ivx-economy-simulator

You can balance a game economy by modeling currency sources and sinks to visualize net flow, then running Monte Carlo simulations across multi-thousand-player scenarios to forecast inflation rates and the Gini coefficient.

The Gini coefficient measures wealth inequality among players during a game economy simulation. Tracking it across Monte Carlo scenarios helps identify wealth concentration, inflation risk, and unfair monetization patterns.

Detect inflation risk by modeling currency sources and sinks to evaluate net flow, then running Monte Carlo simulations to forecast 90-day inflation rates. Real-time monitoring alerts you to inflation, deflation, and economy imbalance.

Yes, simulated economy configurations deploy directly to Hiro economy settings and integrate with Satori analytics across Unity, Unreal, Godot, and web platforms to monitor live economy health.

Optimize store pricing through A/B testing and elasticity analysis, while designing reward curves with customizable growth functions to create balanced progressive leveling systems within the virtual economy.

Run a 90-day Monte Carlo simulation for a multi-thousand-player economy to forecast currency balances. This projects net flow, inflation rates, and the Gini coefficient to detect potential economic imbalances.