--- title: "Percent of Stocks Above 20-Day Moving Average: Formula, Meaning & Signals" description: "The percentage of stocks in an index or universe whose latest close is above their own 20-day moving average. It is the shortest of the common..." canonical: https://www.getswoopr.com/indicators/breadth/percent-of-stocks-above-20-day-moving-average/ source: "Swoopr Investment: https://www.getswoopr.com" --- ## Direct Answer > The percentage of stocks in an index or universe whose latest close is above their own 20-day moving average. It is the shortest of the common moving-average breadth gauges and responds quickly to short-term swings. Because it reacts quickly, it swings widely, and very high or very low readings describe short-term stretch in the market. # Percent of Stocks Above 20-Day Moving Average: Formula, Meaning, Signals, Examples and How to Use It ## How Is Percent of Stocks Above 20-Day Moving Average Calculated? The percentage of stocks in an index or universe whose latest close is above their own 20-day moving average. It is the shortest of the common moving-average breadth gauges and responds quickly to short-term swings. **Formula:** `% above 20-day = stocks with close above their 20-day moving average / total stocks x 100` **Inputs:** - Daily closes for every stock in the universe - 20-day moving average for each stock - Constituent list **Worked example.** If 310 of 500 stocks close above their 20-day averages, the reading is 62.0%. The inputs are illustrative numbers, not market data. **Reading it.** Because it reacts quickly, it swings widely, and very high or very low readings describe short-term stretch in the market. Analysts use it for near-term momentum and for how breadth recovers after a decline. **Limits.** It is noisy and can reach extreme readings repeatedly in a trending market. It describes only the last month of price action and says little about long-term trend health. ## What is Percent of Stocks Above 20-Day Moving Average? The percentage of stocks in an index or universe whose latest close is above their own 20-day moving average. It is the shortest of the common moving-average breadth gauges and responds quickly to short-term swings. ## How to use Percent of Stocks Above 20-Day Moving Average Because it reacts quickly, it swings widely, and very high or very low readings describe short-term stretch in the market. Analysts use it for near-term momentum and for how breadth recovers after a decline. A reading alone is never a buy or sell signal; it needs context from price structure, volume, volatility and the broader market regime. ## Strengths - A 20-day average sits close to price, so crossings arrive quickly and the percentage reacts within days of a shift in short-term direction. - Twenty sessions is about one trading month, so the reading maps cleanly to the question of what share of stocks are above their one-month norm. - Reproducible when the formula and data convention are fixed. ## Weaknesses and limitations - A close hugging a short average makes crossings frequent, so many stocks flip sides on routine daily noise and the count churns. - The percentage can sit at its upper bound while the index keeps rising, because it cannot show further improvement once nearly every stock is above its line. - Correlated indicators can create false confidence by repeating the same underlying information. ## Editorial and risk note This page is educational content, not individualized investment advice. It should not imply guaranteed prediction, accuracy or outperformance. ## Frequently Asked Questions Is Percent of Stocks Above 20-Day Moving Average a buy or sell signal? No. Because it reacts quickly, it swings widely, and very high or very low readings describe short-term stretch in the market. It is noisy and can reach extreme readings repeatedly in a trending market. A trade built on it still needs a trigger, an invalidation rule, a position size and realistic execution assumptions. What is the best setting for Percent of Stocks Above 20-Day Moving Average? Percent of Stocks Above 20-Day Moving Average takes these inputs: daily closes for every stock in the universe; 20-day moving average for each stock; constituent list. There is no universal best setting for the tunable ones, so test them across instruments, regimes and out-of-sample periods and favor stable parameter regions over one historical winner. Can Percent of Stocks Above 20-Day Moving Average be used by itself? It is noisy and can reach extreme readings repeatedly in a trending market. It describes only the last month of price action and says little about long-term trend health. For that reason it is read next to measures of direction, participation, valuation, liquidity and risk, not alone. Does Percent of Stocks Above 20-Day Moving Average work on every timeframe? The calculation (% above 20-day = stocks with close above their 20-day moving average / total stocks x 100) can be run on any bar size, but behavior is not portable: a reading on a five-minute chart describes a very different market window from the same reading on a daily chart. Validate the exact timeframe before relying on it. Why does Percent of Stocks Above 20-Day Moving Average give false signals? A close hugging a short average makes crossings frequent, so many stocks flip sides on routine daily noise and the count churns. The percentage can sit at its upper bound while the index keeps rising, because it cannot show further improvement once nearly every stock is above its line. Lag, noise and regime changes add to this, because market participants react to new information after the reading is calculated. How should Percent of Stocks Above 20-Day Moving Average be backtested? Rebuild Percent of Stocks Above 20-Day Moving Average from daily closes for every stock in the universe using point-in-time data, write the rules before testing, include delisted securities where relevant, model realistic fills and costs, reserve a validation sample and compare with a simpler baseline. S Swoopr Editorial Team The Swoopr Editorial Team produces independent investment education, research, and tools for understanding markets, evaluating opportunities, and managing risk. All content is educational only and does not constitute personalized investment advice. 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