
- Limited to ~15 stock scans per day
- Explore core features
Plus
$22 /mo
- $19/mo billed annually ($199/yr)
- Full AI Scores and trade ideas
- 14-day free trial
Pro
$59 /mo
- $52/mo billed annually ($499/yr)
- CSV exports, priority support, broker sync
- Advanced features and full access
Categories
❓ Frequently Asked Questions
What does an AI stock score actually measure?
A model's assessment of features associated with historical outperformance, which is a prediction about probability rather than a forecast. The critical questions are what features it uses, over what period it was trained, and whether performance has been measured out of sample. A score without that context is a number without meaning.
Is this financial advice?
No, and the tools say so because regulated advice requires licensing they do not hold. That has practical consequences: no suitability obligation, no fiduciary duty, and no recourse if the output is wrong. If you need advice rather than information, it should come from someone regulated where you live.