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despiegk
2025-08-27 07:23:44 +02:00
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232
lib/threefold/incatokens/export.v
View File

@@ -1,21 +1,102 @@
module incatokens
import freeflowuniverse.herolib.core.pathlib
import freeflowuniverse.herolib.data.markdown
import freeflowuniverse.herolib.ui.console
import os
import time
// // Export simulation results to markdown report
// pub fn (sim &Simulation) export_report(path string) ! {
// content := sim.render_report()!
// // Write to file
// mut p := pathlib.get_file(
// path: path
// create: true
// delete: true
// )!
// p.write(content)!
// }
const report_template = '# INCA Token Economic Simulation Report
## Executive Summary
This report presents the results of the INCA token economic simulation **{{.name}}**, analyzing various market scenarios and their impact on token distribution, pricing, and investor returns.
### Key Parameters
- **Total Token Supply**: {{.total_supply}} INCA
- **Simulation Period**: {{.nrcol}} months
- **Base Currency**: {{.currency}}
## Token Distribution & Allocation
{{.distribution_section}}
## Vesting Schedules
### Team Vesting
- **Cliff Period**: {{.team_cliff_months}} months
- **Vesting Period**: {{.team_vesting_months}} months
- **Total Team Allocation**: {{.team_allocation}} INCA ({{.team_pct}}%)
### Treasury Vesting
- **Cliff Period**: {{.treasury_cliff_months}} months
- **Vesting Period**: {{.treasury_vesting_months}} months
- **Total Treasury Allocation**: {{.treasury_allocation}} INCA ({{.treasury_pct}}%)
## Economic Parameters
- **Epoch 1 Floor Uplift**: {{.epoch1_floor_uplift}}x
- **Subsequent Epoch Floor Uplift**: {{.epochn_floor_uplift}}x
- **AMM Liquidity Depth Factor**: {{.amm_liquidity_depth_factor}}x
## Simulation Scenarios
{{.scenarios_section}}
## Financial Summary
{{.financial_summary}}
## Investment Analysis
### Return on Investment by Round
{{.roi_analysis}}
## Market Dynamics
### Price Evolution
The token price evolution across different scenarios shows:
{{.price_analysis}}
### Market Capitalization
The projected market capitalization ranges show:
{{.market_cap_analysis}}
## Risk Analysis
### Scenario Sensitivity
The simulation reveals the following sensitivities:
- **Low Demand Scenario**: Conservative market conditions with limited speculation
- **Medium Demand Scenario**: Moderate market interest and trading activity
- **High Demand Scenario**: Strong market demand and active secondary trading
### Key Risk Factors
1. **Market Demand Volatility**: Significant impact on final token prices
2. **AMM Pool Dynamics**: Trading activity affects liquidity and price stability
3. **Vesting Schedule Impact**: Lock-up periods influence circulating supply
## Conclusions
{{.conclusions}}
## Appendices
### A. Methodology
This simulation uses a simplified Dutch auction model combined with AMM (Automated Market Maker) dynamics to project token price evolution.
### B. Assumptions
- All investor rounds are fully subscribed
- Vesting schedules are strictly enforced
- Market dynamics follow the implemented auction and AMM models
---
*Report generated on {{.generation_date}} using INCA Token Simulation Framework*
'
// Export data to CSV
pub fn (sim Simulation) export_csv(sheet_name string, path string) ! {
@@ -91,5 +172,130 @@ pub fn (sim Simulation) generate_financial_summary() !string {
}
lines << '| **Total** | **\$${total_raised}** |'
return lines.join('\n')
}
// Method to generate report from simulation
pub fn (sim Simulation) generate_report(output_dir string) ! {
// Ensure output directory exists
mut output_path := pathlib.get_dir(path: output_dir, create: true)!
// Prepare template variables
mut vars := map[string]string{}
vars['name'] = sim.name
vars['total_supply'] = sim.total_supply.str()
vars['nrcol'] = sim.price_sheet.nrcol.str()
vars['currency'] = sim.currency
vars['team_cliff_months'] = sim.team_vesting.cliff_months.str()
vars['team_vesting_months'] = sim.team_vesting.vesting_months.str()
vars['team_allocation'] = (sim.total_supply * sim.team_pct).str()
vars['team_pct'] = (sim.team_pct * 100).str()
vars['treasury_cliff_months'] = sim.treasury_vesting.cliff_months.str()
vars['treasury_vesting_months'] = sim.treasury_vesting.vesting_months.str()
vars['treasury_allocation'] = (sim.total_supply * sim.treasury_pct).str()
vars['treasury_pct'] = (sim.treasury_pct * 100).str()
vars['epoch1_floor_uplift'] = sim.epoch1_floor_uplift.str()
vars['epochn_floor_uplift'] = sim.epochn_floor_uplift.str()
vars['amm_liquidity_depth_factor'] = sim.amm_liquidity_depth_factor.str()
vars['generation_date'] = time.now().format()
// Generate sections
vars['distribution_section'] = sim.generate_distribution_section()!
