Economic Simulation & Financial Modelling

Economics Design provides comprehensive economic forecasting and stress-testing services for token economies, combining Excel-based financial models with advanced agent-based simulations to project scenarios 5+ years into the future.

Financial & Economic Modelling (Weeks 1-2)

Economics Design builds customizable Excel-based models that provide financial and economic modelling of the entire token economy. These models deliver insights into financial impact for all economic agents and inflation dynamics for all asset types. Clients receive adjustable scenario analysis capabilities to understand the impact of various assumptions and market conditions. The models come with detailed documentation to make them user-friendly for ongoing internal use, allowing teams to understand and refine key economic parameters before token launch.

Machinations Agent-Based Simulation (Weeks 3-4)

The service includes specialized agent-based simulation in Machinations, a platform designed for modeling game and token economies. These simulations stress-test the economy to expose potential issues with economic sustainability before launch. The dynamic environment allows teams to balance faucets and sinks across different scenarios, understanding how their economy functions before launch. Post-launch, teams can plug in actual data to refine simulated forecasts based on real market behavior.

Revenue Channel Optimization

The simulation service optimizes revenue channels through scenario modeling, allowing clients to test different revenue models, pricing strategies, and monetization approaches. Simulations account for various market conditions, user behaviors, and competitive dynamics. Projects can see how their business and token economy perform across different scenarios including bull markets, bear markets, varying adoption rates, and different competitive pressures.

Stress Testing & Risk Analysis

Economics Design's simulations provide forward-looking analysis that helps teams prepare contingency plans and build more resilient economic designs. The combination of Excel-based modeling and agent-based simulation provides both quantitative projections and behavioral insights. This dual approach enables projects to identify attack vectors, validate incentive mechanisms, and understand market dynamics before committing resources to implementation.