Opes Borsa vs Danelfin
A Single Score vs a Full Signal Stack
Danelfin is a score-first AI platform built for explainable stock analysis
Danelfin is an AI-powered stock and ETF analytics platform, founded in Barcelona, that assigns each covered instrument an explainable AI Score from 1 to 10. The model processes over 10,000 features per stock daily, drawn from fundamental, technical, and sentiment indicators, and scores each instrument on its estimated probability of outperforming the market over a three-month horizon. Paid plans start at approximately $22 per month (Plus) for full score access, rising to approximately $59 per month (Pro) for advanced features including CSV exports and broker sync. Coverage spans US exchanges and over 5,500 European stocks across 20-plus countries, expanding to broader European markets in early 2026. The platform distinguishes itself through explainability: users can see which sub-scores (fundamental, technical, sentiment, low-risk) drove the composite AI Score, and can track score evolution over time.
The AI Score and what it covers
Danelfin's core design decision is compression: multiple indicator categories, processed by machine learning models, synthesised into a single number with visible sub-components. This is analytically honest in a way that many single-score platforms are not. The explainability layer shows which dimensions contributed to the score, and the score evolution chart shows how conviction has changed over the lookback period.
The platform's focus is equities and ETFs. Forex, commodities, and cryptocurrencies are outside Danelfin's covered asset classes. The AI Score produces a directional probability estimate but does not pair it with a disclosed model-inferred price target, an upside percentage, or a realised return since signal issue date. The output is a score with explainability. It does not generate an autonomous AI research narrative synthesising earnings transcripts and insider activity alongside the model output.
Where Opes Borsa's Signal Stack extends the comparison
The Opes Borsa Signal Confidence Score is the probabilistic directional estimate structurally equivalent to Danelfin's AI Score, but it sits inside a fuller analytical layer. Each Trend Signal discloses the directional state (positive or negative), the Signal Confidence Score as a percentage, a model-inferred price target, the upside percentage from current price, and the realised return since the signal issue date. This transparency allows a user to assess not just what the model currently thinks, but how the model's prior directional calls have performed.
AI Research adds what a score alone cannot provide: an autonomous narrative synthesising insider activity, earnings transcript content, analyst consensus, and Sentiment Layer classification into a structured written assessment. Luna provides conversational access to that research across all covered instruments. Explore surfaces thematic and sector-level discovery. The same Signal Stack applies to commodities, forex, and cryptocurrencies, extending well beyond the equities-and-ETFs scope Danelfin covers.
Feature comparison
Danelfin vs Opes Borsa
Asset classes: Danelfin: Equities, ETFs (US + European) Opes Borsa: Equities, commodities, forex, crypto
Core signal: Danelfin: AI Score (1-10, explainable sub-scores) Opes Borsa: Trend Signal + Signal Confidence Score (%) + target + upside + realised return
AI research narrative: Danelfin: Not included Opes Borsa: Autonomous AI Research per instrument
Conversational analyst: Danelfin: Not included Opes Borsa: Luna
Sentiment layer: Danelfin: Sentiment sub-score within AI Score Opes Borsa: Dedicated Sentiment Layer (NLP, real-time)
Thematic discovery: Danelfin: Not included Opes Borsa: Explore
Platform: Danelfin: Web, mobile Opes Borsa: Mobile-native (iOS, Android)
Pricing: Danelfin: Free (limited); Plus ~$22/month; Pro ~$59/month Opes Borsa: Free tier available; see opesborsa.com
Who each tool is for
If your process centres on US and European equities, you want a score-based directional assessment with visible sub-component explainability, and the three-month probability framing fits your investment horizon, Danelfin is a well-constructed tool. If you need the signal paired with a disclosed model-inferred target and realised return history, an autonomous AI research narrative, cross-asset coverage beyond equities, or a conversational analyst, Opes Borsa extends into a broader scope.
Opes Borsa compares to Danelfin as a full Signal Stack, with directional state, confidence score, model-inferred target, upside, and realised return, combined with autonomous AI Research, versus Danelfin's strength in explainable AI Scores for equities across US and European markets. Danelfin leads on score transparency with visible sub-components; Opes Borsa extends the signal's context with a performance history, research narrative, and broader asset-class coverage.
