Most market news explains yesterday’s move and changes nothing about the long run. Here is how to tell noise from signal, what the data says about headline-driven selloffs, and a data‑first routine that keeps news from running your portfolio.
Market risk reading, cross‑asset context and an events calendar: see Exent →
Noise is information that moves prices for hours or days without changing what companies will earn. Signal is information that changes the backdrop for months or years: profits, interest rates, credit conditions or the direction of the economy. The same event can be either, depending on whether it lasts.
| Usually noise | Possibly signal |
|---|---|
| A one-day drop explained by “investor jitters” | Earnings estimates falling across many sectors for months |
| A strategist’s year-end index target | A lasting shift in Federal Reserve policy |
| A single weak data release | Several indicators turning the same way, such as claims, surveys and credit |
| A viral post about a crash “coming soon” | Corporate bond spreads widening sharply and staying wide |
| A big move in a stock you do not own | A change in the business of a company you do own |
Because much of it is written to explain a move that already happened, fast, for an audience that wants a reason. Prices move for many overlapping reasons, and a headline has to pick one. On another day the same data gets the opposite explanation.
If you no longer trust financial news, the answer is not to ignore it but to change its job: use it to find out what happened, then check the numbers yourself. Our list of sources for daily market news separates primary data from commentary.
Most of the scary selloffs of the past decade were recovered within the same year or soon after; the exception was a real change in the backdrop. Exent’s data, as of Sep 30, 2026:
| Episode | What the headlines said | SPY peak to trough | SPY calendar-year return |
|---|---|---|---|
| 2018 trade-war selloff | Trade war, rate hikes | −20.2% | 2018: −4.6%; 2019: +31.2% |
| COVID crash, Feb–Mar 2020 | Pandemic, lockdowns | −34.1% | 2020: +18.3% |
| 2022 inflation bear market | Inflation, fast rate hikes | −25.4% | 2022: −18.2%; 2023: +26.2% |
| 2025 tariff selloff | Tariffs, trade war | −19.0% | 2025: +17.7% |
Since mid-2016, SPY fell more than 4% in 16 separate months, averaging −6.7% in those months. It still rose in 7 of the 9 full calendar years from 2017 to 2025. 2022 is the case where the headlines were signal: rising rates were a lasting change in the backdrop, and the market stayed down for the year. Past patterns do not guarantee future ones.
April 2025 shows how fast headlines reverse. The S&P 500 lost about $5 trillion over April 3–4 (Reuters, LSEG data), then rose 9.5% on April 9 when most new tariffs were paused (Russell Investments). Anyone who sold on the first two days and waited for calm missed the rebound. More in how tariffs affect stocks.
A regime-first approach looks at the overall market backdrop before reacting to any single story. The question changes from “is this headline bad?” to “has the environment changed?” A sharp drop in a calm, growing economy with easy credit is a different event from the same drop while credit is tightening and earnings are falling.
In practice that means tracking a few slow-moving conditions, such as interest rates, inflation, earnings trends and credit conditions, and treating a headline as important only when it moves one of them. Our guide to what a market regime is covers the idea in depth, and bull or bear market covers how to tell which one you are in.
Replace the headline with the number behind it, and give yourself time before acting. A few habits help:
The economic calendar helps here too: knowing CPI is out on Wednesday explains a big move that morning before any headline does.
Decide how much risk you can live with before the news arrives. If you know in advance what your portfolio would lose in a 2020- or 2022-style drop, a scary headline becomes a known scenario instead of a shock. A portfolio stress test does exactly that, and drawdown tolerance covers how to set the limit.
Both halves matter: a short, sourced read of what changed in the backdrop, and your own numbers in a crash, known before the next one.
When it changes the facts your plan was built on. That can be a lasting shift in interest rates or inflation, a sustained widening of credit spreads, falling earnings across the market, a real change at a company you own, or a change in your own life, such as needing the money sooner. A price drop alone is rarely one of them. History suggests that timing the market on headlines is hard to do well.
Decide in advance how much loss you can tolerate and what evidence would make you change your plan, then wait at least a day before acting on any headline. Knowing your portfolio’s likely loss in a past crash makes a selloff less of a surprise.
Prices reflect expectations. If the news was less bad than feared, or makes interest rate cuts more likely, stocks can rise on a headline that sounds negative.
Reports of what happened are usually accurate; explanations of why prices moved are often guesses written after the fact. Check important claims against primary sources such as the Fed, BLS or company filings.
For a long-term portfolio, a short daily or weekly check is usually enough. Checking constantly tends to increase the urge to trade without improving decisions.
A market regime is the overall backdrop for investing, such as a calm expansion or a stressed, tightening environment. Looking at the regime first helps you judge whether a headline changes anything.
Market intel provides a Risk ON / Neutral / Risk OFF reading from four pillars, cross-asset analysis, an events calendar and regular written notes. Context for reviewing a plan, not a crash forecast.
Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.