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SCOR SE (XPAR:SCR) 50-Day SMA : €30.29 (As of May. 21, 2024)


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What is SCOR SE 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 (2024-05-21), SCOR SE's 50-Day SMA is €30.29. It's 20-Day SMA is €30.84 and 200-Day SMA is €28.78.


Competitive Comparison of SCOR SE's 50-Day SMA

For the Insurance - Reinsurance subindustry, SCOR SE'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.


SCOR SE's 50-Day SMA Distribution in the Insurance Industry

For the Insurance industry and Financial Services sector, SCOR SE's 50-Day SMA distribution charts can be found below:

* The bar in red indicates where SCOR SE's 50-Day SMA falls into.



SCOR SE  (XPAR:SCR) 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.


SCOR SE  (XPAR:SCR) 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.


SCOR SE 50-Day SMA Related Terms

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SCOR SE (XPAR:SCR) Business Description

Address
5, avenue Kleber, Paris, FRA, 75116
Scor is the world's fifth-largest reinsurer selling non-life and life reinsurance. Scor global life insurers life insurance and annuities. In its co-insurance agreements Scor shares in premiums and claims of life insurance contracts that have been sold by a primary insurer. In its excess of loss agreements, Scor reimburses a primary insurer for claims that are filed above an agreed amount. Scor also sells property and casualty reinsurance in co-insurance and excess of loss. Historically Scor has been better in specialist lines and not as good in lines where there is a large potential for loss. Having recently grown in natural catastrophe book, standards of underwriting have not been good. The business has subsequently decided to move back to its historical roots.