What is EMA? How to Use Exponential Moving Average With Formula

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What Is an Exponential Moving Average (EMA)?

An exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average (SMA), which applies an equal weight to all observations in the period.

Key Takeaways

  • The EMA is a moving average that places a greater weight and significance on the most recent data points.
  • Like all moving averages, this technical indicator is used to produce buy and sell signals based on crossovers and divergences from the historical average.
  • Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages.

Simple Vs. Exponential Moving Averages

Formula for Exponential Moving Average (EMA)


E M A Today = ( Value Today ( Smoothing 1 + Days ) ) where: \begin{aligned} &\begin{aligned} EMA_{\text{Today}}=&\left(\text{Value}_{\text{Today}}\ast\left(\frac{\text{Smoothing}}{1+\text{Days}}\right)\right)\\ &+EMA_{\text{Yesterday}}\ast\left(1-\left(\frac{\text{Smoothing}}{1+\text{Days}}\right)\right)\end{aligned}\\ &\textbf{where:}\\ &EMA=\text{Exponential moving average} \end{aligned}
EMAToday=(ValueToday(1+DaysSmoothing))where:

While there are many possible choices for the smoothing factor, the most common choice is:

That gives the most recent observation more weight. If the smoothing factor is increased, more recent observations have more influence on the EMA.

Calculating the EMA

Calculating the EMA requires one more observation than the SMA. Suppose that you want to use 20 days as the number of observations for the EMA. Then, you must wait until the 20th day to obtain the SMA. On the 21st day, you can then use the SMA from the previous day as the first EMA for yesterday.

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The calculation for the SMA is straightforward. It is simply the sum of the stock’s closing prices during a time period, divided by the number of observations for that period. For example, a 20-day SMA is just the sum of the closing prices for the past 20 trading days, divided by 20.

Next, you must calculate the multiplier for smoothing (weighting) the EMA, which typically follows the formula: [2 ÷ (number of observations + 1)]. For a 20-day moving average, the multiplier would be [2/(20+1)]= 0.0952.

Finally, the following formula is used to calculate the current EMA:

  • EMA = Closing price x multiplier + EMA (previous day) x (1-multiplier)

The EMA gives a higher weight to recent prices, while the SMA assigns equal weight to all values. The weighting given to the most recent price is greater for a shorter-period EMA than for a longer-period EMA. For example, an 18.18% multiplier is applied to the most recent price data for a 10-period EMA, while the weight is only 9.52% for a 20-period EMA.

There are also slight variations of the EMA arrived at by using the open, high, low, or median price instead of using the closing price.

Image by Sabrina Jiang © Investopedia 2020

What Does the EMA Tell You?

The 12- and 26-day exponential moving averages (EMAs) are often the most quoted and analyzed short-term averages. The 12- and 26-day are used to create indicators like the moving average convergence divergence (MACD) and the percentage price oscillato (PPO). In general, the 50- and 200-day EMAs are used as indicators for long-term trends. When a stock price crosses its 200-day moving average, it is a technical signal that a reversal has occurred.

Traders who employ technical analysis find moving averages very useful and insightful when applied correctly. However, they also realize that these signals can create havoc when used improperly or misinterpreted. All the moving averages commonly used in technical analysis are lagging indicators.

Consequently, the conclusions drawn from applying a moving average to a particular market chart should be to confirm a market move or to indicate its strength. The optimal time to enter the market often passes before a moving average shows that the trend has changed.

An EMA does serve to alleviate the negative impact of lags to some extent. Because the EMA calculation places more weight on the latest data, it “hugs” the price action a bit more tightly and reacts more quickly. This is desirable when an EMA is used to derive a trading entry signal.

Like all moving average indicators, EMAs are much better suited for trending markets. When the market is in a strong and sustained uptrend, the EMA indicator line will also show an uptrend and vice-versa for a downtrend. A vigilant trader will pay attention to both the direction of the EMA line and the relation of the rate of change from one bar to the next. For example, suppose the price action of a strong uptrend begins to flatten and reverse. From an opportunity cost point of view, it might be time to switch to a more bullish investment.

Examples of How to Use the EMA

EMAs are commonly used in conjunction with other indicators to confirm significant market moves and to gauge their validity. For traders who trade intraday and fast-moving markets, the EMA is more applicable. Quite often, traders use EMAs to determine a trading bias. If an EMA on a daily chart shows a strong upward trend, an intraday trader’s strategy may be to trade only on the long side.

The Difference Between EMA and SMA

The major difference between an EMA and an SMA is the sensitivity each one shows to changes in the data used in its calculation.

More specifically, the EMA gives higher weights to recent prices, while the SMA assigns equal weights to all values. The two averages are similar because they are interpreted in the same manner and are both commonly used by technical traders to smooth out price fluctuations.

