On this page5.1 Design Philosophy

CHAPTER 05

APPM — Asymmetric Payment Price Mechanism

비대칭 결제 가격 메커니즘

5.1 Design Philosophy

APPM (Asymmetric Payment Price Mechanism) is a price-preservation protocol built to resolve a structural contradiction that runs across the whole industry: “payment = sell.” Three ideas hold it together.

Structure, not price defense

APPM does not step into the market to defend a price. It engineers a structure in which payment activity generates buying demand on its own, and price support follows from that structure. This distinction is decisive for legal and regulatory safety.

Asymmetry — a floor, no ceiling

When the price rises. Because Credit AAG sits off-chain, a shift into Credit AAG during an Exchange AAG rally creates no sell pressure on the exchange. When the price falls. When Exchange AAG falls, cardholders buy on the exchange instead, and price support follows naturally.

Layered by design

No single mechanism carries the weight. Three layers — the core engine (top-up bonus), the safety net (VWAP Floor), and the accelerator (effective supply reduction) — cover for one another when any one of them weakens.

5.2 Layer 1: The Top-Up Bonus Buy Engine (~95% of contribution)

FIGURE 4 — APPM 3-Layer Diagram
Figure 5-1. The three layers of APPM

APPM’s core engine is the top-up bonus buy mechanism. When a user loads funds onto the card, a set share of that amount — 4% Standard, 6% Platinum, 8% Black — is paid out in Exchange AAG.

The payout runs in two stages.

STEP 1

While the bonus pool lasts

Exchange AAG comes straight out of a pre-allocated bonus pool (5% of total supply). No exchange buying happens in this period, so the direct market impact is neutral. The bonus carries 6-month vesting, so it cannot be sold immediately.

Market impact: neutral

STEP 2

After the pool runs out (structural buying)

Once the pool is empty, Ayla has to buy Exchange AAG on the exchange to keep paying the bonus. This buying continues for as long as the card is in use. It is not “price-defense buying” — it is normal business activity to fund a bonus program.

Structural buying begins

The math behind that demand:

After the bonus pool is depleted:

D_bonus(t)       = TV(t) × b
D_bonus_token(t) = TV(t) × b / P(t)

(Eq. 5-1) Buy demand after the bonus pool is depleted. TV is card top-up volume, not payment volume.

TV(t)

DefinitionTotal card top-ups at time t (USD)

b

DefinitionAverage bonus rate (weighted across card tiers, roughly 4–8%)

P(t)

DefinitionExchange AAG market price

Scale simulation (model-based estimate)

10,000

Monthly top-ups (TV)$5,000,000
Bonus rate6%
Monthly buying$300,000
Annual buying$3,600,000

50,000

Monthly top-ups (TV)$25,000,000
Bonus rate6%
Monthly buying$1,500,000
Annual buying$18,000,000

100,000

Monthly top-ups (TV)$50,000,000
Bonus rate6%
Monthly buying$3,000,000
Annual buying$36,000,000

Model-based estimate

This simulation is a model result under assumed conditions, and actual user counts, top-up patterns, and market prices can change the outcome. It does not guarantee any future volume of buying.

5.3 Layer 2: The Asymmetric VWAP Floor (~5% of contribution)

The VWAP Floor is not the main driver of price support. It is an airbag for a sharp drop. The OTC sale price of Credit AAG is set from the 90-day volume-weighted average price (VWAP) of Exchange AAG.

             Σ(i=1..90) P(i) × V(i)
VWAP_90(t) = ─────────────────────────
                 Σ(i=1..90) V(i)

(Eq. 5-2) 90-day volume-weighted average price. Updated daily at 00:00 UTC.

What makes the mechanism work is its asymmetry.

Left — Market price < VWAP (price falling)

For a cardholder, buying Exchange AAG on the exchange at market price beats buying Credit AAG OTC at the VWAP price. Buying demand appears on its own, and it becomes the engine of price recovery.

Right — Market price > VWAP (price rising)

For a payment user, buying Credit AAG OTC at the VWAP reference price is the better deal. But Credit AAG is an off-chain asset, so that trade never touches the exchange sell book. Structurally, no sell pressure builds against a rising price.

