# Definition of SMA :

Here, **SMA** means a simple moving average. It is an **average moving** by adding recent closing prices and dividing the period numbers. A simple, or arithmetic, the moving average calculated by adding several periods to the closing price of the security and then dividing that total by the same amount of periods. Short-term averages respond quickly to underlying price changes, while long-term averages react slow.

- This is an indicator of continuing asset price or reverse a bull or trend of the bear.
- This is calculated asset price over some particular period in the arithmetic average.
- As an exponential moving average (EMA), which weighs more heavily on recent price action, we can enhance it.

## The formula of SMA:

SMA = A1+ A2+….+An/ n

A = The price of the asset of a particular period

n The total number of periods.

### Limitations :

- Whether we should place more emphasis on the most recent days of the period or more distant data is unclear.
- Many traders feel that new data will better reflect the trend in which security moves the ball while others believe the trend will be biased mostly by privileging certain dates than others.
- This is true for historical data. That they think efficient in markets.

#### Advantages and disadvantages of SMA

The calculation of SMA is most straight forward over the period. The SMA’s main advantage is that it offers a smooth line that is less likely to whip up and down in response to slight, temporary price changes.

It gives a more stable level of resistance. The weakness of the **SMA** is that responding to rapid price changes that often occur at reversal points in the market is slower. **Traders** or analysts that function on longer time frames, such as weekly charts, often favor the SMA.

#### Exponential moving average (EMA) definition:

This is also a moving average that the weight and significance of recent data points.

It also recognizes the exponential moving average as the exponentially weighted moving average. An exponentially measured moving average reacts more than a simple moving average (SMA) to recent price changes.

- It takes the average place of greater weight and the most recent data.
- They use this technical
**indicator**, like all moving averages, to produce buy and sell signals from the historical average based on crossovers and divergences. For example, 20-day, 30-day, 90-day, and 200 fastest-moving averages often use traders on several EMA days.

### The Formula for EMA Is

EMA today = (VALUE today*(smoothing/1+days)) + EMA yesterday* (1-(smoothing/1+days))

Here EMA = exponential moving average.

##### Limitations

Whether we should place more emphasis on the period’s most recent days or more distant data is unclear. Many traders feel that new data will best represent the trend with which security shifts while others believe the trend will be biased by privileging certain dates than others. Therefore, recency bias is subject to the **EMA**.

#### Advantages and disadvantages of EMA :

- The advantage of the EMA is that it responds quickly to price changes than the SMA does by being weighted to the recent price improvements. This is helpful for traders trying to trade highs and lows
**intraday****swing**, as the trend of other EMA signals is changing faster than the SMA. - The concurrent disadvantage of the EMA’s sensitivity is that it is more vulnerable to false signals and back-forth fluctuating wildly. The EMA is used by traders trading on charts to shorter time layers, such as a 15-min or hour chats.

**Difference between SMA and EMA**

- The
**SMA**gives only the weighting value of all. but EMA gives a higher weighting to the current price. - These are the same manner which is commonly used smooth traders on the old dates, these are mainly receiving the latest price changes the SMA’s. This makes EMA results more timely and explains why the EMA is the preferred average for so many
**merchants**.

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