Kevin Cho
Kevin Cho, CPA | Finance ยท Data ยท Automation
Building retirement, portfolio, tax-aware, and market-deployment decision tools.
๐Ÿ“Š Monte Carlo ๐Ÿ’ผ Portfolio ๐Ÿงพ Tax-aware ๐Ÿค– ML Context ๐Ÿ“„ Reports
โœจ New to retirement planning?
Start with a 2-minute quick check.

Answer a few simple questions and get an instant educational snapshot before reading the full report.

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No Monte Carlo. No tax optimizer. Just a fast starting point.
Retirement + portfolio decision platform

A Canadian retirement calculator is not enough. Build a personalized decision report.

Data by Kevin helps Canadian DIY investors stress-test retirement timing, portfolio volatility, tax-aware withdrawals, cash reserve tradeoffs, Monte Carlo downside risk, CPP/OAS assumptions, and market-deployment context โ€” then turn those assumptions into a personalized retirement and portfolio planning report.

Not just one retirement number. The report explains what is driving the result โ€” spending, inflation, portfolio volatility, withdrawal order, cash reserve, or market conditions โ€” and what scenario to test next.

Instead of showing one smooth projection, this retirement planning tool helps you understand the moving parts behind the result: retirement age, savings, spending, inflation, portfolio return, portfolio volatility, cash reserve, and withdrawal order across RRSP, TFSA, and taxable accounts.

Retirement simulation dashboard preview
โ—Ž
Retirement Readiness Base case, stress case, and risk range
โ†—
Portfolio Risk Return, volatility, and downside pressure
TX
Tax-Aware Withdrawals Taxable, TFSA, and RRSP/RRIF sequencing
ML
Market Context CDC signals with ML-supported validation
Build notes and insights

Latest writing

Building a Smarter Retirement Planner - Monte Carlo Simulation
Building a Smarter Retirement Planner - Monte Carlo Simulation

From fixed returns to real-life uncertainty โ€” how I built a flexible, risk-aware tool for better financial planning

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Leasing Budget Automation
Leasing Budget Automation

Why I built leasing budget/forecast pipeline - reducing turnaround time from 3 weeks to 10 minutes

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