MKTX vs NCTY

MarketAxess Holdings, Inc. vs The9 Limited - American Deposit — Valuation Comparison 2026

MKTX

Capital Markets
MarketAxess Holdings, Inc.
Quality
9.0
out of 10
Value Trap
33
LOW
Price
$131.55
Last close
Models
13/13
Active
VS

NCTY

Capital Markets
The9 Limited - American Deposit
Quality
4.9
out of 10
Value Trap
18
SAFE
Price
$5.39
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType MKTX Fair ValueMKTX Upside NCTY Fair ValueNCTY Upside
Bayesian DCF Intrinsic $144.78 +10.1% $0.66 -87.8%
Earnings Power Value Intrinsic $71.87 -45.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $97.97 -25.5% $0.46 -91.4%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
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 MKTX vs NCTY — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

MKTX vs NCTY — Which Stock Is More Undervalued?

MKTX scores higher with a 9.0/10 quality rating vs NCTY's 4.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing MarketAxess Holdings, Inc. (MKTX) and The9 Limited - American Deposit (NCTY) 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.

MKTX currently trades at $131.55 with a QOC of 9.0/10, while NCTY trades at $5.39 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).