Collective Mining Ltd. Common Shares (CNL) — AI-Powered Stock Analysis & Research

Quantitative analysis for Collective Mining Ltd. Common Shares (CNL): 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: Strong Buy (95.0) (grade A). 25 signals analyzed (21 differentiated alt-data).

Recent Price Action & History

Trading Data & Technical Analysis

CNL 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
2026-05-06$18.11$17.24$18.05
2026-05-18$16.95$15.68$15.94
2026-05-29$16.28$15.27$16.28
2026-06-10$13.72$12.90$12.90
2026-06-23$13.61$12.92$13.04
2026-07-06$13.80$13.30$13.61
2026-07-16$12.32$11.39$11.74
2026-07-28$12.91$12.10$12.69
2026-08-07$14.46$13.65$14.13
2026-08-20$15.56$14.93$15.21
2026-09-01$15.70$14.64$15.09
2026-09-14$13.75$12.88$13.30

Key Analysis Points for Collective Mining Ltd. Common Shares

What Drove CNL's Score

Collective Mining Ltd. Common Shares (CNL) scores Strong Buy (95.0), and the composite conceals a 47-point disagreement between its dimensions. It is strongest on analyst consensus at 75 and valuation at 73, and weakest on technicals at 28. A stock can carry analyst consensus that high while technicals sits at 28; 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
analyst consensus75
valuation73
ML forecast70
technicals28

Signal Diversity

StoQuant analyzes 25 signals (21 alt-data). Alternative data sources (FDA approvals, GitHub activity, SEC filings, App Store ratings) complement traditional financial metrics.

What StoQuant Measures for CNL

Core Signals & Metrics

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Knowledge Base & Methodology

All StoQuant signals are explained in our knowledge base:

Compare & Research Tools

Direct Comparisons

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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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