money scenarios: forecast horizon 1–100y (?horizon=), today’s-euro view, scaling gridlines, career paths with job hops and plateaus, crash cycles per portfolio, retirement at 68 with withdrawals, salary path table
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Deploy production / deploy (push) Successful in 2m49s
This commit is contained in:
@@ -12,7 +12,7 @@
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title: string;
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unit?: string;
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marker?: { date: string; label: string };
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/** Vertical gridlines: every month (1 January drawn stronger) or every year. */
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/** Vertical gridlines: every month (1 January drawn stronger), every year, or every decade. */
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grid?: GridMode;
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} = $props();
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let clientWidth = $state(800);
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@@ -33,7 +33,7 @@
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grid && values.length ? timeGrid(isoDate(from), isoDate(until), grid) : []
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);
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let axisTicks = $derived(
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grid === 'years'
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grid === 'years' || grid === 'decades'
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? yearLabels(gridLines, Math.max(2, Math.floor((width - plot.left - plot.right) / 44)))
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: ticks()
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);
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@@ -123,7 +123,7 @@
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return result;
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}
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function tickLabel(date: string) {
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return grid === 'years' ? date.slice(0, 4) : dateLabel(date);
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return grid === 'years' || grid === 'decades' ? date.slice(0, 4) : dateLabel(date);
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}
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function dateLabel(date: string, withDay = false) {
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return new Date(time(date)).toLocaleDateString('en-NL', {
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@@ -3,6 +3,8 @@
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import { Input } from '#lib/components/ui/input/index.js';
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import { NativeSelect } from '#lib/components/ui/native-select/index.js';
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import {
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marketReturns,
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salaryBands,
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scenarioColor,
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scenarioFacts,
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scenarioIds,
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@@ -33,34 +35,48 @@
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}[keyof ScenarioParams];
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const groups: { title: string; fields: { key: NumberField; label: string; unit: string }[] }[] = [
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{
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title: 'Markets',
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title: 'Portfolio and markets',
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fields: [
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{ key: 'returnPercent', label: 'Yearly return', unit: '%' },
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{ key: 'returnPercent', label: 'Average return incl. crashes', unit: '%/yr' },
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{ key: 'volatilityPercent', label: 'Volatility (context)', unit: '%' },
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{ key: 'crashPercent', label: 'Crash (0 = none)', unit: '%' },
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{ key: 'crashYear', label: 'Crash year', unit: '' },
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{ key: 'recoveryPercent', label: 'Return after a crash', unit: '%' },
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{ key: 'crashEveryYears', label: 'Crash every', unit: 'yr' },
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{ key: 'firstCrashYear', label: 'First crash', unit: '' },
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{ key: 'correctionPercent', label: 'Mid-cycle correction', unit: '%' },
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{ key: 'cashRatePercent', label: 'Interest on cash', unit: '%' },
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{ key: 'inflationPercent', label: 'Inflation', unit: '%' }
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]
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},
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{
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title: 'Work',
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title: 'Career',
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fields: [
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{ key: 'gapMonths', label: 'Gap after Sep 2027', unit: 'mo' },
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{ key: 'gapNetEuros', label: 'Benefit during gap', unit: '€/mo' },
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{ key: 'gapNetEuros', label: 'Benefit during a gap', unit: '€/mo' },
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{ key: 'nextJobPercent', label: 'Pay change Oct 2027', unit: '%' },
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{ key: 'raisePercent', label: 'Yearly raise', unit: '%' },
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{ key: 'raiseMonth', label: 'Raise month', unit: '' },
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{ key: 'raiseFromYear', label: 'Raises from', unit: '' },
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{ key: 'firstHopYear', label: 'First job hop (Oct)', unit: '' },
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{ key: 'hopEveryYears', label: 'Hop every (0 = never)', unit: 'yr' },
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{ key: 'hopRaisePercent', label: 'Raise per hop', unit: '%' },
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{ key: 'hopGapMonths', label: 'Gap before each hop', unit: 'mo' },
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{ key: 'salaryCapEuros', label: 'Plateau base salary', unit: '€/yr' },
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{ key: 'bonusPercentOfTarget', label: 'Bonus paid of estimate', unit: '%' },
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{ key: 'sideStartEuros', label: 'Side income now (gross)', unit: '€/mo' },
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{ key: 'sideEndEuros', label: 'Side income at end (gross)', unit: '€/mo' }
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{ key: 'sideEndEuros', label: 'Side income from year 5', unit: '€/mo' }
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]
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},
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{
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title: 'Retirement',
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fields: [
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{ key: 'retireAge', label: 'Retire at age', unit: '' },
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{ key: 'pensionNetEuros', label: 'AOW + pension (net)', unit: '€/mo' }
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]
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},
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{
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title: 'Spending',
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fields: [
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{ key: 'spendGrowthPercent', label: 'Spending growth', unit: '%/yr' },
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{ key: 'spendGrowthPercent', label: 'Spending growth, first 10 yr', unit: '%/yr' },
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{ key: 'otherSpendEuros', label: 'Other personal spending', unit: '€/mo' },
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{ key: 'healthInsuranceEuros', label: 'Health insurance (assumed)', unit: '€/mo' },
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{ key: 'householdSharePercent', label: 'Your share of household', unit: '%' },
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@@ -85,6 +101,14 @@
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: 'Not by the end';
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let active = $derived(params[selected]);
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let result = $derived(results[selected]);
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let normalReturn = $derived(marketReturns(active).normal);
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/** Salary path rows through the retirement year. */
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let career = $derived(
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result.years.filter(
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(row, index, rows) => row.role !== 'Retired' || rows[index - 1]?.role !== 'Retired'
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)
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);
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const percent = (value: number) => `${(value * 100).toFixed(1)}%`;
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</script>
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<div class="scenario-cards" role="group" aria-label="Scenario end values">
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@@ -121,7 +145,10 @@
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/></label
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>
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{/each}
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{#if group.title === 'Markets'}
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{#if group.title === 'Portfolio and markets'}
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<label class="wide"
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><span>Portfolio mix</span><Input bind:value={params[selected].portfolio} /></label
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>
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<label
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><span>Box 3 (36%, from 2028)</span><NativeSelect bind:value={params[selected].box3}
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><option value="accrual">Yearly gains</option><option value="realisation"
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@@ -133,13 +160,43 @@
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</fieldset>
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{/each}
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</div>
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<p class="muted scenario-portfolio">
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<strong>{active.label} portfolio:</strong>
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{active.portfolio}. Average {active.returnPercent}%/yr nominal, volatility about {active.volatilityPercent}%.
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{#if active.crashPercent !== 0}A {active.crashPercent}% crash every {active.crashEveryYears} years
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from {active.firstCrashYear}{active.correctionPercent !== 0
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? `, a ${active.correctionPercent}% correction halfway between`
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: ''}, and {percent(normalReturn)} in the other years so it averages out.
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{:else}No crashes modelled.{/if}
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Retirement in {scenarioFacts.birthYear + active.retireAge} at {active.retireAge}: salary and
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side income stop, {cents(active.pensionNetEuros * 100)}/mo net pension (today’s €) starts, and
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the rest of the spending is sold from investments.
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</p>
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<div class="scenario-actions">
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<p class="muted">
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Edits recalculate the chart right away and are not saved. Fixed for every scenario: contract
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gross {cents(scenarioFacts.grossCents)}/mo until 30 Sep 2027, net salary and all costs from
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the recurring list, cash buffer {cents(scenarioFacts.bufferCents)} then everything is invested,
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Joint contribution {cents(scenarioFacts.preMoveHouseholdCents)}/mo until the rent starts,
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your partner’s income pays her share, DUO {cents(scenarioFacts.duoCents)}/mo from {scenarioFacts.duoFrom}.
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your partner’s income pays her share, DUO {cents(scenarioFacts.duoCents)}/mo from {scenarioFacts.duoFrom}
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to {scenarioFacts.duoUntil}. Prices, benefits, pension, the buffer and the salary plateau
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grow with inflation; spending grows at the spending rate for ten years, then with inflation.