D5-1 · P(t) < VWAP_90 decision diagram

P(t) < VWAP_90

D_arb(t)k × (VWAP_90 − P(t)) × N_payment(t)

P(t) ≥ VWAP_90

D_arb(t)0

(Eq. 5-3) Here k is the payment user's price sensitivity coefficient, and N_payment(t) is the number of active payment users at time t.

5.4 Layer 3: Effective Supply Reduction

Effective circulating supply — effective supply, for short — is the number of tokens actually available to sell in the market. APPM shrinks it dynamically through the components below.

S_eff(t) = S_total − S_treasury − S_vesting(t) − S_staked(t)
                   − S_collateral(t) − S_unbonding(t)

(Eq. 5-4) Effective supply.

S_treasury

EffectPermanently out of circulation
How it worksThe 30% Treasury does not circulate outside operational use (deployed only with prior disclosure)

S_vesting(t)

EffectDeclines over time
How it worksTokens not yet vested

S_staked(t)

EffectGrows with user participation
How it works6 / 12 / 24-month lock-up staking

S_collateral(t)

EffectArrives in Phase 2
How it worksLocked while pledged against a loan

S_unbonding(t)

Effect21-day wait
How it worksReturns to circulation 21 days after unstaking

When effective supply falls, the same buy demand moves the price further. The fewer tokens available to trade, the harder buying pressure lands on price.

5.5 The Math — P(t) = f(D(t)/S_eff(t))

Token price is, at bottom, a function of demand against effective supply.

P(t)   = f( D(t) / S_eff(t) )

P(t+1) = P(t) × (1 + ΔD/D − ΔS_eff/S_eff)

(Eq. 5-5) D(t) is total buy demand at time t; S_eff(t) is effective supply.

Two routes raise the price: (i) raise demand (D), or (ii) shrink effective supply (S_eff). APPM runs both at once.

Demand, consolidated

D_total(t) = D_bonus(t) + D_arb(t) + D_organic(t) + D_restake(t)

Top-up bonus buying

FormulaTV × b
Share (model estimate)About 95%
When it runsAfter the pool empties, permanently, wherever the card is used

VWAP arbitrage buying

Formulak × max(VWAP₉₀−P, 0) × N
Share (model estimate)About 5%
When it runsOnly when the price falls

Organic demand

FormulaVaries
Share (model estimate)Varies
When it runsMarketing, listings, ecosystem growth

Reward restaking

FormulaR × S_staked × ρ
Share (model estimate)Incidental
When it runsWhile staked

About these contribution estimates

These contribution figures are the output of model simulation, and actual contribution in a live market can differ under a range of external factors.

5.6 Simulation Results

About these simulation results

Every simulation result in this section is a model-based estimate, and it guarantees no future price and no future return. Actual results can differ sharply from the model depending on market conditions, regulatory change, user behavior, competition, and other external factors.

5.6.1 Pure Core scenario comparison (24-month simulation, model estimate)

Five scenarios were run over 24 months under identical assumptions — 1 billion total supply, $20K daily organic demand, 5,000 new users per month, and a starting price set to the simulation model’s calibration reference. Relative contribution came out as follows.

X (no mechanism)

VWAP×
Bonus×
Staking×
Lending×
Relative price-support contributionBaseline

A (core VWAP only)

VWAP
Bonus×
Staking×
Lending×
Relative price-support contribution+2%

B (+ top-up bonus)

VWAP
Bonus
Staking×
Lending×
Relative price-support contribution+65%

C (+ staking)

VWAP
Bonus
Staking
Lending×
Relative price-support contribution+14%

D (full mechanism)

VWAP
Bonus
Staking
Lending
Relative price-support contribution+19%

No absolute prices shown

This simulation is a model analysis comparing the relative price-support effect of each mechanism, and absolute price figures are deliberately omitted. AAG’s actual TGE reference price is $0.33, and the market sets the price after exchange listing.

