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Calculated Shard: 148 (from laksa033)

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curl -X POST \
  'http://laksa148.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.investopedia.com/articles/active-trading/052014/how-use-moving-average-buy-stocks.asp\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.investopedia.com/articles/active-trading/052014/how-use-moving-average-buy-stocks.asp\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp","crawl_time":1776364223,"first_indexed_time":1510505270,"http_code":200,"src_unparsed":"com,investopedia!www,\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp s443","src_root_hash":"7273739457760125548","history_drop_reason":null,"meta_title":"Master Moving Averages: A Guide to Smarter Stock Investments","meta_descriptions":["Discover how moving averages reveal stock trends and signals. Enhance your trading strategy with simple and exponential moving averages for smarter investments."],"attrs_boilerpipe_text":"Key Takeaways\nMoving averages help identify market trends by smoothing price data.\nSimple and exponential moving averages are common types.\nMoving averages can signal support and resistance levels.\nStrategies include using price and dual moving average crossovers.\nCombining with other indicators can strengthen trading signals.\nGet personalized, AI-powered answers built on 27+ years of trusted expertise.\nOne of the primary objectives of any market analyst is to determine what exactly the market is\ndoing\n. Is it rising or falling, trending or consolidating? And how do you know? For most, that analysis begins with moving averages. In fact, a commonly accepted definition of a bull market is one that is trading above its 200-day moving average—and the inverse is true for a bear market.\nMoving averages are a staple of\ntechnical analysis\nbecause they help traders determine what is happening in the market by smoothing out price data and filtering out short-term volatility. Traders use them to determine if a market is trending and, if it is trending, as dynamic\nsupport and resistance\nlevels.\nMany traders also use moving averages as the basis of a trend-following trading system, with a shorter-term moving average crossing over a longer-term average taken as an entry signal.\nUnderstanding Moving Averages\nDefinition and Purpose\nA moving average smooths out price fluctuations by averaging prices over a set period, reducing noise and helping traders determine whether a market is trending or not. They are \"moving\" because they're constantly being recalculated with the latest price data. They also frequently serve as support and resistance in trending markets. Additionally, traders watch for crossovers as signals of a shift in trend.\nTypes of Moving Averages\nThe most common moving averages are:\nSimple moving average (SMA)\nExponential moving average (EMA)\nWeighted moving average (WMA)\nSmoothed moving average (SMMA)\nSimple Moving Average (SMA)\nThe SMA represents the average closing prices of the previous\nn\nperiods. It appears as a smoothed line that shows the average price movement over time. Old data is dropped as new data is added, creating a moving average. Most moving averages are based on closing prices, so only one data point is needed per day. For example, for a 10-day SMA, you would take the closing price of each of the e last 10 days and divide by 10. The calculation is repeated each day, with the oldest date dropping off as a new day is added, creating an average that \"moves.\"\nWith the SMA, all the data points within the period are equally weighted. The SMA is a lagging indicator that reacts relatively slowly to price changes.\nExponential Moving Average (EMA)\nThe EMA is a weighted moving average that prioritizes recent price data. This means it reacts more quickly to price changes than the SMA, thereby helping to reduce the lag.\nThere are three steps to calculating the EMA:\nFirst, calculate the SMA average. This is used for the initial EMA value.\nSecond, determine and calculate the weighting multiplier.\nThird, calculate the EMA for each day.\nCalculation:\nInitial SMA: 10 period\nMultiplier: (2\/ (Time periods + 1) ) = (2\/(10+1) ) = 0.1818 or 18.18%\nEMA: (Close - EMA (of the previous day) x multiplier + EMA (of the previous day).\nThe EMA helps traders respond more quickly to price changes as it captures momentum shifts sooner than the SMA. However, that means it also generates more false signals in choppy markets.\nWeighted Moving Average (WMA)\nAs with the EMA, the WMA assigns greater importance to recent price data. However, unlike the EMA, the weights of the values are adjusted linearly rather than exponentially.\nThe characteristics of the WMA are very similar to those of the EMA. But the difference occurs in their calculations. WMAs smooth out price data linearly and are not as dynamic as EMAs.\nSmoothed Moving Average\nThis Smoothed Moving Average is a variation of the SMA and the EMA with a greater smoothing effect. By incorporating more past data into its calculation, it reduces price fluctuations and market noise more effectively than the SMA and EMA.\nThe Smoothed Moving Average includes more data than the WMA, EMA, and SMA and filters out a lot of noise. However, this also makes it much slower to react to price movements.\nMoving Averages.\nTradingview\nUnderstanding Moving Averages in Stock Trading\nTrend Identification\nMoving averages are ideal for identifying market trends. For this reason, they are used by virtually every market analyst and are generally the first indicator to go on any price chart.\nA rising moving average indicates an uptrend, with momentum favoring buyers as long as price remains above that moving average. A falling moving average indicates a downtrend. If a moving average is flat, the market is likely consolidating, meaning trend-following strategies will be ineffective.\nSupport and Resistance Levels\nMAs can also act as dynamic support and resistance levels when markets are trending. In an uptrend they can serve as support, with price frequently bouncing off the major moving averages, creating opportunities for traders. Similarly, in a downtrend, MAs can be used as resistance levels, preventing breakouts and signaling selling pressure.\nAt least part of the reason moving averages consistently provide support and resistance is because traders expect them to, creating a self-fulfilling prophecy. In other words, if everyone thinks price will reverse at a certain level, it probably will because traders will look to enter (or exit) at that level.\nAlso, depending on the strength of the trend and the time frame of the moving average (20-, 50- or 200-period), price will often behave differently around different moving averages. At the 20-day, for example, it might find support or resistance and reverse quickly, resuming its previous trend. But at the 50-day or 200-day, it's more likely to consolidate for some time before continuing with the longer-term trend.\nEffective Strategies for Using Moving Averages\nWhen it comes to executing a trading system, as opposed to just getting a read on a market, moving averages are most useful with trend-following or as support or resistance in counter-trend pullbacks.\nPrice Crossovers\nPrice crossing over a moving average could provide a signal in itself, one of a trend reversal or continuation. A bullish crossover occurs when the price moves above a moving average, signaling potential upside momentum. A bearish crossover happens when the price drops below a moving average, indicating a possible downtrend.\nFor example, following a pullback in a trending market, an asset again rises above its 20-day EMA. That can be considered a bullish signal, indicating potential upside momentum to follow. A stop-loss order just below the 20-day will help manage risk.\nTraders also often use price crossovers as a filter. For example, from a technical standpoint, it would be unwise to short an asset that is rising above a steadily rising 20-day SMA and vice versa.\nMA Price Crossover.\nTradingview\nMoving Average Crossovers\nThe dual moving average strategy involves a short-term MA crossing a longer-term MA. For some traders, this alone can serve as a buy or sell signal, indicating the start or end of a trend.\nWhen the short-term average moves above the long-term average—say, the 50-SMA crosses above the 200-SMA—it's called a \ngolden cross\n and signals the start of a possible uptrend. Conversely, a\ndeath cross\nhappens when the 50-SMA crosses below the 200-SMA, indicating a downtrend.\nTraders use dual crossovers across virtually every asset class, adjusting the moving averages' periods to fit their strategy and market. This method is effective for trend following but can also frequently produce false signals and whipsaws. The key to profitability is position sizing and making sure the winners are far bigger than the losers. Generally, traders risk 1% to 2% of capital per trade and set minimum risk-reward ratios.\nSMA Dual Crossover.\nTradingview\nPros and Cons of Using Moving Averages\nPros\nTrend Identification\nDynamic Support and Resistance Levels\nHelps Reduce Market Noise\nTrade Signal Generation\nWorks Across Different Timeframes and Markets\nCan be Used with Other Indicators\nCons\nLagging Indicator\nIneffective in Sideways or Choppy Markets\nFalse Signals and Whipsaws\nLacks Predictability\nImproving Your Moving Average Techniques\nCombining with Other Indicators\nCombining MAs with other indicators enhances accuracy by filtering out false signals. It also helps with trend confirmation. Moreover, volume analysis strengthens MA crossovers as high volume supports bullish or bearish moves, while low volume may indicate a false breakout.\nThe\nMoving Average Convergence Divergence (MACD)\nhelps confirm momentum shifts, while the\nRelative Strength Index (RSI)\nensures MAs are signaling trades when there is negative or positive divergence.\nBollinger Bands\nvalidate breakouts, helping traders avoid weak signals in sideways markets.\nAverage True Range (ATR)\nadjusts MA sensitivity based on volatility, ensuring traders use shorter MAs in quiet markets and longer MAs in volatile conditions.\nThe Bottom Line\nMoving averages are quite useful in recognizing the state of the market. However, their effectiveness as trading signals depends on market conditions and risk management. Traders adjust the types of moving averages they use and the number of periods based on their trading strategy and frequently combine them with other indicators such as the MACD, RSI, and Bollinger Bands.\nFinally, as MAs tend to lag in choppy markets, combining them with risk management tools like stop-losses and position sizing helps ensure better decision-making.","attrs_markdown":"\n\n[Skip to content](https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp#main)\n\n[Investopedia](https:\/\/www.investopedia.com\/)\n\n[Live](https:\/\/www.investopedia.com\/stock-market-today-dow-jones-s-and-p-500-04162026-11951125)\n\n- Please fill out this field.\n- [Newsletters](https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp)\n\nPlease fill out this field.