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Box 3 keeps taxing gains (losses carried forward). Salary bands (base per year, excl. 8%
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holiday pay): medior €52–68k, senior €65–91k, lead €79–110k (<a
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||||
href="https://chaseitrecruitment.nl/tools/salaris/software-engineer/"
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rel="external noreferrer">Chase IT 2026</a
|
||||
>,
|
||||
<a
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||||
href="https://searchcompany.nl/werving-en-selectie-blogartikel/it-salaris-nederland-2026/"
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||||
rel="external noreferrer">The Search Company 2026</a
|
||||
>); staff in Amsterdam about €100–139k base (<a
|
||||
href="https://www.glassdoor.com.hk/Salaries/amsterdam-netherlands-staff-engineer-salary-SRCH_IL.0,21_IM1112_KO22,36.htm"
|
||||
rel="external noreferrer">Glassdoor</a
|
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>), Adyen/GitLab staff €120–188k total pay and Amsterdam senior median €122k total pay (<a
|
||||
href="https://www.levels.fyi/t/software-engineer/locations/amsterdam-nld"
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rel="external noreferrer">levels.fyi</a
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>). A Cargill US move (L-1) is upside that is not modelled: US pay, tax and costs differ too
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much to fold into these euros.
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</p>
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<Button variant="outline" disabled={!edited} onclick={onreset}>Reset assumptions</Button>
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</div>
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@@ -168,6 +225,32 @@
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>
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</table>
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</div>
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<details class="salary-path">
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<summary>{active.label} salary path</summary>
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<div class="table-wrap">
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<table>
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<thead
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><tr
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><th>Year</th><th class="numeric">Age</th><th>Role (band)</th><th class="numeric"
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>Gross/mo</th
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><th class="numeric">Base/yr, today’s €</th><th>Change</th></tr
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></thead
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><tbody
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>{#each career as row (row.year)}<tr
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><td>{row.year}</td><td class="numeric">{row.age}</td><td>{row.role}</td><td
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class="numeric">{row.grossMonthly ? cents(row.grossMonthly) : '–'}</td
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><td class="numeric">{row.baseReal ? cents(row.baseReal * 100) : '–'}</td><td
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>{row.events.join('; ')}</td
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></tr
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>{/each}</tbody
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>
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</table>
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</div>
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<p class="muted">
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Roles follow the base salary in today’s euros:
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{salaryBands.map((band) => `${band.role} from ${cents(band.fromEuros * 100)}`).join(', ')}.
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</p>
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</details>
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<ul class="scenario-milestones" aria-label="Milestones">
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{#each result.milestones as milestone (milestone.label)}
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<li>
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@@ -236,6 +319,21 @@
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font-weight: 600;
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margin-bottom: 0.25rem;
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}
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.scenario-portfolio {
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font-size: 0.85rem;
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line-height: 1.5;
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}
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.salary-path summary {
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cursor: pointer;
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font-weight: 600;
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}
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.table-wrap {
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max-height: 28rem;
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overflow: auto;
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}
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label.wide {
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grid-template-columns: 1fr;
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}
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label {
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display: grid;
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grid-template-columns: 1fr 8rem;
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@@ -5,6 +5,9 @@ import {
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balanceSeries,
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forecastSeries,
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parseHistoryRange,
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gridFor,
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horizonEnd,
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parseHorizon,
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timeGrid,
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yearLabels,
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utilityEstimate,
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@@ -349,4 +352,25 @@ describe('history range', () => {
|
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]);
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expect(timeGrid('2026-01-02', '2026-01-01', 'months')).toEqual([]);
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});
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it('reads the forecast horizon and picks gridlines that scale with the span', () => {
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expect(parseHorizon('10y')).toBe('10y');
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expect(parseHorizon('2y')).toBe('5y');
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expect(parseHorizon(null)).toBe('5y');
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expect(horizonEnd('100y', '2026-10-24')).toBe('2126-10-24');
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expect(gridFor('2025-10-24', '2027-10-24')).toBe('months');
|
||||
expect(gridFor('2025-10-24', '2056-10-24')).toBe('years');
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expect(gridFor('2025-10-24', '2076-10-24')).toBe('decades');
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const decades = timeGrid('2025-10-24', '2126-10-24', 'decades');
|
||||
expect(decades.map((line) => line.date.slice(0, 4))).toEqual(
|
||||
[2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120].map(String)
|
||||
);
|
||||
expect(yearLabels(decades, 5).map((date) => date.slice(0, 4))).toEqual([
|
||||
'2040',
|
||||
'2060',
|
||||
'2080',
|
||||
'2100',
|
||||
'2120'
|
||||
]);
|
||||
});
|
||||
});
|
||||
|
||||
@@ -134,7 +134,9 @@ export function wealthProjection(
|
||||
forecasts: ProjectionMovement[],
|
||||
recurring: ProjectionRecurring[],
|
||||
settings: ProjectionSettings | null,
|
||||
today: string
|
||||
today: string,
|
||||
/** Overrides the settings' end date, e.g. with the chart's forecast horizon. */
|
||||
endDate?: string | null
|
||||
): ChartSeries[] {
|
||||
const excluded = excludedIds(accounts);
|
||||
const counted = (accountId: number | null) => accountId === null || !excluded.has(accountId);
|
||||
@@ -164,9 +166,11 @@ export function wealthProjection(
|
||||
const fallback = new Date(`${today}T12:00:00Z`);
|
||||
fallback.setUTCFullYear(fallback.getUTCFullYear() + 1);
|
||||
const horizon =
|
||||
settings?.endDate && settings.endDate > today
|
||||
? settings.endDate
|
||||
: latestMovement || fallback.toISOString().slice(0, 10);
|
||||
endDate && endDate > today
|
||||
? endDate
|
||||
: settings?.endDate && settings.endDate > today
|
||||
? settings.endDate
|
||||
: latestMovement || fallback.toISOString().slice(0, 10);
|
||||
const monthEnd = (year: number, month: number) =>
|
||||
new Date(Date.UTC(year, month + 1, 0)).toISOString().slice(0, 10);
|
||||
const start = new Date(`${today}T12:00:00Z`);
|
||||
@@ -174,7 +178,7 @@ export function wealthProjection(
|
||||
let month = start.getUTCMonth();
|
||||
const yearly = Number(settings?.annualReturnPercent ?? 5) / 100;
|
||||
const monthlyGrowth = Math.pow(1 + yearly, 1 / 12) - 1;
|
||||
for (let index = 0; index < 240; index++) {
|
||||
for (let index = 0; index < 1212; index++) {
|
||||
const first = `${year}-${String(month + 1).padStart(2, '0')}-01`;
|
||||
const end = monthEnd(year, month);
|
||||
const date = end < horizon ? end : horizon;
|
||||
@@ -366,12 +370,42 @@ export function parseHistoryRange(value: string | null | undefined): HistoryRang
|
||||
return value === '3y' || value === 'all' ? value : '1y';
|
||||
}
|
||||
|
||||
export type GridMode = 'months' | 'years';
|
||||
export type ForecastHorizon = '1y' | '3y' | '5y' | '10y' | '20y' | '30y' | '50y' | '100y';
|
||||
export const forecastHorizons: ForecastHorizon[] = [
|
||||
'1y',
|
||||
'3y',
|
||||
'5y',
|
||||
'10y',
|
||||
'20y',
|
||||
'30y',
|
||||
'50y',
|
||||
'100y'
|
||||
];
|
||||
|
||||
/** Reads a `?horizon=` value, falling back to five years for anything unknown. */
|
||||
export function parseHorizon(value: string | null | undefined): ForecastHorizon {
|
||||
return forecastHorizons.find((item) => item === value) ?? '5y';
|
||||
}
|
||||
|
||||
/** Last projected date for a horizon: the same day N years from today. */
|
||||
export function horizonEnd(horizon: ForecastHorizon, today: string): string {
|
||||
return `${Number(today.slice(0, 4)) + Number.parseInt(horizon)}${today.slice(4)}`;
|
||||
}
|
||||
|
||||
/** Gridlines that stay readable for the whole chart span: months, years, or decades. */
|
||||
export function gridFor(from: string | null | undefined, until: string): GridMode {
|
||||
if (!from) return 'years';
|
||||
const years = (Date.parse(until) - Date.parse(from)) / (365.25 * 86_400_000);
|
||||
return years <= 4.5 ? 'months' : years <= 40 ? 'years' : 'decades';
|
||||
}
|
||||
|
||||
export type GridMode = 'months' | 'years' | 'decades';
|
||||
export type GridLine = { date: string; year: boolean };
|
||||
|
||||
/**
|
||||
* Vertical gridlines between two dates (inclusive): the first of every month (`months`),
|
||||
* or only 1 January (`years`). Lines on 1 January are flagged so they can be drawn stronger.
