Methodology

Our Methodology

Transparent. Rigorous. Institutionally Aligned.

Our goal is to deliver the most accurate, timely, and actionable intelligence on Bitcoin-linked public markets. Our methodology combines institutional-grade data, robust modeling, and a structured research framework.

1. Our Research Framework

We follow a disciplined 6-step process to ensure our analysis meets institutional standards of accuracy, consistency, and relevance.

Universe Definition

Identify and define the investable universe across ETFs, treasury companies, mining stocks, and public companies with Bitcoin exposure.

Data Collection

Aggregate data from primary sources, partnerships, and regulatory filings. All data is timestamped and source-attributed.

Data Processing & Normalization

Clean, standardize, and normalize data for comparability across entities, currencies, and time periods.

Analysis & Modeling

Apply proprietary models, financial analysis, and statistical techniques to generate insights and identify trends.

Validation & Quality Control

Cross-verify data, run consistency checks, and review outliers to ensure reliability and accuracy of results.

Reporting & Updates

Deliver insights through dynamic dashboards and institutional reports with daily updates and quarterly deep-dives.

2. Key Metrics & Definitions

Core metrics used throughout our analysis.

Bitcoin Exposure (BTC Exposure)

Total Bitcoin held directly or indirectly, measured in BTC and USD.

Market Capitalization (Market Cap)

Total market value of outstanding shares.

Enterprise Value (EV)

Market Cap + Total Debt − Cash & Cash Equivalents.

Bitcoin Yield

Growth in Bitcoin holdings per share over a trailing period.

Hashrate (EH/s)

Total estimated exahashes per second (10¹⁸ hashes/second).

AUM (Assets Under Management)

Total assets managed by ETFs or funds.

BTC Concentration

Percentage of total assets or treasury represented by Bitcoin.

3. Modeling Approach

We use a combination of quantitative models and qualitative analysis.

Valuation Models

Comparables analysis, EV/EBITDA, Price-to-BTC, and Discounted Cash Flow (where applicable).

Trend Analysis

Time-series analysis to identify structural trends in holdings, flows, and performance.

Scenario Analysis

Bull, Base, and Bear case modeling to evaluate potential outcomes under different market conditions.

Correlation Analysis

Measure relationships between Bitcoin price, equity performance, flows, and macroeconomic variables.

Factor Analysis

Evaluate key drivers such as regulation, adoption, energy costs, technology, and market sentiment.

4. Data Sources

We aggregate data from trusted, institutional-grade sources.

SEC EDGAR

Filings & Documents

Coin Metrics

On-Chain Data

Bloomberg

Market Data

Refinitiv

Fundamentals

Glassnode

On-Chain Analytics

S&P Global

Market Intelligence

ETF.com

ETF Data

Company IR

Investor Relations

All data is subject to verification, normalization, and continuous monitoring.

5. Update Frequency

Market Data

Daily

On-Chain Data

Daily

Regulatory Filings

Real-time as filed

Reports & Dashboards

Daily updates • Quarterly deep-dives

Institutional Report

Quarterly (Full Edition)

6. Limitations

Past performance does not guarantee future results.
Market data may be delayed based on source availability.
Estimates and models involve assumptions and inherent uncertainties.
Our research does not constitute investment advice.
Investors should conduct their own due diligence before making decisions.

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Our methodology is built on transparency, integrity, and a commitment to delivering institutional-quality intelligence on Bitcoin markets.
bitcoininstock.com Research Team

Institutional-Grade Intelligence You Can Rely On

Our methodology ensures every insight is backed by data, validated with rigor, and delivered with clarity.