Since EMAs place a higher weighting on recent data than on older data, they are more responsive to the latest price changes than SMAs. That makes the results from EMAs more timely and explains why they are preferred by many traders.

Limitations of the EMA

It is unclear whether or not more emphasis should be placed on the most recent days in the time period. Many traders believe that new data better reflects the current trend of the security. At the same time, others feel that overweighting recent dates creates a bias that leads to more false alarms.

Similarly, the EMA relies wholly on historical data. Many economists believe that markets are efficient, which means that current market prices already reflect all available information. If markets are indeed efficient, using historical data should tell us nothing about the future direction of asset prices.

What Is a Good Exponential Moving Average?

The longer-day EMAs (i.e. 50 and 200-day) tend to be used more by long-term investors, while short-term investors tend to use 8- and 20-day EMAs. 

Is Exponential Moving Average Better Than Simple Moving Average?

The EMA focused more on recent price moves, which means it tends to respond more quickly to price changes than the SMA. 

How Do You Read Exponential Moving Averages?

Investors tend to interpret a rising EMA as a support to price action and a falling EMA as a resistance. With that interpretation, investors look to buy when the price is near the rising EMA and sell when the price is near the falling EMA. 

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76ERS at KNICKS | FULL GAME HIGHLIGHTS | February 5, 2023

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Never miss a moment with the latest news, trending stories and highlights to bring you closer to your favorite players and teams.
Download now: https://app.link.nba.com/APP22

The New York Knicks defeated the Philadelphia 76ers, 108-97. Julius Randle recorded 24 points, 9 rebounds and 7 assists for the Knicks, while Evan Fournier added a season-high 17 points (5-8 3pt FG) in the victory. Joel Embiid tallied 31 points, 14 rebounds and 3 assists for the 76ers. The Knicks improve to 29-26, while the 76ers fall to 34-18.

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Candlestick Chart Definition and Basics Explained

Written by admin. Posted in Technical Analysis

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What Is A Candlestick?

A candlestick is a type of price chart used in technical analysis that displays the high, low, open, and closing prices of a security for a specific period. It originated from Japanese rice merchants and traders to track market prices and daily momentum hundreds of years before becoming popularized in the United States. The wide part of the candlestick is called the “real body” and tells investors whether the closing price was higher or lower than the opening price (black/red if the stock closed lower, white/green if the stock closed higher).

Key Takeaways

  • Candlestick charts display the high, low, open, and closing prices of a security for a specific period.
  • Candlesticks originated from Japanese rice merchants and traders to track market prices and daily momentum hundreds of years before becoming popularized in the United States.
  • Candlesticks can be used by traders looking for chart patterns.

The Basics Of A Candlestick

Image by Julie Bang © Investopedia 2020

The candlestick’s shadows show the day’s high and low and how they compare to the open and close. A candlestick’s shape varies based on the relationship between the day’s high, low, opening and closing prices.

Candlesticks reflect the impact of investor sentiment on security prices and are used by technical analysts to determine when to enter and exit trades. Candlestick charting is based on a technique developed in Japan in the 1700s for tracking the price of rice. Candlesticks are a suitable technique for trading any liquid financial asset such as stocks, foreign exchange and futures.

Long white/green candlesticks indicate there is strong buying pressure; this typically indicates price is bullish. However, they should be looked at in the context of the market structure as opposed to individually. For example, a long white candle is likely to have more significance if it forms at a major price support level. Long black/red candlesticks indicate there is significant selling pressure. This suggests the price is bearish. A common bullish candlestick reversal pattern, referred to as a hammer, forms when price moves substantially lower after the open, then rallies to close near the high. The equivalent bearish candlestick is known as a hanging man. These candlesticks have a similar appearance to a square lollipop, and are often used by traders attempting to pick a top or bottom in a market.

Traders can use candlestick signals to analyze any and all periods of trading including daily or hourly cycles—even for minute-long cycles of the trading day.

Two-Day Candlestick Trading Patterns

There are many short-term trading strategies based upon candlestick patterns. The engulfing pattern suggests a potential trend reversal; the first candlestick has a small body that is completely engulfed by the second candlestick. It is referred to as a bullish engulfing pattern when it appears at the end of a downtrend, and a bearish engulfing pattern at the conclusion of an uptrend. The harami is a reversal pattern where the second candlestick is entirely contained within the first candlestick and is opposite in color. A related pattern, the harami cross has a second candlestick that is a doji; when the open and close are effectively equal.

Three-Day Candlestick Trading Patterns

An evening star is a bearish reversal pattern where the first candlestick continues the uptrend. The second candlestick gaps up and has a narrow body. The third candlestick closes below the midpoint of the first candlestick. A morning star is a bullish reversal pattern where the first candlestick is long and black/red-bodied, followed by short candlestick that has gapped lower; it is completed by a long-bodied white/green candlestick that closes above the midpoint of the first candlestick.

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