|
||||
* only 1 January (`years`), or 1 January of every tenth year (`decades`). Lines on 1 January
|
||||
* are flagged so they can be drawn stronger.
|
||||
*/
|
||||
export function timeGrid(from: string, until: string, mode: GridMode): GridLine[] {
|
||||
const lines: GridLine[] = [];
|
||||
@@ -379,12 +413,12 @@ export function timeGrid(from: string, until: string, mode: GridMode): GridLine[
|
||||
let year = Number(from.slice(0, 4));
|
||||
let month = Number(from.slice(5, 7)) - 1;
|
||||
if (from.slice(8) !== '01') month++;
|
||||
for (let guard = 0; guard < 1200; guard++) {
|
||||
for (let guard = 0; guard < 2400; guard++) {
|
||||
if (month > 11) {
|
||||
month = 0;
|
||||
year++;
|
||||
}
|
||||
if (mode === 'years' && month !== 0) {
|
||||
if ((mode === 'years' && month !== 0) || (mode === 'decades' && (month !== 0 || year % 10))) {
|
||||
month = 12;
|
||||
continue;
|
||||
}
|
||||
@@ -399,6 +433,9 @@ export function timeGrid(from: string, until: string, mode: GridMode): GridLine[
|
||||
/** Year labels for the `years` grid, thinned to every 2nd/5th/10th year when crowded. */
|
||||
export function yearLabels(lines: GridLine[], maxLabels: number): string[] {
|
||||
const years = lines.filter((line) => line.year).map((line) => line.date);
|
||||
const step = [1, 2, 5, 10, 20].find((size) => Math.ceil(years.length / size) <= maxLabels) ?? 50;
|
||||
const step =
|
||||
[1, 2, 5, 10, 20, 50].find(
|
||||
(size) => years.filter((date) => Number(date.slice(0, 4)) % size === 0).length <= maxLabels
|
||||
) ?? 100;
|
||||
return years.filter((date) => Number(date.slice(0, 4)) % step === 0);
|
||||
}
|
||||
|
||||
@@ -1,5 +1,12 @@
|
||||
import { describe, expect, it } from 'vitest';
|
||||
import { defaultScenarios, runScenario, scenarioInputs, type ScenarioParams } from './scenarios';
|
||||
import {
|
||||
defaultScenarios,
|
||||
marketReturns,
|
||||
roleFor,
|
||||
runScenario,
|
||||
scenarioInputs,
|
||||
type ScenarioParams
|
||||
} from './scenarios';
|
||||
|
||||
const accounts = [
|
||||
{ id: 1, name: 'Revolut', kind: 'checking' },
|
||||
@@ -55,8 +62,11 @@ describe('runScenario', () => {
|
||||
const flat: ScenarioParams = {
|
||||
...defaultScenarios.realistic,
|
||||
returnPercent: 0,
|
||||
recoveryPercent: 0,
|
||||
crashPercent: 0,
|
||||
correctionPercent: 0,
|
||||
cashRatePercent: 0,
|
||||
inflationPercent: 0,
|
||||
hopEveryYears: 0,
|
||||
sideStartEuros: 0,
|
||||
sideEndEuros: 0,
|
||||
spendGrowthPercent: 0,
|
||||
@@ -97,17 +107,60 @@ describe('runScenario', () => {
|
||||
expect(pessimistic).toBeLessThan(realistic);
|
||||
expect(realistic).toBeLessThan(optimistic);
|
||||
});
|
||||
it('applies a crash in its year and a job gap after the contract', () => {
|
||||
const calm = runScenario(inputs, { ...flat, returnPercent: 5, recoveryPercent: 5 });
|
||||
it('applies crashes and job gaps', () => {
|
||||
const calm = runScenario(inputs, { ...flat, returnPercent: 5 });
|
||||
const crash = runScenario(inputs, {
|
||||
...flat,
|
||||
returnPercent: 5,
|
||||
recoveryPercent: 5,
|
||||
crashPercent: -30,
|
||||
crashYear: 2027
|
||||
crashEveryYears: 10,
|
||||
firstCrashYear: 2027
|
||||
});
|
||||
expect(crash.end.total).toBeLessThan(calm.end.total);
|
||||
// The crash year itself ends lower; later years catch up to the same long-run average.
|
||||
const at2027 = (result: typeof calm) => result.years.find((row) => row.year === 2027)!.total;
|
||||
expect(at2027(crash)).toBeLessThan(at2027(calm));
|
||||
const gap = runScenario(inputs, { ...flat, gapMonths: 3, gapNetEuros: 1000 });
|
||||
expect(gap.end.total).toBeLessThan(runScenario(inputs, flat).end.total);
|
||||
});
|
||||
it('averages the crash cycle out at the expected return', () => {
|
||||
const markets = marketReturns({
|
||||
...flat,
|
||||
returnPercent: 7,
|
||||
crashPercent: -30,
|
||||
crashEveryYears: 10,
|
||||
firstCrashYear: 2029,
|
||||
correctionPercent: -10
|
||||
});
|
||||
let growth = 1;
|
||||
for (let year = 2029; year < 2039; year++) growth *= 1 + markets.yearReturn(year).rate;
|
||||
expect(growth).toBeCloseTo(Math.pow(1.07, 10), 6);
|
||||
expect(markets.yearReturn(2029).kind).toBe('crash');
|
||||
expect(markets.yearReturn(2034).kind).toBe('correction');
|
||||
expect(markets.yearReturn(2028).kind).toBe('normal');
|
||||
});
|
||||
it('hops jobs, caps the salary and retires at the chosen age', () => {
|
||||
const long = { ...inputs, endDate: '2126-10-24' };
|
||||
const result = runScenario(long, {
|
||||
...flat,
|
||||
firstHopYear: 2029,
|
||||
hopEveryYears: 3,
|
||||
hopRaisePercent: 20,
|
||||
hopGapMonths: 4,
|
||||
salaryCapEuros: 60000
|
||||
});
|
||||
expect(result.points).toHaveLength(1201);
|
||||
const byYear = new Map(result.years.map((row) => [row.year, row]));
|
||||
expect(byYear.get(2029)!.events).toEqual(['Between jobs (4 mo)']);
|
||||
expect(byYear.get(2030)!.events).toEqual(['New job']);
|
||||
// The gap runs into 2030, when the raise lands, then the plateau caps it.
|
||||
expect(byYear.get(2030)!.grossMonthly).toBeCloseTo(500000, -1);
|
||||
expect(byYear.get(2071)!.role).toBe('Retired');
|
||||
expect(byYear.get(2071)!.events).toContain('Retire at 68');
|
||||
expect(byYear.get(2070)!.age).toBe(67);
|
||||
});
|
||||
it('labels roles by base salary in today’s euros', () => {
|
||||
expect(roleFor(44700)).toBe('Junior');
|
||||
expect(roleFor(70000)).toBe('Senior');
|
||||
expect(roleFor(150000)).toBe('Principal / big-tech staff');
|
||||
});
|
||||
});
|
||||
|
||||
@@ -1,8 +1,9 @@
|
||||
/**
|
||||
* Pessimistic / realistic / optimistic wealth scenarios to the projection end date.
|
||||
* Pessimistic / realistic / optimistic wealth scenarios to the chosen horizon (up to 100 years).
|
||||
*
|
||||
* Money in the tracker drives the start balances, recurring costs and one-off estimates; each
|
||||
* scenario adds labelled assumptions (returns, salary path, spending growth, Box 3, inflation)
|
||||
* scenario adds labelled assumptions (portfolio and crashes, career path, retirement, spending
|
||||
* growth, Box 3, inflation)
|
||||
* that the page lists and lets you tweak. Amounts are in cents, except the editable assumptions,
|
||||
* which are whole euros or percentages so they read like the inputs on the page.