vars['scenarios_section'] = sim.generate_scenarios_section()!
vars['financial_summary'] = sim.generate_financial_summary()!
vars['roi_analysis'] = sim.generate_roi_analysis()!
vars['price_analysis'] = sim.generate_price_analysis()!
vars['market_cap_analysis'] = sim.generate_market_cap_analysis()!
vars['conclusions'] = sim.generate_conclusions()!
// Process template
mut content := report_template
for key, value in vars {
content = content.replace('{{.${key}}}', value)
}
// Write report
report_path := '${output_path.path}/${sim.name}_report.md'
mut report_file := pathlib.get_file(path: report_path, create: true)!
report_file.write(content)!
console.print_green('✓ Report generated: ${report_path}')
}
// Additional template methods for generating report sections
pub fn (sim Simulation) generate_scenarios_section() !string {
mut lines := []string{}
for name, scenario in sim.scenarios {
lines << sim.generate_scenario_section(scenario)!
lines << ''
}
return lines.join('\n')
}
pub fn (sim Simulation) generate_roi_analysis() !string {
mut lines := []string{}
lines << '| Investor Round | Price | Allocation | '
for scenario_name, _ in sim.scenarios {
lines[0] += '${scenario_name} ROI | '
}
lines << '|' + '---|'.repeat(3 + sim.scenarios.len)
for round in sim.investor_rounds {
mut row := '| **${round.name}** | \$${round.price} | ${(round.allocation_pct * 100).str()}% | '
for scenario_name, scenario in sim.scenarios {
roi := scenario.final_metrics.investor_roi[round.name] or { 0.0 }
row += '${roi:.2f}x | '
}
lines << row
}
return lines.join('\n')
}
pub fn (sim Simulation) generate_price_analysis() !string {
mut lines := []string{}
lines << '| Scenario | Final Price | Price Change |'
lines << '|---|---|---|'
initial_price := sim.get_last_investor_price()
for name, scenario in sim.scenarios {
final_price := scenario.final_metrics.final_price
change_pct := ((final_price - initial_price) / initial_price) * 100
lines << '| **${name}** | \$${final_price:.4f} | ${change_pct:+.1f}% |'
}
return lines.join('\n')
}
pub fn (sim Simulation) generate_market_cap_analysis() !string {
mut lines := []string{}
lines << '| Scenario | Market Cap | Market Cap Range |'
lines << '|---|---|---|'
for name, scenario in sim.scenarios {
mc := scenario.final_metrics.market_cap_final / 1_000_000 // In millions
lines << '| **${name}** | \$${mc:.1f}M | Varies by circulating supply |'
}
return lines.join('\n')
}
pub fn (sim Simulation) generate_conclusions() !string {
mut lines := []string{}
lines << 'Based on the simulation results:'
lines << ''
lines << '1. **Token Price Sensitivity**: The final token price shows significant sensitivity to market demand levels'
lines << '2. **Investor Returns**: All investor rounds show positive returns across scenarios'
lines << '3. **Treasury Funding**: The INCA COOP successfully raises substantial funding through the token sale'
lines << '4. **Market Dynamics**: The combination of auction and AMM mechanisms provides price discovery and liquidity'
lines << ''
lines << 'The simulation demonstrates a robust token economic model that balances investor returns, treasury funding, and market dynamics.'
return lines.join('\n')
}

14
lib/threefold/incatokens/factory.v
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@@ -7,6 +7,20 @@ __global (
simulations map[string]&Simulation
)
// Create simulation from parameters struct
pub fn simulation_new_from_params(params SimulationParams) !&Simulation {
return simulation_new(
name: params.name
total_supply: params.distribution.total_supply
public_pct: params.distribution.public_pct
team_pct: params.distribution.team_pct
treasury_pct: params.distribution.treasury_pct
investor_pct: params.distribution.investor_pct
nrcol: params.simulation.nrcol
currency: params.simulation.currency
)!
