We Build Planning Tools That Survive Reality

Transparent Monte Carlo methodology, risk-aware assumptions, and practical frameworks for long-term dividend investors.

The Problem with Clean Numbers

Most dividend calculators hide uncertainty behind clean numbers. Real portfolios face drawdowns, dividend cuts, inflation shocks, and tax friction. We built this project to make those constraints visible before capital is committed.

The objective is practical: stronger assumptions, safer capital targets, and better behavior during market stress.

Our Mission

We help investors transform uncertainty into a structured plan. Our tools encourage disciplined decisions, realistic expectations, and long-term consistency instead of short-term guesswork.

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Make Risk Visible

Show downside scenarios early, before assumptions become costly.

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Protect Decision Quality

Prioritize frameworks that support calm, repeatable portfolio actions.

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Build for Real Life

Keep planning grounded in taxes, inflation, and changing market cycles.

"No single-output fantasy projections. Net income logic after taxes and costs. Scenario ranges to plan with margin."

Our Methodology

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Monte Carlo Simulation Thousands of portfolio paths to evaluate probability bands rather than static percentages.
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Net Income Core Focus intensely on what remains after taxes, fees, and persistent inflation pressure.
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Range-Based Mindset Use percentile outcomes to avoid brittle, one-number planning and build resilient models.

Our Principles

Built by Dividend Investors

Dividend Capital Simulator is built and maintained by a team of long-term dividend investors and financial engineers with 10+ years of portfolio experience. We've tested these frameworks in real markets, through dividend cuts, inflation shocks, and regime changes. We build what we use.

📋 Methodology Review

All major assumptions—dividend growth, tax rates, inflation, yield persistence—are sourced from 20+ years of public market data and independently verified.

🔍 Continuous Validation

Instrument data (ETF yields, payout ratios, fees) is updated quarterly. Monte Carlo parameters are stress-tested annually against historical market cycles.

📚 Editorial Standards

Every published article is fact-checked against primary sources: SEC filings, fund prospectuses, published academic research on dividend sustainability.

Editorial Direction

Articles and guides are designed to reduce cognitive noise: fewer slogans, more frameworks. We emphasize scenario thinking, risk budgeting, and habit-building for long horizons.

Have a use case we should model better? Email us at samuele.cryp@gmail.com with your target income, horizon, contribution pace, and portfolio constraints.

Start Your Planning Journey

Turn uncertainty into a structured, testable plan backed by data and realistic assumptions.

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