HSLV vs IDR

Highlander Silver Corp. vs Idaho Strategic Resources, Inc. — Valuation Comparison 2026

HSLV

Gold and Silver Ores
Highlander Silver Corp.
Quality
4.4
out of 10
Value Trap
Price
$5.50
Last close
Models
9/13
Active
VS

IDR

Gold and Silver Ores
Idaho Strategic Resources, Inc.
Quality
8.6
out of 10
Value Trap
12
SAFE
Price
$39.11
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType HSLV Fair ValueHSLV Upside IDR Fair ValueIDR Upside
Bayesian DCF Intrinsic $1.64 -70.2% $11.42 -70.8%
Earnings Power Value Intrinsic $8.85 -77.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $0.38 -93.1% $4.52 -88.4%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for HSLV vs IDR — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

HSLV vs IDR — Which Stock Is More Undervalued?

IDR scores higher with a 8.6/10 quality rating vs HSLV's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Highlander Silver Corp. (HSLV) and Idaho Strategic Resources, Inc. (IDR) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

HSLV currently trades at $5.50 with a QOC of 4.4/10, while IDR trades at $39.11 with a QOC of 8.6/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).