DSAC vs DYOR

Daedalus Special Acquisition Co vs Insight Digital Partners II — Valuation Comparison 2026

DSAC

Blank Checks
Daedalus Special Acquisition Co
Quality
4.7
out of 10
Value Trap
Price
$9.99
Last close
Models
9/13
Active
VS

DYOR

Blank Checks
Insight Digital Partners II
Quality
4.9
out of 10
Value Trap
Price
$10.04
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType DSAC Fair ValueDSAC Upside DYOR Fair ValueDYOR Upside
Bayesian DCF Intrinsic $0.14 -98.6% $0.23 -97.7%
Earnings Power Value Intrinsic $0.31 -96.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $13.20 +32.6% $0.29 -97.1%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

DSAC vs DYOR — Which Stock Is More Undervalued?

DYOR scores higher with a 4.9/10 quality rating vs DSAC's 4.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Daedalus Special Acquisition Co (DSAC) and Insight Digital Partners II (DYOR) 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.

DSAC currently trades at $9.99 with a QOC of 4.7/10, while DYOR trades at $10.04 with a QOC of 4.9/10.

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).