\n\n- [News](https:\/\/www.investopedia.com\/news-4427706)\n  News\n  \n  - [Markets](https:\/\/www.investopedia.com\/markets-news-4427704)\n  - 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[Best Crypto Exchanges](https:\/\/www.investopedia.com\/best-crypto-exchanges-5071855)\n  - [Best Savings Rates](https:\/\/www.investopedia.com\/high-yield-savings-accounts-4770633)\n  - [Best CD Rates](https:\/\/www.investopedia.com\/best-cd-rates-4770214)\n  - [Best Life Insurance](https:\/\/www.investopedia.com\/the-best-life-insurance-companies-8763666)\n  - [Best Mortgage Rates](https:\/\/www.investopedia.com\/mortgage-rates-5094943)\n  - [Best Robo-Advisors](https:\/\/www.investopedia.com\/the-best-robo-advisors-8764849)\n  - [Best Personal Loans](https:\/\/www.investopedia.com\/the-best-personal-loans-8761582)\n  - [Best Debt Relief Companies](https:\/\/www.investopedia.com\/the-best-debt-relief-companies-8763179)\n  - [View All](https:\/\/www.investopedia.com\/financial-product-reviews-7110783)\n\nTable of Contents\n\nExpand\n\nTable of Contents\n\n- [Understanding Moving Averages](https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp#toc-understanding-moving-averages)\n- [Moving Averages in Stock Trading](https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp#toc-understanding-moving-averages-in-stock-trading)\n- [Effective Strategies](https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp#toc-effective-strategies-for-using-moving-averages)\n- [Pros and Cons](https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp#toc-pros-and-cons-of-using-moving-averages)\n- [Improving Your MA Techniques](https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp#toc-improving-your-moving-average-techniques)\n- [The Bottom Line](https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp#toc-the-bottom-line)\n\n# Master Moving Averages: A Guide to Smarter Stock Investments\nBy\n\n[Cedric Thompson](https:\/\/www.investopedia.com\/cedric-thompson-6891417)\n\n![Profile Picture]()\n\n![Profile Picture](https:\/\/www.investopedia.com\/thmb\/5vICauAiCyxNeYM1qelhLOx7NrE=\/200x200\/filters:no_upscale\\(\\):max_bytes\\(150000\\):strip_icc\\(\\)\/WhatsAppImage2023-01-27at15.28.11-ab485076e611401ca7e1b390ba1e3b3e.jpeg)\n\n[Full Bio](https:\/\/www.investopedia.com\/cedric-thompson-6891417)\n\nCedric Thompson is a pioneer of Technical Analysis in the English-speaking Caribbean and an Investment Management Strategist at the Trinidad and Tobago Unit Trust Corporation\n\nLearn about our  [editorial policies](https:\/\/www.investopedia.com\/legal-4768893#editorial-policy)\n\nUpdated March 08, 2026\n\nFact checked by\n\n[Stella Osoba](https:\/\/www.investopedia.com\/contributors\/53997\/)\n\n![Stella Osoba headshot black and white]()\n\n![Stella Osoba headshot black and white](https:\/\/www.investopedia.com\/thmb\/vqnzEP_DE9hjf5qZuxApjZkHgWs=\/200x200\/filters:no_upscale\\(\\):max_bytes\\(150000\\):strip_icc\\(\\)\/Stella-Osoba_BW-WebReady-dd802700bcf54516a75b8c740dec302f.jpg)\n\nFact checked by Stella Osoba\n\n[Full Bio](https:\/\/www.investopedia.com\/contributors\/53997\/)\n\nStella Osoba is the Senior Editor of trading and investing at Investopedia. She co-founded and chaired Women in Technical Analysis. She has 15+ years of experience as a financial writer and technical analyst.\n\nLearn about our  [editorial policies](https:\/\/www.investopedia.com\/legal-4768893#editorial-policy)\n\nPart of the Series\n\nGuide to Technical Analysis\n\n[Technical Analysis of Stocks and Trends Definition](https:\/\/www.investopedia.com\/terms\/t\/technical-analysis-of-stocks-and-trends.asp)\n\nKey Technical Analysis Concepts\n\n1. [Dow Theory](https:\/\/www.investopedia.com\/terms\/d\/dowtheory.asp)\n2. [Support and Resistance Basics](https:\/\/www.investopedia.com\/trading\/support-and-resistance-basics\/)\n3. [Support (Support Level)](https:\/\/www.investopedia.com\/terms\/s\/support.asp)\n4. [Resistance (Resistance Level)](https:\/\/www.investopedia.com\/terms\/r\/resistance.asp)\n5. [Pullback](https:\/\/www.investopedia.com\/terms\/p\/pullback.asp)\n6. [Overbought](https:\/\/www.investopedia.com\/terms\/o\/overbought.asp)\n7. [Relative Strength](https:\/\/www.investopedia.com\/terms\/r\/relativestrength.asp)\n8. [Candlestick](https:\/\/www.investopedia.com\/terms\/c\/candlestick.asp)\n9. [Volume](https:\/\/www.investopedia.com\/terms\/v\/volume.asp)\n10. [Gap](https:\/\/www.investopedia.com\/terms\/g\/gap.asp)\n\nGetting Started with Technical Analysis\n\n1. [Best Ways To Learn Technical Analysis](https:\/\/www.investopedia.com\/trading\/best-ways-learn-technical-analysis\/)\n2. [Top 7 Books to Learn Technical Analysis](https:\/\/www.investopedia.com\/articles\/personal-finance\/090916\/top-5-books-learn-technical-analysis.asp)\n3. [The Best Technical Analysis Trading Software](https:\/\/www.investopedia.com\/articles\/active-trading\/121014\/best-technical-analysis-trading-software.asp)\n\nEssential Technical Analysis Strategies\n\n1. [Technical Analysis Strategies for Beginners](https:\/\/www.investopedia.com\/articles\/active-trading\/102914\/technical-analysis-strategies-beginners.asp)\n2. [How to Use a Moving Average to Buy Stocks](https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp)\n   CURRENT ARTICLE\n3. [How to Use Volume to Improve Your Trading](https:\/\/www.investopedia.com\/articles\/technical\/02\/010702.asp)\n4. [The Anatomy of Trading Breakouts](https:\/\/www.investopedia.com\/articles\/trading\/08\/trading-breakouts.asp)\n5. [Market Reversals and How to Spot Them](https:\/\/www.investopedia.com\/investing\/market-reversals-and-how-spot-them\/)\n\nTechnical Analysis Patterns\n\n1. [Introduction to Technical Analysis Price Patterns](https:\/\/www.investopedia.com\/articles\/technical\/112601.asp)\n2. [5 Most Powerful Candlestick Patterns](https:\/\/www.investopedia.com\/articles\/active-trading\/092315\/5-most-powerful-candlestick-patterns.asp)\n3. [Continuation Pattern](https:\/\/www.investopedia.com\/terms\/c\/continuationpattern.asp)\n4. [Trendline](https:\/\/www.investopedia.com\/terms\/t\/trendline.asp)\n5. [Price Channel](https:\/\/www.investopedia.com\/terms\/p\/price-channel.asp)\n6. [Channeling: Charting a Path to Success](https:\/\/www.investopedia.com\/trading\/channeling-charting-path-to-success\/)\n7. [Playing the Gap](https:\/\/www.investopedia.com\/articles\/trading\/05\/playinggaps.asp)\n8. [Double Tops and Bottoms](https:\/\/www.investopedia.com\/terms\/d\/double-top-and-bottom.asp)\n9. [Triple Tops and Bottoms](https:\/\/www.investopedia.com\/articles\/technical\/02\/012102.asp)\n10. [Head And Shoulders Pattern](https:\/\/www.investopedia.com\/terms\/h\/head-shoulders.asp)\n11. [How to Trade the Head and Shoulders Pattern](https:\/\/www.investopedia.com\/articles\/technical\/121201.asp)\n12. [Flag](https:\/\/www.investopedia.com\/terms\/f\/flag.asp)\n13. [Pennant](https:\/\/www.investopedia.com\/terms\/p\/pennant.asp)\n14. [Triangle](https:\/\/www.investopedia.com\/terms\/t\/triangle.asp)\n15. [Wedge](https:\/\/www.investopedia.com\/terms\/w\/wedge.asp)\n16. [Cup and Handle Pattern](https:\/\/www.investopedia.com\/terms\/c\/cupandhandle.asp)\n17. [Trading Fibonacci Retracements](https:\/\/www.investopedia.com\/articles\/active-trading\/091114\/strategies-trading-fibonacci-retracements.asp)\n18. [Elliott Wave Theory](https:\/\/www.investopedia.com\/terms\/e\/elliottwavetheory.asp)\n19. [Trader's Guide to Using Fractals](https:\/\/www.investopedia.com\/articles\/trading\/06\/fractals.asp)\n\nTechnical Analysis Indicators\n\n1. [Technical Indicator Definition](https:\/\/www.investopedia.com\/terms\/t\/technicalindicator.asp)\n2. [Moving Average (MA)](https:\/\/www.investopedia.com\/terms\/m\/movingaverage.asp)\n3. [Crossover](https:\/\/www.investopedia.com\/terms\/c\/crossover.asp)\n4. [Golden Cross vs. Death Cross](https:\/\/www.investopedia.com\/ask\/answers\/121114\/what-difference-between-golden-cross-and-death-cross-pattern.asp)\n5. [Bollinger Band®](https:\/\/www.investopedia.com\/terms\/b\/bollingerbands.asp)\n6. [Oscillator](https:\/\/www.investopedia.com\/terms\/o\/oscillator.asp)\n7. [Moving Average Convergence Divergence (MACD)](https:\/\/www.investopedia.com\/terms\/m\/macd.asp)\n8. [Relative Strength Index (RSI)](https:\/\/www.investopedia.com\/terms\/r\/rsi.asp)\n9. [Stochastic Oscillator](https:\/\/www.investopedia.com\/terms\/s\/stochasticoscillator.asp)\n10. [Rate Of Change](https:\/\/www.investopedia.com\/terms\/p\/pricerateofchange.asp)\n11. [Money Flow Index (MFI)](https:\/\/www.investopedia.com\/terms\/m\/mfi.asp)\n12. [Divergence](https:\/\/www.investopedia.com\/terms\/d\/divergence.asp)\n\n### Key Takeaways\n- Moving averages help identify market trends by smoothing price data.\n- Simple and exponential moving averages are common types.\n- Moving averages can signal support and resistance levels.\n- Strategies include using price and dual moving average crossovers.\n- Combining with other indicators can strengthen trading signals.\n\nGet personalized, AI-powered answers built on 27+ years of trusted expertise.\n\nASK\n\nOne of the primary objectives of any market analyst is to determine what exactly the market is *doing*. Is it rising or falling, trending or consolidating? And how do you know? For most, that analysis begins with moving averages. In fact, a commonly accepted definition of a bull market is one that is trading above its 200-day moving average—and the inverse is true for a bear market.\n\nMoving averages are a staple of [technical analysis](https:\/\/www.investopedia.com\/terms\/t\/technicalanalysis.asp) because they help traders determine what is happening in the market by smoothing out price data and filtering out short-term volatility. Traders use them to determine if a market is trending and, if it is trending, as dynamic [support and resistance](https:\/\/www.investopedia.com\/trading\/support-and-resistance-basics\/) levels.\n\nMany traders also use moving averages as the basis of a trend-following trading system, with a shorter-term moving average crossing over a longer-term average taken as an entry signal.\n\n## Understanding Moving Averages\n### Definition and Purpose\nA moving average smooths out price fluctuations by averaging prices over a set period, reducing noise and helping traders determine whether a market is trending or not. They are \"moving\" because they're constantly being recalculated with the latest price data. They also frequently serve as support and resistance in trending markets. Additionally, traders watch for crossovers as signals of a shift in trend.\n\n### Types of Moving Averages\nThe most common moving averages are:\n\n- Simple moving average (SMA)\n- Exponential moving average (EMA)\n- Weighted moving average (WMA)\n- Smoothed moving average (SMMA)\n\n**Simple Moving Average (SMA)**\n\nThe SMA represents the average closing prices of the previous *n* periods. It appears as a smoothed line that shows the average price movement over time. Old data is dropped as new data is added, creating a moving average. Most moving averages are based on closing prices, so only one data point is needed per day. For example, for a 10-day SMA, you would take the closing price of each of the e last 10 days and divide by 10. The calculation is repeated each day, with the oldest date dropping off as a new day is added, creating an average that \"moves.\"\n\nWith the SMA, all the data points within the period are equally weighted. The SMA is a lagging indicator that reacts relatively slowly to price changes.\n\n**Exponential Moving Average (EMA)**\n\nThe EMA is a weighted moving average that prioritizes recent price data. This means it reacts more quickly to price changes than the SMA, thereby helping to reduce the lag.\n\nThere are three steps to calculating the EMA:\n\nFirst, calculate the SMA average. This is used for the initial EMA value.\n\nSecond, determine and calculate the weighting multiplier.\n\nThird, calculate the EMA for each day.\n\nCalculation:\n\nInitial SMA: 10 period\n\nMultiplier: (2\/ (Time periods + 1) ) = (2\/(10+1) ) = 0.1818 or 18.18%\n\nEMA: (Close - EMA (of the previous day) x multiplier + EMA (of the previous day).\n\nThe EMA helps traders respond more quickly to price changes as it captures momentum shifts sooner than the SMA. However, that means it also generates more false signals in choppy markets.\n\n**Weighted Moving Average (WMA)**\n\nAs with the EMA, the WMA assigns greater importance to recent price data. However, unlike the EMA, the weights of the values are adjusted linearly rather than exponentially.\n\nThe characteristics of the WMA are very similar to those of the EMA. But the difference occurs in their calculations. WMAs smooth out price data linearly and are not as dynamic as EMAs.\n\n**Smoothed Moving Average**\n\nThis Smoothed Moving Average is a variation of the SMA and the EMA with a greater smoothing effect. By incorporating more past data into its calculation, it reduces price fluctuations and market noise more effectively than the SMA and EMA.\n\nThe Smoothed Moving Average includes more data than the WMA, EMA, and SMA and filters out a lot of noise. However, this also makes it much slower to react to price movements.