|
||||
*/
|
||||
@@ -14,34 +15,53 @@ export const scenarioIds: ScenarioId[] = ['pessimistic', 'realistic', 'optimisti
|
||||
|
||||
export type ScenarioParams = {
|
||||
label: string;
|
||||
/** Yearly investment return before any crash, in percent. */
|
||||
/** Portfolio mix, shown with the assumptions. */
|
||||
portfolio: string;
|
||||
/** Long-run average yearly return of the portfolio including crashes, in percent. */
|
||||
returnPercent: number;
|
||||
/** Market drop in the crash year (percent, e.g. -28); 0 means no crash. */
|
||||
/** Typical yearly swing (standard deviation), percent; shown for context. */
|
||||
volatilityPercent: number;
|
||||
/** Market drop in a crash year (percent, e.g. -30); 0 means no crashes. */
|
||||
crashPercent: number;
|
||||
crashYear: number;
|
||||
/** Yearly return in the years after the crash, in percent. */
|
||||
recoveryPercent: number;
|
||||
/** Years between crashes, counted from the first crash year. */
|
||||
crashEveryYears: number;
|
||||
firstCrashYear: number;
|
||||
/** Smaller correction halfway between crashes, percent (0 = none). */
|
||||
correctionPercent: number;
|
||||
/** Interest on the cash buffer, percent per year. */
|
||||
cashRatePercent: number;
|
||||
/** Months without a job after the contract ends (unemployment benefit instead). */
|
||||
/** Inflation: prices, the salary cap, pension and benefits grow with it; percent. */
|
||||
inflationPercent: number;
|
||||
/** Months without a job after the contract ends on 30 Sep 2027 (benefit instead). */
|
||||
gapMonths: number;
|
||||
/** Net unemployment benefit per month during the gap, euros. */
|
||||
/** Net unemployment benefit per month during a gap, today's euros. */
|
||||
gapNetEuros: number;
|
||||
/** Gross salary change at the extension or next job, percent. */
|
||||
/** Gross salary change at the extension or next job in October 2027, percent. */
|
||||
nextJobPercent: number;
|
||||
/** Yearly raise in percent, applied each raiseMonth from raiseFromYear. */
|
||||
raisePercent: number;
|
||||
raiseMonth: number;
|
||||
raiseFromYear: number;
|
||||
/** Job hops: in October of the first year, then every N years (0 = never). */
|
||||
firstHopYear: number;
|
||||
hopEveryYears: number;
|
||||
/** Gross raise at each hop, percent. */
|
||||
hopRaisePercent: number;
|
||||
/** Months without a job before each hop starts (unemployment spells). */
|
||||
hopGapMonths: number;
|
||||
/** Career plateau: base salary cap per year in today's euros (excl. holiday pay). */
|
||||
salaryCapEuros: number;
|
||||
/** Share of the contract's bonus estimate actually paid each August, 0–100. */
|
||||
bonusPercentOfTarget: number;
|
||||
/** Side income, gross euros per month, ramping linearly to the end value. */
|
||||
/** Side income, gross today's euros per month, ramping over five years to the end value. */
|
||||
sideStartEuros: number;
|
||||
sideEndEuros: number;
|
||||
/** Spending growth per year (lifestyle creep plus prices), percent. */
|
||||
/** Retirement age: salary and side income stop, pension starts, spending comes out of savings. */
|
||||
retireAge: number;
|
||||
/** Net pension per month (AOW plus workplace pension), today's euros. */
|
||||
pensionNetEuros: number;
|
||||
/** Spending growth per year for the first ten years (prices plus lifestyle), then inflation. */
|
||||
spendGrowthPercent: number;
|
||||
/** Inflation used to show the end value in today's euros, percent. */
|
||||
inflationPercent: number;
|
||||
/** Your share of Joint household costs after the move, percent. */
|
||||
householdSharePercent: number;
|
||||
/** Personal spending not in the recurring list (going out, transport, shopping), euros/month. */
|
||||
@@ -59,22 +79,32 @@ export type ScenarioParams = {
|
||||
export const defaultScenarios: Record<ScenarioId, ScenarioParams> = {
|
||||
pessimistic: {
|
||||
label: 'Pessimistic',
|
||||
returnPercent: 0,
|
||||
crashPercent: -28,
|
||||
crashYear: 2027,
|
||||
recoveryPercent: 15,
|
||||
portfolio: '60% global equity ETF, 40% euro bonds',
|
||||
returnPercent: 4,
|
||||
volatilityPercent: 10,
|
||||
crashPercent: -25,
|
||||
crashEveryYears: 8,
|
||||
firstCrashYear: 2027,
|
||||
correctionPercent: -8,
|
||||
cashRatePercent: 0,
|
||||
inflationPercent: 2.5,
|
||||
gapMonths: 3,
|
||||
gapNetEuros: 2300,
|
||||
nextJobPercent: 0,
|
||||
raisePercent: 2,
|
||||
raiseMonth: 1,
|
||||
raiseFromYear: 2029,
|
||||
firstHopYear: 2031,
|
||||
hopEveryYears: 5,
|
||||
hopRaisePercent: 15,
|
||||
hopGapMonths: 3,
|
||||
salaryCapEuros: 75000,
|
||||
bonusPercentOfTarget: 0,
|
||||
sideStartEuros: 100,
|
||||
sideEndEuros: 100,
|
||||
retireAge: 68,
|
||||
pensionNetEuros: 1700,
|
||||
spendGrowthPercent: 3.5,
|
||||
inflationPercent: 2.5,
|
||||
householdSharePercent: 57,
|
||||
otherSpendEuros: 400,
|
||||
householdExtraEuros: 200,
|
||||
@@ -84,22 +114,32 @@ export const defaultScenarios: Record<ScenarioId, ScenarioParams> = {
|
||||
},
|
||||
realistic: {
|
||||
label: 'Realistic',
|
||||
returnPercent: 6.5,
|
||||
crashPercent: 0,
|
||||
crashYear: 2027,
|
||||
recoveryPercent: 6.5,
|
||||
portfolio: '100% global equity ETF (all-world index)',
|
||||
returnPercent: 7,
|
||||
volatilityPercent: 15,
|
||||
crashPercent: -30,
|
||||
crashEveryYears: 10,
|
||||
firstCrashYear: 2029,
|
||||
correctionPercent: -10,
|
||||
cashRatePercent: 1.5,
|
||||
inflationPercent: 2.5,
|
||||
gapMonths: 0,
|
||||
gapNetEuros: 2300,
|
||||
nextJobPercent: 3,
|
||||
raisePercent: 3.5,
|
||||
nextJobPercent: 6,
|
||||
raisePercent: 4,
|
||||
raiseMonth: 10,
|
||||
raiseFromYear: 2028,
|
||||
firstHopYear: 2029,
|
||||
hopEveryYears: 3,
|
||||
hopRaisePercent: 20,
|
||||
hopGapMonths: 0,
|
||||
salaryCapEuros: 95000,
|
||||
bonusPercentOfTarget: 100,
|
||||
sideStartEuros: 250,
|
||||
sideEndEuros: 500,
|
||||
spendGrowthPercent: 2.5,
|
||||
inflationPercent: 2.5,
|
||||
retireAge: 68,
|
||||
pensionNetEuros: 2400,
|
||||
spendGrowthPercent: 3,
|
||||
householdSharePercent: 50,
|
||||
otherSpendEuros: 330,
|
||||
householdExtraEuros: 65,
|
||||
@@ -109,22 +149,32 @@ export const defaultScenarios: Record<ScenarioId, ScenarioParams> = {
|
||||
},
|
||||
optimistic: {
|
||||
label: 'Optimistic',
|
||||
returnPercent: 9,
|
||||
crashPercent: 0,
|
||||
crashYear: 2027,
|
||||
recoveryPercent: 9,
|
||||
portfolio: '80% global equity ETF, 20% tech, small-cap and factor tilts',
|
||||
returnPercent: 9.5,
|
||||
volatilityPercent: 19,
|
||||
crashPercent: -38,
|
||||
crashEveryYears: 10,
|
||||
firstCrashYear: 2030,
|
||||
correctionPercent: -15,
|
||||
cashRatePercent: 1.5,
|
||||
inflationPercent: 2.5,
|
||||
gapMonths: 0,
|
||||
gapNetEuros: 2300,
|
||||
nextJobPercent: 6,
|
||||
raisePercent: 5,
|
||||
nextJobPercent: 8,
|
||||
raisePercent: 6,
|
||||
raiseMonth: 10,
|
||||
raiseFromYear: 2028,
|
||||
firstHopYear: 2029,
|
||||
hopEveryYears: 3,
|
||||
hopRaisePercent: 22,
|
||||
hopGapMonths: 0,
|
||||
salaryCapEuros: 150000,
|
||||
bonusPercentOfTarget: 100,
|
||||
sideStartEuros: 300,
|
||||
sideEndEuros: 2500,
|
||||
spendGrowthPercent: 2,
|
||||
inflationPercent: 2.5,
|
||||
retireAge: 68,
|
||||
pensionNetEuros: 3200,
|
||||
spendGrowthPercent: 2.5,
|
||||
householdSharePercent: 45,
|
||||
otherSpendEuros: 280,
|
||||
householdExtraEuros: 0,
|
||||
@@ -139,6 +189,8 @@ export const scenarioFacts = {
|
||||
/** Contract gross per month and the date the current contract ends. */
|
||||
grossCents: 372493,
|
||||
contractEnd: '2027-09-30',
|
||||
/** Born 2003: 23 now, so 68 is 2071 (the expected AOW age for that year is about 68–70). */
|
||||
