finance

Danelfin

AI stock picker that scores every stock 1–10 on its probability of beating the market over the next 3 months.

7.2 /10
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Pricing

Free
$0/mo
  • Limited stock AI Scores
  • Basic rankings
  • No portfolio tools
Starter
$~27/mo
  • Full US + EU stock AI Scores
  • ETF rankings
  • Trade Ideas
  • Sector/industry views
Pro
$~49/mo
  • Everything in Starter
  • Portfolio optimization
  • API access
  • Priority support
2-Year
40% off any plan
  • Same features as monthly plan
  • Discounted annual billing over 2 years

Key Features

  • AI Score (1–10) rating probability of beating the market in 3 months per stock
  • Breakdown scores for Fundamental, Technical, Sentiment, and Low Risk sub-factors
  • US and European stock rankings updated daily
  • ETF rankings and Trade Ideas by sector, industry, and investment theme
  • REST API and MCP Server for programmatic access

Pros & Cons

Pros

  • Explainable AI — shows exactly which sub-factors (fundamental, technical, sentiment) drive each score
  • Covers both US and major European markets, unusual for AI stock pickers
  • 150,000+ active users lends credibility to real-world adoption
  • MCP Server integration lets developers embed scores directly into AI workflows
  • Quantified probability framing is more honest than vague buy/sell signals

Cons

  • Exclusively a 3-month horizon tool — not suitable for long-term or value investors
  • AI Score is proprietary and not independently audited, so backtests are self-reported
  • No portfolio execution or brokerage integration — analysis only
  • European coverage is narrower than US coverage in depth and liquidity context
  • Subscription cost adds up relative to free screeners like Finviz or Seeking Alpha
Verdict

Danelfin is a well-packaged AI stock-scoring tool that stands out for explainability — you can see why a stock scores high, not just that it does. It's best suited for active traders with a 1–3 month horizon who want a data-driven edge on US and EU equities. Long-term buy-and-hold investors will find the short-horizon framing limiting.

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