\n\n![Moving Averages ]()\n\n![Moving Averages ](https:\/\/www.investopedia.com\/thmb\/FORhWxTpiUKTT9W7Uf2X4Txt0xQ=\/1500x0\/filters:no_upscale\\(\\):max_bytes\\(150000\\):strip_icc\\(\\)\/MA_1-1914df37edc64885aaf6c75d548e3e55.jpg)\n\nMoving Averages.\n\nTradingview\n## Understanding Moving Averages in Stock Trading\n### Trend Identification\nMoving averages are ideal for identifying market trends. For this reason, they are used by virtually every market analyst and are generally the first indicator to go on any price chart.\n\nA rising moving average indicates an uptrend, with momentum favoring buyers as long as price remains above that moving average. A falling moving average indicates a downtrend. If a moving average is flat, the market is likely consolidating, meaning trend-following strategies will be ineffective.\n\n### Support and Resistance Levels\nMAs can also act as dynamic support and resistance levels when markets are trending. In an uptrend they can serve as support, with price frequently bouncing off the major moving averages, creating opportunities for traders. Similarly, in a downtrend, MAs can be used as resistance levels, preventing breakouts and signaling selling pressure.\n\nAt least part of the reason moving averages consistently provide support and resistance is because traders expect them to, creating a self-fulfilling prophecy. In other words, if everyone thinks price will reverse at a certain level, it probably will because traders will look to enter (or exit) at that level.\n\nAlso, depending on the strength of the trend and the time frame of the moving average (20-, 50- or 200-period), price will often behave differently around different moving averages. At the 20-day, for example, it might find support or resistance and reverse quickly, resuming its previous trend. But at the 50-day or 200-day, it's more likely to consolidate for some time before continuing with the longer-term trend.\n\n## Effective Strategies for Using Moving Averages\nWhen it comes to executing a trading system, as opposed to just getting a read on a market, moving averages are most useful with trend-following or as support or resistance in counter-trend pullbacks.\n\n### Price Crossovers\nPrice crossing over a moving average could provide a signal in itself, one of a trend reversal or continuation. A bullish crossover occurs when the price moves above a moving average, signaling potential upside momentum. A bearish crossover happens when the price drops below a moving average, indicating a possible downtrend.\n\nFor example, following a pullback in a trending market, an asset again rises above its 20-day EMA. That can be considered a bullish signal, indicating potential upside momentum to follow. A stop-loss order just below the 20-day will help manage risk.\n\nTraders also often use price crossovers as a filter. For example, from a technical standpoint, it would be unwise to short an asset that is rising above a steadily rising 20-day SMA and vice versa.\n\n![MA Price Crossover]()\n\n![MA Price Crossover](https:\/\/www.investopedia.com\/thmb\/nb3oBvMlAMp0lxfki11sgviTrck=\/1500x0\/filters:no_upscale\\(\\):max_bytes\\(150000\\):strip_icc\\(\\)\/MA_2-914e5a3db5da45e08d019f4bb9d01eee.jpg)\n\nMA Price Crossover.\n\nTradingview\n### Moving Average Crossovers\nThe dual moving average strategy involves a short-term MA crossing a longer-term MA. For some traders, this alone can serve as a buy or sell signal, indicating the start or end of a trend.\n\nWhen the short-term average moves above the long-term average—say, the 50-SMA crosses above the 200-SMA—it's called a [golden cross](https:\/\/www.investopedia.com\/terms\/g\/goldencross.asp) and signals the start of a possible uptrend. Conversely, a [death cross](https:\/\/www.investopedia.com\/terms\/d\/deathcross.asp) happens when the 50-SMA crosses below the 200-SMA, indicating a downtrend.\n\nTraders use dual crossovers across virtually every asset class, adjusting the moving averages' periods to fit their strategy and market. This method is effective for trend following but can also frequently produce false signals and whipsaws. The key to profitability is position sizing and making sure the winners are far bigger than the losers. Generally, traders risk 1% to 2% of capital per trade and set minimum risk-reward ratios.\n\n![SMA Dual Crossover]()\n\n![SMA Dual Crossover](https:\/\/www.investopedia.com\/thmb\/KAfF_ySpOypqDqfbD43_xubO3XY=\/1500x0\/filters:no_upscale\\(\\):max_bytes\\(150000\\):strip_icc\\(\\)\/MA_3-e0bd3c16bd2c42ea99565737ea4879fe.jpg)\n\nSMA Dual Crossover.\n\nTradingview\n## Pros and Cons of Using Moving Averages\nPros\n\n- Trend Identification\n- Dynamic Support and Resistance Levels\n- Helps Reduce Market Noise\n- Trade Signal Generation\n- Works Across Different Timeframes and Markets\n- Can be Used with Other Indicators\n\nCons\n\n- Lagging Indicator\n- Ineffective in Sideways or Choppy Markets\n- False Signals and Whipsaws\n- Lacks Predictability\n## Improving Your Moving Average Techniques\n### Combining with Other Indicators\nCombining MAs with other indicators enhances accuracy by filtering out false signals. It also helps with trend confirmation. Moreover, volume analysis strengthens MA crossovers as high volume supports bullish or bearish moves, while low volume may indicate a false breakout.\n\nThe [Moving Average Convergence Divergence (MACD)](https:\/\/www.investopedia.com\/terms\/m\/macd.asp) helps confirm momentum shifts, while the [Relative Strength Index (RSI)](https:\/\/www.investopedia.com\/terms\/r\/rsi.asp) ensures MAs are signaling trades when there is negative or positive divergence. [Bollinger Bands](https:\/\/www.investopedia.com\/terms\/b\/bollingerbands.asp) validate breakouts, helping traders avoid weak signals in sideways markets. [Average True Range (ATR)](https:\/\/www.investopedia.com\/terms\/a\/atr.asp) adjusts MA sensitivity based on volatility, ensuring traders use shorter MAs in quiet markets and longer MAs in volatile conditions.\n\n## The Bottom Line\nMoving averages are quite useful in recognizing the state of the market. However, their effectiveness as trading signals depends on market conditions and risk management. Traders adjust the types of moving averages they use and the number of periods based on their trading strategy and frequently combine them with other indicators such as the MACD, RSI, and Bollinger Bands.\n\nFinally, as MAs tend to lag in choppy markets, combining them with risk management tools like stop-losses and position sizing helps ensure better decision-making.\n\nGet personalized, AI-powered answers built on 27+ years of trusted expertise.\n\nASK\n\nArticle Sources\n\nInvestopedia requires writers to use primary sources to support their work. These include white papers, government data, original reporting, and interviews with industry experts. We also reference original research from other reputable publishers where appropriate. You can learn more about the standards we follow in producing accurate, unbiased content in our [editorial policy.](https:\/\/www.investopedia.com\/legal-4768893#EditorialPolicy)\n\n1. FXOpen, \"[Simple, Weighted, and Exponential Moving Averages: The Differences](https:\/\/fxopen.com\/blog\/en\/what-is-the-difference-between-simple-weighted-and-exponential-moving-averages\/)\"\n2. OANDA, Trade Tap Blog, \"[Understanding moving averages: types, benefits & trading strategies](https:\/\/www.oanda.com\/us-en\/trade-tap-blog\/trading-knowledge\/identify-trends-with-moving-averages\/)\"\n3. CME Group, \"[Support and Resistance](https:\/\/www.cmegroup.com\/education\/courses\/technical-analysis\/support-and-resistance.html)\"\n4. Charles Schwab, \"[Understanding Simple Moving Average Crossovers](https:\/\/www.schwab.com\/learn\/story\/understanding-simple-moving-average-crossovers)\"\n5. Trade Nation, \"[Risk management in trading](https:\/\/tradenation.com\/en-gb\/articles\/risk-management\/)\"\n6. CMC Markets, \"[Death cross and golden cross strategies](https:\/\/www.cmcmarkets.com\/en-gb\/trading-guides\/golden-cross-death-cross)\"\n7. Tradeciety, \"[How to Combine the Best Indicators and Avoid Wrong Signals](https:\/\/tradeciety.com\/how-to-choose-the-best-indicators-for-your-trading)\"\n\nCompare Accounts\n\nAdvertiser Disclosure\n\n×\n\nThe offers that appear in this table are from partnerships from which Investopedia receives compensation. This compensation may impact how and where listings appear. Investopedia does not include all offers available in the marketplace.\n\nPart of the Series\n\nGuide to Technical Analysis\n\n[Technical Analysis of Stocks and Trends Definition](https:\/\/www.investopedia.com\/terms\/t\/technical-analysis-of-stocks-and-trends.asp)\n\nKey Technical Analysis Concepts\n\n1. [Dow Theory](https:\/\/www.investopedia.com\/terms\/d\/dowtheory.asp)\n2. [Support and Resistance Basics](https:\/\/www.investopedia.com\/trading\/support-and-resistance-basics\/)\n3. [Support (Support Level)](https:\/\/www.investopedia.com\/terms\/s\/support.asp)\n4. [Resistance (Resistance Level)](https:\/\/www.investopedia.com\/terms\/r\/resistance.asp)\n5. [Pullback](https:\/\/www.investopedia.com\/terms\/p\/pullback.asp)\n6. [Overbought](https:\/\/www.investopedia.com\/terms\/o\/overbought.asp)\n7. [Relative Strength](https:\/\/www.investopedia.com\/terms\/r\/relativestrength.asp)\n8. [Candlestick](https:\/\/www.investopedia.com\/terms\/c\/candlestick.asp)\n9. [Volume](https:\/\/www.investopedia.com\/terms\/v\/volume.asp)\n10. [Gap](https:\/\/www.investopedia.com\/terms\/g\/gap.asp)\n\nGetting Started with Technical Analysis\n\n1. [Best Ways To Learn Technical Analysis](https:\/\/www.investopedia.com\/trading\/best-ways-learn-technical-analysis\/)\n2. [Top 7 Books to Learn Technical Analysis](https:\/\/www.investopedia.com\/articles\/personal-finance\/090916\/top-5-books-learn-technical-analysis.asp)\n3. [The Best Technical Analysis Trading Software](https:\/\/www.investopedia.com\/articles\/active-trading\/121014\/best-technical-analysis-trading-software.asp)\n\nEssential Technical Analysis Strategies\n\n1. [Technical Analysis Strategies for Beginners](https:\/\/www.investopedia.com\/articles\/active-trading\/102914\/technical-analysis-strategies-beginners.asp)\n2. [How to Use a Moving Average to Buy Stocks](https:\/\/www.investopedia.com\/articles\/active-trading\/052014\/how-use-moving-average-buy-stocks.asp)\n   CURRENT ARTICLE\n3. [How to Use Volume to Improve Your Trading](https:\/\/www.investopedia.com\/articles\/technical\/02\/010702.asp)\n4. [The Anatomy of Trading Breakouts](https:\/\/www.investopedia.com\/articles\/trading\/08\/trading-breakouts.asp)\n5. [Market Reversals and How to Spot Them](https:\/\/www.investopedia.com\/investing\/market-reversals-and-how-spot-them\/)\n\nTechnical Analysis Patterns\n\n1. [Introduction to Technical Analysis Price Patterns](https:\/\/www.investopedia.com\/articles\/technical\/112601.asp)\n2. [5 Most Powerful Candlestick Patterns](https:\/\/www.investopedia.com\/articles\/active-trading\/092315\/5-most-powerful-candlestick-patterns.asp)\n3. [Continuation Pattern](https:\/\/www.investopedia.com\/terms\/c\/continuationpattern.asp)\n4. [Trendline](https:\/\/www.investopedia.com\/terms\/t\/trendline.asp)\n5. [Price Channel](https:\/\/www.investopedia.com\/terms\/p\/price-channel.asp)\n6. [Channeling: Charting a Path to Success](https:\/\/www.investopedia.com\/trading\/channeling-charting-path-to-success\/)\n7. [Playing the Gap](https:\/\/www.investopedia.com\/articles\/trading\/05\/playinggaps.asp)\n8. [Double Tops and Bottoms](https:\/\/www.investopedia.com\/terms\/d\/double-top-and-bottom.asp)\n9. [Triple Tops and Bottoms](https:\/\/www.investopedia.com\/articles\/technical\/02\/012102.asp)\n10. [Head And Shoulders Pattern](https:\/\/www.investopedia.com\/terms\/h\/head-shoulders.asp)\n11. [How to Trade the Head and Shoulders Pattern](https:\/\/www.investopedia.com\/articles\/technical\/121201.asp)\n12. [Flag](https:\/\/www.investopedia.com\/terms\/f\/flag.asp)\n13. [Pennant](https:\/\/www.investopedia.com\/terms\/p\/pennant.asp)\n14. [Triangle](https:\/\/www.investopedia.com\/terms\/t\/triangle.asp)\n15. [Wedge](https:\/\/www.investopedia.com\/terms\/w\/wedge.asp)\n16. [Cup and Handle