What other signs do investors use to get out of the market?
Drawdown limits tie the rule to your own losses: for example, cut stocks by a quarter once the portfolio is 15% below its high, and by another quarter at 25%. They always act after the fall has started.
Macro conditions read the backdrop instead of the price. They are usually grouped into four pillars: liquidity (how much money and credit is flowing through the system), credit stress (how hard and costly it is for companies to borrow), the economic cycle (where the economy is: growing faster, slowing or shrinking) and sentiment (investor mood, from fear to complacency). A macro regime score sums up the backdrop in one reading: risk‑on, neutral or risk‑off. Conditions can change before prices break, but sudden shocks do not show up in advance.
Personal triggers ignore the market: money needed within 2–3 years, a retirement date, a loan against the portfolio, or one stock grown into a large share of your wealth. They call for reducing risk on a schedule, whatever prices do.
Why not step aside on a headline or a forecast?
Because the best days come in the middle of the worst periods, and a sale on fear tends to miss them. In Exent’s data (Jul 2016 – Sep 2026, 2,569 trading days), the S&P 500 returned 15.2% a year. Missing a handful of days changed that a lot:
| If you held the S&P 500 and… | Return a year |
|---|
| stayed invested every day | 15.2% |
| missed the 10 best days | 8.2% |
| missed the 20 best days | 4.9% |
| missed the 10 worst days | 22.9% |
| missed the 10 best and the 10 worst days | 15.5% |
All 10 of the best days came while the index was already below its 200‑day average, and 8 of them came within 10 trading days of one of the 10 worst. On April 9, 2025, three trading days after the two worst days of the tariff selloff, the S&P 500 had its best day since 2008, Yahoo Finance reported.
The last row shows the other side: missing both the 10 best and the 10 worst days left the return slightly higher, at 15.5% a year. Stepping aside by rule once a downturn is under way is a different act from selling on a forecast, which has a weak record. J.P. Morgan Asset Management’s 2025 Guide to Retirement found that missing the 10 best days over 20 years cut annualized return by almost half. More in does market timing work and should I go to cash before a crash.
Should you step aside all at once or in steps?
Many investors move in steps, because no signal is right every time. Stages keep part of the portfolio invested if the signal is a false alarm, and still lower the loss if it is not. These fixed mixes show what a lower stock share changed (Jul 2016 – Sep 2026, rebalanced monthly, hypothetical):
| Portfolio | Return a year | Volatility | Worst fall | 2022 bear | COVID 2020 |
|---|
| 100% S&P 500 | 15.2% | 17.8% | −33.7% | −24.5% | −33.7% |
| 60% S&P 500 / 40% T‑bills | 10.1% | 10.5% | −20.8% | −15.0% | −20.8% |
| 50% S&P 500 / 50% T‑bills | 8.8% | 8.7% | −17.4% | −12.5% | −17.4% |
| Portfolio | 100% S&P 500 | 60% S&P 500 / 40% T‑bills | 50% S&P 500 / 50% T‑bills |
|---|
| Return a year | 15.2% | 10.1% | 8.8% |
| Volatility | 17.8% | 10.5% | 8.7% |
| Worst fall | −33.7% | −20.8% | −17.4% |
| 2022 bear | −24.5% | −15.0% | −12.5% |
| COVID 2020 | −33.7% | −20.8% | −17.4% |
Holding half in T‑bills roughly halved the worst fall (−17.4% against −33.7%) and gave up about 6 points of return a year. A step‑aside rule works the same way, but only for part of the time. Illustrative: a $1,000,000 portfolio with 80% in stocks might cut to 60% on a first trigger and to 40% on a second, keeping $400,000 invested. A further 30% fall would then cost about $120,000 instead of $240,000.
All‑out moves fit personal triggers best: money you need soon is exposed to a crash whatever the signals say.
What brings you back in after you step aside?
A re‑entry rule, written at the same time as the exit. Without one, many investors wait for calm, and calm usually arrives after the rebound. Every S&P 500 decline of 10% or more in the period got back to its old high, between 89 and 513 trading days after the peak:
| Peak | Trough | Fall | Back to the peak | Trading days, peak to recovery |
|---|
| Jan 26, 2018 | Apr 2, 2018 | −10.2% | Aug 24, 2018 | 146 |
| Sep 20, 2018 | Dec 24, 2018 | −20.2% | Apr 29, 2019 | 150 |
| Feb 19, 2020 | Mar 23, 2020 | −34.1% | Aug 18, 2020 | 126 |
| Jan 3, 2022 | Oct 12, 2022 | −25.4% | Jan 19, 2024 | 513 |
| Feb 19, 2025 | Apr 8, 2025 | −19.0% | Jun 27, 2025 | 89 |
- Jan 26, 2018
- Trough
- Apr 2, 2018
- Fall
- −10.2%
- Back to the peak
- Aug 24, 2018
- Trading days, peak to recovery
- 146
- Sep 20, 2018
- Trough
- Dec 24, 2018
- Fall
- −20.2%
- Back to the peak
- Apr 29, 2019
- Trading days, peak to recovery
- 150
- Feb 19, 2020
- Trough
- Mar 23, 2020
- Fall
- −34.1%
- Back to the peak
- Aug 18, 2020
- Trading days, peak to recovery
- 126
- Jan 3, 2022
- Trough
- Oct 12, 2022
- Fall
- −25.4%
- Back to the peak
- Jan 19, 2024
- Trading days, peak to recovery
- 513
- Feb 19, 2025
- Trough
- Apr 8, 2025
- Fall
- −19.0%
- Back to the peak
- Jun 27, 2025
- Trading days, peak to recovery
- 89
Re‑entry rules usually mirror the exit: the index closing back above its 200‑day average, buying back in thirds over three months, or macro conditions turning back to risk‑on. Their costs are compared in when to get back into the market. If the question is whether to sell at all, see should I sell my stocks before a crash.
Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.
DISCLAIMER: Exent AI is an informational research platform and does not provide investment advice, financial advice, or act as an investment adviser, broker-dealer, or fiduciary. All content, analytics, and model outputs are provided for educational and informational purposes only and should not be relied upon as a recommendation to buy, sell, or hold any financial instrument. Investing involves risk, including the possible loss of principal. Exent AI does not execute trades, hold customer funds, or provide brokerage services. Past performance and hypothetical results are not indicative of future results. Third-party data and AI-generated outputs may be incomplete or inaccurate.