}
@[params]
pub struct SimulationNewArgs {
pub mut:

79
lib/threefold/incatokens/incatokens_test.v
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@@ -1,24 +1,27 @@
module incatokens
import os
fn test_simulation_creation() {
mut sim := simulation_new(name: 'test_sim')!
sim.init_default_rounds()!
mut params := default_params()
params.name = 'test_sim_creation'
assert sim.name == 'test_sim'
assert sim.total_supply == 10_000_000_000
assert sim.investor_rounds.len == 3
mut sim := simulation_new_from_params(params)!
assert sim.name == 'test_sim_creation'
assert sim.total_supply == params.distribution.total_supply
assert sim.investor_rounds.len == params.investor_rounds.len
}
fn test_scenario_execution() {
mut sim := simulation_new(name: 'test_sim')!
sim.init_default_rounds()!
mut params := default_params()
params.name = 'test_scenario_exec'
// Run low scenario
low_scenario := sim.run_scenario(
'Low',
[10_000_000.0, 10_000_000.0, 0.0],
[0.0, 0.0, 0.0]
)!
mut sim := simulation_new_from_params(params)!
sim.run_full_simulation(params)!
// Get the 'Low' scenario results
low_scenario := sim.scenarios['Low']!
assert low_scenario.name == 'Low'
assert low_scenario.final_metrics.treasury_total > 0
@@ -32,9 +35,11 @@ fn test_scenario_execution() {
}
fn test_vesting_schedules() {
mut sim := simulation_new(name: 'test_sim')!
sim.init_default_rounds()!
sim.create_vesting_schedules()!
mut params := default_params()
params.name = 'test_vesting_schedules'
mut sim := simulation_new_from_params(params)!
sim.run_full_simulation(params)!
// Check team vesting
team_row := sim.vesting_sheet.row_get('team_vesting')!
@@ -51,31 +56,25 @@ fn test_vesting_schedules() {
}
fn test_export_functionality() {
mut sim := simulation_new(name: 'test_export')!
sim.init_default_rounds()!
mut params := default_params()
params.name = 'test_export'
params.output.export_dir = '/tmp/incatokens_test_output'
params.output.generate_csv = true
params.output.generate_report = true
// Run scenarios
sim.run_scenario('Low', [10_000_000.0, 10_000_000.0, 0.0], [0.0, 0.0, 0.0])!
sim.run_scenario('High', [50_000_000.0, 100_000_000.0, 0.0], [0.0, 0.0, 0.0])!
// Ensure output directory exists and is clean
os.rmdir_all(params.output.export_dir) or {}
os.mkdir_all(params.output.export_dir)!
// Test CSV export
sim.export_csv('prices', '/tmp/test_prices.csv')!
mut sim := simulation_new_from_params(params)!
sim.run_full_simulation(params)!
// Test report generation
// sim.export_report('/tmp/test_report.md')!
}
// fn test_template_rendering() {
// mut sim := simulation_new(name: 'test_template')!
// sim.init_default_rounds()!
// Test CSV export (already handled by run_full_simulation if generate_csv is true)
assert os.exists('${params.output.export_dir}/${params.name}_prices.csv')
assert os.exists('${params.output.export_dir}/${params.name}_tokens.csv')
assert os.exists('${params.output.export_dir}/${params.name}_investments.csv')
assert os.exists('${params.output.export_dir}/${params.name}_vesting.csv')
// // Run a scenario
// sim.run_scenario('Low', [10_000_000.0, 10_000_000.0, 0.0], [0.0, 0.0, 0.0])!
// // Render the report
// report := sim.render_report()!
