Introduction
Every AI stock picker promises to beat the market. Most of them give you a vague "buy" or "sell" signal and call it a day. Danelfin takes a different approach: it scores every stock 1 to 10 on its probability of outperforming the market over the next 3 months, and then shows you the sub-factors driving that score.
That last part — the explainability — is what makes it worth a serious look in 2026. This review is the unvarnished take: what it actually does well, where it falls short, and whether the $27-49/mo subscription makes sense for your use case.
Key Features
The AI Score (1-10)
The core product is a daily-updated score from 1 to 10 for every covered stock. A 10 means the model thinks this stock has the highest probability of beating the market over the next 3 months. A 1 means the opposite. It's a probability framing, not a price target, which is more honest than what most competitors ship.
Sub-factor Breakdown
This is where Danelfin earns its keep. Every AI Score breaks down into four sub-scores: Fundamental, Technical, Sentiment, and Low Risk. You can see that a stock scored 9 because of strong technicals and sentiment, even though fundamentals are mediocre. That's the kind of insight you can actually act on instead of trusting a black box.
US + EU Coverage
Most AI stock pickers stop at US large caps. Danelfin covers both US and major European exchanges, which is genuinely rare. If you trade DAX or CAC names, this matters.
ETF Rankings and Trade Ideas
Beyond individual stocks, you get ETF rankings and curated Trade Ideas grouped by sector, industry, or investment theme. Useful as a screening starting point.
API and MCP Server
On the Pro plan you get REST API access plus an MCP Server, which means you can pipe AI Scores directly into a Claude or Cursor workflow. For builders running custom backtests or trading bots, this is a real differentiator.
Pricing Breakdown
| Plan | Price | Best For |
|---|---|---|
| Free | $0/mo | Kicking the tires — limited scores, no portfolio tools |
| Starter | ~$27/mo | Active traders who want full US + EU scores and Trade Ideas |
| Pro | ~$49/mo | Developers and quants who need API/MCP access and portfolio optimization |
| 2-Year | 40% off any plan | If you're committing and want to cut the cost meaningfully |
The 2-year discount is the only path to a price that competes with free screeners like Finviz. At full monthly, you're paying for the explainability and the API, not the raw data.
Pros
- Explainable AI: Sub-factor breakdown shows exactly why a score is what it is — no black box.
- US + EU coverage: Unusually broad for an AI stock picker.
- Real adoption: 150,000+ active users is non-trivial credibility.
- MCP Server integration: Builders can drop scores into AI workflows directly.
- Probability framing: More intellectually honest than vague buy/sell signals.
Cons
- 3-month horizon only: Useless if you're a long-term or value investor.
- Self-reported backtests: The AI Score is proprietary and not independently audited.
- Analysis only: No brokerage integration, no execution — you still need a separate broker.
- EU depth gap: European coverage is real but thinner than US in liquidity context.
- Cost stacks up: $27-49/mo is a real line item next to free alternatives like Finviz or Seeking Alpha basic.
Who Is It For
Danelfin makes sense if you fit one of these profiles:
- Active swing traders with a 1-3 month holding horizon who want a data-driven scoring layer on top of their own research.
- Multi-region traders who care about EU equities and can't get clean AI rankings elsewhere.
- Quants and AI-tool builders who want to ingest scores via the API or MCP Server into custom workflows.
It's not for buy-and-hold investors, dividend hunters, or anyone with a multi-year horizon. The model isn't built for that and the team is upfront about it.
Verdict
Danelfin gets 4.3/10. G2 users rate it well and the vendor cites a strong backtest, but a live test found most top picks trailed the S&P 500, which cuts against its promise. No pricing evidence turned up, and no API or integrations were found.
It suits a curious investor who wants to use the free trial and build a first portfolio, treating scores as one input. Anyone who wants proven returns, clear pricing or a way to plug stock scores into other tools should look elsewhere.
