Is VCRE stock undervalued according to StoQuant?

See the full StoQuant analysis to check whether VCRE is currently undervalued according to Graham intrinsic value estimates.

What is the VCRE stock forecast?

StoQuant's ML model generates a forecast for VCRE predicting the probability of outperformance vs. the S&P 500, updated daily. See the detailed forecast page for confidence intervals and named drivers.

Vicore Pharma Holding AB American Depositary Shares (VCRE) — AI-Powered Stock Analysis & Research

Quantitative analysis for Vicore Pharma Holding AB American Depositary Shares (VCRE): AI-powered alpha score, Benjamin Graham intrinsic value, ML-based forecast, technical and fundamental signals, and insider activity.

Key Quantitative Facts

At-a-Glance Metrics

Market Cap: $3.01B
Current Price: $10.70
52-Week Range: $10.78 – $16.25
Q-Score Verdict: Strong Buy (88.0) grade A
Signal Coverage: 26 signals (23 alt-data)

Current Q-Score verdict: Strong Buy (88.0) (grade A). 26 signals analyzed (23 differentiated alt-data).

Recent Price Action & History

Trading Data & Technical Analysis

VCRE stock price is tracked daily for technical and fundamental analysis. The data below shows recent trading activity used in trend analysis, momentum calculation, and entry/exit signals.

Date	High	Low	Close
2026-07-06	$16.53	$13.55	$16.25
2026-07-13	$12.77	$12.37	$12.65
2026-07-20	$11.78	$11.44	$11.44
2026-07-27	$11.59	$11.06	$11.06
2026-08-03	$11.82	$11.32	$11.53
2026-08-10	$12.05	$11.91	$11.91
2026-08-18	$12.23	$12.23	$12.23
2026-08-25	$13.15	$11.22	$11.52
2026-09-01	$11.08	$11.00	$11.07
2026-09-09	$12.10	$11.83	$12.08

Key Analysis Points for Vicore Pharma Holding AB American Depositary Shares

What Drove VCRE's Score

VCRE scores Strong Buy (88.0), resting on a single measured dimension: technicals at 89 out of 100. The remaining dimensions are unmeasured for this ticker rather than weak. See Q-Score methodology for how these dimensions are weighted and combined.

Q-Score dimensions, normalized 0-100
Dimension	Score
technicals	89

Signal Diversity

StoQuant analyzes 26 signals (23 alt-data). Alternative data sources (FDA approvals, GitHub activity, SEC filings, App Store ratings) complement traditional financial metrics.

What StoQuant Measures for VCRE

Core Signals & Metrics

AI Alpha (Gem) Score: Combines 15+ technical signals (momentum, RSI, moving averages) with fundamentals (earnings surprise, growth consistency) and sentiment. 0–100 scale, residualized by sector so peer-relative strength is visible.
Benjamin Graham Intrinsic Value: DCF-based valuation using conservative earnings assumptions and sector-median discount rates. Margin of safety measures distance from intrinsic value to current price.
Composite Q-Score: Blends DCF upside potential, earnings quality (Piotroski F-Score, Altman Z-Score for distress risk), competitive moat score, analyst consensus, and social/news sentiment into one 0–100 verdict.
ML Price Forecasts: Probability estimates using historical price/volume patterns.
Insider & Institutional Flow: Officer and large shareholder transactions from SEC filings (10-K, Form 4), concentration analysis, and transaction patterns over 14/90-day windows. See insider activity methodology.
Sector & Macro Context: Market regime classification (bull/bear/correction), sector rotation, and portfolio context. Same stock signal reads differently across market environments.

Learn StoQuant's Signals & Scoring

Knowledge Base & Methodology

All StoQuant signals are explained in our knowledge base:

Q-Score Methodology — How StoQuant combines dimensions: DCF, earnings quality, moat, analyst consensus, ML, sentiment
Portfolio Construction — Building balanced portfolios with StoQuant signals
Diversification & Correlation — Cross-sector allocation and risk-adjusted returns

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About StoQuant

Platform Overview

StoQuant is a quantitative stock research platform powered by AI scoring, fundamental analysis, and institutional-grade signals. We cover 3,600+ US-listed equities with daily updates on valuations, earnings quality, insider flow, and ML-based return forecasts. Learn more about us.

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Disclaimer & Methodology

How StoQuant Works

StoQuant research is generated algorithmically using public market data, SEC filings, news feeds, and proprietary ML models. Not investment advice. Past performance does not guarantee future results.

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