birthYear: 2003,
|
||||
/** Extra net per extra gross euro: about 50% marginal tax after 2.65% pension. */
|
||||
marginalNet: (1 - 0.0265) * 0.5,
|
||||
/**
|
||||
@@ -155,14 +207,36 @@ export const scenarioFacts = {
|
||||
firstBonusYear: 2027,
|
||||
bonusNetYearCents: 130000,
|
||||
sideTaxRate: 0.4,
|
||||
/** Cash buffer in today's euros (grows with inflation); everything above it is invested. */
|
||||
bufferCents: 500000,
|
||||
/** Joint household contribution before the move, per month (Apr–Oct 2026 average). */
|
||||
preMoveHouseholdCents: 90000,
|
||||
/** DUO study-debt repayment from 2029, per month. */
|
||||
/** DUO study-debt repayment, per month, for at most 35 years from 2029. */
|
||||
duoFrom: 2029,
|
||||
duoCents: 10000
|
||||
duoUntil: 2063,
|
||||
duoCents: 10000,
|
||||
/** Box 3 from 2028: 36% on gains above €1,000 a year, losses carried forward. */
|
||||
box3Rate: 0.36,
|
||||
box3FreeCents: 100000,
|
||||
/** Withdrawal rate for the "passive income" milestone. */
|
||||
withdrawalRate: 0.035,
|
||||
/** Monthly amount for the income milestones, today's euros. */
|
||||
targetMonthlyCents: 1_000_000
|
||||
};
|
||||
|
||||
/** Base salary bands per year in today's euros (lower ends), for the role column. */
|
||||
export const salaryBands: { fromEuros: number; role: string }[] = [
|
||||
{ fromEuros: 0, role: 'Junior' },
|
||||
{ fromEuros: 52000, role: 'Medior' },
|
||||
{ fromEuros: 65000, role: 'Senior' },
|
||||
{ fromEuros: 85000, role: 'Lead / senior II' },
|
||||
{ fromEuros: 105000, role: 'Staff / eng. manager' },
|
||||
{ fromEuros: 135000, role: 'Principal / big-tech staff' }
|
||||
];
|
||||
export function roleFor(baseRealEuros: number) {
|
||||
return salaryBands.findLast((band) => baseRealEuros >= band.fromEuros)?.role ?? 'Junior';
|
||||
}
|
||||
|
||||
export type ScenarioRecurring = {
|
||||
name: string;
|
||||
amountCents: number;
|
||||
@@ -206,6 +280,13 @@ export type ScenarioYear = {
|
||||
invested: number;
|
||||
real: number;
|
||||
box3: number;
|
||||
age: number;
|
||||
/** Gross per month at year end (nominal, 0 when retired). */
|
||||
grossMonthly: number;
|
||||
/** Base salary per year in today's euros, for the role. */
|
||||
baseReal: number;
|
||||
role: string;
|
||||
events: string[];
|
||||
};
|
||||
export type ScenarioResult = {
|
||||
points: ScenarioPoint[];
|
||||
@@ -299,33 +380,93 @@ function monthEnd(first: string) {
|
||||
.slice(0, 10);
|
||||
}
|
||||
|
||||
/**
|
||||
* Years of a crash cycle: a crash in the first year, a correction halfway, and normal years whose
|
||||
* return makes the whole cycle average out at the expected return.
|
||||
*/
|
||||
export function marketReturns(params: ScenarioParams) {
|
||||
const pct = (value: number) => value / 100;
|
||||
const every = Math.max(2, Math.round(params.crashEveryYears));
|
||||
const crashes = params.crashPercent !== 0;
|
||||
const corrections = crashes && params.correctionPercent !== 0 && every >= 3;
|
||||
const shocks =
|
||||
(1 + (crashes ? pct(params.crashPercent) : 0)) *
|
||||
(1 + (corrections ? pct(params.correctionPercent) : 0));
|
||||
const normalYears = every - (crashes ? 1 : 0) - (corrections ? 1 : 0);
|
||||
const normal = crashes
|
||||
? Math.pow(Math.pow(1 + pct(params.returnPercent), every) / shocks, 1 / normalYears) - 1
|
||||
: pct(params.returnPercent);
|
||||
return {
|
||||
normal,
|
||||
yearReturn(year: number) {
|
||||
if (!crashes || year < params.firstCrashYear)
|
||||
return { kind: 'normal' as const, rate: normal };
|
||||
const offset = (year - params.firstCrashYear) % every;
|
||||
if (offset === 0) return { kind: 'crash' as const, rate: pct(params.crashPercent) };
|
||||
if (corrections && offset === Math.floor(every / 2))
|
||||
return { kind: 'correction' as const, rate: pct(params.correctionPercent) };
|
||||
return { kind: 'normal' as const, rate: normal };
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
export function runScenario(inputs: ScenarioInputs, params: ScenarioParams): ScenarioResult {
|
||||
const facts = scenarioFacts;
|
||||
const baseGross = facts.grossCents;
|
||||
const pct = (value: number) => value / 100;
|
||||
const netFromGross = (gross: number) =>
|
||||
inputs.netSalaryCents + (gross - baseGross) * facts.marginalNet;
|
||||
const gapStart = addMonths(facts.contractEnd, 1);
|
||||
const gapEnd = params.gapMonths > 0 ? addMonths(gapStart, params.gapMonths) : gapStart;
|
||||
const pct = (value: number) => value / 100;
|
||||
const retireStart = `${facts.birthYear + Math.round(params.retireAge)}-01-01`;
|
||||
const markets = marketReturns(params);
|
||||
const monthlyInflation = Math.pow(1 + pct(params.inflationPercent), 1 / 12);
|
||||
const isHopYear = (year: number) =>
|
||||
params.hopEveryYears > 0 &&
|
||||
year >= params.firstHopYear &&
|
||||
(year - params.firstHopYear) % Math.max(1, Math.round(params.hopEveryYears)) === 0;
|
||||
let cash = inputs.spendableCents;
|
||||
let invested = inputs.investedCents;
|
||||
let basis = inputs.investedCents;
|
||||
let gross = baseGross;
|
||||
let accruedHoliday = (facts.holidayNetYearCents / 12) * facts.holidayMonthsAccrued;
|
||||
let accrued13 = (facts.thirteenthNetYearCents / 12) * facts.thirteenthMonthsAccrued;
|
||||
let investedAtYearStart = invested;
|
||||
let contributedThisYear = 0;
|
||||
let realisedThisYear = 0;
|
||||
let lossCarried = 0;
|
||||
let box3Due = 0;
|
||||
let deflator = 1;
|
||||
let spendGrowth = 1;
|
||||
const recentRealIncome: number[] = [];
|
||||
const points: ScenarioPoint[] = [
|
||||
{ date: inputs.today, cash, invested, total: cash + invested, real: cash + invested }
|
||||
];
|
||||
const years = new Map<number, ScenarioYear>();
|
||||
const target = facts.targetMonthlyCents;
|
||||
const milestones: { label: string; date: string | null; test: () => boolean }[] = [
|
||||
{ label: 'Cash buffer full', date: null, test: () => cash >= facts.bufferCents - 100 },
|
||||
...[10_000, 25_000, 50_000, 100_000].map((euros) => ({
|
||||
label: `€${euros / 1000}k invested`,
|
||||
{
|
||||
label: 'Cash buffer full',
|
||||
date: null,
|
||||
test: () => cash >= facts.bufferCents * deflator - 100
|
||||
},
|
||||
...[10_000, 100_000, 250_000, 1_000_000].map((euros) => ({
|
||||
label: `€${euros >= 1_000_000 ? `${euros / 1_000_000}M` : `${euros / 1000}k`} invested`,
|
||||
date: null,
|
||||
test: () => invested >= euros * 100
|
||||
}))
|
||||
})),
|
||||
{
|
||||
label: '€10k/mo net income (today’s €)',
|
||||
date: null,
|
||||
test: () =>
|
||||
recentRealIncome.length === 12 &&
|
||||
recentRealIncome.reduce((sum, value) => sum + value, 0) / 12 >= target
|
||||
},
|
||||
{
|
||||
label: '€10k/mo passive at 3.5% (today’s €)',
|
||||
date: null,
|
||||
test: () => ((invested / deflator) * facts.withdrawalRate) / 12 >= target
|
||||
}
|
||||
];
|
||||
const firstMonth = addMonths(inputs.today, 1);
|
||||
const totalMonths =
|
||||
@@ -334,12 +475,13 @@ export function runScenario(inputs: ScenarioInputs, params: ScenarioParams): Sce
|
||||
Number(firstMonth.slice(5, 7)) +
|
||||
1;
|
||||
const moveDate = inputs.moveDate ?? '9999-12-31';
|
||||
for (let index = 0; index < Math.min(totalMonths, 600); index++) {
|
||||
for (let index = 0; index < Math.min(totalMonths, 1212); index++) {
|
||||
const first = addMonths(firstMonth, index);
|
||||
const last = monthEnd(first);
|
||||
const date = last < inputs.endDate ? last : inputs.endDate;
|
||||
const year = Number(first.slice(0, 4));
|
||||
const month = Number(first.slice(5, 7));
|
||||
deflator *= monthlyInflation;
|
||||
const row =
|
||||
years.get(year) ??
