--- title: "Percent of Stocks Above 100-Day Moving Average: Formula, Meaning & Signals" description: "The percentage of stocks in an index or universe whose latest close is above their own 100-day moving average. It is an intermediate-term trend breadth..." canonical: https://www.getswoopr.com/indicators/breadth/percent-of-stocks-above-100-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 100-day moving average. It is an intermediate-term trend breadth gauge, between the 50-day and 200-day versions. High values mean most stocks are in an intermediate-term uptrend and low values mean most are not. # Percent of Stocks Above 100-Day Moving Average: Formula, Meaning, Signals, Examples and How to Use It ## How Is Percent of Stocks Above 100-Day Moving Average Calculated? The percentage of stocks in an index or universe whose latest close is above their own 100-day moving average. It is an intermediate-term trend breadth gauge, between the 50-day and 200-day versions. **Formula:** `% above 100-day = stocks with close above their 100-day moving average / total stocks x 100` **Inputs:** - Daily closes for every stock in the universe - 100-day moving average for each stock - Constituent list **Worked example.** If 330 of 500 stocks close above their 100-day averages, the reading is 66.0%. The inputs are illustrative numbers, not market data. **Reading it.** High values mean most stocks are in an intermediate-term uptrend and low values mean most are not. Readings are judged against their own history and by direction of change, since the zones that matter differ by universe. **Limits.** It is a simple above or below test and ignores how far a stock is from its average. The 100-day length is a convention that responds more slowly than the 50-day and more quickly than the 200-day. ## What is Percent of Stocks Above 100-Day Moving Average? The percentage of stocks in an index or universe whose latest close is above their own 100-day moving average. It is an intermediate-term trend breadth gauge, between the 50-day and 200-day versions. ## How to use Percent of Stocks Above 100-Day Moving Average High values mean most stocks are in an intermediate-term uptrend and low values mean most are not. Readings are judged against their own history and by direction of change, since the zones that matter differ by universe. A reading alone is never a buy or sell signal; it needs context from price structure, volume, volatility and the broader market regime. ## Strengths - The 100-day window covers about five months of trading, a horizon between short swings and the long-term 200-day trend. - Each stock is tested against its own average, so the measure is unaffected by price level and every constituent counts equally. - Reproducible when the formula and data convention are fixed. ## Weaknesses and limitations - Stocks without 100 sessions of history must be excluded or handled by a rule, which changes the denominator as new issues list. - An unweighted count lets small and thinly traded stocks decide the reading as much as the index's largest companies. - 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 100-Day Moving Average a buy or sell signal? No. High values mean most stocks are in an intermediate-term uptrend and low values mean most are not. It is a simple above or below test and ignores how far a stock is from its average. 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 100-Day Moving Average? Percent of Stocks Above 100-Day Moving Average takes these inputs: daily closes for every stock in the universe; 100-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 100-Day Moving Average be used by itself? It is a simple above or below test and ignores how far a stock is from its average. The 100-day length is a convention that responds more slowly than the 50-day and more quickly than the 200-day. For that reason it is read next to measures of direction, participation, valuation, liquidity and risk, not alone. Does Percent of Stocks Above 100-Day Moving Average work on every timeframe? The calculation (% above 100-day = stocks with close above their 100-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 100-Day Moving Average give false signals? Stocks without 100 sessions of history must be excluded or handled by a rule, which changes the denominator as new issues list. An unweighted count lets small and thinly traded stocks decide the reading as much as the index's largest companies. 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 100-Day Moving Average be backtested? Rebuild Percent of Stocks Above 100-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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