Key observations

  • VWAP Floor on its own: about 2% (scenario A vs X)
  • Adding the top-up bonus: about 65% (scenario B vs A)
  • Accelerators, staking plus lending: about 33% (scenario D vs B)
  • → The model confirms the top-up bonus as APPM’s real core engine

5.6.2 Tokenomics parameter sensitivity simulation (model estimate)

This is a sensitivity analysis: how the 24-month price model output shifts when core tokenomics parameters change — TGE Float, Treasury share, bonus pool, vesting period, and so on.

AAG as-is (baseline)

TGE Float*10%
Treasury30%
Bonus Pool5%
Avg. vesting24 months
Relative price index (model)1.00
Max drawdown52.1%

Comparator A (balanced)

TGE Float*5%
Treasury25%
Bonus Pool10%
Avg. vesting36 months
Relative price index (model)1.39
Max drawdown44.6%

Comparator B (longer vesting)

TGE Float*3%
Treasury35%
Bonus Pool12%
Avg. vesting48 months
Relative price index (model)2.24
Max drawdown37.3%

*TGE Float = the share of total supply immediately tradable right after TGE (excluding non-circulating amounts such as Treasury, Founder, and unvested tokens).

About this sensitivity analysis

The relative price index above compares simulation model outputs under identical assumptions (AAG as-is normalized to 1.00), and it does not predict or promise an actual market price. Comparators A and B are hypothetical scenarios for analysis, and the parameters this whitepaper adopts are “AAG as-is.” Any future change to tokenomics parameters goes through the governance process and is disclosed to users and the community in advance.

5.6.3 Infrastructure-linked token models

Two cases are worth looking at, where token value came from native utility and infrastructure linkage rather than the macro cycle. This comparison sets out structural similarity, and it does not predict or promise a future price.

2017

TokenBNB (Binance Coin)
Infrastructure linkExchange infrastructure — fee discounts, IEO

2021

TokenCRO (Crypto.com)
Infrastructure linkPayment card — staking, cashback

2026

TokenAAG
Infrastructure linkAPPM patents + dual token engine + Visa payment card integration

This table compares structural similarity in infrastructure linkage only, and does not address price performance.

Scope of this comparison

This comparison explains structural similarity in infrastructure linkage only, and does not imply anything about AAG’s future price or suggest that AAG will perform like any other token.

Both cases share a pattern: (i) token value tied directly to real usage infrastructure, an exchange or a payment card, and (ii) a mechanism that turned rising usage into buying demand. AAG’s APPM is the first attempt to structure both patterns as a patent-protected mathematical model.

5.6.4 Conclusion — what APPM lives or dies on

The simulations consistently point to one conclusion. Every APPM mechanism assumes cardholders. The top-up bonus buy engine only runs if top-ups happen, and the VWAP Floor only bites if payment users take the arbitrage. So the primary KPI for this project is not the token price. It is the number of active cardholders.

5.7 The Dual Utility Cycle — payment utility and holding utility, together

What sets APPM apart is not that it cushions a fall. It builds a self-sustaining cycle that strengthens payment utility and long-term holding utility at the same time. This section covers how that cycle forms.

No investment return is promised

This section explains the token’s utility structure. It promises and guarantees no investment return of any kind. AAG is designed as a utility token, as stated in section 14.1 of this whitepaper, and the “holding utility” described in this section means utility arising from functional use of the token — payment, staking, and ecosystem participation. The market determines the token’s price. Ayla does not promise price appreciation and does not intervene in the price directly.

5.7.1 Two kinds of market demand

Market demand around a crypto payment token splits into two kinds.

Payment users

What they wantStability — spending power that does not move with the price
What they fearLosing spending power when the token crashes

Long-term holders

What they wantUtility that lasts — staking, payment, ecosystem benefits
What they fearStructurally heavy sell pressure, or utility that erodes

The old single-token payment card model could never satisfy both. Stabilize the price and holding appeal disappears; let the price move and payment users leave. The two were structurally incompatible.

5.7.2 How the dual value cycle forms

AAG’s dual token, APPM, Recycling Policy, and cashback structure satisfy both demands with separate tools at the same time.