Pattern](https:\/\/www.investopedia.com\/terms\/c\/cupandhandle.asp)\n17. [Trading Fibonacci Retracements](https:\/\/www.investopedia.com\/articles\/active-trading\/091114\/strategies-trading-fibonacci-retracements.asp)\n18. [Elliott Wave Theory](https:\/\/www.investopedia.com\/terms\/e\/elliottwavetheory.asp)\n19. [Trader's Guide to Using Fractals](https:\/\/www.investopedia.com\/articles\/trading\/06\/fractals.asp)\n\nTechnical Analysis Indicators\n\n1. [Technical Indicator Definition](https:\/\/www.investopedia.com\/terms\/t\/technicalindicator.asp)\n2. [Moving Average (MA)](https:\/\/www.investopedia.com\/terms\/m\/movingaverage.asp)\n3. [Crossover](https:\/\/www.investopedia.com\/terms\/c\/crossover.asp)\n4. [Golden Cross vs. Death Cross](https:\/\/www.investopedia.com\/ask\/answers\/121114\/what-difference-between-golden-cross-and-death-cross-pattern.asp)\n5. [Bollinger Band®](https:\/\/www.investopedia.com\/terms\/b\/bollingerbands.asp)\n6. [Oscillator](https:\/\/www.investopedia.com\/terms\/o\/oscillator.asp)\n7. [Moving Average Convergence Divergence (MACD)](https:\/\/www.investopedia.com\/terms\/m\/macd.asp)\n8. [Relative Strength Index (RSI)](https:\/\/www.investopedia.com\/terms\/r\/rsi.asp)\n9. [Stochastic Oscillator](https:\/\/www.investopedia.com\/terms\/s\/stochasticoscillator.asp)\n10. [Rate Of Change](https:\/\/www.investopedia.com\/terms\/p\/pricerateofchange.asp)\n11. [Money Flow Index (MFI)](https:\/\/www.investopedia.com\/terms\/m\/mfi.asp)\n12. [Divergence](https:\/\/www.investopedia.com\/terms\/d\/divergence.asp)\n\nRead more\n\n- [Trading](https:\/\/www.investopedia.com\/trading-4427765)\n- [Technical Analysis](https:\/\/www.investopedia.com\/technical-analysis-4689657)\n\nPartner Links\n\nTake the Next Step to Invest\n\nAdvertiser Disclosure\n\n×\n\nThe offers that appear in this table are from partnerships from which Investopedia receives compensation. This compensation may impact how and where listings appear. 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[C](https:\/\/www.investopedia.com\/terms-beginning-with-c-4769353)\n- [D](https:\/\/www.investopedia.com\/terms-beginning-with-d-4769354)\n- [E](https:\/\/www.investopedia.com\/terms-beginning-with-e-4769355)\n- [F](https:\/\/www.investopedia.com\/terms-beginning-with-f-4769356)\n- [G](https:\/\/www.investopedia.com\/terms-beginning-with-g-4769357)\n- [H](https:\/\/www.investopedia.com\/terms-beginning-with-h-4769358)\n- [I](https:\/\/www.investopedia.com\/terms-beginning-with-i-4769359)\n- [J](https:\/\/www.investopedia.com\/terms-beginning-with-j-4769360)\n- [K](https:\/\/www.investopedia.com\/terms-beginning-with-k-4769361)\n- [L](https:\/\/www.investopedia.com\/terms-beginning-with-l-4769362)\n- [M](https:\/\/www.investopedia.com\/terms-beginning-with-m-4769363)\n- [N](https:\/\/www.investopedia.com\/terms-beginning-with-n-4769364)\n- [O](https:\/\/www.investopedia.com\/terms-beginning-with-o-4769365)\n- [P](https:\/\/www.investopedia.com\/terms-beginning-with-p-4769366)\n- [Q](https:\/\/www.investopedia.com\/terms-beginning-with-q-4769367)\n- [R](https:\/\/www.investopedia.com\/terms-beginning-with-r-4769368)\n- [S](https:\/\/www.investopedia.com\/terms-beginning-with-s-4769369)\n- [T](https:\/\/www.investopedia.com\/terms-beginning-with-t-4769370)\n- [U](https:\/\/www.investopedia.com\/terms-beginning-with-u-4769371)\n- [V](https:\/\/www.investopedia.com\/terms-beginning-with-v-4769372)\n- [W](https:\/\/www.investopedia.com\/terms-beginning-with-w-4769373)\n- [X](https:\/\/www.investopedia.com\/terms-beginning-with-x-4769374)\n- [Y](https:\/\/www.investopedia.com\/terms-beginning-with-y-4769375)\n- [Z](https:\/\/www.investopedia.com\/terms-beginning-with-z-4769376)\n\nInvestopedia is part of the [People Inc.](https:\/\/www.people.inc\/) publishing family.\n\nNewsletter Sign Up\n\nNewsletter Sign Up","attrs_readable_markdown":"### Key Takeaways\n- Moving averages help identify market trends by smoothing price data.\n- Simple and exponential moving averages are common types.\n- Moving averages can signal support and resistance levels.\n- Strategies include using price and dual moving average crossovers.\n- Combining with other indicators can strengthen trading signals.\n\nGet personalized, AI-powered answers built on 27+ years of trusted expertise.\n\nOne of the primary objectives of any market analyst is to determine what exactly the market is *doing*. Is it rising or falling, trending or consolidating? And how do you know? For most, that analysis begins with moving averages. In fact, a commonly accepted definition of a bull market is one that is trading above its 200-day moving average—and the inverse is true for a bear market.\n\nMoving averages are a staple of [technical analysis](https:\/\/www.investopedia.com\/terms\/t\/technicalanalysis.asp) because they help traders determine what is happening in the market by smoothing out price data and filtering out short-term volatility. Traders use them to determine if a market is trending and, if it is trending, as dynamic [support and resistance](https:\/\/www.investopedia.com\/trading\/support-and-resistance-basics\/) levels.\n\nMany traders also use moving averages as the basis of a trend-following trading system, with a shorter-term moving average crossing over a longer-term average taken as an entry signal.\n\n## Understanding Moving Averages\n### Definition and Purpose\nA moving average smooths out price fluctuations by averaging prices over a set period, reducing noise and helping traders determine whether a market is trending or not. They are \"moving\" because they're constantly being recalculated with the latest price data. They also frequently serve as support and resistance in trending markets. Additionally, traders watch for crossovers as signals of a shift in trend.\n\n### Types of Moving Averages\nThe most common moving averages are:\n\n- Simple moving average (SMA)\n- Exponential moving average (EMA)\n- Weighted moving average (WMA)\n- Smoothed moving average (SMMA)\n\n**Simple Moving Average (SMA)**\n\nThe SMA represents the average closing prices of the previous *n* periods. It appears as a smoothed line that shows the average price movement over time. Old data is dropped as new data is added, creating a moving average. Most moving averages are based on closing prices, so only one data point is needed per day. For example, for a 10-day SMA, you would take the closing price of each of the e last 10 days and divide by 10. The calculation is repeated each day, with the oldest date dropping off as a new day is added, creating an average that \"moves.\"\n\nWith the SMA, all the data points within the period are equally weighted. The SMA is a lagging indicator that reacts relatively slowly to price changes.\n\n**Exponential Moving Average (EMA)**\n\nThe EMA is a weighted moving average that prioritizes recent price data. This means it reacts more quickly to price changes than the SMA, thereby helping to reduce the lag.\n\nThere are three steps to calculating the EMA:\n\nFirst, calculate the SMA average. This is used for the initial EMA value.\n\nSecond, determine and calculate the weighting multiplier.\n\nThird, calculate the EMA for each day.\n\nCalculation:\n\nInitial SMA: 10 period\n\nMultiplier: (2\/ (Time periods + 1) ) = (2\/(10+1) ) = 0.1818 or 18.18%\n\nEMA: (Close - EMA (of the previous day) x multiplier + EMA (of the previous day).\n\nThe EMA helps traders respond more quickly to price changes as it captures momentum shifts sooner than the SMA. However, that means it also generates more false signals in choppy markets.\n\n**Weighted Moving Average (WMA)**\n\nAs with the EMA, the WMA assigns greater importance to recent price data. However, unlike the EMA, the weights of the values are adjusted linearly rather than exponentially.\n\nThe characteristics of the WMA are very similar to those of the EMA. But the difference occurs in their calculations. WMAs smooth out price data linearly and are not as dynamic as EMAs.\n\n**Smoothed Moving Average**\n\nThis Smoothed Moving Average is a variation of the SMA and the EMA with a greater smoothing effect. By incorporating more past data into its calculation, it reduces price fluctuations and market noise more effectively than the SMA and EMA.\n\nThe Smoothed Moving Average includes more data than the WMA, EMA, and SMA and filters out a lot of noise. However, this also makes it much slower to react to price movements.\n\nMoving Averages.\n\nTradingview\n## Understanding Moving Averages in Stock Trading\n### Trend Identification\nMoving averages are ideal for identifying market trends. For this reason, they are used by virtually every market analyst and are generally the first indicator to go on any price chart.\n\nA rising moving average indicates an uptrend, with momentum favoring buyers as long as price remains above that moving average. A falling moving average indicates a downtrend. If a moving average is flat, the market is likely consolidating, meaning trend-following strategies will be ineffective.\n\n### Support and Resistance Levels\nMAs can also act as dynamic support and resistance levels when markets are trending. In an uptrend they can serve as support, with price frequently bouncing off the major moving averages, creating opportunities for traders. Similarly, in a downtrend, MAs can be used as resistance levels, preventing breakouts and signaling selling pressure.\n\nAt least part of the reason moving averages consistently provide support and resistance is because traders expect them to, creating a self-fulfilling prophecy. In other words, if everyone thinks price will reverse at a certain level, it probably will because traders will look to enter (or exit) at that level.\n\nAlso, depending on the strength of the trend and the time frame of the moving average (20-, 50- or 200-period), price will often behave differently around different moving averages. At the 20-day, for example, it might find support or resistance and reverse quickly, resuming its previous trend. But at the 50-day or 200-day, it's more likely to consolidate for some time before continuing with the longer-term trend.\n\n## Effective Strategies for Using Moving Averages\nWhen it comes to executing a trading system, as opposed to just getting a read on a market, moving averages are most useful with trend-following or as support or resistance in counter-trend pullbacks.\n\n### Price Crossovers\nPrice crossing over a moving average could provide a signal in itself, one of a trend reversal or continuation. A bullish crossover occurs when the price moves above a moving average, signaling potential upside momentum. A bearish crossover happens when the price drops below a moving average, indicating a possible downtrend.\n\nFor example, following a pullback in a trending market, an asset again rises above its 20-day EMA. That can be considered a bullish signal, indicating potential upside momentum to follow. A stop-loss order just below the 20-day will help manage risk.\n\nTraders also often use price crossovers as a filter. For example, from a technical standpoint, it would be unwise to short an asset that is rising above a steadily rising 20-day SMA and vice versa.\n\nMA Price Crossover.\n\nTradingview\n### Moving Average Crossovers\nThe dual moving average strategy involves a short-term MA crossing a longer-term MA. For some traders, this alone can serve as a buy or sell signal, indicating the start or end of a trend.\n\nWhen the short-term average moves above the long-term average—say, the 50-SMA crosses above the 200-SMA—it's called a [golden cross](https:\/\/www.investopedia.com\/terms\/g\/goldencross.asp) and signals the start of a possible uptrend. Conversely, a [death cross](https:\/\/www.investopedia.com\/terms\/d\/deathcross.asp) happens when the 50-SMA crosses below the 200-SMA, indicating a downtrend.\n\nTraders use dual crossovers across virtually every asset class, adjusting the moving averages' periods to fit their strategy and market. This method is effective for trend following but can also frequently produce false signals and whipsaws. The key to profitability is position sizing and making sure the winners are far bigger than the losers. Generally, traders risk 1% to 2% of capital per trade and set minimum risk-reward ratios.