Token Issuance Regulation

The AINDX AI analyzes global macroeconomic indicators to adjust token issuance according to real purchasing power.

The system takes into account data on:

1. Official inflation (CPI, PPI, Core Inflation)

2. Real inflation (alternative indicators such as the cost of a basic consumer basket, data from independent research groups)

3. Exchange rate dynamics (FX), money supply (M2), and real GDP

Countries Analyzed

The algorithm uses weighted average values of economic indicators from top countries.

Country	Official CPI (%)	Real Inflation (%)	Data Sources
USA	3.2%	~7–10%	Bureau of Labor Statistics, ShadowStats
Eurozone	2.9%	~6–8%	Eurostat, cost of living indexes
United Kingdom	4.1%	~9–12%	UK ONS, National Institute of Economic and Social Research
China	0.9%	~3–5%	National Bureau of Statistics of China, Caixin
Japan	2.5%	~4%	Bank of Japan, consumer price indexes
Canada	3.3%	~6–7%	Statistics Canada, alternative CPI measures
Australia	3.8%	~7%	Australian Bureau of Statistics
India	5.6%	~9–11%	Reserve Bank of India, World Bank
Brazil	4.5%	~10%	IBGE, FGV Economic Indicators

How does AINDX account for the difference between official and real inflation?

The AI algorithm calculates the inflation correction coefficient I_correction — to determine how much official data deviates from real data.

$$I_{\text{correction}} = \frac{\sum_{i=1}^{N} (I_{\text{real},i} - I_{\text{official},i})}{N}$$

• ΔP — delta to be applied for adjustment

• M_base — base money supply in the system

• M_circulation — tokens in circulation

• I_adjustment — adjustment coefficient determined by AI based on macroeconomic indicators

When ΔP > 0, the system decreases emission, implements a token buyback mechanism from the market, and increases liquidity in the trading pool.

When ΔP < 0, the system increases token emission, provides additional incentives for token sales through rewards, and adjusts liquidity to maintain balance.

Final Formula for Token Issuance Calculation

$$M_{\text{new}} = f(\text{CPI}, \text{FX}, M2, \text{GDP}, L_{\text{current}}, R_{\text{current}}, I_{\text{correction}})$$

• CPI — official inflation

• FX — exchange rate

• M2 — money supply

• GDP — real economic growth

• L_current — current liquidity

• R_current — reserve fund

• I_correction — correction coefficient (the gap between real and official inflation)

Example of Algorithm Operation

Scenario 1: Official inflation in the USA — 3.2%, real — 8%.

• I_correction = 4.8 The AI increases the token issuance rate to reflect the real inflation level.

Scenario 2: Eurozone CPI — 2.9%, real — 7%.

• I_correction = 4.1 AINDX adjusts issuance to ensure users do not lose purchasing power.

Scenario 3: Japan: CPI — 2.5%, real — 4%.

• I_correction = 1.5 Minimal issuance correction, as the gap between real and official inflation is small.