Tokenomics simulation. Stress-tested before launch.
FinDaS runs Monte Carlo simulations on token economies, testing hundreds of scenarios across market conditions, user behaviour, and liquidity assumptions to identify where a design breaks before launch. With 200+ tokenomics engagements completed since 2017, including Input Output Group's Midnight network, FinDaS delivers two deliverables per simulation: a live, interactive model and a written findings report.
Simulations run in Machinations, a visual tool that lets your team explore token flows and dependencies without reading code. The engagement includes intro and exit calls, open communication throughout, and multiple iterations on the deliverables. We recommend simulations for Layer 1 blockchains, DeFi protocols, and gaming projects, but any project with existing tokenomics can benefit from stress-testing before launch.
Led by Hristo Piyankov, Lead Token Economist, in crypto since 2015, full-time since 2018.
Book a free introductory callWhat a simulation actually looks like.
This sample Machinations model shows a fictional token economy. Click into it to explore the token flows, agent pools, and pricing logic. This is the same format your simulation would be delivered in.
What's in the report.
Every simulation engagement includes a written findings report covering the executive summary, core correlations between system variables, and an examination of outlier scenarios where the economy is at risk. The sample report here is based on a fictional project.
Download the sample report (PDF)Why simulate?
Test long-term sustainability
A token economy that works in year one can collapse in year three if emission schedules, staking rewards, or treasury outflows are miscalibrated. Simulations run the full timeline so you can spot problems before they compound.
Build investor confidence
Investors want evidence that your tokenomics holds up under pressure. A simulation report with Monte Carlo stress-test results is concrete proof that you have tested your assumptions, not just modelled the best case.
Catch edge cases early
Traditional financial modelling covers the average scenario. Simulations cover the rest: what happens when liquidity drops 80%, when APY farmers exit simultaneously, or when a single whale controls 15% of supply. These are the scenarios that kill projects.
Input Output Group worked with FinDaS to design and validate the Midnight network tokenomics. FinDaS understood our unique and complex needs, acting as a trusted partner to our research team. Their professional, timely, and detailed work exceeded our expectations.
The questions we keep getting.
Can't find your answer below? Book a free intro call, we'll work through it with you, live.
01 What is a tokenomics simulation? +
02 How is a tokenomics simulation different from traditional financial modelling? +
03 What tool does FinDaS use for tokenomics simulations? +
04 What types of projects benefit most from a tokenomics simulation? +
05 Can a tokenomics simulation predict token price? +
06 Do I need an existing tokenomics design before commissioning a simulation? +
Ready to stress-test?
Free, no obligation, no juniors. We'll talk through your tokenomics and whether a simulation is the right stress test for your design, before you commit to anything.