GTM3 min read
The Token Supply Crisis of 2026 is not a Market Problem. It is a Design Problem.
In the first two months of 2026 alone, over 540,000 new tokens were launched across Ethereum, Solana, and Base. However only 0.1% will survive.
Tokenomics Simulations
A base case projection isn’t a test. We run your model through volatility, low liquidity, and coordinated sell pressure using Python-based stochastic simulation, then hand you specific parameter changes, not just a report.
Tokenomics simulation uses stochastic and deterministic modelling to test how a token economy behaves under real market conditions, considering volatility, low liquidity, and coordinated sell pressure, rather than relying on a single base-case projection. Blockphrase runs Python-based simulations across multiple scenarios and delivers a report with specific, actionable parameter adjustments.
Tokenomics Simulations
Stochastic simulation across volatility scenarios
Deterministic modelling of unlocks and supply/demand
Adversarial scenario testing
Sensitivity analysis on key parameters
Visualized simulation report
Methodology
Every service we offer, whether it’s an audit, a new design, a simulation, or a tokenization structure, runs through the same underlying discipline.
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Test against real market conditions: Python-based stochastic simulation across volatility scenarios, adversarial testing for sell pressure and exploit attempts, and sensitivity analysis on the parameters that matter most.
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Tokenomics
Insights
GTM3 min read
In the first two months of 2026 alone, over 540,000 new tokens were launched across Ethereum, Solana, and Base. However only 0.1% will survive.
GTM8 min read
Most token projects that fail post-TGE made their fatal decisions six months before launch. Here are the nine structural red flags that predict a post-launch collapse, and what healthy alternatives look like.
Tokenomics5 min read
Berachain raised $142M, launched with record testnet numbers, and watched farmers leave the moment emissions slowed. This isn't a Berachain problem — it's a design problem. And it starts in the tokenomics.
Common questions
A test of how a token economy behaves under real market conditions instead of a single base-case projection. Blockphrase runs Python-based stochastic simulation across volatility scenarios, deterministic modelling of unlocks and supply and demand, and adversarial scenarios such as coordinated sell pressure.
Stochastic simulation runs the model across many volatility scenarios. Deterministic modelling maps scheduled events, such as unlocks, against supply and demand. Blockphrase uses both.
A visualized simulation report with sensitivity analysis on key parameters, and specific parameter changes rather than just a report.
We take on a limited number of engagements at a time to keep advisory quality high. A short scoping call tells us both, quickly, whether this is a fit.