Stocks
Business quality, valuation, cash flow, dividends, moats, position sizing.
Research library
A complete category system for every major investing decision.
The library is organized by asset, portfolio job, research format, investor level, and decision moment. That structure lets NAKAMOTO Finance Library scale without becoming a feed of disconnected posts.
Library index
- 12
- Categories
- 48
- Launch clusters
- 400+
- Article capacity
Article categories
Every category gets a hub, a roadmap, and a tool connection.
Category pages should combine evergreen guides, latest research, calculators, glossary terms, and next-read pathways.
ETFs
Fees, liquidity, index methodology, overlap, tax efficiency, factor exposure.
Index funds
Broad-market exposure, tracking, benchmark design, simplicity, rebalancing.
Portfolios
Allocation, risk budgets, rebalancing, policy statements, core-satellite design.
Market cycles
Rates, inflation, earnings, breadth, valuation, sentiment, recession risk.
Retirement
Withdrawal rates, sequence risk, income planning, tax location, longevity risk.
Taxes
Account location, capital gains, dividends, tax-loss harvesting, fund structure.
Behavior
Decision rules, overtrading, fear cycles, investor psychology, policy design.
Risk management
Drawdowns, concentration, duration, liquidity, inflation, emergency reserves.
Research desks
Recurring content formats that create authority.
Market Brief
What changed, what matters, what to ignore, and one portfolio implication.
ETF Due Diligence
A fund teardown covering fees, holdings, liquidity, overlap, and role.
Quality Stock Review
Business quality, balance sheet, cash flow, valuation range, and watchlist status.
Portfolio Playbook
Allocation frameworks by risk profile, stage, and market regime.
Article clusters
Launch clusters for the first hundred articles.
ETF selectionETF basics, comparison checklist, overlap guide, tax efficiency, factor ETFs, bond ETFs.
Portfolio designThree-fund portfolio, risk capacity, rebalance bands, IPS template, cash allocation, drawdown plan.
Stock researchMoats, free cash flow, margins, ROIC, valuation multiples, dividend durability, position sizing.
Market contextRates, inflation, earnings cycles, breadth, valuations, sentiment, regime dashboard, recession indicators.
Retirement planningWithdrawal rates, sequence risk, bond ladders, income ETFs, tax location, longevity risk.
Research articles
Complete reference pieces.
These articles include source links, frameworks, visual evidence panels, and related content pathways.
Q1 GDP context
BEA-backed growth article for earnings and allocation research.
Read articleFOMC calendar guide
Federal Reserve source material turned into investor review questions.
Read articleETF Fee Checklist
Fund research process with FINRA, SEC, and Investor.gov references.
Read articleResearch playbooks
How to turn a topic into a complete research note.
These playbooks help NAKAMOTO Finance Library publish deeper content: thesis, evidence, source links, risks, examples, and reader next steps.
Compare funds by role, not ticker popularity.
Research question: What job should this ETF do in the portfolio? Evidence: benchmark methodology, holdings, fee, spread, tracking difference, assets, turnover, distributions, and overlap. Output: fund role, alternatives, tradeoffs, and who should keep researching.
- Source: issuer fund page, prospectus, SEC filings, index methodology.
- Next step: ETF fee checklist.
Build a thesis before looking for confirmation.
Research question: What must be true for this company to compound value? Evidence: revenue quality, margins, ROIC, free cash flow, balance sheet, capital allocation, competition, and valuation range. Output: thesis, risks, watchlist triggers, and position-sizing guardrails.
- Source: 10-K, 10-Q, earnings call, segment data, industry data.
- Next step: Thesis library.
Translate data releases into assumption checks.
Research question: Which portfolio assumptions does this data update? Evidence: release date, headline measure, core measure, revisions, trend, market expectations, and historical context. Output: what changed, what did not, and which portfolio area deserves review.
- Source: BLS, BEA, Federal Reserve, FRED, Treasury.
- Next step: Economic calendar.
Connect research to written rules.
Research question: Does this portfolio still match the investor's goals, horizon, risk capacity, and behavior needs? Evidence: allocation drift, concentration, fees, taxes, liquidity, duration, withdrawals, and contribution plan. Output: keep, rebalance, simplify, review, or learn more.
- Source: account data, fund documents, policy statement, tax constraints.
- Next step: Portfolio clinic.
Audit the decision, not just the asset.
Research question: Is the investor reacting to evidence or emotion? Evidence: written thesis, review date, risk rule, time horizon, opportunity cost, and mistake journal. Output: action, review, ignore, save, or ask a better question.
- Source: investor policy, journal, checklist, and framework library.
- Next step: Frameworks.
Every article needs a knowledge trail.
Research question: What should the reader understand or do after reading? Evidence: source links, definitions, examples, limitations, related content, and one next step. Output: a page that is useful today and still discoverable later.
- Source: editorial standards and source policy.
- Next step: Editorial standards.
Deep guides
Standalone knowledge guides for the decisions visitors actually make.
These guides turn NAKAMOTO Finance Library from a content hub into a practical investing knowledge base.
How to compare ETFs
Costs, index methodology, holdings, liquidity, tracking, taxes, and portfolio role.
Read guideWrite a stock thesis
Business quality, cash flow, valuation, risks, evidence, and update triggers.
Read guideInvestment policy statement
Goals, allocation, rebalancing, cash rules, tax awareness, and review cadence.
Read guideRead market news calmly
Classify headlines as action, review, save, or ignore using source-backed context.
Read guideRetirement income planning
Sequence risk, withdrawal rules, cash buffers, inflation, taxes, and review habits.
Read guideCalculator assumptions
Use calculators with ranges, real returns, fees, taxes, and scenario thinking.
Read guide
Content depth
Research Library visitor guide.
Browse reports, frameworks, long-form analysis, dashboards, and source-backed research collections.
Useful information for real visitors.
Use the library when you need depth beyond daily news.
- What decision or question this page supports.
- Which evidence, framework, or tool to use next.
- How the topic connects to long-term investing behavior.
Continue from here.
Verify the inputs.
- SEC EDGAR searchPrimary company filings and fund disclosure documents.
- BEA GDP dataOfficial GDP releases, historical comparisons, and release schedule.
- FRED Economic DataEconomic and financial time-series research.
Value guide
How to use this page well.
This section turns "A complete category system for every major investing decision." into a practical resource: what it is, why it matters, how it works, how to use it, and what to do next.
Start here
Start with the summary and use the related links to understand the research path.
- Read the page summary first.
- Open one related article or tool.
- Save the page if it supports an ongoing decision.
Go deeper
Use the page to compare sources, thesis quality, assumptions, risks, and update triggers.
- State the thesis.
- List the evidence.
- Record risks and what would change your view.
Avoid these
- Collecting links without a decision framework.
- Confusing a chart with a complete thesis.
Beginner vs. advanced use
- Beginner
- Understand the concept, source, or workflow and choose one next action.
- Advanced
- Compare assumptions, risks, alternatives, and update triggers before acting.
- Best practice
- Connect this page to a written rule, saved resource, or repeatable review process.
What should I do next?
Use the page to answer one specific question, then continue to the most relevant supporting resource.