How do you want to run?
Step-by-step: Price → Allocation → Digital Twin → Pro Report
Launch Workflow
Run Initial Price Optimization, then use the result in Allocation and Digital Twin.
Simulation Type
Basic Parameters
Price Dynamics
Staking & Growth
Experiment Selection
Monte Carlo Parameters
Simulation Settings
Month 1 = first month, Month 2 = second month, etc.
Token DNA
Allocation Matrix
Units & scale:
- Allocation % — Percent of total supply (0–100). Must sum to 100%.
- TGE Unlock — Fraction 0–1 of this allocation that unlocks at Token Generation Event. E.g.
0.15= 15%,0.2= 20%. - Cliff (months) — Lock-up period in months before vesting starts. E.g.
6= 6 months,12= 1 year. - Vesting (months) — Duration in months over which the remaining tokens vest after the cliff. E.g.
24= 2 years,36= 3 years.
| Name | Allocation % | TGE Unlock (0–1) | Vesting | Cliff (months) | Vesting (months) | Actions |
|---|---|---|---|---|---|---|
Treasury & Buyback Policy
When enabled, treasury can deploy to buy from the market (and burn) when trigger conditions are met.
How buybacks are triggered. Static = price floor logic. Dynamic NAV = reacts to treasury+liquidity+market cap. Hybrid = blend.
Max share of available treasury deployed when buyback triggers. Higher = faster treasury spend.
Weights the “fundamental” (NAV) component in the buyback target calculation.
Weights current market price in the buyback target calculation. NAV Weight + Price Weight should sum to 1.
Agent Logic
Fraction of holders modeled as long-term; affects panic selling and resilience to drawdowns.
If price falls more than this fraction from the initial price, long-term investors begin panic selling.
Share of activity driven by whales/LPs; affects liquidity withdrawal behavior in stress.
How aggressively LP liquidity is withdrawn when price drops. Higher = faster liquidity decay under stress.
Amplifies volatility when speculative behavior dominates. Higher = more volatile price path.
Network Environment
Network fee environment used by the gas friction model. Higher gas reduces activity/volume when enabled.
When enabled, gas fees reduce transaction activity/volume (gas friction). Uncheck to ignore fee friction.
Stress-Test Visualizer
Temporarily increases emissions by the selected intensity for the chosen duration.
0.5 = +50% emissions while active (multiplier = 1 + intensity).
Disables treasury buybacks for the duration (stress test for “no support bid”).
Drains a % of treasury tokens per day (compounding) for the chosen duration.
≈ 95.8% drained over 30 days (compounding)
Forces a one-time unlock of a % of remaining locked treasury on the chosen day (simulates unexpected cliff releases).
Day 180 ≈ month 6 (30-day months in the simulation).
0.1 = unlock 10% of locked treasury supply on that day.
Temporarily increases staking incentive sensitivity (stress test for “APY shock” / staking surge).
2.0 = 2× staking response strength while active.
Scenario Selection
Compare Two Simulations
Configure:
Note: Configure Simulation 1 and Simulation 2 with different parameters using the tabs above. Each runs as an independent Digital Twin with its own allocation, stress tests, and token DNA. Use the Allocation section (with units guide) above to set TGE Unlock (0–1 fraction), Cliff (months), and Vesting (months) per category.
Initial Price Optimization
Stage 1: Initial Params Optimization
This optimization uses 14 non-linear models to find the optimal initial price that minimizes system friction and maximizes psychological demand.
This optimization uses 14 non-linear models to find the optimal initial price that minimizes system friction and maximizes psychological demand.
Tune what “optimal” means. 0.5 = neutral. These sliders adjust model weights (like Allocation Tradeoffs).
0.50
0.50
0.50
0.50
0.50
These assumptions change the environment the price is optimized for.
Used by liquidity efficiency, mcap/TVL, and whale entry constraints.
Used to estimate early investor ROI multiple → dump pressure.
Runs full optimization curve ($0.001 to $2.00) across 14 non-linear models.
Note: This may take several minutes. The optimization tests multiple price points and returns the optimal price with detailed scores for all 14 models.
Token Allocation Optimization
Stage 1: Initial Params Optimization
This optimization uses 10 utility curve models to find the optimal token allocation distribution across all stakeholders.
This optimization uses 10 utility curve models to find the optimal token allocation distribution across all stakeholders.
Uses K-factors regressed from ~30 real projects in this category. Business Tradeoffs tune the optimization.
Adjust strategy dials (0–100%). 50% = neutral. Affects how K-factors weight allocation preferences.
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
Note: Comprehensive optimization tests 200+ allocation strategies. This may take 5-10 minutes.
Generate Comprehensive Report
Stage 3: Report Generation
Generate a comprehensive report combining optimization results and simulation results.
Generate a comprehensive report combining optimization results and simulation results.
ID from initial price optimization
ID from allocation optimization
ID from a completed Digital Twin simulation
Running simulation
Simulation Results
CompletedOverlay Comparisons
Price Comparison (Overlay)
Median price path (P50) comparison
Liquidity Comparison (Overlay)
Total Liquidity Pool ($M) comparison
Emissions Comparison (Overlay)
Gross emission schedule comparison
Vesting Unlocks Comparison (Overlay)
Token unlock schedule (M/month) comparison
Individual Simulation Charts
View full Digital Twin charts for each simulation:
Price Dynamics
Liquidity Depth
Emissions
Vesting
Price Dynamics
Probability Fan chart (P10-P90)
Liquidity Depth
Total Liquidity Pool ($M)
Emissions Curve
Token Inflation Schedule (M tokens/month)
Vesting Timeline
Token Unlock Schedule (M Token)
Stability Heatmap
System Stability Analysis (Emission vs Burn Rate)
Stress-Test Visualizer
Shows baseline vs stress-test price paths. Pick a stress type, set intensity/duration, then click Apply & Re-run to update and run the simulation.
Max Deviation: -
Avg Impact: -
Simulation Timeline
Month: 0
0
12
24
36
48
60
3.5 Years
Simulation Events
No events recorded
Download Results
Welcome to IDZ Simulator
Configure your simulation parameters on the left and click "Run Simulation" to start.
Results will appear here including charts, statistics, and downloadable files.