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Token issuance, unlocks and dilution

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Start with the idea

More tokens can mean a larger balance without a larger claim on the system. Separate unit growth from ownership share and value.

Symbols, units & horizon
  • P_0,P_1: token USD prices before/after in a constant-network-value scenario
  • S_0,S_1: outstanding token units under one consistent supply definition
  • time interval: specified issuance/unlock scenario

When and why to use this

Audit whether a token-return narrative confuses issuance, unlocks, ownership percentage and economic value.

More tokens can mean a larger balance without a larger claim on the system. Separate unit growth from ownership share and value.

Circulating supply, total supply and fully diluted supply answer different questions. An unlock transfers previously restricted supply into tradable hands; it does not necessarily create new tokens at that instant.

A constant-total-network-value illustration isolates dilution arithmetic. It is not a price forecast: demand, token rights and market structure can change alongside issuance. Market capitalization is price times the selected supply convention, not cash available for redemption.

P1=P0S0S1
Algebra under an explicitly constant total-value assumption

Token issuance, unlocks and dilution

  1. Assume the total marked network value stays P_0S_0.
  2. Equate that value with P_1S_1 after the supply change.
  3. Divide by positive new supply to obtain the scenario price.
Work it by hand

Price $2 and supply 100 million imply $200 million marked value. At unchanged total value and 125 million supply, price=2×100/125=$1.60.

Apply it in a strategy

  • Audit whether a token-return narrative confuses issuance, unlocks, ownership percentage and economic value.
  • Record the input timestamp, executable quantity, currency and horizon. Reconcile the result with a cash-flow or state table.
  • Stress this failure condition: Constant network value is a sensitivity assumption, not a prediction of how investors respond to supply.

Research deliverable

Build and explain a token issuance, unlocks and dilution worksheet. Audit whether a token-return narrative confuses issuance, unlocks, ownership percentage and economic value.

Evidence boundary: Synthetic arithmetic and scenarios illustrate mechanics. They are not historical returns, a paper replication, or evidence of an executable edge. Research sources and their access limitations are recorded at the end of this module.

Python implementation

Self-contained teaching example. Python 3.10+; dependencies and input conventions are shown in the code and notation. Run in your own Python environment.

# Python 3.10+; standard library unless NumPy is imported below.
# Inputs and outputs use the units defined in this lesson. Synthetic teaching example.
def constant_value_price(price,old_supply,new_supply):
    if price<0 or min(old_supply,new_supply)<=0: raise ValueError("Positive supplies required")
    return price*old_supply/new_supply

print(constant_value_price(2,100_000_000,125_000_000))

Continue learning

Crypto Markets: Instruments, Ownership and Cash Flows — all lessons
  1. Base, quote and instrument identity
  2. Returns across two currencies
  3. Order-book depth and average execution price
  4. Stablecoin conversion is an FX route
  5. Custody claims and recovery scenarios
  6. Token issuance, unlocks and dilution
  7. Staking rewards and economic return
  8. A reconciled spot research ledger

Quantitative finance and development glossary · Python resources and libraries · Research sources and limitations