\n\nSMA Dual Crossover.\n\nTradingview\n## Pros and Cons of Using Moving Averages\nPros\n\n- Trend Identification\n- Dynamic Support and Resistance Levels\n- Helps Reduce Market Noise\n- Trade Signal Generation\n- Works Across Different Timeframes and Markets\n- Can be Used with Other Indicators\n\nCons\n\n- Lagging Indicator\n- Ineffective in Sideways or Choppy Markets\n- False Signals and Whipsaws\n- Lacks Predictability\n## Improving Your Moving Average Techniques\n### Combining with Other Indicators\nCombining MAs with other indicators enhances accuracy by filtering out false signals. It also helps with trend confirmation. Moreover, volume analysis strengthens MA crossovers as high volume supports bullish or bearish moves, while low volume may indicate a false breakout.\n\nThe [Moving Average Convergence Divergence (MACD)](https:\/\/www.investopedia.com\/terms\/m\/macd.asp) helps confirm momentum shifts, while the [Relative Strength Index (RSI)](https:\/\/www.investopedia.com\/terms\/r\/rsi.asp) ensures MAs are signaling trades when there is negative or positive divergence. [Bollinger Bands](https:\/\/www.investopedia.com\/terms\/b\/bollingerbands.asp) validate breakouts, helping traders avoid weak signals in sideways markets. [Average True Range (ATR)](https:\/\/www.investopedia.com\/terms\/a\/atr.asp) adjusts MA sensitivity based on volatility, ensuring traders use shorter MAs in quiet markets and longer MAs in volatile conditions.\n\n## The Bottom Line\nMoving averages are quite useful in recognizing the state of the market. However, their effectiveness as trading signals depends on market conditions and risk management. Traders adjust the types of moving averages they use and the number of periods based on their trading strategy and frequently combine them with other indicators such as the MACD, RSI, and Bollinger Bands.\n\nFinally, as MAs tend to lag in choppy markets, combining them with risk management tools like stop-losses and position sizing helps ensure better decision-making.","meta_canonical":null}

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URL	https://www.investopedia.com/articles/active-trading/052014/how-use-moving-average-buy-stocks.asp
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Meta Title	Master Moving Averages: A Guide to Smarter Stock Investments
Meta Description	Discover how moving averages reveal stock trends and signals. Enhance your trading strategy with simple and exponential moving averages for smarter investments.
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Boilerpipe Text	Key Takeaways Moving averages help identify market trends by smoothing price data. Simple and exponential moving averages are common types. Moving averages can signal support and resistance levels. Strategies include using price and dual moving average crossovers. Combining with other indicators can strengthen trading signals. Get personalized, AI-powered answers built on 27+ years of trusted expertise. One of the primary objectives of any market analyst is to determine what exactly the market is doing . Is it rising or falling, trending or consolidating? And how do you know? For most, that analysis begins with moving averages. In fact, a commonly accepted definition of a bull market is one that is trading above its 200-day moving average—and the inverse is true for a bear market. Moving averages are a staple of technical analysis because they help traders determine what is happening in the market by smoothing out price data and filtering out short-term volatility. Traders use them to determine if a market is trending and, if it is trending, as dynamic support and resistance levels. Many traders also use moving averages as the basis of a trend-following trading system, with a shorter-term moving average crossing over a longer-term average taken as an entry signal. Understanding Moving Averages Definition and Purpose A moving average smooths out price fluctuations by averaging prices over a set period, reducing noise and helping traders determine whether a market is trending or not. They are "moving" because they're constantly being recalculated with the latest price data. They also frequently serve as support and resistance in trending markets. Additionally, traders watch for crossovers as signals of a shift in trend. Types of Moving Averages The most common moving averages are: Simple moving average (SMA) Exponential moving average (EMA) Weighted moving average (WMA) Smoothed moving average (SMMA) Simple Moving Average (SMA) The SMA represents the average closing prices of the previous n periods. It appears as a smoothed line that shows the average price movement over time. Old data is dropped as new data is added, creating a moving average. Most moving averages are based on closing prices, so only one data point is needed per day. For example, for a 10-day SMA, you would take the closing price of each of the e last 10 days and divide by 10. The calculation is repeated each day, with the oldest date dropping off as a new day is added, creating an average that "moves." With the SMA, all the data points within the period are equally weighted. The SMA is a lagging indicator that reacts relatively slowly to price changes. Exponential Moving Average (EMA) The EMA is a weighted moving average that prioritizes recent price data. This means it reacts more quickly to price changes than the SMA, thereby helping to reduce the lag. There are three steps to calculating the EMA: First, calculate the SMA average. This is used for the initial EMA value. Second, determine and calculate the weighting multiplier. Third, calculate the EMA for each day. Calculation: Initial SMA: 10 period Multiplier: (2/ (Time periods + 1) ) = (2/(10+1) ) = 0.1818 or 18.18% EMA: (Close - EMA (of the previous day) x multiplier + EMA (of the previous day). The EMA helps traders respond more quickly to price changes as it captures momentum shifts sooner than the SMA. However, that means it also generates more false signals in choppy markets. Weighted Moving Average (WMA) As with the EMA, the WMA assigns greater importance to recent price data. However, unlike the EMA, the weights of the values are adjusted linearly rather than exponentially. The characteristics of the WMA are very similar to those of the EMA. But the difference occurs in their calculations. WMAs smooth out price data linearly and are not as dynamic as EMAs. Smoothed Moving Average This Smoothed Moving Average is a variation of the SMA and the EMA with a greater smoothing effect. By incorporating more past data into its calculation, it reduces price fluctuations and market noise more effectively than the SMA and EMA. The Smoothed Moving Average includes more data than the WMA, EMA, and SMA and filters out a lot of noise. However, this also makes it much slower to react to price movements. Moving Averages. Tradingview Understanding Moving Averages in Stock Trading Trend Identification Moving averages are ideal for identifying market trends. For this reason, they are used by virtually every market analyst and are generally the first indicator to go on any price chart. A rising moving average indicates an uptrend, with momentum favoring buyers as long as price remains above that moving average. A falling moving average indicates a downtrend. If a moving average is flat, the market is likely consolidating, meaning trend-following strategies will be ineffective. Support and Resistance Levels MAs can also act as dynamic support and resistance levels when markets are trending. In an uptrend they can serve as support, with price frequently bouncing off the major moving averages, creating opportunities for traders. Similarly, in a downtrend, MAs can be used as resistance levels, preventing breakouts and signaling selling pressure. At least part of the reason moving averages consistently provide support and resistance is because traders expect them to, creating a self-fulfilling prophecy. In other words, if everyone thinks price will reverse at a certain level, it probably will because traders will look to enter (or exit) at that level. Also, depending on the strength of the trend and the time frame of the moving average (20-, 50- or 200-period), price will often behave differently around different moving averages. At the 20-day, for example, it might find support or resistance and reverse quickly, resuming its previous trend. But at the 50-day or 200-day, it's more likely to consolidate for some time before continuing with the longer-term trend. Effective Strategies for Using Moving Averages When it comes to executing a trading system, as opposed to just getting a read on a market, moving averages are most useful with trend-following or as support or resistance in counter-trend pullbacks. Price Crossovers Price crossing over a moving average could provide a signal in itself, one of a trend reversal or continuation. A bullish crossover occurs when the price moves above a moving average, signaling potential upside momentum. A bearish crossover happens when the price drops below a moving average, indicating a possible downtrend. For example, following a pullback in a trending market, an asset again rises above its 20-day EMA. That can be considered a bullish signal, indicating potential upside momentum to follow. A stop-loss order just below the 20-day will help manage risk. Traders also often use price crossovers as a filter. For example, from a technical standpoint, it would be unwise to short an asset that is rising above a steadily rising 20-day SMA and vice versa. MA Price Crossover. Tradingview Moving Average Crossovers The dual moving average strategy involves a short-term MA crossing a longer-term MA. For some traders, this alone can serve as a buy or sell signal, indicating the start or end of a trend. When the short-term average moves above the long-term average—say, the 50-SMA crosses above the 200-SMA—it's called a golden cross and signals the start of a possible uptrend. Conversely, a death cross happens when the 50-SMA crosses below the 200-SMA, indicating a downtrend. Traders use dual crossovers across virtually every asset class, adjusting the moving averages' periods to fit their strategy and market. This method is effective for trend following but can also frequently produce false signals and whipsaws. The key to profitability is position sizing and making sure the winners are far bigger than the losers. Generally, traders risk 1% to 2% of capital per trade and set minimum risk-reward ratios. SMA Dual Crossover. Tradingview Pros and Cons of Using Moving Averages Pros Trend Identification Dynamic Support and Resistance Levels Helps Reduce Market Noise Trade Signal Generation Works Across Different Timeframes and Markets Can be Used with Other Indicators Cons Lagging Indicator Ineffective in Sideways or Choppy Markets False Signals and Whipsaws Lacks Predictability Improving Your Moving Average Techniques Combining with Other Indicators Combining MAs with other indicators enhances accuracy by filtering out false signals. It also helps with trend confirmation. Moreover, volume analysis strengthens MA crossovers as high volume supports bullish or bearish moves, while low volume may indicate a false breakout. The Moving Average Convergence Divergence (MACD) helps confirm momentum shifts, while the Relative Strength Index (RSI) ensures MAs are signaling trades when there is negative or positive divergence. Bollinger Bands validate breakouts, helping traders avoid weak signals in sideways markets. Average True Range (ATR) adjusts MA sensitivity based on volatility, ensuring traders use shorter MAs in quiet markets and longer MAs in volatile conditions. The Bottom Line Moving averages are quite useful in recognizing the state of the market. However, their effectiveness as trading signals depends on market conditions and risk management. Traders adjust the types of moving averages they use and the number of periods based on their trading strategy and frequently combine them with other indicators such as the MACD, RSI, and Bollinger Bands. Finally, as MAs tend to lag in choppy markets, combining them with risk management tools like stop-losses and position sizing helps ensure better decision-making.
