What is Radius Recycling, Inc. (RDUS)'s Q-Score?

StoQuant's Q-Score for RDUS is not yet calculated. The Q-Score is a composite rating from 0–100 that combines DCF valuation, earnings quality, competitive moat, analyst consensus, ML forecasts, and market sentiment.

Is RDUS stock undervalued according to StoQuant?

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

What is the RDUS stock forecast?

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

Radius Recycling, Inc. (RDUS) — AI-Powered Stock Analysis & Research

Quantitative analysis for Radius Recycling, Inc. (RDUS) — Materials: 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

Sector: Materials

Recent Price Action & History

Trading Data & Technical Analysis

RDUS 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.

Peer Comparison in Materials

Sector Peers & Valuation Comparison

How Radius Recycling, Inc. stacks up against same-sector peers on market capitalization and alpha scores:

Ticker	Company	Market Cap	Alpha Score
BHP	BHP Group Limited	$212.2B	—
RIO	Rio Tinto Group	$167.8B	—
AEM	Agnico Eagle Mines Limited	$89.3B	—
VALE	Vale S.A.	$69.7B	—

Explore Sector Analysis

View all Materials stocks by valuation and signals →

Key Analysis Points for Radius Recycling, Inc.

What StoQuant Measures for RDUS

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

Compare & Research Tools

Direct Comparisons

RDUS vs BHP — comparison
RDUS vs RIO — comparison
RDUS vs AEM — comparison
RDUS vs VALE — comparison

Broader Research Tools

Stock Screener — Filter 3,600+ stocks by Q-Score, alpha, Graham value, insider flow
ML Stock Forecast — Return probability forecast with confidence intervals and driver analysis
Full Stock Screener — Filter 3,600+ tickers by metrics, find outliers in any category

Sector-Specific Research

Materials Hub — Top performers and valuation outliers in Materials

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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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