⚙️Sources of Inflation & Deflation

Inflationary side (programmatic issuance):rewards, NFT-linked outputs, incentive emissions, and other structured releases.

Deflationary side:LOOP accumulated in the Tax Pool may be periodically burned or time-locked; selected exit paths also include burn mechanics. Together with the savings cadence—Points conversion → LP admission → per-round capacity increases—the model aims to steer demand pressure into LOOP buy-pressure and Tax Pool accruals, while steering market depth into long-term LP supply.

Condensed design credo (the three MUSTs):

  1. Participation must pair with LP→ usage translates into real LOOP demand and Tax Pool accruals.

  2. Income must accrue to the Treasury→budgeting & buybacks execute on cadence within governance guardrails.

  3. Exceptions must be orderly→resolution via linear Points compensation continues until fully settled.

These three institutional constraints form the bedrock of LOOP tokenomics.

Keynesian Element

LOOP Mechanism

Technical Realization

Policy-led fiscal stimulus

Attractive deposit issuance(higher programmatic daily issuance to draw USDT) and DAO profit participation for distribution

Decentralized, contract-enforced execution reduces discretion and bureaucratic lag; budget taps governed by on-chain thresholds, time locks, and audits

Central bank money expansion

Rule-driven issuance/burn via slippage tax / Tax Pool and scheduled buyback-and-burn

Transparent, auditable parameters on-chain prevent discretionary over-issuance; emissions/burns bounded by governance guardrails

Public works to create employment

Governance NFTs and contributor incentives to mobilize community work streams

Tokenized contribution accounting(Points/weights) ties participation → rewards, aligning labor-like inputs with measurable outcomes

Debt-cycle management challenge

Position resolution algorithms plus daily linear compensation for orderly settlement

Mathematized risk sharing dampens herd behavior; state transitions and queues are deterministic, logged, and replay

Policy lag

Condition-based triggers from real-time on-chain telemetry; parameters adjusted within bounds

7-day epoch cadence enables rapid, predictable iteration versus traditional quarterly policy cycles

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