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[Pros and Cons](https://www.investopedia.com/articles/active-trading/052014/how-use-moving-average-buy-stocks.asp#toc-pros-and-cons-of-using-moving-averages) - [Improving Your MA Techniques](https://www.investopedia.com/articles/active-trading/052014/how-use-moving-average-buy-stocks.asp#toc-improving-your-moving-average-techniques) - [The Bottom Line](https://www.investopedia.com/articles/active-trading/052014/how-use-moving-average-buy-stocks.asp#toc-the-bottom-line) # Master Moving Averages: A Guide to Smarter Stock Investments By [Cedric Thompson](https://www.investopedia.com/cedric-thompson-6891417) ![Profile Picture]() ![Profile Picture](https://www.investopedia.com/thmb/5vICauAiCyxNeYM1qelhLOx7NrE=/200x200/filters:no_upscale\(\):max_bytes\(150000\):strip_icc\(\)/WhatsAppImage2023-01-27at15.28.11-ab485076e611401ca7e1b390ba1e3b3e.jpeg) [Full Bio](https://www.investopedia.com/cedric-thompson-6891417) Cedric Thompson is a pioneer of Technical Analysis in the English-speaking Caribbean and an Investment Management Strategist at the Trinidad and Tobago Unit Trust Corporation Learn about our [editorial policies](https://www.investopedia.com/legal-4768893#editorial-policy) Updated March 08, 2026 Fact checked by [Stella Osoba](https://www.investopedia.com/contributors/53997/) ![Stella Osoba headshot black and white]() ![Stella Osoba headshot black and white](https://www.investopedia.com/thmb/vqnzEP_DE9hjf5qZuxApjZkHgWs=/200x200/filters:no_upscale\(\):max_bytes\(150000\):strip_icc\(\)/Stella-Osoba_BW-WebReady-dd802700bcf54516a75b8c740dec302f.jpg) Fact checked by Stella Osoba [Full Bio](https://www.investopedia.com/contributors/53997/) Stella Osoba is the Senior Editor of trading and investing at Investopedia. She co-founded and chaired Women in Technical Analysis. She has 15+ years of experience as a financial writer and technical analyst. Learn about our [editorial policies](https://www.investopedia.com/legal-4768893#editorial-policy) Part of the Series Guide to Technical Analysis [Technical Analysis of Stocks and Trends Definition](https://www.investopedia.com/terms/t/technical-analysis-of-stocks-and-trends.asp) Key Technical Analysis Concepts 1. [Dow Theory](https://www.investopedia.com/terms/d/dowtheory.asp) 2. [Support and Resistance Basics](https://www.investopedia.com/trading/support-and-resistance-basics/) 3. [Support (Support Level)](https://www.investopedia.com/terms/s/support.asp) 4. [Resistance (Resistance Level)](https://www.investopedia.com/terms/r/resistance.asp) 5. [Pullback](https://www.investopedia.com/terms/p/pullback.asp) 6. [Overbought](https://www.investopedia.com/terms/o/overbought.asp) 7. [Relative Strength](https://www.investopedia.com/terms/r/relativestrength.asp) 8. [Candlestick](https://www.investopedia.com/terms/c/candlestick.asp) 9. [Volume](https://www.investopedia.com/terms/v/volume.asp) 10. [Gap](https://www.investopedia.com/terms/g/gap.asp) Getting Started with Technical Analysis 1. [Best Ways To Learn Technical Analysis](https://www.investopedia.com/trading/best-ways-learn-technical-analysis/) 2. [Top 7 Books to Learn Technical Analysis](https://www.investopedia.com/articles/personal-finance/090916/top-5-books-learn-technical-analysis.asp) 3. [The Best Technical Analysis Trading Software](https://www.investopedia.com/articles/active-trading/121014/best-technical-analysis-trading-software.asp) Essential Technical Analysis Strategies 1. [Technical Analysis Strategies for Beginners](https://www.investopedia.com/articles/active-trading/102914/technical-analysis-strategies-beginners.asp) 2. [How to Use a Moving Average to Buy Stocks](https://www.investopedia.com/articles/active-trading/052014/how-use-moving-average-buy-stocks.asp) CURRENT ARTICLE 3. [How to Use Volume to Improve Your Trading](https://www.investopedia.com/articles/technical/02/010702.asp) 4. [The Anatomy of Trading Breakouts](https://www.investopedia.com/articles/trading/08/trading-breakouts.asp) 5. [Market Reversals and How to Spot Them](https://www.investopedia.com/investing/market-reversals-and-how-spot-them/) Technical Analysis Patterns 1. [Introduction to Technical Analysis Price Patterns](https://www.investopedia.com/articles/technical/112601.asp) 2. [5 Most Powerful Candlestick Patterns](https://www.investopedia.com/articles/active-trading/092315/5-most-powerful-candlestick-patterns.asp) 3. [Continuation Pattern](https://www.investopedia.com/terms/c/continuationpattern.asp) 4. [Trendline](https://www.investopedia.com/terms/t/trendline.asp) 5. [Price Channel](https://www.investopedia.com/terms/p/price-channel.asp) 6. [Channeling: Charting a Path to Success](https://www.investopedia.com/trading/channeling-charting-path-to-success/) 7. [Playing the Gap](https://www.investopedia.com/articles/trading/05/playinggaps.asp) 8. [Double Tops and Bottoms](https://www.investopedia.com/terms/d/double-top-and-bottom.asp) 9. [Triple Tops and Bottoms](https://www.investopedia.com/articles/technical/02/012102.asp) 10. [Head And Shoulders Pattern](https://www.investopedia.com/terms/h/head-shoulders.asp) 11. [How to Trade the Head and Shoulders Pattern](https://www.investopedia.com/articles/technical/121201.asp) 12. [Flag](https://www.investopedia.com/terms/f/flag.asp) 13. [Pennant](https://www.investopedia.com/terms/p/pennant.asp) 14. [Triangle](https://www.investopedia.com/terms/t/triangle.asp) 15. [Wedge](https://www.investopedia.com/terms/w/wedge.asp) 16. [Cup and Handle Pattern](https://www.investopedia.com/terms/c/cupandhandle.asp) 17. [Trading Fibonacci Retracements](https://www.investopedia.com/articles/active-trading/091114/strategies-trading-fibonacci-retracements.asp) 18. [Elliott Wave Theory](https://www.investopedia.com/terms/e/elliottwavetheory.asp) 19. [Trader's Guide to Using Fractals](https://www.investopedia.com/articles/trading/06/fractals.asp) Technical Analysis Indicators 1. [Technical Indicator Definition](https://www.investopedia.com/terms/t/technicalindicator.asp) 2. [Moving Average (MA)](https://www.investopedia.com/terms/m/movingaverage.asp) 3. [Crossover](https://www.investopedia.com/terms/c/crossover.asp) 4. [Golden Cross vs. Death Cross](https://www.investopedia.com/ask/answers/121114/what-difference-between-golden-cross-and-death-cross-pattern.asp) 5. [Bollinger Band®](https://www.investopedia.com/terms/b/bollingerbands.asp) 6. [Oscillator](https://www.investopedia.com/terms/o/oscillator.asp) 7. [Moving Average Convergence Divergence (MACD)](https://www.investopedia.com/terms/m/macd.asp) 8. [Relative Strength Index (RSI)](https://www.investopedia.com/terms/r/rsi.asp) 9. [Stochastic Oscillator](https://www.investopedia.com/terms/s/stochasticoscillator.asp) 10. [Rate Of Change](https://www.investopedia.com/terms/p/pricerateofchange.asp) 11. [Money Flow Index (MFI)](https://www.investopedia.com/terms/m/mfi.asp) 12. [Divergence](https://www.investopedia.com/terms/d/divergence.asp) ### Key Takeaways - Moving averages help identify market trends by smoothing price data. - Simple and exponential moving averages are common types. - Moving averages can signal support and resistance levels. - Strategies include using price and dual moving average crossovers. - Combining with other indicators can strengthen trading signals. Get personalized, AI-powered answers built on 27+ years of trusted expertise. ASK One of the primary objectives of any market analyst is to determine what exactly the market is doing. Is it rising or falling, trending or consolidating? And how do you know? For most, that analysis begins with moving averages. In fact, a commonly accepted definition of a bull market is one that is trading above its 200-day moving average—and the inverse is true for a bear market. Moving averages are a staple of [technical analysis](https://www.investopedia.com/terms/t/technicalanalysis.asp) because they help traders determine what is happening in the market by smoothing out price data and filtering out short-term volatility. Traders use them to determine if a market is trending and, if it is trending, as dynamic [support and resistance](https://www.investopedia.com/trading/support-and-resistance-basics/) levels. Many traders also use moving averages as the basis of a trend-following trading system, with a shorter-term moving average crossing over a longer-term average taken as an entry signal. ## Understanding Moving Averages ### Definition and Purpose A moving average smooths out price fluctuations by averaging prices over a set period, reducing noise and helping traders determine whether a market is trending or not. They are "moving" because they're constantly being recalculated with the latest price data. They also frequently serve as support and resistance in trending markets. Additionally, traders watch for crossovers as signals of a shift in trend. ### Types of Moving Averages The most common moving averages are: - Simple moving average (SMA) - Exponential moving average (EMA) - Weighted moving average (WMA) - Smoothed moving average (SMMA) Simple Moving Average (SMA) The SMA represents the average closing prices of the previous n periods. It appears as a smoothed line that shows the average price movement over time. Old data is dropped as new data is added, creating a moving average. Most moving averages are based on closing prices, so only one data point is needed per day. For example, for a 10-day SMA, you would take the closing price of each of the e last 10 days and divide by 10. The calculation is repeated each day, with the oldest date dropping off as a new day is added, creating an average that "moves." With the SMA, all the data points within the period are equally weighted. The SMA is a lagging indicator that reacts relatively slowly to price changes. Exponential Moving Average (EMA) The EMA is a weighted moving average that prioritizes recent price data. This means it reacts more quickly to price changes than the SMA, thereby helping to reduce the lag. There are three steps to calculating the EMA: First, calculate the SMA average. This is used for the initial EMA value. Second, determine and calculate the weighting multiplier. Third, calculate the EMA for each day. Calculation: Initial SMA: 10 period Multiplier: (2/ (Time periods + 1) ) = (2/(10+1) ) = 0.1818 or 18.18% EMA: (Close - EMA (of the previous day) x multiplier + EMA (of the previous day). The EMA helps traders respond more quickly to price changes as it captures momentum shifts sooner than the SMA. However, that means it also generates more false signals in choppy markets. Weighted Moving Average (WMA) As with the EMA, the WMA assigns greater importance to recent price data. However, unlike the EMA, the weights of the values are adjusted linearly rather than exponentially. The characteristics of the WMA are very similar to those of the EMA. But the difference occurs in their calculations. WMAs smooth out price data linearly and are not as dynamic as EMAs. Smoothed Moving Average This Smoothed Moving Average is a variation of the SMA and the EMA with a greater smoothing effect. By incorporating more past data into its calculation, it reduces price fluctuations and market noise more effectively than the SMA and EMA. The Smoothed Moving Average includes more data than the WMA, EMA, and SMA and filters out a lot of noise. However, this also makes it much slower to react to price movements. ![Moving Averages ]() ![Moving Averages ](https://www.investopedia.com/thmb/FORhWxTpiUKTT9W7Uf2X4Txt0xQ=/1500x0/filters:no_upscale\(\):max_bytes\(150000\):strip_icc\(\)/MA_1-1914df37edc64885aaf6c75d548e3e55.jpg) Moving Averages. Tradingview ## Understanding Moving Averages in Stock Trading ### Trend Identification Moving averages are ideal for identifying market trends. For this