ONE FEELING. TWO FUTURES.

Your market scenario

My portfolio growth was % in the last months.

My gut feeling: a market crash in months.

I will panic if it drops more than %.

Try a scenario. Change your mind. See the tradeoffs.

What if you're right?
What if you're wrong?

Compare scenarios · dates, recovery times & sources

Depth groups: pullbacks under 10%, corrections from 10% to under 20%, bear markets from 20%. Depth does not tell you how long a decline or recovery will take. This deliberately selected library spans different shapes; it is not a representative frequency sample and cannot estimate the odds of a crash. Some events overlap.

Daily closes only—intraday plunges, highs and lows are excluded. We measure the selected pre-crash closing peak, the lowest close before recovery, and the first close back at that peak. Long cycles include later crises—not one uninterrupted decline. Figures are in each index’s local currency, without inflation or FX adjustments.

Selected historical drawdowns · not a ranking
Scenario / benchmarkPeak → bottomDropTime to bottomBottom → recoveryTotal to recoveryFirst recovery / data end

Price indices exclude dividends. Brazil’s Ibovespa is the exception: it is a total-return index including distributions. The 1929 entry uses the S&P composite predecessor, not the Dow. Korea and Thailand use their 1997 local peaks, not their 1994 all-time highs.

Statistics use available daily closes. Cycles lasting up to 366 days retain every daily close; longer replays use weekly closes plus exact peak, bottom and recovery points. Between observations, values are linearly interpolated. Requested data cutoff: 14 September 2026. Greece’s available series stops on 17 July 2026; no later recovery is asserted. Full research & methodology ↗

What could you do?

Your money through this scenario

Stay invested

Adjust assumptions

Start with the example, or use your own numbers. Changing an assumption updates both futures.

Your money

The crash you imagine

Your confidence only weights the optional expected-value comparison below.

How you respond

Re-entry uses the first qualifying modeled price. Custom scenarios check monthly; historical scenarios check retained closing-price points and month-end interpolations. Execution at that price is a simplifying assumption, not a guaranteed fill. If no trigger is seen, savings stay parked.

Savings data & source links

These describe rates observed during the historical episode, not changes proven to have been caused by the crash. A deposit-rate proxy can include term deposits and is not necessarily an instant-access savings average. All 20 scenarios: savings-rate research ↗ · Download data & source URLs

Both futures, side by side
Your responseCrash comesNo crashGut-weighted valueLargest portfolio fall*

*Peak-to-trough fall in total portfolio value, including contributions. This differs from your market panic threshold.

Changes update your scenarios immediately.
How this thought experiment works

“A crash in X months” sets when it starts, not how long it lasts. In historical mode, the peak is placed X months from now; the selected market’s subsequent closing-price path supplies the decline and recovery duration. These are stress tests, not forecasts or personal investment advice.

We compare four responses in the crash and no-crash futures. Each month, investments move first, savings earn interest, you act if scheduled, and then you contribute. Savings return to investments when your selected re-entry rule triggers: a chosen drop from the pre-crash level, the first rebound from the lowest level seen so far after a fall, full recovery after a fall, or a fixed number of months after the expected crash start. Checks begin at the expected crash start and never buy before your move to savings. Until re-entry, strategies that sell investments also park new contributions in savings. The same rule is evaluated separately in each future; an unmet condition leaves savings parked. Rebound rules can trigger on a false rally before a deeper fall. No future bottom is consulted.

The savings rate stays constant by default. The optional historical mode adds that market’s observed percentage-point rate changes to your starting savings rate, floored at zero. Before the crash, and in the no-crash world, your rate stays constant. Broader deposit series are labeled as proxies. Annual data cannot resolve monthly reactions. After rate-data coverage ends, the last modeled rate is held constant as an explicit assumption. The euro display does not imply that a euro savings account would follow a foreign market’s rates.

Your personal scenario uses an editable drop, decline duration and bottom-to-recovery time. Zero decline months means a one-off drop. The recovery-only growth rate is calculated to regain the pre-crash market level over your chosen recovery period. Before the crash and after recovery, the model uses the compounded monthly rate implied by your previous portfolio growth. That previous rate also applies throughout the no-crash world. Continuing past growth is an assumption, not a forecast. Historical paths include later setbacks without speeding them up. They stop at the first recovery or last available observation; no future recovery is invented. Only daily closing levels are researched, never intraday extremes. The replay interpolates weekly samples and exact turning points, so it is not exact daily execution. Contributions occur at completed month ends; historical calendar days are converted using 365.2425 days per year. Interest compounds separately across rate changes; quoted annual rates are treated as effective annual yields, an approximation where the source quotes nominal rates.

No taxes, transaction fees, account restrictions, bank-default risk, inflation or currency conversion are modeled. Most historical indices exclude dividends; Brazil’s Ibovespa includes distributions. The euro amounts apply the index’s percentage changes to your example portfolio; they are not historical euro returns. The no-crash world uses a constant growth assumption: derived from previous portfolio growth for your personal scenario, or separately chosen for a historical replay.