Retirement Monte Carlo from your real portfolio, savings, and spend

Retirement worksheets fall apart when the inputs are generic. A assumed savings rate, a round-number portfolio, and a spending figure you typed once last year will produce a chart — just not necessarily your chart.

Trixie runs retirement Monte Carlo using your connected portfolio picture, savings behavior, and honest spend — the same whole balance sheet and truthful run-rate the rest of the product already uses. Projections inherit reality instead of fighting a disconnected template.

Projections are only as good as their inputs

Monte Carlo is a method. The quality lives in what you feed it:

• What you have invested and otherwise own
• What you save over time
• What you spend as a living pattern
• How long and how variable those paths might be

Trixie’s category claim is honest money measurement. Retirement planning is a downstream use of that measurement — not a separate fantasy layer. When daily net worth and honest run-rate are trustworthy, long-range simulations have somewhere honest to stand.

Ask Trixie can help you explore the same inputs in conversation. Chat remains a feature over your data, not a promise that AI manages your retirement or moves funds.

Portfolio and savings from your connected picture

The “have” side starts with the whole balance sheet: banks and cards via read-only Plaid, investments in the same daily view, real estate estimates where available, and manual assets you add.

For retirement Monte Carlo, portfolio and savings behavior matter especially:

• Investment holdings reflect what is already working for future you
• Contributions and savings patterns show how the balance sheet has been growing
• Liabilities and cash buffers keep the story from ignoring the rest of the household

You still trade and contribute at your brokerage or employer plan. Trixie reflects the picture so the simulation is not inventing a portfolio you do not have.

Spend inputs from honest run-rate

The “spend” side is where many plans go soft. People understate lifestyle costs or forget categories that only show up in real history.

Trixie’s honest run-rate — built from cleaned category history after the exclusion engine handles transfers, card payments, and clear one-offs — gives retirement inputs a calmer baseline. Typical spend is closer to lived behavior. Budget suggestions from about six months of averages sit in the same family of numbers, whether or not you have created every budget yet.

Household visibility matters here too. When partners share a cleaned household picture with per-account clarity, retirement conversations use one spend reality instead of two optimistic guesses.

What Monte Carlo is doing (in plain language)

In plain language, Monte Carlo asks: if markets and paths vary many times, how often do the plans still work?

Rather than a single straight line (“assume 7% forever”), the simulation runs many scenarios with different sequences of returns and related uncertainty. You get a distribution of outcomes — ranges and likelihood-style readouts — instead of one false-precise number.

Trixie keeps the explanation grounded: this is a planning aid over your real inputs, not a guarantee, not advice that replaces a fiduciary, and not an automated money manager.

Reading ranges, not false certainty

Healthy use of Monte Carlo sounds like:

• “Under our current savings and spend picture, outcomes cluster in this range.”
• “If spend stays higher, the distribution shifts — here is how sensitivity shows up.”
• “We are looking at likelihoods across scenarios, not a promise of a single nest-egg number.”

Unhealthy use treats the middle of a chart as destiny. Trixie’s tone stays claim-safe: measurement and simulation clarity, not certainty theater.

Pair ranges with the daily product loop. If run-rate drifts, if savings behavior changes, if net worth composition shifts, the retirement view should stay tied to those updates rather than to a worksheet frozen in January.

How this fits budgets, bills, and net worth — and what Ask Trixie can help explore

Retirement Monte Carlo is one room in the same house:

• Daily net worth — Portfolio and assets stay current
• Honest run-rate — Spend inputs stay fair
• Budgets from history — Near-term intent aligns with long-term assumptions
• Recurring bills — Known obligations sit inside the spend story
• Card rewards gaps — Small optimizations on the margin; not a substitute for savings rate
• Ask Trixie — Explore portfolio, run-rate, and plan questions over your data

What it is not:

• Not open signup — invite-only via the waitlist
• Not bill pay or moving money — read-only Plaid
• Not auto-created budgets or auto-managed accounts
• Not a credit score product
• Not “AI manages your money”

Web and iPhone share the underlying picture so the same inputs drive what you see on either device.

Plan from reality: request an invite

If you want retirement Monte Carlo that starts from your real portfolio, savings behavior, and honest spend — not from a generic worksheet — Trixie is built for that continuity.

Request an invite at /waitlist. When you are in, complete the balance sheet, let run-rate settle from cleaned history, and read projection ranges against numbers you already trust day to day. Long-range planning works better when it is the same reality wearing a longer lens.