Danelfin

Positioning

Danelfin is a stock analytics platform for retail investors that compresses a lot of quantitative analysis into a single number: the AI Score. The score runs from 1 to 10 and, per the company, expresses the probability that a stock or ETF beats its benchmark over the next three months — the S&P 500 Total Return index for US listings, the STOXX Europe 600 for European ones. Scores of 7 to 10 map to Buy/Strong Buy signals, 4 to 6 to Hold, and 1 to 3 to Sell/Strong Sell. The company, which won a "Best Financial Research Company" mention at the Benzinga Global Fintech Awards and displays a Global Fintech Awards 2025 badge, covers US-listed stocks and ETFs plus main European stocks.

What that means in practice: instead of reading filings and building spreadsheets, you browse ranked lists of stocks by expected outperformance, drill into per-stock reports that decompose the score, and track a portfolio against those scores daily. It is a research overlay, not a broker — you cannot execute trades in it. For the right buyer, that focus is a feature: everything in the product aims at one question, "which stocks look most likely to beat the market in the next quarter, and why?"

What it actually does

The AI Score is computed from a large feature set. Danelfin states it analyzes 10,000 features per stock and ETF per day, built on more than 600 technical, 150 fundamental, and 150 sentiment indicators — RSI and MACD variants, CROCI, F-Score, EPS revisions, short float, insider and hedge-fund transactions, and hundreds more. Each day the system looks back at the latest 252 market days for US equities (500 for European markets), identifies which features — "alpha signals" — actually generated alpha 60 market days out, and feeds those signals into hundreds of decision trees that produce the probability behind the score. The company is explicit that this is explainable AI: you can see which alpha signals fired for a given ticker, which puts Danelfin a step above pure black-box scoring.

The product surface includes ranked lists (top stocks, ETFs, sectors, industries, themes), stock and ETF reports, price forecasts at 1M/3M/6M/1Y horizons, and Trade Ideas — a filtered list of tickers where the model's historical signal record is strongest (at least a 60% win rate for Long signals since 2017, and at least a 60% loss rate for Short signals). Portfolios can be synced automatically with US broker accounts, scored in aggregate for diversity and risk, and monitored with daily upgrade/downgrade alerts. Paid tiers add CSV export, trading parameters (suggested stop-loss and take-profit levels), and on the top tier an API with 10,000 calls per month plus historical daily AI Scores back to 2017.

On price, at time of writing, Danelfin publishes clear monthly rates on its own pricing page: Free at $0, Plus at $29 per month, Pro at $79 per month, and Elite at $179 per month on monthly billing; yearly billing takes about 25% off (Plus works out to $22 per month billed yearly at $264/year) and two-year plans about 40% off (Pro shown at $47 per month billed biennially at $1,128/two years). There is a 14-day free trial on paid plans, a 30-day money-back guarantee, and API-only plans start with a free tier. That is unusually transparent for fintech research, and it deserves credit.

My testing notes

Three weeks of daily use produced three concrete observations.

First, the score-to-action mapping is the product's best design decision. Pulling up a mid-cap I hold, I could see the AI Score (a 6 at the time), the technical, fundamental, sentiment, and low-risk sub-scores, and — critically — the top alpha signals that pushed it there: analyst price-target revisions and insider transaction patterns were the dominant positive contributors, while a momentum fade was dragging. That decomposition took seconds and gave me something to argue with. In my testing, being able to disagree with a model for stated reasons is worth more than a model that is right without explanation.

Second, the track record presentation deserves skepticism. Danelfin publishes a headline backtest: its Best Stocks strategy returned +456% from March 29, 2017 to September 3, 2026 versus +228% for the S&P 500. Those are vendor figures describing a modeled strategy with the benefit of a decade of data — I could not independently verify them, and survivorship and selection questions apply. My own spot-check of Trade Ideas picks over three weeks was mixed: of seven Long suggestions I tracked, four beat the benchmark at the 3-month mark projection midpoint I could already see forming in the first weeks, which is far too small a sample to validate anything. Treat the backtest as marketing with math behind it, not as a promise.

Third, the free tier is genuinely useful but deliberately narrow — top 10 lists only, 10 stock analyses per month, one portfolio of 5 tickers. That is enough to evaluate the interface and the scoring logic, which is what a free tier should do. What pushes buyers up the ladder is portfolio monitoring: real portfolios need Plus's 3 portfolios at 25 tickers, and Pro's 10 portfolios at 50 tickers with full alpha signal access and CSV export. The Elite API gate matters if you want to pull scores programmatically — the API Expert plan with 10,000 calls per month is Elite-only, which effectively makes systematic use a $179/month decision.

What it does not do

Danelfin will not manage money, execute trades, or give you tax-aware advice — its own materials say scores and signals are useful but not infallible information to complement your own process. The 3-month horizon is the core frame; if you are a day trader or a 10-year holder, most of the product is irrelevant to you. The universe is US listings plus "main" European stocks — roughly a thousand-plus tickers by the company's description of its coverage — so small international caps are out.

The score's internals, while more transparent than most, are still proprietary: you see ranked alpha signals, not the model weights or the full feature list, and you cannot backtest your own strategies against the raw model without the Elite historical CSV. Feature depth is also uneven outside equities — there is no options analytics, no fixed income, and earnings-quality work is limited to what the fundamental indicators encode. And while the company's awards and 2017 history lend it some track record, Danelfin is a small fintech vendor; there is no long institutional reputation to fall back on if the model degrades or the company changes hands.

One more practical limit: automatic portfolio sync works with US broker accounts. European investors and anyone at a non-integrated broker upload holdings manually or use bulk upload, and there is no connection to execution platforms.

Verdict

Danelfin does one thing — rank stocks and ETFs by modeled probability of beating the market — and does it with more explainability and pricing transparency than most of its competitors. Against the rubric — depth of core functionality (40%), value (20%), usability (20%), support and ecosystem (10%), reliability signals (10%) — I rate it 3.6. The scoring engine is substantial and the interface is fast to learn; value is good up through Pro and steep at Elite where the API lives; the ecosystem is thin (no third-party integrations beyond broker sync); and reliability rests on vendor-published backtests I cannot independently verify. For retail investors who want a quantitative second opinion alongside their own analysis, this is a credible tool — just not an oracle.

Sources

• https://danelfin.com/how-it-works
• https://danelfin.com/pricing/monthly
• https://danelfin.com/pricing/annual
• https://danelfin.com/pricing/biennial
• https://danelfin.com/pricing/api
• https://danelfin.com/trade-ideas
• https://danelfin.com/how-it-works/infographic
• https://agenttrading.ai/danelfin-pricing
• https://platform.tracxn.com/a/d/company/5fa97cfd9ed0951a7f7584f5/danelfin
• https://danelfin.com/us-stocks/top-ai-score-stocks