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Finance Principles

Finance is the flow of capital toward value. Two legs carry the same body.

Tightness Diagnostic — 5/5

Principles is the tightest P in finance. The math is invariant. The questions are invariant. What changes is who answers them and how fast.

  • Why 5/5 — Time-value-of-money, discounted cash flow, risk-return, double-entry — codified since 1494 and unmoved by AI.
  • What compounds — Every cycle of agentic disruption re-validates the same five questions. The arithmetic does not bend.
  • What to teach — Refuse to skip a question. An agent that skips counterparty diligence to chase a yield curve is still wrong, even at machine speed.

Traditional finance — equities, fixed income, private companies, funds. Settles through custodians, registries, bank rails.

Crypto and DePIN finance — tokens, protocols, treasuries, physical-yield networks. Settles on-chain, verifiable, programmable.

Different rails. Same questions. What is it worth? Who pays? When does the cash come back? Did the model match reality?

The Five Questions

Every finance task answers one of five questions. Memorize the order. Refuse to skip.

  1. What is it worth?Valuation methods (DCF, comps, LBO, three-statement)
  2. What did it just say?Earnings analysis, filings, calls
  3. Should we buy it?Investment committee memo, diligence, screen
  4. Who is the counterparty?Know-your-customer framework, onboarding, source-of-funds
  5. Did the model match reality? — Reconciliation, variance commentary, post-close review

Stop on any one. Get it wrong and the next four compound the error.

A sixth question is forming as agents enter the loop: who is accountable when the agent commits? It is not yet a finance question. It is becoming one.

The Two Legs

Traditional finance

Investment banking, equity research, private equity, wealth management, fund administration. Public and private market work. Custodians and registries enforce ownership. Auditors enforce truth. Read the traditional leg.

Crypto and DePIN finance

Tokenized value, on-chain treasuries, physical-yield networks. The pipe replaces the registry. The contract replaces the ledger. Read the crypto leg and the existing business templates for the operating side.

Why Both Matter

The bond market is bigger than every crypto market combined. The crypto market is the laboratory where the next decade of financial primitives ships. A firm that knows one but not the other limps. A firm that knows both walks.

Methods translate. A discounted cash flow on a software business and a discounted cash flow on a yield-bearing token use the same arithmetic. The hard part is the inputs and the assumptions. The arithmetic is the easy part.

Universal Methods

The methodology hub carries the techniques both legs share:

The Discipline

Finance rewards the patient and punishes the loose. Three habits separate the durable from the unlucky:

  1. Reconcile before you believe. Compare what the model says to what reality reports. Variance is a signal, not a nuisance.
  2. Stage outputs for sign-off. Models, memos, notes draft for review. They do not bind risk on their own.
  3. Write down the assumptions. Every input has a source. Every source has a date. Every date has a half-life.

Discipline beats genius. Both legs prove it. The agentic leg compounds it — discipline is the only constraint that scales with capability.

Agent-Era Addendum

Three things change when an agent answers the five questions on your behalf:

  1. Sign-off becomes the moat. Anyone can generate a memo. The qualified human who binds the decision is what makes the memo a result.
  2. Provenance replaces signature. When the agent runs the model, the receipt — inputs, prompts, versions, outputs — is the audit trail. Build the loop before scaling the agent.
  3. Bubbles do not soften. Minority-game math is information-theoretic, not psychological. Agents accelerate the math; they do not escape it.

The principle is unchanged: the five questions, in order, with sign-off. The instrument is changed.

See Also

  • Data Flow — Entities, relationships, the data footprint behind every finance question

Questions

Which question am I answering — worth, signal, buy, counterparty, or reality check?

  • Does the method match the question, or am I running the method I know best?
  • Have I sourced every input with a date?
  • Who signs off before this output binds a decision?