|
||||
years
|
||||
@@ -352,66 +494,114 @@ export function runScenario(inputs: ScenarioInputs, params: ScenarioParams): Sce
|
||||
total: 0,
|
||||
invested: 0,
|
||||
real: 0,
|
||||
box3: 0
|
||||
box3: 0,
|
||||
age: year - facts.birthYear,
|
||||
grossMonthly: 0,
|
||||
baseReal: 0,
|
||||
role: '',
|
||||
events: []
|
||||
})
|
||||
.get(year)!;
|
||||
if (month === 1) {
|
||||
investedAtYearStart = invested;
|
||||
contributedThisYear = 0;
|
||||
realisedThisYear = 0;
|
||||
}
|
||||
// Salary path: extension or next job after the contract, with an optional gap.
|
||||
const employed = !(params.gapMonths > 0 && first >= gapStart && first < gapEnd);
|
||||
if (first === gapStart) gross = baseGross * (1 + pct(params.nextJobPercent));
|
||||
if (first > gapStart && year >= params.raiseFromYear && month === params.raiseMonth)
|
||||
const retired = first >= retireStart;
|
||||
// Salary path: extension or next job after the contract (optional gap), raises, job hops
|
||||
// in October (optional gap before each), capped at the career plateau in today's euros.
|
||||
const hopStart = isHopYear(year) ? `${year}-10-01` : null;
|
||||
// A gap that starts in October can run into the next year.
|
||||
const hops = [year - 1, year].filter(isHopYear).map((hopYear) => {
|
||||
const start = `${hopYear}-10-01`;
|
||||
return { start, end: addMonths(start, Math.max(0, params.hopGapMonths)) };
|
||||
});
|
||||
const inHopGap = hops.some((hop) => first >= hop.start && first < hop.end);
|
||||
const hopEnd = hops.find((hop) => hop.end === first)?.end ?? null;
|
||||
const inContractGap = params.gapMonths > 0 && first >= gapStart && first < gapEnd;
|
||||
const employed = !retired && !inHopGap && !inContractGap;
|
||||
if (first === gapStart) {
|
||||
gross = baseGross * (1 + pct(params.nextJobPercent));
|
||||
row.events.push(
|
||||
params.gapMonths > 0 ? `Contract ends, ${params.gapMonths} mo gap` : 'Contract renewed'
|
||||
);
|
||||
}
|
||||
if (
|
||||
first > gapStart &&
|
||||
year >= params.raiseFromYear &&
|
||||
month === params.raiseMonth &&
|
||||
!(hopStart && month === 10)
|
||||
)
|
||||
gross *= 1 + pct(params.raisePercent);
|
||||
let income = employed ? netFromGross(gross) : params.gapNetEuros * 100;
|
||||
const cap = ((params.salaryCapEuros * 100) / 12) * deflator;
|
||||
if (hopStart && first === hopStart && params.hopGapMonths > 0 && !retired)
|
||||
row.events.push(`Between jobs (${params.hopGapMonths} mo)`);
|
||||
if (hopEnd && first === hopEnd && !retired) {
|
||||
const plateau = gross >= cap * 0.99;
|
||||
gross *= 1 + pct(params.hopRaisePercent);
|
||||
row.events.push(
|
||||
(params.hopGapMonths > 0 ? 'New job' : 'Job hop') + (plateau ? ' (at plateau)' : '')
|
||||
);
|
||||
}
|
||||
if (gross > cap) gross = cap;
|
||||
const jobChange =
|
||||
first === retireStart ||
|
||||
(hopStart !== null && first === hopStart) ||
|
||||
(params.gapMonths > 0 && first === gapStart);
|
||||
let income = 0;
|
||||
if (employed) income += netFromGross(gross);
|
||||
else if (!retired) income += params.gapNetEuros * 100 * deflator;
|
||||
if (employed) {
|
||||
accruedHoliday += (facts.holidayNetYearCents / 12) * (gross / baseGross);
|
||||
accrued13 += (facts.thirteenthNetYearCents / 12) * (gross / baseGross);
|
||||
}
|
||||
if (month === 5) {
|
||||
if (month === 5 || jobChange) {
|
||||
income += accruedHoliday;
|
||||
accruedHoliday = 0;
|
||||
}
|
||||
if (month === 11) {
|
||||
if (month === 11 || jobChange) {
|
||||
income += accrued13;
|
||||
accrued13 = 0;
|
||||
}
|
||||
// A job change pays out what is still accrued when the contract ends.
|
||||
if (params.gapMonths > 0 && first === addMonths(facts.contractEnd, 0)) {
|
||||
income += accruedHoliday + accrued13;
|
||||
accruedHoliday = 0;
|
||||
accrued13 = 0;
|
||||
}
|
||||
if (month === 8 && year >= facts.firstBonusYear && employed)
|
||||
income +=
|
||||
pct(params.bonusPercentOfTarget) *
|
||||
(year === facts.firstBonusYear
|
||||
? facts.firstBonusCents
|
||||
: facts.bonusNetYearCents * (gross / baseGross));
|
||||
const ramp = Math.min(1, Math.max(0, (index - 3) / Math.max(1, totalMonths - 4)));
|
||||
const sideGross = params.sideStartEuros + (params.sideEndEuros - params.sideStartEuros) * ramp;
|
||||
income += sideGross * 100 * (1 - facts.sideTaxRate);
|
||||
if (retired) {
|
||||
income += params.pensionNetEuros * 100 * deflator;
|
||||
if (first === retireStart) row.events.push(`Retire at ${params.retireAge}`);
|
||||
} else {
|
||||
const ramp = Math.min(1, Math.max(0, (index - 3) / 57));
|
||||
const sideGross =
|
||||
params.sideStartEuros + (params.sideEndEuros - params.sideStartEuros) * ramp;
|
||||
income += sideGross * 100 * deflator * (1 - facts.sideTaxRate);
|
||||
}
|
||||
// Recurring items from the tracker (positive ones such as benefits count as income).
