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A 200-day moving average shows how a security’s current price compares with its average price over roughly the last 200 trading sessions. It can help describe a long-term price trend, but it is backward-looking: being above or below the line does not establish whether a stock is fairly valued, predict its next move, or guarantee a trading outcome.
What does the 200-day moving average tell you?
A simple moving average (SMA) smooths a series of historical prices by adding the observations in a chosen window and dividing by their number. Each observation receives equal weight. On a daily stock chart, a 200-day SMA uses the trailing 200 daily price observations—ordinarily trading sessions, not 200 calendar days. The Federal Reserve Bank of Boston describes moving averages as a way to smooth price trends and filter volatile daily movements.
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If the current price is above the line, it is higher than that trailing average; if below, it is lower. Chart readers often describe these positions as the stronger or weaker side of the reference, respectively. They are descriptions of recent price action—not evidence about a company’s earnings, balance sheet, or whether its shares are cheap or expensive. An average of past prices cannot answer those fundamental questions.
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A long lookback dampens some day-to-day noise, making the broad direction easier to see. Because many market participants monitor the 200-day average, its position and crossings can become widely discussed chart reference points. That attention does not make the line a price floor, ceiling, or rule that the market must respect.
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What it doesn’t tell you
It does not predict a turning point
The average is calculated from prices that have already occurred, so it responds after the market moves. Following a sharp reversal, the line can continue to reflect the preceding trend for some time. The Federal Reserve Bank of Boston warns: “However, this simple tool can often be misleading because of its dependence on trending markets and its inability to capture quick market turns.”
It does not guarantee that a trend will continue
In a sustained trend, prices may remain on one side of the moving average. In a sideways market, however, price and the line can cross repeatedly, producing whipsaws rather than a clear directional signal. Neither a move above the average nor a move below it guarantees what comes next.
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It does not measure fundamentals or make a personal decision for you
The line summarizes price history. It does not determine a security’s intrinsic value, assess a business’s financial condition, or account for an individual investor’s goals, time horizon, or risk tolerance. Treating a position relative to the average as an automatic buy or sell decision gives a chart reference more meaning than it can support.
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It is often described as a bullish chart condition because the current price is above its trailing average. That is a convention for describing trend, not a promise of future gains or a standalone reason to buy. The Fidelity explanation of technical analysis characterizes technical analysis as reactive and probability-based rather than certain. A stock can fall after moving above its 200-day average, just as it can rise while below it.
What are Golden Cross and Death Cross signals?
These terms describe a crossover between a shorter moving average and the 200-day average, commonly using the 50-day SMA as the shorter line:
- Golden cross: the 50-day SMA crosses above the 200-day SMA. Market participants commonly regard this as bullish.
- Death cross: the 50-day SMA crosses below the 200-day SMA. Market participants commonly regard this as bearish.
The names label a chart condition; they do not prove that prices will keep moving in the same direction. Like the 200-day average itself, crossovers are backward-looking and can arrive after much of a move has already happened. In a choppy market, they may also reverse.
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Does the 200-day moving average predict the market?
No. It summarizes past prices and may help describe a trend, but it cannot reliably forecast a crash, rebound, or exact turning point. Whether a strategy based on the average would have performed well historically is a different question from whether it will work in the future.
What historical tests found
A 2013 peer-reviewed study by Clare, Seaton, Smith, and Thomas tested technical rules on the S&P 500, including a popular 200-day moving-average rule. Its abstract reports that the tested rules beat passive long-only investment in that historical sample and that monthly end-of-month decisions performed better than more frequent decisions. It does not give a single effect-size figure for the outperformance claim, and its finding is specific to the tested index, rules, sample, and assumptions—not a universal result or a present-day forecast. The repository record is available at City Research Online.
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A 2022 CFA Institute article by Horstmeyer, El Boury, and Hardin reports decade-specific average daily returns of 0.16% in the 1970s to 0.29% in the 1980s for a 200-day moving-average long-short portfolio. These are historical figures for that portfolio, not expected returns or results a retail investor could assume they would achieve. The article discusses risk and volatility; a comment on the page clarifies that the figures exclude transaction costs and fees. See CFA Institute’s article.
Backtests depend on the asset, date range, exact rule, decision frequency, and treatment of trading costs. A result from one historical sample can motivate further analysis, but cannot establish that the rule will succeed in a different period or after fees and costs.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How does a 200-day SMA compare with an EMA?
A simple moving average gives equal weight to every price in its window. An exponential moving average (EMA) gives more weight to recent observations, so it reacts faster to recent price changes. That faster response can also mean greater sensitivity to short-term movement. Neither method is universally superior; the useful distinction is how quickly the line responds. Fidelity explains these indicator differences in its technical analysis guide.
Is 200 days the best period, or should signals be checked monthly?
The cited material does not establish that 200 days is universally optimal. The period is a widely used reference, not a one-size-fits-all setting. Signal frequency also matters: in the 2013 S&P 500 study, monthly end-of-month decisions performed better than more frequent decisions among the tested rules. That historical comparison does not show that monthly checks will be better for every asset, strategy, or investor.
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