// // Assert that the report is not empty and contains some expected text
// assert report.len > 0
// assert report.contains('# INCA TGE Simulation Report')
// assert report.contains('## 1) Token Distribution &amp; Vesting')
// }
// Test report generation (already handled by run_full_simulation if generate_report is true)
assert os.exists('${params.output.export_dir}/${params.name}_report.md')
}

193
lib/threefold/incatokens/params.v Normal file
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@@ -0,0 +1,193 @@
module incatokens
import os
// TokenDistribution defines how tokens are allocated across different categories
pub struct TokenDistribution {
pub mut:
total_supply f64 = 10_000_000_000
public_pct f64 = 0.50
team_pct f64 = 0.15
treasury_pct f64 = 0.15
investor_pct f64 = 0.20
}
// VestingConfig defines cliff and vesting periods
pub struct VestingConfig {
pub mut:
cliff_months int
vesting_months int
}
// InvestorRoundConfig defines parameters for each investment round
pub struct InvestorRoundConfig {
pub mut:
name string
allocation_pct f64
price f64
vesting VestingConfig
}
// EconomicsConfig defines economic parameters affecting token pricing
pub struct EconomicsConfig {
pub mut:
epoch1_floor_uplift f64 = 1.20
epochn_floor_uplift f64 = 1.20
amm_liquidity_depth_factor f64 = 2.0
}
// VestingConfigs groups all vesting configurations
pub struct VestingConfigs {
pub mut:
team VestingConfig
treasury VestingConfig
}
// SimulationConfig defines technical simulation parameters
pub struct SimulationConfig {
pub mut:
nrcol int = 60 // Number of months to simulate
currency string = 'USD'
}
// ScenarioConfig defines a single scenario with market conditions
pub struct ScenarioConfig {
pub mut:
name string
demands []f64
amm_trades []f64
}
// OutputConfig defines where and how to generate outputs
pub struct OutputConfig {
pub mut:
export_dir string = './output'
generate_csv bool = true
generate_charts bool = true
generate_report bool = true
}
// SimulationParams is the main configuration struct containing all parameters
pub struct SimulationParams {
pub mut:
name string
distribution TokenDistribution
investor_rounds []InvestorRoundConfig
vesting VestingConfigs
economics EconomicsConfig
simulation SimulationConfig
scenarios []ScenarioConfig
output OutputConfig
}
// default_params returns a SimulationParams with sensible defaults
pub fn default_params() SimulationParams {
return SimulationParams{
name: 'default'
distribution: TokenDistribution{}
investor_rounds: [
InvestorRoundConfig{
name: 'R1'
allocation_pct: 0.05
price: 0.005
vesting: VestingConfig{cliff_months: 6, vesting_months: 24}
},
InvestorRoundConfig{
name: 'R2'
allocation_pct: 0.075
price: 0.009
vesting: VestingConfig{cliff_months: 6, vesting_months: 24}
},
InvestorRoundConfig{
name: 'R3'
allocation_pct: 0.075
price: 0.0106
vesting: VestingConfig{cliff_months: 6, vesting_months: 24}
}
]
vesting: VestingConfigs{
team: VestingConfig{cliff_months: 12, vesting_months: 36}
treasury: VestingConfig{cliff_months: 12, vesting_months: 48}
}
economics: EconomicsConfig{}
simulation: SimulationConfig{}
scenarios: [
ScenarioConfig{
name: 'Low'
demands: [10_000_000.0, 10_000_000.0, 0.0]
amm_trades: [0.0, 0.0, 0.0]
},
ScenarioConfig{
name: 'Medium'
demands: [25_000_000.0, 50_000_000.0, 0.0]
amm_trades: [0.0, 0.0, 0.0]
},
ScenarioConfig{
name: 'High'
demands: [50_000_000.0, 100_000_000.0, 0.0]
amm_trades: [0.0, 0.0, 0.0]
}
]
output: OutputConfig{}
}
}
// run_simulation executes the simulation with the given parameters
pub fn (params SimulationParams) run_simulation() ! {
mut sim := simulation_new(
name: params.name
total_supply: params.distribution.total_supply
public_pct: params.distribution.public_pct
team_pct: params.distribution.team_pct
treasury_pct: params.distribution.treasury_pct
investor_pct: params.distribution.investor_pct
nrcol: params.simulation.nrcol
currency: params.simulation.currency
)!
// Configure economics
sim.epoch1_floor_uplift = params.economics.epoch1_floor_uplift
sim.epochn_floor_uplift = params.economics.epochn_floor_uplift
sim.amm_liquidity_depth_factor = params.economics.amm_liquidity_depth_factor
// Set up investor rounds
sim.investor_rounds = params.investor_rounds.map(InvestorRound{
name: it.name
allocation_pct: it.allocation_pct
price: it.price
vesting: VestingSchedule{
cliff_months: it.vesting.cliff_months
vesting_months: it.vesting.vesting_months
}
})
// Set up vesting schedules
sim.team_vesting = VestingSchedule{
cliff_months: params.vesting.team.cliff_months
vesting_months: params.vesting.team.vesting_months
}
sim.treasury_vesting = VestingSchedule{
cliff_months: params.vesting.treasury.cliff_months
vesting_months: params.vesting.treasury.vesting_months
}
// Run scenarios
for scenario in params.scenarios {
sim.run_scenario(scenario.name, scenario.demands, scenario.amm_trades)!
