The question
What if I never sold?
$500 weekly S&P 500 DCA since 2015 held to the last date — no rebalancing out, no panic sales. Historical contributions versus ending value.
Quick answer
If you invested $100/week into S&P 500 from 2015-01-02 through 2026-09-04, total contributions would have been about $61,000 and a blind DCA portfolio would be worth about $159,919 (+162.2%) on this historical path — before fees and taxes.
Assumptions
What this page actually assumes
- You keep buying $500/week.
- You do not sell in 2018, 2020, or 2022.
- Ending value is marked at the last Friday we publish — still invested.
- No tax-loss harvesting, no cash-out for a house. This page is the boring hold.
Historical data
2015-01-02 → 2026-09-04
The line includes every drawdown in the 2015+ window. If the chart looks painful in 2020 or 2022, that is the point: “never sold” is a rule you would have had to keep on those Fridays.
Series: S&P 500. Same contribution calendar. No data before 2015.
Interactive simulation
Change the habit, stay on the real curve
$100/week · S&P 500
2015-01-02 → 2026-09-04 · $100/week · S&P 500
Contributed$61,000Held to the last date$159,919Return+162.2%SteadyGrow value$207,092vs blind DCA+$47,174S&P 5002015-01-02 → 2026-09-04 · $100/week+$47,174 vs blind (+29.5%)Ended +29.5%Blind DCASteadyGrowResults
What the numbers say
Contributed capital versus portfolio value is the hold. SteadyGrow’s line is the same rule with variable weekly size — still no selling the stack, just changing how much new cash arrives.
The chart marks portfolio value over time for blind DCA, SteadyGrow sizing, and (when shown) a same-capital lump sum. Contributed cash rises in steps; ending value is mark-to-market on the last date. SteadyGrow ends about $47,174 ahead of blind DCA on the same long-run budget.
What changes if…
How did we calculate this?
- Window: real market history from our published backtest bundle, typically from 2015 through the latest Friday in the series — we do not invent older decades.
- Contribution calendar: the engine runs on a weekly Friday grid. A “monthly” habit is converted to an equivalent weekly cash rate ((amount × 12) / 52) so the same engine can compare habits.
- Purchase timing: each period’s contribution is applied on that week’s bar in the series (close-based weekly path), not an intraday open fill.
- Assets: S&P 500, Bitcoin, and other series we publish — USD only. No FX conversion.
- Shares: fractional units are assumed. No brokerage commissions, bid–ask, or slippage are modeled.
- Dividends / income: returns follow the wealth path in the backtest bundle for that asset (not a fixed 7–10% toy rate).
- Blind DCA vs SteadyGrow: blind buys the same cash every period; SteadyGrow keeps the same long-run budget but sizes weeks from the model’s multipliers.
- Lump sum (when shown): the same total cash as the DCA habit, invested on day one of the window, then marked to the same path.
Frequently asked questions
- What if I never sold?
- From 2015-01-02 to 2026-09-04, $100/week into S&P 500 contributed about $61,000 and a blind DCA habit ended near $159,919 (+162.2%).
- Are these numbers a forecast?
- No. They replay published market history from 2015 onward. Future returns can look nothing like this window.
- What assumptions matter most?
- Start date, contribution size, weekly vs monthly cadence, and whether you held through drawdowns. Fees and taxes are not modeled.
- Can I change the amount or start year?
- Yes — use the chips on this page when available, or open a related what-if / calculator with a different habit.
- How is this different from a 7% compound calculator?
- Fixed-rate toys assume a smooth return. We mark contributions to a real index/crypto path, including crashes in the window.
- What if I had traded instead?
- See The Boring Alternative for story-shaped counterfactuals (options losses, round-trips), then run the same dollars through an index DCA calculator.
What if the weekly amount wasn't always the same?
These pages fix the contribution. SteadyGrow keeps the same long-term budget and sizes weeks from valuation — more when markets are cheap, less when they're stretched.
What if?