|
||||
const growth = Math.pow(1 + pct(params.spendGrowthPercent), Math.max(0, (index - 3) / 12));
|
||||
if (index >= 3)
|
||||
spendGrowth *= Math.pow(
|
||||
1 + pct(index < 123 ? params.spendGrowthPercent : params.inflationPercent),
|
||||
1 / 12
|
||||
);
|
||||
let spending = 0;
|
||||
for (const item of inputs.personal) {
|
||||
if (!activeIn(item, first, last)) continue;
|
||||
const value = monthly(item);
|
||||
if (value >= 0) income += value;
|
||||
else spending -= value * growth;
|
||||
if (value >= 0) income += retired ? 0 : value;
|
||||
else spending -= value * spendGrowth;
|
||||
}
|
||||
spending += params.otherSpendEuros * 100 * growth;
|
||||
if (first >= '2027-01-01') spending += params.healthInsuranceEuros * 100 * growth;
|
||||
spending += params.otherSpendEuros * 100 * spendGrowth;
|
||||
if (first >= '2027-01-01') spending += params.healthInsuranceEuros * 100 * spendGrowth;
|
||||
if (first < moveDate.slice(0, 7) + '-01') spending += facts.preMoveHouseholdCents;
|
||||
else {
|
||||
let household = params.householdExtraEuros * 100;
|
||||
for (const item of inputs.household)
|
||||
if (activeIn(item, first, last)) household -= monthly(item);
|
||||
spending += household * pct(params.householdSharePercent) * growth;
|
||||
spending += household * pct(params.householdSharePercent) * spendGrowth;
|
||||
}
|
||||
if (first === moveDate.slice(0, 7) + '-01') spending += params.moveCostEuros * 100;
|
||||
if (year >= facts.duoFrom) spending += facts.duoCents;
|
||||
if (year >= facts.duoFrom && year <= facts.duoUntil) spending += facts.duoCents;
|
||||
for (const item of inputs.oneOffs)
|
||||
if ((index === 0 ? item.date > inputs.today : item.date >= first) && item.date <= last) {
|
||||
if (item.amountCents >= 0) income += item.amountCents;
|
||||
@@ -423,42 +613,55 @@ export function runScenario(inputs: ScenarioInputs, params: ScenarioParams): Sce
|
||||
box3Due = 0;
|
||||
}
|
||||
cash += income - spending - tax;
|
||||
// Returns: a crash spreads over March–October of its year.
|
||||
const crash = params.crashPercent !== 0 && year === params.crashYear;
|
||||
const yearly =
|
||||
params.crashPercent !== 0 && year > params.crashYear
|
||||
? pct(params.recoveryPercent)
|
||||
: pct(params.returnPercent);
|
||||
const rate = crash
|
||||
? month >= 3 && month <= 10
|
||||
? Math.pow(1 + pct(params.crashPercent), 1 / 8) - 1
|
||||
: 0
|
||||
: Math.pow(1 + yearly, 1 / 12) - 1;
|
||||
// Returns: crash and correction years spread their drop over March–October.
|
||||
const market = markets.yearReturn(year);
|
||||
const rate =
|
||||
market.kind === 'normal'
|
||||
? Math.pow(1 + market.rate, 1 / 12) - 1
|
||||
: month >= 3 && month <= 10
|
||||
? Math.pow(1 + market.rate, 1 / 8) - 1
|
||||
: 0;
|
||||
invested += invested * rate;
|
||||
cash *= Math.pow(1 + pct(params.cashRatePercent), 1 / 12);
|
||||
if (cash > facts.bufferCents) {
|
||||
const extra = cash - facts.bufferCents;
|
||||
const buffer = facts.bufferCents * deflator;
|
||||
if (cash > buffer) {
|
||||
const extra = cash - buffer;
|
||||
invested += extra;
|
||||
basis += extra;
|
||||
contributedThisYear += extra;
|
||||
cash = facts.bufferCents;
|
||||
cash = buffer;
|
||||
} else if (cash < 0 && invested > 0) {
|
||||
// Withdrawals: sell investments to cover the shortfall.
|
||||
const sold = Math.min(invested, -cash);
|
||||
const soldBasis = invested > 0 ? basis * (sold / invested) : 0;
|
||||
realisedThisYear += sold - soldBasis;
|
||||
basis -= soldBasis;
|
||||
invested -= sold;
|
||||
contributedThisYear -= sold;
|
||||
cash += sold;
|
||||
}
|
||||
if (month === 12) {
|
||||
const gain = invested - investedAtYearStart - contributedThisYear;
|
||||
if (year >= 2028) box3Due = params.box3 === 'accrual' ? Math.max(0, gain - 100000) * 0.36 : 0;
|
||||
else {
|
||||
if (year >= 2028) {
|
||||
const taxable = params.box3 === 'accrual' ? gain : realisedThisYear;
|
||||
const net = taxable - lossCarried;
|
||||
if (net < 0) {
|
||||
lossCarried = -net;
|
||||
box3Due = 0;
|
||||
} else {
|
||||
lossCarried = 0;
|
||||
box3Due = Math.max(0, net - facts.box3FreeCents) * facts.box3Rate;
|
||||
}
|
||||
} else {
|
||||
const exempt = year === 2026 ? 5_935_700 : 3_084_600;
|
||||
const deemed = year === 2026 ? 0.06 : 0.0787;
|
||||
box3Due = Math.max(0, invested - Math.max(0, exempt - cash)) * deemed * 0.36;
|
||||
box3Due = Math.max(0, invested - Math.max(0, exempt - cash)) * deemed * facts.box3Rate;
|
||||
}
|
||||
}
|
||||
const total = cash + invested;
|
||||
const elapsed = (index + 1) / 12;
|
||||
const real = total / Math.pow(1 + pct(params.inflationPercent), elapsed);
|
||||
const real = total / deflator;
|
||||
recentRealIncome.push(income / deflator);
|
||||
if (recentRealIncome.length > 12) recentRealIncome.shift();
|
||||
points.push({ date, cash, invested, total, real });
|
||||
row.income += income;
|
||||
row.spending += spending + tax;
|
||||
@@ -466,6 +669,9 @@ export function runScenario(inputs: ScenarioInputs, params: ScenarioParams): Sce
|
||||
row.total = total;
|
||||
row.invested = invested;
|
||||
row.real = real;
|
||||
row.grossMonthly = employed ? gross : 0;
|
||||
row.baseReal = retired ? 0 : (gross * 12) / deflator / 100;
|
||||
row.role = retired ? 'Retired' : roleFor(row.baseReal);
|
||||
for (const milestone of milestones)
|
||||
if (milestone.date === null && milestone.test()) milestone.date = first.slice(0, 7);
|
||||
}
|
||||
@@ -492,9 +698,14 @@ export function scenarioColor(id: ScenarioId) {
|
||||
}
|
||||
|
||||
/** Total, spendable and invested lines in the shape `wealthTimeline` expects for a projection. */
|
||||
export function scenarioProjection(result: ScenarioResult): ChartSeries[] {
|
||||
export function scenarioProjection(result: ScenarioResult, todaysEuros = false): ChartSeries[] {
|
||||
const line = (key: 'total' | 'cash' | 'invested') =>
|
||||
result.points.map((point) => ({ date: point.date, value: Math.round(point[key]) }));
|
||||
result.points.map((point) => ({
|
||||
date: point.date,
|
||||
value: Math.round(
|
||||
todaysEuros && point.total ? point[key] * (point.real / point.total) : point[key]
|
||||
)
|
||||
}));
|
||||
return [
|
||||
{ label: 'Total wealth', color: '#0070f3', points: line('total'), emphasis: true },
|
||||
{ label: 'Spendable', color: '#46a758', points: line('cash') },
|
||||
@@ -506,7 +717,8 @@ export function scenarioProjection(result: ScenarioResult): ChartSeries[] {
|
||||
export function scenarioCompareLines(
|
||||
results: Record<ScenarioId, ScenarioResult>,
|
||||
params: Record<ScenarioId, ScenarioParams>,
|
||||
today: string
|
||||
today: string,
|
||||
todaysEuros = false
|
||||
): ChartSeries[] {
|
||||
return scenarioIds.map((id) => ({
|
||||
label: params[id].label,
|
||||
@@ -514,6 +726,9 @@ export function scenarioCompareLines(
|
||||
dashedFrom: today,
|
||||
points: results[id].points
|
||||
.filter((point) => point.date > today)
|
||||
.map((point) => ({ date: point.date, value: Math.round(point.total) }))
|
||||
.map((point) => ({
|
||||
date: point.date,
|
||||
value: Math.round(todaysEuros ? point.real : point.total)
|
||||
}))
|
||||
}));
|
||||
}
|
||||
|
||||
@@ -41,7 +41,12 @@
|
||||
accountBalances,
|
||||
accountColor,
|
||||
clipSeries,
|
||||
type ForecastHorizon,
|
||||
forecastHorizons,
|
||||
gridFor,
|
||||
type HistoryRange,
|
||||
horizonEnd,
|
||||
parseHorizon,
|
||||
historyStart,
|
||||
parseHistoryRange,
|
||||
monthlyCents,
|
||||
@@ -140,6 +145,27 @@
|
||||
)
|
||||
.reduce((sum, item) => sum + monthlyCents(item.amountCents, item.cadence), 0)
|
||||
);
|
||||
// History range sets how far back the chart starts, the forecast horizon how far ahead it
|
||||
// projects; both live in the URL (?range=, ?horizon=).
