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Seef Properties BSC (BAH:SEEF) 50-Day SMA : BHD0.14 (As of May. 15, 2024)


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What is Seef Properties BSC 50-Day SMA?

Moving averages are one of the core indicators in technical analysis. A Simple Moving Average (SMA) is simply the arithmetic average of stock price over a period. It is calculated by adding a selected range of prices, usually closing prices, and then dividing that figure by the number of time periods in that range.

The 50-Day SMA calculates the average price over 50 days. And the 20-Day SMA and 200-Day SMA calculates the average price over 20 days and 200 days separately.

As of today (2024-05-15), Seef Properties BSC's 50-Day SMA is BHD0.14. It's 20-Day SMA is BHD0.14 and 200-Day SMA is BHD0.15.


Competitive Comparison of Seef Properties BSC's 50-Day SMA

For the Real Estate Services subindustry, Seef Properties BSC's 50-Day SMA, along with its competitors' market caps and 50-Day SMA data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Seef Properties BSC's 50-Day SMA Distribution in the Real Estate Industry

For the Real Estate industry and Real Estate sector, Seef Properties BSC's 50-Day SMA distribution charts can be found below:

* The bar in red indicates where Seef Properties BSC's 50-Day SMA falls into.



Seef Properties BSC  (BAH:SEEF) 50-Day SMA Calculation

The formula for calculating SMA is:

SMA=( P1 + P2 + ... + Pn ) / n

where:
Pn is the price of the stock at period n.
n is the total number of periods.

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


Seef Properties BSC  (BAH:SEEF) 50-Day SMA Explanation

Simple Moving Average (SMA) is the arithmetic average of stock price over a period. The 20-Day SMA calculates the average price over 20 days. And the 50-Day SMA and 200-Day SMA calculates the average price over 50 days and 200 days separately. SMAs are often used to determine the price trend direction. A 200-Day SMA is usually a proxy for the long-term trend, while shorter periods indicate short-term trend.

SMA are commonly compared with stock price or different period SMAs to indicate a trading signal. Generally speaking, if the price goes above the SMA, or a short-term SMA crosses above a long-term SMA, an uptrend is expected, investors may want to go long or cover short. Conversely, if the price goes below the SMA, or the short-term SMA crosses below a long-term SMA, a downtrend is expected, investors may want to go short or exit long.

Two popular trading patterns that use SMA include the death cross and a golden cross. A death cross occurs when the 50-day SMA crosses below the 200-day SMA. This is considered a bearish signal, that further losses are in store. The golden cross is a bullish signal which occurs when a short-term SMA crosses above a long-term SMA.


Seef Properties BSC 50-Day SMA Related Terms

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Seef Properties BSC (BAH:SEEF) Business Description

Traded in Other Exchanges
N/A
Address
Building 2102, Road 2825, Block 428, P.O. Box 20084,, Seef District, Manama, BHR
Seef Properties BSC is an integrated real estate development company in the Kingdom of Bahrain. The company specialised in developing and managing commercial leisure and recreational facilities. It also owns and manages three Seef Malls located in different areas around the Kingdom. Magic Island, is an Indoor theme park located within its Malls. Al Liwan, a mixed-use development project, and Fraser Suites Seef Bahrain serviced apartments located in Seef Mall and managed by Fraser Suites, a global hospitality brand.

Seef Properties BSC (BAH:SEEF) Headlines

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