Simulate the forces behind Brazil's fixed income ETF explosion
Brazilian investors lack clear understanding of why fixed income ETFs grew to R$51B beyond just high Selic rates, leading to suboptimal portfolio allocation
SimulaFixa lets investors build and run interactive scenarios to understand how regulatory changes, liquidity events, and rate paths drove fixed income ETFs to R$51B. Through hands-on simulation, users develop intuition for optimal portfolio construction beyond surface-level rate analysis.
Brazilian retail and institutional investors allocating to ETFs
The only Monte Carlo + historical replay simulator purpose-built for Brazilian fixed income ETFs with embedded regulatory scenario templates.
educational and empowering
Drag-and-drop interface to create custom market and regulatory scenarios
Run thousands of simulations on ETF performance under different conditions
Replay actual 2018-2024 market events to see ETF reactions
Test how different allocations would have performed during ETF growth period
AI summarizes key learnings from each simulation run
Pre-built scenarios based on real events (Selic cuts, liquidity crises)
Compare simulation outcomes across different portfolio strategies
Share simulation results with advisors or colleagues
Live data feed to run simulations on current conditions
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| risk_profile | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| scenario_config | jsonb | No |
| results | jsonb | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| type | text | No |
| template_data | jsonb | No |
| is_public | bool | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| allocations | jsonb | No |
| created_at | timestamp | No |
Relationships:
/api/simulateExecute Monte Carlo simulation with given parameters
/api/simulationsList user's past simulations
/api/scenarios/templatesGet curated regulatory and rate scenarios
/api/portfolio/testTest portfolio against historical or simulated scenarios
Max 1000 paths per simulation
None
Custom
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 140 | 11% | $385 | $4,620 |
| Month 6 | 1,250 | 21% | $6,562 | $78,750 |
Build scenarios. Run simulations. Finally understand the forces behind fixed income ETF growth and optimize your allocation.
1. Create 5 high-quality simulation templates based on real past events and offer them free to finance YouTubers (Primo Rico network, Me Poupe) for reviews. 2. Partner with 3 university finance professors to use the tool in classes and collect academic feedback. 3. Seed 50 free Pro accounts to active members of r/investimentos who participate in a 'simulation challenge'.
Broad market coverage
Generic, no Brazil-specific regulatory scenarios
Deep focus on fixed income ETF mechanics and local context
Strong data
Too complex and expensive for retail investors
Interactive, educational interface designed for retail
Growing library of validated Brazilian regulatory scenario templates that become industry standard over time
Brazilian Central Bank is in a clear easing cycle. Investors need tools to stress-test portfolios against different ending points of this cycle.
Simulation engine is computationally expensive
Use edge functions + caching of common scenarios, offer lower path counts on free tier
Users find simulations too technical
Heavy investment in guided tours, templates, and plain-language insight summaries
Simulations could be seen as investment advice
Clear disclaimers and educational positioning only
Success: 80% can complete a simulation without help
Success: NPS above 40 and 25% conversion to paid
Success: 500+ shared simulations and 1200 total users
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