|
||||
let horizon = $state<ForecastHorizon>(parseHorizon(page.url.searchParams.get('horizon')));
|
||||
let forecastEnd = $derived(horizonEnd(horizon, data.today));
|
||||
function setHorizon(value: string) {
|
||||
horizon = parseHorizon(value);
|
||||
const url = new URL(window.location.href);
|
||||
url.searchParams.set('horizon', horizon);
|
||||
replaceState(url, page.state);
|
||||
}
|
||||
// Nominal or today's euros (?euros=today): far-out nominal numbers mostly measure inflation.
|
||||
let todaysEuros = $state(page.url.searchParams.get('euros') === 'today');
|
||||
function setEuros(value: string) {
|
||||
todaysEuros = value === 'today';
|
||||
const url = new URL(window.location.href);
|
||||
if (todaysEuros) url.searchParams.set('euros', 'today');
|
||||
else url.searchParams.delete('euros');
|
||||
replaceState(url, page.state);
|
||||
}
|
||||
const horizonLabel = (value: ForecastHorizon) =>
|
||||
value === '1y' ? '1 year' : `${Number.parseInt(value)} years`;
|
||||
let projection = $derived(
|
||||
wealthProjection(
|
||||
data.accounts,
|
||||
@@ -148,7 +174,8 @@
|
||||
data.forecasts,
|
||||
data.recurring,
|
||||
data.projectionSettings,
|
||||
data.today
|
||||
data.today,
|
||||
forecastEnd
|
||||
)
|
||||
);
|
||||
type ProjectionView = ScenarioId | 'compare' | 'simple';
|
||||
@@ -184,7 +211,7 @@
|
||||
forecasts: data.forecasts,
|
||||
futureTransactions,
|
||||
today: data.today,
|
||||
endDate: data.projectionSettings?.endDate
|
||||
endDate: forecastEnd
|
||||
})
|
||||
);
|
||||
let scenarioResults = $derived(
|
||||
@@ -195,8 +222,30 @@
|
||||
let selectedScenario = $derived<ScenarioId>(
|
||||
projectionView === 'compare' || projectionView === 'simple' ? 'realistic' : projectionView
|
||||
);
|
||||
/** The simple projection in today's euros, using the realistic scenario's inflation. */
|
||||
function deflated(series: typeof projection) {
|
||||
const yearly = 1 + scenarioParams.realistic.inflationPercent / 100;
|
||||
const start = Date.parse(`${data.today}T12:00:00Z`);
|
||||
return series.map((line) => ({
|
||||
...line,
|
||||
points: line.points.map((point) => ({
|
||||
...point,
|
||||
value: Math.round(
|
||||
point.value /
|
||||
Math.pow(
|
||||
yearly,
|
||||
(Date.parse(`${point.date}T12:00:00Z`) - start) / (365.25 * 86_400_000)
|
||||
)
|
||||
)
|
||||
}))
|
||||
}));
|
||||
}
|
||||
let activeProjection = $derived(
|
||||
projectionView === 'simple' ? projection : scenarioProjection(scenarioResults[selectedScenario])
|
||||
projectionView === 'simple'
|
||||
? todaysEuros
|
||||
? deflated(projection)
|
||||
: projection
|
||||
: scenarioProjection(scenarioResults[selectedScenario], todaysEuros)
|
||||
);
|
||||
const timelineViews: { id: TimelineView; label: string }[] = [
|
||||
{ id: 'total', label: 'Total' },
|
||||
@@ -223,7 +272,7 @@
|
||||
projectionView === 'compare' && timelineView === 'total'
|
||||
? [
|
||||
...wealthTimeline(data.accounts, actualTransactions, [], data.today, 'total'),
|
||||
...scenarioCompareLines(scenarioResults, scenarioParams, data.today)
|
||||
...scenarioCompareLines(scenarioResults, scenarioParams, data.today, todaysEuros)
|
||||
]
|
||||
: wealthTimeline(
|
||||
data.accounts,
|
||||
@@ -235,6 +284,12 @@
|
||||
historyStart(historyRange, data.today)
|
||||
)
|
||||
);
|
||||
let chartGrid = $derived(
|
||||
gridFor(
|
||||
timeline.flatMap((line) => line.points.map((point) => point.date)).sort()[0],
|
||||
forecastEnd
|
||||
)
|
||||
);
|
||||
let projectionEnd = $derived(activeProjection.map((line) => line.points.at(-1)?.value ?? 0));
|
||||
let wishTiers = $derived(
|
||||
[5, 4, 3, 2, 1].map((tier) => ({
|
||||
@@ -386,7 +441,9 @@
|
||||
activeProjection[0].points.at(-1)?.date ?? data.today
|
||||
)}{projectionView === 'simple'
|
||||
? ''
|
||||
: ` · ${scenarioParams[selectedScenario].label.toLowerCase()}`}
|
||||
: ` · ${scenarioParams[selectedScenario].label.toLowerCase()}`}{todaysEuros
|
||||
? ' · today’s €'
|
||||
: ''}
|
||||
</p>
|
||||
<p class="stat-value">{@render signed(projectionEnd[0])}</p>
|
||||
</div>
|
||||
@@ -433,12 +490,32 @@
|
||||
>{/each}</Tabs.List
|
||||
></Tabs.Root
|
||||
>
|
||||
<label class="horizon-picker"
|
||||
><span>Forecast</span><NativeSelect
|
||||
value={horizon}
|
||||
onchange={(event) => setHorizon(event.currentTarget.value)}
|
||||
aria-label="Forecast horizon"
|
||||
>{#each forecastHorizons as item (item)}<option value={item}
|
||||
>{horizonLabel(item)}</option
|
||||
>{/each}</NativeSelect
|
||||
></label
|
||||
>
|
||||
<Tabs.Root
|
||||
value={todaysEuros ? 'today' : 'nominal'}
|
||||
onValueChange={setEuros}
|
||||
aria-label="Euros shown"
|
||||
><Tabs.List
|
||||
><Tabs.Trigger value="nominal">Nominal €</Tabs.Trigger><Tabs.Trigger value="today"
|
||||
>Today’s €</Tabs.Trigger
|
||||
></Tabs.List
|
||||
></Tabs.Root
|
||||
>
|
||||
</div>
|
||||
<MoneyChart
|
||||
series={timeline}
|
||||
title="Actual and projected wealth over time"
|
||||
marker={{ date: data.today, label: 'Today' }}
|
||||
grid={historyRange === 'all' ? 'years' : 'months'}
|
||||
grid={chartGrid}
|
||||
/>
|
||||
<div class="projection-totals" aria-label="Projected balances at end of period">
|
||||
<div>
|
||||
@@ -470,7 +547,9 @@
|
||||
Scenarios start from today’s balances and run monthly on the recurring list, one-off
|
||||
estimates (salary extras such as holiday pay, the 13th month and the bonus are modelled
|
||||
per scenario instead), and the assumptions above. Compare shows all three totals; Simple
|
||||
is the setting-based projection.
|
||||
is the setting-based projection. The history tabs set how far back the chart starts and
|
||||
Forecast how far ahead it runs (1–100 years); Today’s € divides projected values by the
|
||||
scenario’s inflation so long horizons stay comparable.
|
||||
</p>
|
||||
{:else}<p class="muted projection-note">
|
||||
Includes future dated transactions and estimates{data.projectionSettings
|
||||
@@ -1186,8 +1265,8 @@
|
||||
>
|
||||
<label class="field"
|
||||
>Project through<Input name="endDate" type="date" value={active.endDate ?? ''} /><small
|
||||
>Optional, up to 20 years ahead. By default, ends at the latest future entry, or one
|
||||
year from today.</small
|
||||
>Not used by the chart, which projects as far as the Forecast picker above it (1–100
|
||||
years).</small
|
||||
></label
|
||||
>
|
||||
<label class="field check-field"
|
||||
|
||||
@@ -634,3 +634,10 @@
|
||||
width: 100%;
|
||||
}
|
||||
}
|
||||
.money-app .horizon-picker {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
font-size: 14px;
|
||||
color: var(--site-muted);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user