}
// Generate vesting schedules
sim.create_vesting_schedules()!
// Generate outputs
if params.output.generate_csv {
os.mkdir_all(params.output.export_dir)!
sim.export_csv('prices', '${params.output.export_dir}/${params.name}_prices.csv')!
sim.export_csv('tokens', '${params.output.export_dir}/${params.name}_tokens.csv')!
sim.export_csv('investments', '${params.output.export_dir}/${params.name}_investments.csv')!
sim.export_csv('vesting', '${params.output.export_dir}/${params.name}_vesting.csv')!
}
if params.output.generate_report {
sim.generate_report(params.output.export_dir)!
}
}

85
lib/threefold/incatokens/play.v Normal file
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@@ -0,0 +1,85 @@
module incatokens
import freeflowuniverse.herolib.core.playbook { PlayBook }
import freeflowuniverse.herolib.ui.console
import freeflowuniverse.herolib.core.pathlib
import os
pub fn play(mut plbook PlayBook) ! {
console.print_header('INCA Token Simulation')
// Process simulation definitions
for action in plbook.find(filter: 'incatokens.simulate')! {
mut p := action.params
// Create parameters struct
mut params := SimulationParams{
name: p.get_default('name', 'inca_simulation')!
}
// Configure token distribution
params.distribution.total_supply = p.get_float_default('total_supply', 10_000_000_000.0)!
params.distribution.public_pct = p.get_float_default('public_pct', 0.50)!
params.distribution.team_pct = p.get_float_default('team_pct', 0.15)!
params.distribution.treasury_pct = p.get_float_default('treasury_pct', 0.15)!
params.distribution.investor_pct = p.get_float_default('investor_pct', 0.20)!
// Configure simulation settings
params.simulation.nrcol = p.get_int_default('nrcol', 60)!
params.simulation.currency = p.get_default('currency', 'USD')!
// Configure economics
params.economics.epoch1_floor_uplift = p.get_float_default('epoch1_floor_uplift', 1.20)!
params.economics.epochn_floor_uplift = p.get_float_default('epochn_floor_uplift', 1.20)!
params.economics.amm_liquidity_depth_factor = p.get_float_default('amm_liquidity_depth_factor', 2.0)!
// Configure vesting
params.vesting.team.cliff_months = p.get_int_default('team_cliff_months', 12)!
params.vesting.team.vesting_months = p.get_int_default('team_vesting_months', 36)!
params.vesting.treasury.cliff_months = p.get_int_default('treasury_cliff_months', 12)!
params.vesting.treasury.vesting_months = p.get_int_default('treasury_vesting_months', 48)!
// Configure output
params.output.export_dir = p.get_default('export_dir', './output')!
params.output.generate_csv = p.get_default_true('generate_csv')
params.output.generate_charts = p.get_default_true('generate_charts')
params.output.generate_report = p.get_default_true('generate_report')
console.print_item('Running simulation: ${params.name}')
// Run the simulation
params.run_simulation()!
console.print_green('✓ Simulation completed successfully')
}
// Process investor round definitions
for action in plbook.find(filter: 'incatokens.investor_round')! {
mut p := action.params
round := InvestorRoundConfig{
name: p.get('name')!
allocation_pct: p.get_float('allocation_pct')!
price: p.get_float('price')!
vesting: VestingConfig{
cliff_months: p.get_int('cliff_months')!
vesting_months: p.get_int('vesting_months')!
}
}
console.print_item('Configured investor round: ${round.name} at \$${round.price}')
}
// Process scenario definitions
for action in plbook.find(filter: 'incatokens.scenario')! {
mut p := action.params
scenario := ScenarioConfig{
name: p.get('name')!
demands: p.get_list_f64('demands')!
amm_trades: p.get_list_f64('amm_trades')!
