Understand What Is Driving Crypto — and What Can Break.

Latest research

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  Missing Cost Basis: The Data Problem Crypto Tax Software Cannot Solve for YouSeptember 11, 2026
  Crypto tax software can carry cost basis through a complete history. It cannot reconstruct an acquisition that was never imported. A zero-cost assumption is often a warning, not a discovered fact.
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  Why Your Crypto Portfolio Tracker Balance Is WrongSeptember 9, 2026
  A wrong tracker balance is usually a data-path problem: missing accounts, stale syncs, duplicate imports, bad token identity, unmatched transfers or an unsupported DeFi position.
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  Wallet Address vs Exchange API vs CSV: Choose the Evidence, Not the ConvenienceSeptember 7, 2026
  Wallet addresses, exchange APIs and CSVs expose different ledgers. Build an account-by-period source map so every event has one primary source, documented gaps and no overlapping imports.
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  Read-Only API Keys Are Not Harmless: Connect a Portfolio Tracker SafelySeptember 4, 2026
  A read-only exchange API key should not move funds, but it can expose balances, positions and transaction history. Treat it as sensitive financial data, not as a disposable login.
• 
  How to Research a Crypto Asset: Evidence Before NarrativeSeptember 3, 2026
  Research a crypto asset by separating four ledgers—protocol, token, market and control—then attack one falsifiable claim. The weakest decisive link matters more than a project score.
• 
  Crypto Portfolio Trackers: What They Know, What They Guess, and What They MissSeptember 2, 2026
  A crypto portfolio tracker can reconcile records and calculate from imported data. It cannot prove that the data is complete, infer every missing acquisition, or turn an unsupported token price into truth.

Three research desks. Two jobs: understand the market and stress the decision.

Cryptophia follows the mechanisms moving crypto and the infrastructure investors rely on. These three desks connect current market evidence with practical decision research without turning every signal into a trade call.

Research frameworks you can reuse

These are the working tools behind Cryptophia conclusions. They are designed to be reused, challenged and cited—not to force every reader into the same product or market view.

• On-Chain Metric Definition Framework — record the definition, address or entity set, transformation, timestamp and revision policy before treating a blockchain chart as an economic fact.
• Hardware Wallet Threat Model Matrix — map malware, recovery theft, physical loss, malicious approvals, inheritance and other custody failures to controls, residual risk and response.
• Crypto Exchange Total Cost Checklist — compare the complete route from funding and FX through execution, withdrawal, settlement and records instead of relying on one advertised trading fee.
• Crypto Tax Record Audit Template — test account completeness, transfer matching, acquisition history, classifications, valuations and source evidence before trusting software output.
• Crypto Risk Assessment Worksheet — separate thesis conviction from leverage, liquidity, counterparty, custody, protocol, stablecoin and exit-route risk before sizing a position.

Browse research notes and reusable methods →

What makes a Cryptophia conclusion worth reading

• Primary evidence before commentary: contracts, regulators, filings, protocol documentation, vendor specifications and direct datasets come first.
• Failure modes before rankings: we ask what can break, who controls the dependency and what happens when the normal path stops working.
• Evidence boundaries are explicit: documentation-led analysis never pretends to be hands-on testing, and commercial relationships do not determine the conclusion.
• Judgments must be falsifiable: where a conclusion depends on assumptions, we state the evidence or condition that would change it.
• Original work earns priority: data comparisons, threat models, evidence matrices and decision frameworks take precedence over publishing another generic explainer.

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