reason, they are used by virtually every market analyst and are generally the first indicator to go on any price chart. A rising moving average indicates an uptrend, with momentum favoring buyers as long as price remains above that moving average. A falling moving average indicates a downtrend. If a moving average is flat, the market is likely consolidating, meaning trend-following strategies will be ineffective. ### Support and Resistance Levels MAs can also act as dynamic support and resistance levels when markets are trending. In an uptrend they can serve as support, with price frequently bouncing off the major moving averages, creating opportunities for traders. Similarly, in a downtrend, MAs can be used as resistance levels, preventing breakouts and signaling selling pressure. At least part of the reason moving averages consistently provide support and resistance is because traders expect them to, creating a self-fulfilling prophecy. In other words, if everyone thinks price will reverse at a certain level, it probably will because traders will look to enter (or exit) at that level. Also, depending on the strength of the trend and the time frame of the moving average (20-, 50- or 200-period), price will often behave differently around different moving averages. At the 20-day, for example, it might find support or resistance and reverse quickly, resuming its previous trend. But at the 50-day or 200-day, it's more likely to consolidate for some time before continuing with the longer-term trend. ## Effective Strategies for Using Moving Averages When it comes to executing a trading system, as opposed to just getting a read on a market, moving averages are most useful with trend-following or as support or resistance in counter-trend pullbacks. ### Price Crossovers Price crossing over a moving average could provide a signal in itself, one of a trend reversal or continuation. A bullish crossover occurs when the price moves above a moving average, signaling potential upside momentum. A bearish crossover happens when the price drops below a moving average, indicating a possible downtrend. For example, following a pullback in a trending market, an asset again rises above its 20-day EMA. That can be considered a bullish signal, indicating potential upside momentum to follow. A stop-loss order just below the 20-day will help manage risk. Traders also often use price crossovers as a filter. For example, from a technical standpoint, it would be unwise to short an asset that is rising above a steadily rising 20-day SMA and vice versa. ![MA Price Crossover]() ![MA Price Crossover](https://www.investopedia.com/thmb/nb3oBvMlAMp0lxfki11sgviTrck=/1500x0/filters:no_upscale\(\):max_bytes\(150000\):strip_icc\(\)/MA_2-914e5a3db5da45e08d019f4bb9d01eee.jpg) MA Price Crossover. Tradingview ### Moving Average Crossovers The dual moving average strategy involves a short-term MA crossing a longer-term MA. For some traders, this alone can serve as a buy or sell signal, indicating the start or end of a trend. When the short-term average moves above the long-term average—say, the 50-SMA crosses above the 200-SMA—it's called a [golden cross](https://www.investopedia.com/terms/g/goldencross.asp) and signals the start of a possible uptrend. Conversely, a [death cross](https://www.investopedia.com/terms/d/deathcross.asp) happens when the 50-SMA crosses below the 200-SMA, indicating a downtrend. Traders use dual crossovers across virtually every asset class, adjusting the moving averages' periods to fit their strategy and market. This method is effective for trend following but can also frequently produce false signals and whipsaws. The key to profitability is position sizing and making sure the winners are far bigger than the losers. Generally, traders risk 1% to 2% of capital per trade and set minimum risk-reward ratios. ![SMA Dual Crossover]() ![SMA Dual Crossover](https://www.investopedia.com/thmb/KAfF_ySpOypqDqfbD43_xubO3XY=/1500x0/filters:no_upscale\(\):max_bytes\(150000\):strip_icc\(\)/MA_3-e0bd3c16bd2c42ea99565737ea4879fe.jpg) SMA Dual Crossover. Tradingview ## Pros and Cons of Using Moving Averages Pros - Trend Identification - Dynamic Support and Resistance Levels - Helps Reduce Market Noise - Trade Signal Generation - Works Across Different Timeframes and Markets - Can be Used with Other Indicators Cons - Lagging Indicator - Ineffective in Sideways or Choppy Markets - False Signals and Whipsaws - Lacks Predictability ## Improving Your Moving Average Techniques ### Combining with Other Indicators Combining MAs with other indicators enhances accuracy by filtering out false signals. It also helps with trend confirmation. Moreover, volume analysis strengthens MA crossovers as high volume supports bullish or bearish moves, while low volume may indicate a false breakout. The [Moving Average Convergence Divergence (MACD)](https://www.investopedia.com/terms/m/macd.asp) helps confirm momentum shifts, while the [Relative Strength Index (RSI)](https://www.investopedia.com/terms/r/rsi.asp) ensures MAs are signaling trades when there is negative or positive divergence. [Bollinger Bands](https://www.investopedia.com/terms/b/bollingerbands.asp) validate breakouts, helping traders avoid weak signals in sideways markets. [Average True Range (ATR)](https://www.investopedia.com/terms/a/atr.asp) adjusts MA sensitivity based on volatility, ensuring traders use shorter MAs in quiet markets and longer MAs in volatile conditions. ## The Bottom Line Moving averages are quite useful in recognizing the state of the market. However, their effectiveness as trading signals depends on market conditions and risk management. Traders adjust the types of moving averages they use and the number of periods based on their trading strategy and frequently combine them with other indicators such as the MACD, RSI, and Bollinger Bands. Finally, as MAs tend to lag in choppy markets, combining them with risk management tools like stop-losses and position sizing helps ensure better decision-making. Get personalized, AI-powered answers built on 27+ years of trusted expertise. ASK Article Sources Investopedia requires writers to use primary sources to support their work. These include white papers, government data, original reporting, and interviews with industry experts. We also reference original research from other reputable publishers where appropriate. You can learn more about the standards we follow in producing accurate, unbiased content in our [editorial policy.](https://www.investopedia.com/legal-4768893#EditorialPolicy) 1. FXOpen, "[Simple, Weighted, and Exponential Moving Averages: The Differences](https://fxopen.com/blog/en/what-is-the-difference-between-simple-weighted-and-exponential-moving-averages/)" 2. OANDA, Trade Tap Blog, "[Understanding moving averages: types, benefits & trading strategies](https://www.oanda.com/us-en/trade-tap-blog/trading-knowledge/identify-trends-with-moving-averages/)" 3. CME Group, "[Support and Resistance](https://www.cmegroup.com/education/courses/technical-analysis/support-and-resistance.html)" 4. Charles Schwab, "[Understanding Simple Moving Average Crossovers](https://www.schwab.com/learn/story/understanding-simple-moving-average-crossovers)" 5. Trade Nation, "[Risk management in trading](https://tradenation.com/en-gb/articles/risk-management/)" 6. CMC Markets, "[Death cross and golden cross strategies](https://www.cmcmarkets.com/en-gb/trading-guides/golden-cross-death-cross)" 7. Tradeciety, "[How to Combine the Best Indicators and Avoid Wrong Signals](https://tradeciety.com/how-to-choose-the-best-indicators-for-your-trading)" Compare Accounts Advertiser Disclosure × The offers that appear in this table are from partnerships from which Investopedia receives compensation. This compensation may impact how and where listings appear. Investopedia does not include all offers available in the marketplace. Part of the Series Guide to Technical Analysis [Technical Analysis of Stocks and Trends Definition](https://www.investopedia.com/terms/t/technical-analysis-of-stocks-and-trends.asp) Key Technical Analysis Concepts 1. [Dow Theory](https://www.investopedia.com/terms/d/dowtheory.asp) 2. [Support and Resistance Basics](https://www.investopedia.com/trading/support-and-resistance-basics/) 3. [Support (Support Level)](https://www.investopedia.com/terms/s/support.asp) 4. [Resistance (Resistance Level)](https://www.investopedia.com/terms/r/resistance.asp) 5. [Pullback](https://www.investopedia.com/terms/p/pullback.asp) 6. [Overbought](https://www.investopedia.com/terms/o/overbought.asp) 7. [Relative Strength](https://www.investopedia.com/terms/r/relativestrength.asp) 8. [Candlestick](https://www.investopedia.com/terms/c/candlestick.asp) 9. [Volume](https://www.investopedia.com/terms/v/volume.asp) 10. [Gap](https://www.investopedia.com/terms/g/gap.asp) Getting Started with Technical Analysis 1. [Best Ways To Learn Technical Analysis](https://www.investopedia.com/trading/best-ways-learn-technical-analysis/) 2. [Top 7 Books to Learn Technical Analysis](https://www.investopedia.com/articles/personal-finance/090916/top-5-books-learn-technical-analysis.asp) 3. [The Best Technical Analysis Trading Software](https://www.investopedia.com/articles/active-trading/121014/best-technical-analysis-trading-software.asp) Essential Technical Analysis Strategies 1. [Technical Analysis Strategies for Beginners](https://www.investopedia.com/articles/active-trading/102914/technical-analysis-strategies-beginners.asp) 2. [How to Use a Moving Average to Buy Stocks](https://www.investopedia.com/articles/active-trading/052014/how-use-moving-average-buy-stocks.asp) CURRENT ARTICLE 3. [How to Use Volume to Improve Your Trading](https://www.investopedia.com/articles/technical/02/010702.asp) 4. [The Anatomy of Trading Breakouts](https://www.investopedia.com/articles/trading/08/trading-breakouts.asp) 5. [Market Reversals and How to Spot Them](https://www.investopedia.com/investing/market-reversals-and-how-spot-them/) Technical Analysis Patterns 1. [Introduction to Technical Analysis Price Patterns](https://www.investopedia.com/articles/technical/112601.asp) 2. [5 Most Powerful Candlestick Patterns](https://www.investopedia.com/articles/active-trading/092315/5-most-powerful-candlestick-patterns.asp) 3. [Continuation Pattern](https://www.investopedia.com/terms/c/continuationpattern.asp) 4. [Trendline](https://www.investopedia.com/terms/t/trendline.asp) 5. [Price Channel](https://www.investopedia.com/terms/p/price-channel.asp) 6. [Channeling: Charting a Path to Success](https://www.investopedia.com/trading/channeling-charting-path-to-success/) 7. [Playing the Gap](https://www.investopedia.com/articles/trading/05/playinggaps.asp) 8. [Double Tops and Bottoms](https://www.investopedia.com/terms/d/double-top-and-bottom.asp) 9. [Triple Tops and Bottoms](https://www.investopedia.com/articles/technical/02/012102.asp) 10. [Head And Shoulders Pattern](https://www.investopedia.com/terms/h/head-shoulders.asp) 11. [How to Trade the Head and Shoulders Pattern](https://www.investopedia.com/articles/technical/121201.asp) 12. [Flag](https://www.investopedia.com/terms/f/flag.asp) 13. [Pennant](https://www.investopedia.com/terms/p/pennant.asp) 14. [Triangle](https://www.investopedia.com/terms/t/triangle.asp) 15. [Wedge](https://www.investopedia.com/terms/w/wedge.asp) 16. [Cup and Handle Pattern](https://www.investopedia.com/terms/c/cupandhandle.asp) 17. [Trading Fibonacci Retracements](https://www.investopedia.com/articles/active-trading/091114/strategies-trading-fibonacci-retracements.asp) 18. [Elliott Wave Theory](https://www.investopedia.com/terms/e/elliottwavetheory.asp) 19. [Trader's Guide to Using Fractals](https://www.investopedia.com/articles/trading/06/fractals.asp) Technical Analysis Indicators 1. [Technical Indicator Definition](https://www.investopedia.com/terms/t/technicalindicator.asp) 2. [Moving Average (MA)](https://www.investopedia.com/terms/m/movingaverage.asp) 3. [Crossover](https://www.investopedia.com/terms/c/crossover.asp) 4. [Golden Cross vs. Death Cross](https://www.investopedia.com/ask/answers/121114/what-difference-between-golden-cross-and-death-cross-pattern.asp) 5. [Bollinger Band®](https://www.investopedia.com/terms/b/bollingerbands.asp) 6. [Oscillator](https://www.investopedia.com/terms/o/oscillator.asp) 7. [Moving Average Convergence Divergence (MACD)](https://www.investopedia.com/terms/m/macd.asp) 8. [Relative Strength Index (RSI)](https://www.investopedia.com/terms/r/rsi.asp) 9. [Stochastic Oscillator](https://www.investopedia.com/terms/s/stochasticoscillator.asp) 10. [Rate Of Change](https://www.investopedia.com/terms/p/pricerateofchange.asp) 11. [Money Flow Index (MFI)](https://www.investopedia.com/terms/m/mfi.asp) 12. [Divergence](https://www.investopedia.com/terms/d/divergence.asp) Read more - [Trading](https://www.investopedia.com/trading-4427765) - [Technical Analysis](https://www.investopedia.com/technical-analysis-4689657) Partner Links Take the Next Step to Invest Advertiser Disclosure × The offers that appear in this table are from partnerships from which Investopedia receives compensation. This compensation may impact how and where listings appear. 