D5-2 · The dual utility cycle — six steps

STEP 1

Payment utility forms

  • Card payment → Credit AAG cashback (2.2%)
  • → Offsets and reverses infrastructure fees (effective fee ≤ 0)
  • → Known as "the payment card whose fees run negative"

STEP 2

The payment user base expands

  • Cardholders ↑ + top-up volume ↑ + interchange revenue ↑
  • → APPM Layer 1 (top-up bonus buying) runs harder
  • → Recovered Exchange AAG accumulates in the Treasury

STEP 3

Effective supply falls

  • Direct exchange buying (bonus) + recovered Exchange AAG locked up
  • + staking lock-ups + tokens not yet vested
  • → Less Exchange AAG available on the market
  • → The same buy demand moves the price further

STEP 4

The 90-day VWAP catches up

  • Exchange AAG market price rises → VWAP reference rises 90 days later
  • → Credit AAG OTC price rises gradually
  • → Existing Credit AAG holders keep their spending power

STEP 5

Holding utility forms

  • The VWAP lag secures payment stability
  • → Exchange AAG held for payment, staking, ecosystem use
  • → Voluntary buying and long-term holding

STEP 6

Holding demand feeds payment utility back

  • Exchange AAG ecosystem utility ↑ → the bonus is worth more
  • → The card gets more attractive
  • → New payment users come in ↑

↻ Back to STEP 1

5.7.3 How the two utilities reinforce each other

Payment utility (Credit AAG cashback → effective fee ≤ 0)

MechanismThe more a user pays, the lower the cost runs
Effect on the other utilityCard usage ↑ → interchange revenue ↑ → APPM bonus buying ↑ → holding utility strengthens

Holding utility (Exchange AAG for payment, staking, ecosystem use)

MechanismThe 90-day VWAP lag delivers payment stability and OTC arbitrage incentive at once
Effect on the other utilityVoluntary holding ↑ → effective supply ↓ → token utility steadies → payment utility strengthens

The two utilities appeal to separate user groups — payers and long-term holders — yet each one gets stronger when the other does. A single-token model cannot produce this structurally. It comes out of the combination of dual token, APPM, and Recycling Policy.

5.7.4 The decisive role of the 90-day VWAP

In this cycle the 90-day VWAP does more than compute a price. Its 90-day lag creates three effects at once.

  1. (1) Payment users are protected. It separates the OTC price of Credit AAG from short-term market swings and holds payment stability in place.
  2. (2) Holding utility stays stable. Because short-term market moves reach the VWAP only gradually, long-term holders can use the token’s payment utility, staking utility, and ecosystem functions without being shaken by short-term volatility. This steadies the value of holding on utility grounds rather than on price.
  3. (3) Arbitrage stays live. Whenever the market price sits above or below the VWAP, a voluntary arbitrage incentive appears for payment users. Below the VWAP, exchange buying wins; above it, buying Credit AAG OTC wins (see 5.3).

5.7.5 What a resilient token economy means

Once this cycle closes, the AAG token economy becomes resilient in three respects.

  1. (1) A layered demand base. Payment demand, investment demand, arbitrage demand, staking demand, cashback recycling demand — five or more independent demand channels run at the same time. If one weakens, the others cover for it.
  2. (2) No dependence on inflation. Rewards are funded from recovered Exchange AAG and company fee revenue, so the model does not rely on open-ended inflationary issuance.
  3. (3) A self-reinforcing loop. Card usage ↑ → price support ↑ → voluntary buying ↑ → bonus value ↑ → card usage ↑. The loop strengthens itself without outside capital coming in.

A single mechanism cannot get here: a token economy where the interests of different market participants line up. The design targets three things at once — stability for payment users, utility that lasts for long-term holders, and a sustainable business base for Ayla.

Scope of this cycle analysis

The cycle analysis in this section is a structural explanation of design principles, and it does not guarantee future price appreciation, user growth, or business results. Actual results can differ depending on market conditions, user behavior, competition, regulatory change, and other external factors.

CHAPTER 05 IN SHORT

APPM runs on three layers. Top-up bonus buying is the engine (about 95%), the VWAP Floor is the airbag (about 5%), and effective supply reduction is the accelerator. All three depend on one thing — the number of active cardholders.

See Risk Disclosure →
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