}
console.print_item('Configured scenario: ${scenario.name}')
}
}

39
lib/threefold/incatokens/simulation.v
View File

@@ -1,6 +1,6 @@
module incatokens
import freeflowuniverse.herolib.biz.spreadsheet
// import freeflowuniverse.herolib.biz.spreadsheet
// Initialize default investor rounds
pub fn (mut sim Simulation) init_default_rounds() ! {
@@ -29,6 +29,43 @@ pub fn (mut sim Simulation) init_default_rounds() ! {
sim.treasury_vesting = VestingSchedule{cliff_months: 12, vesting_months: 48}
}
// Generate comprehensive report with all scenarios
pub fn (mut sim Simulation) run_full_simulation(params SimulationParams) ! {
// Configure from parameters
sim.epoch1_floor_uplift = params.economics.epoch1_floor_uplift
sim.epochn_floor_uplift = params.economics.epochn_floor_uplift
sim.amm_liquidity_depth_factor = params.economics.amm_liquidity_depth_factor
// Set up investor rounds
sim.investor_rounds = params.investor_rounds.map(InvestorRound{
name: it.name
allocation_pct: it.allocation_pct
price: it.price
vesting: VestingSchedule{
cliff_months: it.vesting.cliff_months
vesting_months: it.vesting.vesting_months
}
})
// Set up vesting schedules
sim.team_vesting = VestingSchedule{
cliff_months: params.vesting.team.cliff_months
vesting_months: params.vesting.team.vesting_months
}
sim.treasury_vesting = VestingSchedule{
cliff_months: params.vesting.treasury.cliff_months
vesting_months: params.vesting.treasury.vesting_months
}
// Run all scenarios
for scenario_config in params.scenarios {
sim.run_scenario(scenario_config.name, scenario_config.demands, scenario_config.amm_trades)!
}
// Generate vesting schedules
sim.create_vesting_schedules()!
}
// Run a scenario with given demands and AMM trades
pub fn (mut sim Simulation) run_scenario(name string, demands []f64, amm_trades []f64) !&Scenario {
mut scenario := &Scenario{

91
lib/threefold/incatokens/templates/report.md Normal file
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@@ -0,0 +1,91 @@
# INCA Token Economic Simulation Report
## Executive Summary
This report presents the results of the INCA token economic simulation **{{.name}}**, analyzing various market scenarios and their impact on token distribution, pricing, and investor returns.
### Key Parameters
- **Total Token Supply**: {{.total_supply}} INCA
- **Simulation Period**: {{.nrcol}} months
- **Base Currency**: {{.currency}}
## Token Distribution & Allocation
{{.distribution_section}}
## Vesting Schedules
### Team Vesting
- **Cliff Period**: {{.team_cliff_months}} months
- **Vesting Period**: {{.team_vesting_months}} months
- **Total Team Allocation**: {{.team_allocation}} INCA ({{.team_pct}}%)
### Treasury Vesting
- **Cliff Period**: {{.treasury_cliff_months}} months
- **Vesting Period**: {{.treasury_vesting_months}} months
- **Total Treasury Allocation**: {{.treasury_allocation}} INCA ({{.treasury_pct}}%)
## Economic Parameters
- **Epoch 1 Floor Uplift**: {{.epoch1_floor_uplift}}x
- **Subsequent Epoch Floor Uplift**: {{.epochn_floor_uplift}}x
- **AMM Liquidity Depth Factor**: {{.amm_liquidity_depth_factor}}x
## Simulation Scenarios
{{.scenarios_section}}
## Financial Summary
{{.financial_summary}}
## Investment Analysis
### Return on Investment by Round
{{.roi_analysis}}
## Market Dynamics
### Price Evolution
The token price evolution across different scenarios shows:
{{.price_analysis}}
### Market Capitalization
The projected market capitalization ranges show:
{{.market_cap_analysis}}
## Risk Analysis
### Scenario Sensitivity
The simulation reveals the following sensitivities:
- **Low Demand Scenario**: Conservative market conditions with limited speculation
- **Medium Demand Scenario**: Moderate market interest and trading activity
- **High Demand Scenario**: Strong market demand and active secondary trading
### Key Risk Factors
1. **Market Demand Volatility**: Significant impact on final token prices
2. **AMM Pool Dynamics**: Trading activity affects liquidity and price stability
3. **Vesting Schedule Impact**: Lock-up periods influence circulating supply
## Conclusions
{{.conclusions}}
## Appendices
### A. Methodology
This simulation uses a simplified Dutch auction model combined with AMM (Automated Market Maker) dynamics to project token price evolution.
### B. Assumptions
- All investor rounds are fully subscribed
- Vesting schedules are strictly enforced
- Market dynamics follow the implemented auction and AMM models
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*Report generated on {{.generation_date}} using INCA Token Simulation Framework*