SharonAI Holdings, Inc. Class A Common Stock (SHAZ) — AI-Powered Stock Analysis & Research

Quantitative analysis for SharonAI Holdings, Inc. Class A Common Stock (SHAZ) — Information Technology: 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

Current Q-Score verdict: Buy (55.0) (grade B). Gem alpha score: 41.0. 30 signals analyzed (25 differentiated alt-data).

Recent Price Action & History

Trading Data & Technical Analysis

SHAZ 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.

DateHighLowClose
2026-04-30$46.73$39.74$46.00
2026-05-12$54.55$49.32$52.10
2026-05-22$68.55$57.85$68.06
2026-06-04$79.00$72.00$76.02
2026-06-16$80.00$68.81$76.68
2026-06-29$86.09$76.40$81.00
2026-07-10$80.28$73.66$74.62
2026-07-22$75.84$67.53$70.49
2026-08-03$53.25$43.56$52.38
2026-08-13$74.14$67.61$72.02
2026-08-25$61.80$58.35$60.97
2026-09-04$57.70$54.18$55.94

Peer Comparison in Information Technology

Sector Peers & Valuation Comparison

How SharonAI Holdings, Inc. Class A Common Stock stacks up against same-sector peers on market capitalization and alpha scores:

TickerCompanyMarket CapAlpha Score
TASKTaskUs, Inc.$543M
TROOTROOPS, Inc.$438M
LSAKLesaka Technologies, Inc.$433M
HQHorizon Quantum Holdings Ltd. Class A Ordinary Shares$559M

Explore Sector Analysis

View all Information Technology stocks by valuation and signals →

Key Analysis Points for SharonAI Holdings, Inc. Class A Common Stock

What Drove SHAZ's Score

SharonAI Holdings, Inc. Class A Common Stock (SHAZ) scores Buy (55.0), and the composite conceals a 65-point disagreement between its dimensions. It is strongest on ML forecast at 92 and AI Alpha (gem) at 82, and weakest on competitive moat at 27. A stock can carry ML forecast that high while competitive moat sits at 27; the composite averages that tension away, which is why the breakdown is worth reading before the headline number. See Q-Score methodology for how these dimensions are weighted and combined.

Q-Score dimensions, normalized 0-100
DimensionScore
ML forecast92
AI Alpha (gem)82
technicals53
earnings quality51
valuation46
competitive moat27

Signal Diversity

StoQuant analyzes 30 signals (25 alt-data). Alternative data sources (FDA approvals, GitHub activity, SEC filings, App Store ratings) complement traditional financial metrics.

What StoQuant Measures for SHAZ

Core Signals & Metrics

Learn StoQuant's Signals & Scoring

Knowledge Base & Methodology

All StoQuant signals are explained in our knowledge base:

Compare & Research Tools

Direct Comparisons

Broader Research Tools

Sector-Specific Research

Information Technology Hub — Top performers and valuation outliers in Information Technology

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Disclaimer & Methodology

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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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