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Readable Markdown	### Key Takeaways - Moving averages help identify market trends by smoothing price data. - Simple and exponential moving averages are common types. - Moving averages can signal support and resistance levels. - Strategies include using price and dual moving average crossovers. - Combining with other indicators can strengthen trading signals. Get personalized, AI-powered answers built on 27+ years of trusted expertise. One of the primary objectives of any market analyst is to determine what exactly the market is doing. Is it rising or falling, trending or consolidating? And how do you know? For most, that analysis begins with moving averages. In fact, a commonly accepted definition of a bull market is one that is trading above its 200-day moving average—and the inverse is true for a bear market. Moving averages are a staple of [technical analysis](https://www.investopedia.com/terms/t/technicalanalysis.asp) because they help traders determine what is happening in the market by smoothing out price data and filtering out short-term volatility. Traders use them to determine if a market is trending and, if it is trending, as dynamic [support and resistance](https://www.investopedia.com/trading/support-and-resistance-basics/) levels. Many traders also use moving averages as the basis of a trend-following trading system, with a shorter-term moving average crossing over a longer-term average taken as an entry signal. ## Understanding Moving Averages ### Definition and Purpose A moving average smooths out price fluctuations by averaging prices over a set period, reducing noise and helping traders determine whether a market is trending or not. They are "moving" because they're constantly being recalculated with the latest price data. They also frequently serve as support and resistance in trending markets. Additionally, traders watch for crossovers as signals of a shift in trend. ### Types of Moving Averages The most common moving averages are: - Simple moving average (SMA) - Exponential moving average (EMA) - Weighted moving average (WMA) - Smoothed moving average (SMMA) Simple Moving Average (SMA) The SMA represents the average closing prices of the previous n periods. It appears as a smoothed line that shows the average price movement over time. Old data is dropped as new data is added, creating a moving average. Most moving averages are based on closing prices, so only one data point is needed per day. For example, for a 10-day SMA, you would take the closing price of each of the e last 10 days and divide by 10. The calculation is repeated each day, with the oldest date dropping off as a new day is added, creating an average that "moves." With the SMA, all the data points within the period are equally weighted. The SMA is a lagging indicator that reacts relatively slowly to price changes. Exponential Moving Average (EMA) The EMA is a weighted moving average that prioritizes recent price data. This means it reacts more quickly to price changes than the SMA, thereby helping to reduce the lag. There are three steps to calculating the EMA: First, calculate the SMA average. This is used for the initial EMA value. Second, determine and calculate the weighting multiplier. Third, calculate the EMA for each day. Calculation: Initial SMA: 10 period Multiplier: (2/ (Time periods + 1) ) = (2/(10+1) ) = 0.1818 or 18.18% EMA: (Close - EMA (of the previous day) x multiplier + EMA (of the previous day). The EMA helps traders respond more quickly to price changes as it captures momentum shifts sooner than the SMA. However, that means it also generates more false signals in choppy markets. Weighted Moving Average (WMA) As with the EMA, the WMA assigns greater importance to recent price data. However, unlike the EMA, the weights of the values are adjusted linearly rather than exponentially. The characteristics of the WMA are very similar to those of the EMA. But the difference occurs in their calculations. WMAs smooth out price data linearly and are not as dynamic as EMAs. Smoothed Moving Average This Smoothed Moving Average is a variation of the SMA and the EMA with a greater smoothing effect. By incorporating more past data into its calculation, it reduces price fluctuations and market noise more effectively than the SMA and EMA. The Smoothed Moving Average includes more data than the WMA, EMA, and SMA and filters out a lot of noise. However, this also makes it much slower to react to price movements. Moving Averages. Tradingview ## Understanding Moving Averages in Stock Trading ### Trend Identification Moving averages are ideal for identifying market trends. For this reason, they are used by virtually every market analyst and are generally the first indicator to go on any price chart. A rising moving average indicates an uptrend, with momentum favoring buyers as long as price remains above that moving average. A falling moving average indicates a downtrend. If a moving average is flat, the market is likely consolidating, meaning trend-following strategies will be ineffective. ### Support and Resistance Levels MAs can also act as dynamic support and resistance levels when markets are trending. In an uptrend they can serve as support, with price frequently bouncing off the major moving averages, creating opportunities for traders. Similarly, in a downtrend, MAs can be used as resistance levels, preventing breakouts and signaling selling pressure. At least part of the reason moving averages consistently provide support and resistance is because traders expect them to, creating a self-fulfilling prophecy. In other words, if everyone thinks price will reverse at a certain level, it probably will because traders will look to enter (or exit) at that level. Also, depending on the strength of the trend and the time frame of the moving average (20-, 50- or 200-period), price will often behave differently around different moving averages. At the 20-day, for example, it might find support or resistance and reverse quickly, resuming its previous trend. But at the 50-day or 200-day, it's more likely to consolidate for some time before continuing with the longer-term trend. ## Effective Strategies for Using Moving Averages When it comes to executing a trading system, as opposed to just getting a read on a market, moving averages are most useful with trend-following or as support or resistance in counter-trend pullbacks. ### Price Crossovers Price crossing over a moving average could provide a signal in itself, one of a trend reversal or continuation. A bullish crossover occurs when the price moves above a moving average, signaling potential upside momentum. A bearish crossover happens when the price drops below a moving average, indicating a possible downtrend. For example, following a pullback in a trending market, an asset again rises above its 20-day EMA. That can be considered a bullish signal, indicating potential upside momentum to follow. A stop-loss order just below the 20-day will help manage risk. Traders also often use price crossovers as a filter. For example, from a technical standpoint, it would be unwise to short an asset that is rising above a steadily rising 20-day SMA and vice versa. MA Price Crossover. Tradingview ### Moving Average Crossovers The dual moving average strategy involves a short-term MA crossing a longer-term MA. For some traders, this alone can serve as a buy or sell signal, indicating the start or end of a trend. When the short-term average moves above the long-term average—say, the 50-SMA crosses above the 200-SMA—it's called a [golden cross](https://www.investopedia.com/terms/g/goldencross.asp) and signals the start of a possible uptrend. Conversely, a [death cross](https://www.investopedia.com/terms/d/deathcross.asp) happens when the 50-SMA crosses below the 200-SMA, indicating a downtrend. Traders use dual crossovers across virtually every asset class, adjusting the moving averages' periods to fit their strategy and market. This method is effective for trend following but can also frequently produce false signals and whipsaws. The key to profitability is position sizing and making sure the winners are far bigger than the losers. Generally, traders risk 1% to 2% of capital per trade and set minimum risk-reward ratios. SMA Dual Crossover. Tradingview ## Pros and Cons of Using Moving Averages Pros - Trend Identification - Dynamic Support and Resistance Levels - Helps Reduce Market Noise - Trade Signal Generation - Works Across Different Timeframes and Markets - Can be Used with Other Indicators Cons - Lagging Indicator - Ineffective in Sideways or Choppy Markets - False Signals and Whipsaws - Lacks Predictability ## Improving Your Moving Average Techniques ### Combining with Other Indicators Combining MAs with other indicators enhances accuracy by filtering out false signals. It also helps with trend confirmation. Moreover, volume analysis strengthens MA crossovers as high volume supports bullish or bearish moves, while low volume may indicate a false breakout. The [Moving Average Convergence Divergence (MACD)](https://www.investopedia.com/terms/m/macd.asp) helps confirm momentum shifts, while the [Relative Strength Index (RSI)](https://www.investopedia.com/terms/r/rsi.asp) ensures MAs are signaling trades when there is negative or positive divergence. [Bollinger Bands](https://www.investopedia.com/terms/b/bollingerbands.asp) validate breakouts, helping traders avoid weak signals in sideways markets. [Average True Range (ATR)](https://www.investopedia.com/terms/a/atr.asp) adjusts MA sensitivity based on volatility, ensuring traders use shorter MAs in quiet markets and longer MAs in volatile conditions. ## The Bottom Line Moving averages are quite useful in recognizing the state of the market. However, their effectiveness as trading signals depends on market conditions and risk management. Traders adjust the types of moving averages they use and the number of periods based on their trading strategy and frequently combine them with other indicators such as the MACD, RSI, and Bollinger Bands. Finally, as MAs tend to lag in choppy markets, combining them with risk management tools like stop-losses and position sizing helps ensure better decision-making.
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