Chaince Digital Holdings (CD) Fair Value & Analysis
Financial Services · US · Market cap $383M
Fair value as of: Jun 26, 2026
Analysis
Chaince Digital Holdings (CD) currently trades at $4.36, while our model-based Fair Value estimate is $0.5400 — implying the stock looks roughly 87.6% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Chaince Digital Holdings Inc. engages in providing financial and advisory services in the North America, Greater China, Southeast Asia, Hong Kong, Singapore, Malaysia, and the United States. The company offers industry advisory and consulting services, such as corporate restructuring, capital markets preparation, regulatory compliance, and business expansion strategies; IPO-related financial advisory and consulting services, including transaction structuring, preparation for regulatory filings, coordination with underwriters and professional advisors, and strategic capital markets advisory; and private investment in public equity advisory and placement-related services comprising identifying potential investors, assisting in transaction structuring, and coordinating the placement process. It also provides transaction execution and brokerage, clearing-related brokerage, referral, and escrow agent services. The company was formerly known as Mercurity Fintech Holding Inc. and changed i…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.